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Lakes, as key recorders of sedimentation regime variations, have undergone dramatic erosion/deposition worldwide in response to global warming and increasing anthropogenic interference. Poyang Lake, China's largest freshwater lake, has not escaped these variations. Herein, we show that the sedimentation in Poyang Lake has likely undergone a unique phase shift from sediment sink (annually storing 421 × 10⁴ t) during 1960–1999 to sediment source (yearly losing 782 × 10⁴ t) during 2000–2012, with respect to the Changjiang (Yangtze) River. In comparison with sedimentation during 1960–1999, Poyang Lake sedimentation during the period 2000–2012 is characterized by no deposition during the flood season and enhanced erosion during the dry season. Furthermore, Poyang Lake's largest delta, the Ganjiang Delta, prograded at a rate of 32.7 m/a from 1983 to 1996, which increased to 52.8 m/a from 1996 to 2005 but dropped significantly to 1.7 m/a from 2005 to 2015. A sediment core collected in the shallow-water shoal of the central lake indicates a stable increase in sedimentation flux from 1960 to 2002, with a mean value of 0.27 g/(cm²·a), followed by a decline in sedimentation flux after 2002. Our findings show that the tributary sediment input from the lake catchment dominated the sedimentation of Poyang Lake prior to 2000, when it was significantly larger than the sediment output to the Changjiang River. However, thereafter, the contribution of tributary sediment to the output dropped by 50%, and the rest has been provided by the lake itself. Namely, channels along Poyang Lake's waterway became the additional source of the lake's sediment output in the 2000s.
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Decadal Sedimentation in Chinas Largest Freshwater Lake,
Poyang Lake
Xuefei Mei
1
, Juan Du
1
, Zhijun Dai
1,2
, Jinzhou Du
1
, Jinjuan Gao
1
, and Jie Wang
1
1
State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, China,
2
Laboratory for
Marine Geology, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
Abstract Lakes, as key recorders of sedimentation regime variations, have undergone dramatic
erosion/deposition worldwide in response to global warming and increasing anthropogenic interference.
Poyang Lake, Chinas largest freshwater lake, has not escaped these variations. Herein, we show that the
sedimentation in Poyang Lake has likely undergone a unique phase shift from sediment sink (annually
storing 421 × 10
4
t) during 19601999 to sediment source (yearly losing 782 × 10
4
t) during 20002012, with
respect to the Changjiang (Yangtze) River. In comparison with sedimentation during 19601999, Poyang
Lake sedimentation during the period 20002012 is characterized by no deposition during the ood season
and enhanced erosion during the dry season. Furthermore, Poyang Lakes largest delta, the Ganjiang Delta,
prograded at a rate of 32.7 m/a from 1983 to 1996, which increased to 52.8 m/a from 1996 to 2005 but
dropped signicantly to 1.7 m/a from 2005 to 2015. A sediment core collected in the shallow-water shoal of
the central lake indicates a stable increase in sedimentation ux from 1960 to 2002, with a mean value of
0.27 g/(cm
2
·a), followed by a decline in sedimentation ux after 2002. Our ndings show that the tributary
sediment input from the lake catchment dominated the sedimentation of Poyang Lake prior to 2000, when it
was signicantly larger than the sediment output to the Changjiang River. However, thereafter, the
contribution of tributary sediment to the output dropped by 50%, and the rest has been provided by the lake
itself. Namely, channels along Poyang Lakes waterway became the additional source of the lakes sediment
output in the 2000s.z
1. Introduction
Lake basins are some of the most biologically productive systems and provide a vital habitat for a multitude
of species, in particular a large amount of rare, threatened, and endangered species (Zedler & Kercher, 2005).
However, lacustrine systems around the globe uctuate strongly in response to rising temperature, changing
precipitation and evaporation, and increasing anthropogenic pressure (Beeton, 2002). For instance, a
majority of lakes on the Tibet Plateau, such as Lake Serling Co and Lake Nam Co, began to expand rapidly
in the late 1990s due to snow or glacier melting and evaporation decreases (Ma et al., 2016; G. Zhang
et al., 2015). The total Siberian lake area in the continuous permafrost region increased by 12% from 1973
to 19971998, primarily driven by enhanced regional climate warming (Smith et al., 2005). In the Lower
Tuktoyaktuk Peninsula, northwestern Canada, lake area enlarged by 14% from 1979 to 1991, caused by a
cumulative precipitation increase (Plug et al., 2008). Meanwhile, the total surface area of nine major lakes
in arid regions of Central Asia decreased by almost 50% from 1975 to 2007, caused by agricultural water
consumption, reservoir construction, and decreased precipitation (Bai et al., 2011). Water level reductions
have been observed in 18 large lakes in China, located in the Yarlung Zangbu River basin, northern
Inner-Mongolia and Xinjiang, and the Northeast Plain of China, due to intensied evaporation, reduced
precipitation, increased water consumption, and exacerbated soil erosion (Wang, Gong, et al., 2013). The
surface areas of the Böön Tsagan and Orog lakes shrunk by 14% and 51%, respectively, from 1974 to 2013
because of decreasing precipitation and increasing evaporation (Szumińska, 2016). These changes are likely
to affect lake sedimentation in the anthropogenic era, which, however, are not well documented, especially
with regard to Chinas largest freshwater lake, Poyang Lake.
Poyang Lake, located in the middle stream of the Changjiang River, provides a habitat for approximately 44
million people (D. W. Zhang et al., 2015) as well as over 200 species of migratory waterfowl, including the
special Siberian white crane (Grus leucogeranus; Jiao, 2009). Despite its vital socioeconomic and ecological
signicance, the depositional system of Poyang Lake has become more fragile since the beginning of the
MEI ET AL. 1
Geochemistry, Geophysics, Geosystems
RESEARCH ARTICLE
10.1029/2018GC007439
Key Points:
Poyang Lake (PYL) sedimentation
undergoes a unique phase shift
around the year of 2000
PYL presents no deposition in ood
season and more erosion in dry
season
Channel erosion is the main
sediment source from PYL to
Changjiang currently
Supporting Information:
Supporting Information S1
Correspondence to:
Z. Dai,
zjdai@sklec.ecnu.edu.cn
Citation:
Mei, X., Du, J., Dai, Z., Du, J., Gao, J., &
Wang, J. (2018). Decadal sedimentation
in Chinas largest freshwater lake,
Poyang Lake. Geochemistry, Geophysics,
Geosystems,19. https://doi.org/10.1029/
2018GC007439
Received 19 JAN 2018
Accepted 24 JUN 2018
Accepted article online 26 JUL 2018
©2018. American Geophysical Union.
All Rights Reserved.
21st century, with its surface area reduced by 226 km
2
between 1991 and 2010 (Q. Zhang, Li et al., 2014),
while exposed wetland area in October increased by 1,078 km
2
from 1955 to 2012 (Mei et al., 2016).
Meanwhile, sediment exchanges between Poyang Lake and the Changjiang has experienced dramatic
variations. The Changjiang River no longer supplied sediment to Poyang Lake after 2003 but, instead,
received signicant amounts from the lake (Gao et al., 2014). Lai, Shankman, et al. (2014) indicated that
extensive sand mining has deepened the Poyang Lake-Changjiang watercourse and increased the total
sediment load outow from Poyang Lake to the Changjiang. Mei et al. (2015) showed that riverbed
erosion along the Changjiang River has increased the lake-river hydraulic gradient, causing the lake to
discharge more sediment to the river. Furthermore, the sedimentation of Poyang Lake is also affected by
the sediment input to the lake. Gao et al. (2015) showed that the sediment load entering Poyang Lake has
undergone a dramatic decline since 1990 as the sediment interception by upstream dams has continued
to increase. Wu et al. (2015) observed that because of afforestation and reservoir construction within the
catchment, the bathymetry of the main body of Poyang Lake experienced much slower deposition during
19982010 in comparison with 19801998. Despite ongoing efforts to evaluate Poyang Lakes dramatic
sediment variations as well as their possible causes, little study has been focused on Poyang Lakes
sedimentation in response to its sediment budget variation. A quantitative understanding of Poyang
Lakes sedimentation could greatly enrich lacustrine science research, which is an essential reference not
only for the management of Poyang Lake itself but also for the management of other lake systems that
are facing similar threats.
Therefore, the main goals of this study are (1) to explore Poyang Lakes sedimentation from 1960 to 2012 at
seasonal and yearly scales, (2) to reveal the shoreline evolution of the lake delta and the sedimentation rate of
the lake shoal, and (3) to detect the possible factors affecting the sedimentation of Poyang Lake.
2. Materials and Methods
2.1. Poyang Lake and Its Hydrological System
Poyang Lake (28°22029°450N, 115°470116°450E; Figure 1a), is Chinas largest freshwater lake, spanning
170 km from north to south and 74 km at its widest section from east to west (Lai, Huang, et al., 2014). The
lake can be further divided into a northern and southern section. While the southern region is characterized
by a relatively broad and shallow morphology, the northern area is narrow and long with a natural water
Figure 1. Study area of Poyang Lake, with (a) Poyang Lakes location relative to the Changjiang River, the Three Gorges
Dam, and the East China Sea; (b) Poyang Lake Catchment; (c) Poyang Lake basin, where the cross sections CS1 and
CS2 refer to the cross section shown in Figure 6 and the cross section Jiujiang and Hukou refer to the cross section shown in
Figure 7.
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channel connecting the lake to the Changjiang River (Figure 1b). The
average bathymetry decreases from the south (>16 m) to the north
(12 m; Wu & Liu, 2015). The hydrological regime of the lake catchment
is dominated by the balance between the inow from the upstream
tributaries and the output to the Changjiang River.
The Poyang Lake catchment receives water and sediment from ve
major inland tributaries, namely, Xiushui, Ganjiang, Fuhe, Xinjiang,
and Raohe (Figure 1b). These tributaries contribute 85.4% of the total
water discharge and 87.2% of the sediment load entering the lake
(Gao et al., 2014). The Ganjiang River, the largest contributing tributary, accounts for 62.8% and 67.9% of
the total water and sediment discharge input, respectively (Q. Zhang, Sun et al., 2011). It also creates the
largest lacustrine delta, the Ganjiang Delta, within the Poyang Lake basin (Ma & Wei, 2002).
Poyang Lake naturally connects to the Changjiang River at Hukou at the northernmost point of the lake and
interacts with the river through a deep waterway (Figure 1c). Water discharge from the ve tributaries
reaches its maximum during April to June and declines rapidly from July to September. However, unlike
the other tributaries, the ood season of Changjiang River ranges from July to September (Mei et al., 2018).
As a consequence, Poyang Lake exhibits two distinct hydrologic processes at the outlet: discharging
water/sediment into Changjiang River from April to June and occasionally receiving water/sediment from
the river from July to September (Mei et al., 2015).
2.2. Data Sources and Contributions
Data used in this study mainly include the following: (1) monthly water discharge and suspended sediment
discharges at Hukou, Wanjiabu, Waizhou, Lijiadu, Meigang, Hushan, and Dufengkeng from 1960 to 2012 were
acquired from the Changjiang Water Resources Commission (CWRC, www.cjw.gov.cn). These data were used
to estimate the net water and sediment budgets of Poyang Lake. (2) Geomorphic features of Hukou, Jiujiang,
and Poyang Lake basin, specically their cross-section morphologies from 1980 to 2011, which were used to
evaluate the long-term bathymetric evolution of the Poyang Lake shoal-channel and intersection zone of
Poyang Lake and the Changjiang River. The cross sections at Hukou and Jiujiang were measured with an echo
sounder and GPS-RTK, where the specic number and location of sampling points were set according to the
section width. The cross-section morphologies were acquired from the CWRC. The cross-section morpholo-
gies at two locations in Poyang Lake were extracted based on the bathymetric maps of 1980, 1998, and
2010 at the scale of 1:10,000 from CWRC and Wu et al. (2015), which were rst digitized through ArcGIS
and then gridded into 30 × 30 m resolution using the Kriging method (Wu et al., 2015). All the hydrological
and geomorphological measurements strictly follow the national industry standards. (3) Remote sensing
images of the Ganjiang Delta on 28 November 1983, 23 November 1996, 31 October 2005, and 19 October
2015, when the water level at the Duchang hydrometric station corresponded to a similar water level of
12.5 m (relative to Wusong datum), were obtained from the U.S. Geological Survey (USGS) Earth Resources
Observation and Science Center (https://eros.usgs.gov), with a spatial resolution ranging from 30 to 80 m
(Table 1). In view of the small differences among the water levels in the four Landsat images, we assume that
the one-dimensional shoreline variation magnitude can document erosion or accretion of Ganjiang Delta. In
addition, a eld survey was carried out over Poyang Lake on 28 January 2015, with a sediment core collected
on 3 January 2015 at 29°25059N, 116°5016E (located at the lake shoal, a relatively shallow area along the
waterway; Figure 1c). The sediment core sample was further analyzed in the laboratory to determine the lake
shoals long-term sedimentary features (supporting information). All the stations mentioned above are illu-
strated in Figure 1.
2.3. Methods
2.3.1.
210
Pb Activities and Sedimentation Fluxes
Radiometric chronologies for sediment cores can provide reliable estimates of the sediment accumulation
rate and deposition process, which are of vital importance for inferring past environmental conditions.
Examining the activity of
210
Pb in sediment deposits is the most common technique for dating old sediments.
It was used in this study to trace the sedimentation of Poyang Lake.
Table 1
Remote Sensing Images and Corresponding Water Level at the Duchang Station
Type Time
Resolution
(m) Band
Water level
(m)
Landsat4-MSS 28 November 1983 80 4 12.78
Landsat5-TM 23 November 1996 30 7 12.88
Landsat5-TM 31 October 2005 30 7 12.39
Landsat7-ETM+ 19 October 2015 30 8 12.58
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The samples were oven-dried and sealed in a plastic box (70-mm diameter×35-mm height) for at least 20 days
to ensure equilibrium between
226
Ra and its daughter nuclides. The
210
Pb activity analysis was conducted
with an HPGe γ-ray detector (Canberra Be3830, 777 lead shield) with a 35% counting efciency. The
210
Pb
activity was determined from the γ-ray peak at 46.5 keV (4.25%), and the activity of
226
Ra was determined
at 295.2 keV (19.3%). The activity of
214
Pb was determined at 351.9 keV (37.6%) and that of
214
Bi was
determined at 609.3 keV (46.1%) and 1,120.3 keV (15%). Excess
210
Pb (
210
Pb
ex
) was calculated on the basis
of the distribution of total
210
Pb by subtracting the supported
210
Pb (i.e.,
226
Ra). An efciency calibration of
the detector systems was conducted by LabSOCS (Bronson, 2003). All data reported in the present work were
corrected for radioactive decay to the times of sampling.
The sedimentation uxes in core samples were calculated according to their
210
Pb
ex
activities with the
Constant Flux model, which assumes that the sedimentation rate is variable throughout the core while the
210
Pb
ex
ux to the core surface is constant (Appleby & Oldeld, 1978, 1983; Goldberg, 1963; McCall
et al., 1984).
2.3.2. Shoreline Extraction
The geomorphology of a delta can be delineated by its shoreline: the physical interface of land and water
(Dolan et al., 1980). Estimating the temporal changes in the shape and position of a shoreline is an effective
approach to detect the deltas dynamic geomorphological conditions (Davidson et al., 2010; Dellepiane et al.,
2004; Maiti & Bhattacharya, 2009; Szmytkiewicz et al., 2000).
Shoreline data are generally extracted based on an adaptive threshold of a water detection index. In this
study, the threshold was determined from single-band gray-scale using a histogram. Specically, pixels with
values higher than the threshold were coded as land pixels, while pixels with values lower than the threshold
were coded as water pixels. The deltas shoreline can thus be generated by achieving a good separation
between water and land regions. Boundary variations of the delta associated with accretion and erosion
processes were calculated through the Digital Shoreline Analysis System (DSAS) in a geographic information
system (GIS), which computes differences between shoreline positions based on the elapsed time and linear
distance (Thieler et al., 2009).
All Landsat 7 scenes collected since 31 May 2003 have wedge-shaped scan-to-scan gaps, resulting in a data
loss of approximately 22%. Filling in the gaps for these images in this study was carried out by the approach
of Scaramuzza et al. (2004).
2.3.3. Sediment budget of Poyang Lake
Sediment storage within Poyang Lake is primarily determined by the total sediment input from upstream
tributaries to the lake, the sediment release from the lake to the Changjiang River, and sediment loss through
sand mining, which was computed by the following equation:
S¼I1þI2þI3þI4þI5OM(1)
where I
1
,I
2
,I
3
,I
4
, and I
5
represent the sediment input (t) from the ve major tributaries of Poyang Lake
(Xiushui, Ganjiang, Fuhe, Xinjiang, and Raohe Rivers, respectively); Oindicates sediment output to the
Changjiang River through Hukou (t); and Mis sediment loss due to sand mining over the Poyang Lake basin
(t). It needs to mention that there is also sediment input from the rest of the tributaries of Poyang Lake to the
lake basin except the above ve major tributaries. In view of their relatively small contribution rate to the total
sediment entering the lake (12.8%; Gao et al., 2014) and shortage of long-term measurements, sediment
input from these tributaries to the Poyang Lake are not considered in our study. The ow direction through
Hukou is mainly from Poyang Lake to the Changjiang River, with approximately 14 days of inverse directed
ows occurring approximately 23 times per year (Cai & Ji, 2009), which is around 7% of the sediment output
and has a limited effect on the net sediment output.
2.3.4. Sediment Source Lifetime Estimation
When the tributary sediment input to Poyang Lake is less than the lakes sediment output to the Changjiang
River, the lake itself provides sediment to the Changjiang River in order to maintain the sediment balance.
Thus, a new sediment source in addition to the upstream tributaries appears.
The lifetime of a sediment source is dened by the length of time that it can contribute sediment. Channels
along the waterway only provide sediment to the Changjiang River when the lakebed is higher than the
riverbed under the force of a discharge gradient (the location of channels along the waterway is shown in
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MEI ET AL. 4
Figure 1c). The length of time over which the channels can provide sediment to the Changjiang River was
calculated as follows:
Tc¼H=Er(2)
where His the elevation difference between the lakebed (channel) and the riverbed (Jiujiang; m) and E
r
is the
erosion rate (m/a). Note that the calculations in this study related to Poyang Lakes future sedimentation were
based on the current high sediment loss rate, which is probably an extreme case since the sediment
consumption rate in coming decades is likely to slow down gradually.
3. Results
3.1. Annual Variations in the Sediment Budget of Poyang Lake
Poyang Lake experienced only slight variations in annual water discharge input and output from 19602012,
and as a result, there was no signicant variation in the water budget (Figures 2a2c). On the other hand,
large changes were detected in the sediment budget of Poyang Lake. On the decadal scale, annual mean
sediment input increased slightly, from 1,352 × 10
4
t/a during the 1960s to 1,532 × 10
4
t/a during the
1970s and 1,424 × 10
4
t/a during the 1980s; thereafter, it considerably dropped to 1,032 × 10
4
t/a during
the 1990s and further to 603 × 10
4
t/a after 2000 (Figure 2f). Decadal average sediment output from the lake
to the Changjiang River stabilized at approximately 1,000 × 10
4
t/a during the 1960s to the 1980s, but
declined to 628 × 10
4
t/a during the 1990s, followed by a sudden increase to 1,200 × 10
4
t/a after 2000
(Figure 2f). Moreover, sand mining at a rate of 236 × 10
6
m
3
/a during 20012008 (de Leeuw et al., 2010)
further increased the lakes sediment loss and exacerbated the negative balance in the sediment budget
of the lake (Figure 2d). Broader trends for the whole observation period show that annual sediment input
to Poyang Lake exhibited a statistically signicant decreasing trend (p<0.01) over 19602012, while sedi-
ment output to the Changjiang River showed almost no change despite a signicant rise occurring after
2000 (Figure 2d). This led to a statistically observable decrease (p<0.01) in the sediment budget of
Poyang Lake (Figure 2e). In summary, the total tributary sediment input was larger than the output to the
Changjiang River during 19601999. In 2000, however, the sediment output surpassed the contemporaneous
input for the rst time, with the maximum yearly sediment loss of 1528 × 10
4
t/a occurring in 2003 (Figure 2e).
3.2. Seasonal Variations in the Sediment Budget of Poyang Lake
During the ood season, from May to October, both sediment input from the ve tributaries and the sedi-
ment budget of Poyang Lake exhibited a statistically signicant decrease (p<0.01) from 1960 to 2012
(Figures 2g2h). Specically, average annual sediment input and output in ood season were 904 × 10
4
t
and 123 × 10
4
t, respectively, during 19601999 (Figure 2i), indicating sediment deposition of over
781 × 10
4
t/a (Figure 2i). Since 2000, the sediment budget of Poyang Lake during the ood season was almost
balanced with both sediment input and output equaling approximately 400 × 10
4
t (Figure 2i).
As for the dry season from November to April of the next year, the lake received 432 × 10
4
t of sediment and
contributed 791 × 10
4
t to the Changjiang River during 19601999 annually (Figure 2l), which resulted in a
yearly loss of 360 × 10
4
t (Figure 2l). During 20002012, the sediment loss became much more dramatic when
the lake annually received 183 × 10
4
t but provided 820 × 10
4
t of sediment (Figure 2l), losing over 600 × 10
4
t
yearly (Figure 2l). Accordingly, the seasonal sedimentation dynamics over Poyang Lake since 2000 are char-
acterized by approximately no deposition during the ood season and strong erosion during the dry season.
3.3. Shoreline Variation of Poyang Lakes Delta
The sediment budget variability of Poyang Lake is partly reected by the shoreline evolution of its delta.
Located in the southwestern region of Poyang Lake, the Ganjiang Delta covers an area of 1,600 km
2
, account-
ing for 70% of Poyang Lakes depositional area. The delta can be further divided into three zones, namely,
upper delta plain, lower delta plain, and subaqueous delta (Figure 3).
The delta generally has a fan shape with a dendritic structure (Figure 4). Over time, it has become more pro-
truded with crenulated margins. Specically, from 1983 to 1996, the shoreline of the Ganjiang Delta pro-
graded approximately 425 m lakeward on average, suggesting an annual mean shoreline migration rate of
32.7 m/a (Figure 4e, D-D0) and a total progradation area of 14.4 km
2
. Progradation continued through 2005
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Figure 2. Temporal discharge and sediment budget for Poyang Lake from 1960 to 2012. (a) Annual discharge input and output of Poyang Lake. (b) Annual net water
budget. (c) Decadal discharge input, output, and budget. (d) Annual sediment input, output, and sand loss due to sand mining in Poyang Lake, with the
blue line showing a statistically signicant trend and the red line showing an insignicant trend. (e) Annual net sediment budget, with the black line showing a
statistically signicant trend and the green circle indicating maximum sediment loss. (f) Decadal sediment input, output, and budget. (g) Sediment input and output
of Poyang Lake during the ood season, with the blue line showing a statistically signicant trend. (h) Net sediment budget during ood season, with the
black line showing a statistically signicant trend and the green circle indicating maximum sediment loss. (i) Decadal sediment input, output and budget during the
ood season. (j) Sediment input and output of Poyang Lake during the dry season. (k) Net sediment budget during the dry season, with the green circle
indicating maximum sediment loss. (l) Decadal sediment input, output, and budget during the dry season.
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and mainly occurred in the northern area, with a maximum distance of
1.5 km lakeward (Figure 4e, D-D0). On average, the progradation rate of
the Ganjiang delta shoreline during 19962005 was 52.6 m/a with a
total propagation area of 16.2 km
2
. From 2005 to 2015, the shoreline
change was no longer uniform along the delta front, since both progra-
dation and retrogradation were detected in different regions.
Specically, the southern area exhibited observable progradation, with
a maximum progradation of 951.7 m (Figure 4e, D-D0), while the
northern area exhibited substantial shrinking, with a maximum retro-
gradation of 899.9 m (Figure 4e, A-A0). As a whole, the Ganjiang
Deltas shoreline prograded at an average rate of 1.7 m/a from 2005
to 2015, showing a total propagation area of 1.6 km
2
, which is much
lower than the previous two periods. Furthermore, the once unied
delta became fragmented in approximately 2005 and further deterio-
rated in 2015 when part of the delta became sediment starved
(Figures 4c and 4d).
3.4. Sedimentation Rate of the Poyang Lake Shoal
The sedimentary dynamics of the Poyang Lake shoal can be evaluated
via the core sample (the location of shoal is shown in Figure 1c). From
top to bottom, the core column was divided into 13 layers (1 cm per
layer), with median diameter, sorting coefcient, and skewness of sedi-
ment in the core ranging from 0.020.18 mm, 1.162.90, and 0.16
0.67, respectively (Figures 5a5c). Specically, the top six layers consist mainly of coarse sand, the middle
layers from 7 to 12 are characterized by ne silt, while the bottom layer is dominated by sand again
(Figures 5d5f). According to the
210
Pb
ex
activities, the core records a sedimentation history of approximately
50 years. From 1960 to 2013, the sedimentation ux was classied into two groups, with the highest ux
occurring in approximately 2003. The sedimentation ux increased stably from 0.11 g/(cm
2
·a) in 1960 to
0.35 g/(cm
2
·a) in 2003, in good agreement with the net sediment storage as well as with the ndings of
Xiang et al. (2002). Thereafter, however, the sedimentation ux gradually declined to 0.32 g/(cm
2
·a) in
2013 (Figure 5h).
3.5. Cross-Sectional Variation of Poyang Lake
The cross-sectional proles in Poyang Lake during 19802010 suggest that the lake exhibited distinct bathy-
metric variations in different areas. In the middle of the lake, deposition between 1980 and 1998 caused the
cross-sectional elevation to increase by 1.31 m annually (Figure 6a). This high deposition was followed by
slight erosion during 19982010.The most observable erosion occurred in the channel zone located between
5.00 to 13.00 km from the west bank. The channel along the waterway that connects the lake basin and lake
outlet experienced relatively slight deposition during 19801998, when the mean cross-sectional elevation
increased by 0.52 m (Figure 6b). Thereafter, however, dramatic down cutting caused the bed elevation to
decrease by 6.1 m yearly from 1998 to 2010. A point that is 3.40 km away from the west bank shows up to
12.64 m of erosion.
4. Discussion
Lake basins are sensitive to terrestrial recharge, lake discharge, and their own sedimentary environment
(Downing et al., 2006; Yang & Lu, 2014). The Poyang Lake basin exhibited long-term deposition during
19601999, but in the past decade, it has experienced continuous erosion. Here the factors that could poten-
tially inuence such a phase shift are analyzed further.
4.1. Factors Impacting the Sediment Budget in Poyang Lake
Since the 1970s, sediment input to Poyang Lake showed a dramatic decrease that can be explained by exten-
sive dam construction in the lake catchment. By 2001, approximately 9,600 reservoirs had been constructed
within the Poyang Lake catchment, with a total storage capacity of 2.79 × 10
10
m
3
(Liu et al., 2009). A great
majority of the large dams were built in the 1960s for ood control, hydroelectric power, and irrigation
Figure 3. Components of the Ganjiang Delta.
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(Table 2), which trapped a large amount of sediment in their reservoirs and reduced the sediment input to
Poyang Lake (Q. Zhang, Sun et al., 2011). For instance, following the construction of the Wanan Reservoir
upstream, with a storage capacity of 2.22 × 10
9
m
3
, the sediment load delivered by Ganjiang River to
Poyang Lake decreased by around 85 × 10
6
t/a during 20002005 compared with the non-Wanan case
during 19801989 (Q. Zhang, Li et al., 2011).
Figure 4. Shoreline evolution of the Ganjiang Delta: (a) 28 November 1983, (b) 23 November 1996, (c) 31 October 2005,
(d) 19 October 2015, and (e) temporal shoreline series during 19832015. The dotted boxes indicate areas with
obvious fragmentation.
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Figure 5. Vertical distributions of (a) median diameter, (b) sorting coefcient, (c) skewness coefcient, (d) clay content,
(e) silt content, (f) sand content, (g) excessive
210
Pb activity, and (h) yearly sedimentation ux.
Figure 6. Cross-section evolution of Poyang Lake (source: Wu et al., 2015); the location of the cross section is shown in
Figure 1c.
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Meanwhile, serious riverbed incision along the Changjiang River (Dai & Liu, 2013; Wang, Sheng, et al., 2013;
Lai, Jiang, et al., 2014) combined with the relatively stable lakebed elevation at Poyang Lake outlet increased
the lake-river elevation difference from 5.06 m in 2007 to 6.09 m in 2011 (Figures 7a and 7b). Thus, the
hydraulic gradient between Poyang Lake and the Changjiang River (the ratio of elevation difference to
distance) increased by over 20% (Mei et al., 2015). Because of the enlarged hydraulic gradient between
Poyang Lake and the Changjiang River, the mean ow velocity at Hukou increased by over 30%, which forced
the lake to discharge more sediment to the Changjiang River. Moreover, the enlarged river-lake hydraulic
gradient signicantly weakened the so-called blocking effect that constrains the drainage of the lake to the
Changjiang River in ood season and as a consequence, further increased the sediment discharge ability
(Q. Zhang, Li et al., 2012). Specically, Poyang Lake discharged 255 × 10
4
t more sediment yearly into the
Changjiang River during the ood season in the 2000s (Figure 2e). Decreased sediment input from upstream
tributaries, combined with increased sediment discharge into the Changjiang River, shifted the lakes
depositional system from sediment sink to sediment source (Figures 2d2f).
In addition, large scale sand mining was carried out along the waterway of Poyang Lake during 20012008
at a rate of 236 × 10
6
m
3
/a (de Leeuw et al., 2010), approximately 625 × 10
4
t per year. Such a sediment loss
is approximately 50% of the contemporary sediment output at Hukou, which further increased the sediment
budget imbalance of the lake. Furthermore, sand mining can generate transient high suspended sediment
concentrations by mobilizing sediments into the lake discharge, which is likely to increase the lakes
sediment output to the Changjiang River even further.
4.2. Sediment Source Detection for the Poyang Lake Basin Since 2000
Prior to 2000, sediment input from the upstream tributaries was signicantly larger than the sediment out-
put through Hukou, and as a consequence, considerable amounts of sediment were deposited in Poyang
Lake (Figure 8a). Since 2000, Poyang Lakes discharge rate sharply increased, which combined with a
noticeable decrease in tributary sediment input, forced the lake to provide a great amount of that
sediment itself.
Table 2
Description of the Major Dams in the Poyang Lake Catchment
No. Reservoir River Lat. Long. Purpose Finish year Capacity (10
8
m
3
)
1 Feijiantan Ganjiang 114.12 27.92 FC,I,H 1960 1.01
2 Daduan Xiushui 114.57 28.65 FC,I,N 1990 1.15
3 Shangyoujiang Ganjiang 115.10 28.52 FC,I,H 1960 1.35
4 Ziyunshan Lakeside 115.82 27.78 FC,I,H 1960 1.2
5 Panqiao Lakeside 115.98 27.93 FC,I,H 1960 0.74
6 Jiangkou Ganjiang 114.83 27.73 FC,I,WS 1964 3.46
7 Communism Raohe 117.43 29.22 FC,I,H 1960 0.83
8 Dongjin Xiushui 114.32 28.98 FC,I,H 1995 5.61
9 Zhelin Xiushui 115.50 29.21 FC,I,H,N 1975 50.17
10 Jiepai Xinjiang 116.97 28.32 N,FC,H 1998 0.51
11 Daao Xinjiang 117.96 28.19 FC,H,I 2000 2.76
12 Qiyi Xinjiang 118.27 28.82 I,FC,H 1960 2.49
13 Junmin Lakeside 116.91 29.59 I,FC,H 1972 1.89
14 Bintian Raohe 116.90 29.21 I,FC,WS 1960 1.15
15 Hongmen Fuhe 116.43 27.28 H,FC,I 1969 5.42
16 Shangyoujiang Ganjiang 114.40 25.83 H,FC,N 1957 7.21
17 Youluomen Ganjiang 114.30 25.38 H,FC,WS 1981 0.86
18 Longtan Ganjiang 114.15 25.95 H,FC 1996 1.06
19 Tuanjie Ganjiang 116.06 26.91 H,FC,I 1971 1.02
20 Changgang Ganjiang 115.45 26.33 H,FC,I 1970 2.51
21 Wanan Ganjiang 114.68 26.55 FC,I,H 1990 11.16
22 Laoyingpan Ganjiang 115.13 26.60 FC,I,H 1983 0.77
23 Sheshang Ganjiang 114.27 27.38 FC,I,H 1973 1.43
24 Baiyunshan Ganjiang 115.32 26.80 FC,I,H 1969 0.9
25 Nanche Ganjiang 114.60 26.77 FC,I,H 1999 1.23
Note.FCisood control structure, WS is water supply, H is hydroelectric, I is irrigation, and N is navigation.
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Poyang Lakes shoal is currently in an accumulation state with a positive sedimentation rate (Figure 8b), while
the Ganjiang Delta exhibited slight overall deposition from 2005 to 2015 (Figure 8b), which exclude the shoal
and delta as potential main sediment contributors to the Changjiang River. The lake channel, then, is the only
possible dominant sediment source. Indeed, channels along the waterway experienced severe erosion in the
2000s under lake current forcing (Figure 8b). Because Poyang Lake lost most of its sediment during the dry
season (Figures 2i and 2l), we can infer that the waterways channel mainly provided additional sediment
in the dry season, when the lake shoal emerged from the water.
However, channel erosion cannot go on forever. The lowest elevation of the channel along the waterway in
2010 was 4.8 m, indicating a decrease of 9.23 m in comparison with 1998 (Figure 6b) and an erosion rate of
0.71 m/a. The elevation difference between the lowest points of the lakebed (CS2; Figure 6b) and the riverbed
(Jiujiang; Figure 7a) was 10.18 m in 2010. Assuming that the waterway channels in the lake will continue to
erode at the current rate, their deepest area will be at the same elevation as the Changjiang riverbed in
approximately 13 years. In that case, the lake channel would likely cease offering sediment to the
Changjiang River. Thereafter, new sediment sources will be needed to support the high sediment output. As
Figure 8c indicates, the northern Ganjiang Delta, the lake shoal, and the channel in the southern lake would
be the potential contributors of sediment to the Changjiang River in the future.
Figure 7. Cross-section evolution of (a) Jiujiang in the Changjiang River and (b) Hukou at the Poyang Lake outlet; the loca-
tion of the cross section is shown in Figure 1c.
Figure 8. Dynamic sedimentation of Poyang Lake: (a) past, (b) present, and (c) future.
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4.3. The Potential Relationship Between the Three Gorges Dam and Poyang Lakes Sedimentation
As indicated above, Poyang Lake underwent the maximum sediment loss in 2003 (Figure 2d), when the
operation of the Three Gorges Dam (TGD) began along the Changjiang River. However, there is still a need
for further research on the relationship between the TGD impacts and Poyang Lakes sedimentation. Yang
et al. (2007) attributed the riverbed erosion along the entire reach from the TGD to the estuarine delta front,
a distance of approximately 1,600 km, to the TGD-induced sediment load decrease. Dai et al. (2014) indicated
that the TGD construction generated channel down-cutting throughout the river course, approximately
1,000 km below the dam site. Recently, Lai et al. (2017) suggested that the effect of the TGD on riverbed
incision would probably stop at Chenglingji, approximately 400 km from the dam site. In view of the great
diversity in the reports of river channel erosion extent below the TGD, whether the TGD-induced uvial
sediment load reduction is responsible for the riverbed erosion around Hukou remains an open question,
and the TGDs relationship to Poyang Lakes sedimentation still needs further monitoring and analysis.
5. Conclusions
Poyang Lake, as the largest freshwater lake in China, is of vital ecological and economic signicance. In this
study, decadal sedimentation of Poyang Lake was thoroughly assessed. The main conclusions obtained are
as follows:
1. Once storing 421 × 10
4
t of sediment annually (19601999), Poyang Lake itself currently (20002012)
provides 596 × 10
4
t sediment yearly to the Changjiang River. Furthermore, the lake exhibited a distinct
seasonal sedimentation pattern of no deposition during the ood season and more erosion during the
dry season during the 2000s.
2. The Ganjiang Delta entered a period of slower expansion during 20052015, with its shoreline
progradation rate decreased from the 52.6 m/a during 19962005 to the current 1.7 m/a. The sedimenta-
tion ux in the shallow-water shoal area indicated a stable declining trend from 0.35 g/(cm
2
·a) in 2003 to
0.32 g/(cm
2
·a) in 2013.
3. The current erosion of Poyang Lake was caused by the coupled effects of decreasing tributary sediment
input from the lake catchment and increasing sediment output from the lake to the Changjiang River. If
the current high sediment loss rate of 596 × 10
4
t/a continues, the lake delta and lake shoal would expect
to serve as new sediment sources in approximately 13 years. This would likely cause severe erosion and
could gradually destroy the entire lacustrine depositional system.
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MEI ET AL. 12
Acknowledgments
This study was supported by the
National Natural Science Foundation of
China (NSFC) (41706093), the Open
Fund of the Laboratory for Marine
Geology and Environment, Qingdao
National Laboratory for Marine Science
and Technology (MGQNLM201706), and
the National Natural Science
Foundation of China (NSFC) (41576087).
We are very grateful to Yusuke
Yokoyama and the two anonymous
reviewers for their constructive
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... To date, more than 50,000 dams have been built in the river basin, and among them the largest hydropower project in the world, i.e., the Three Gorges Dam (TGD) is located at the end of the mountain reach of the mainstream, which began to operate in 2003 32,33 . The dams have regulated the water flow and altered the transport of sediment and nutrients 14,22,34 , and the river-lake relationships are changing 69,70 . The dam-induced environment and ecosystem disturbances will potentially affect the water security and life quality of the people relying on the river. ...
... Hybrid model. The reaches downstream of a dam are divided into two categories, i.e., near-and fardam reaches, according to the geographical feature and sediment transport dynamics 22,69,70 . The neardam reach is defined as the YC-CLJ reach, while the far-dam reach is CLJ-DT reach, as shown in Figure 1. ...
... The hybrid model seeks to establish how the transfer of sediment is modulated by local, yet significant, exchange with the major fluvial units, i.e., major reservoirs, tributaries and lakes. This is an important aspect for the fluvial system 69,70 , not least because these sediment exchanges exert a fundamental control on the habits and morphodynamics of river and lake segments, and the scale of these fluvial units is so large that the impacts of such changes can be significant societally. The results and conclusions derived from the modelling framework in this study can provide insights into damming impacts for other fluvial systems, and offer guidelines for sustainable river management and policy making from a systematic and long-term point of view. ...
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As a key component of global change, dam‐induced sediment reduction occurs in large rivers worldwide, which has profound implications on the fluvial systems. However, the systematic change of suspended sediment concentration (SSC) and its dynamic processes are not well known. We summarize typical SSC changes and propose a new sediment modeling framework for heavily dammed fluvial systems with the Changjiang (Yangtze River) as a background. We find that the fluvial SSC has declined by an order of magnitude, i.e., from ∼1.0 to ∼0.1 kg/m³, and even to ∼0.01 kg/m³ locally. The SSC distribution pattern along the mainstream has changed remarkably, with the sediment source/sink being partially reversed. Downstream of the Three Gorges Dam, the SSC recovery capacity gradually decreases with the sediment erosion quantity accumulated over time, and the SSC contribution rate of a linked large lake (Dongting) will change from negative (ca. −39%) to positive (ca. 17%), in the coming decades.
... De Leeuw et al. (2010) estimated that the PL supplies 9% of the total Chinese demand of sand. Mei et al. (2018) argued that the PL losing 782×10 4 t/a sediment during 2000  2012 and the PL outlet channel underwent slight erosion since 2003 (Mei et al., 2015). At the same location, Wu et al. (2015Wu et al. ( ) compared 1980Wu et al. ( , 1988Wu et al. ( , and 2010 bathymetric data of the PL. ...
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Poyang Lake in the Changjiang (Yangtze) River catchment has undergone frequent spring drought since 2003, and some researchers attributed this phenomenon to sand mining and the lakebed deformation in the outlet channel linking the lake with Changjiang River main channel. However, there is still a lack of high-resolution subaqueous geomorphological evidence of how sand mining led to lakebed deformation in the outlet channel. We examined the bed morphology and sub-bottom sedimentary structure of the outlet channel, using a multibeam echo sounder and sub-bottom profiler in Poyang Lake. We found that: (1) the subaqueous micro-topography types of the outlet channel are characterized by sand mining disturbance, natural erosional topography, and flat bed and dunes, accounting for 44.9%, 21.4%, 28.6%, and 5.1% of the channel area, respectively; and (2) sand mining activity affects the local bed topography extensively and significantly. The depth of sandpits caused by sand mining varied from 1.4 m to 12 m deeper than the surrounding bed surface, with 4.41 m of depth increase on average. Hence, the large-scale high-intensity sand mining activities and their significant geomorphic effects demand for an improved assessment for future management and longer-term sustainability. Because of the large-scale and ongoing high-intensity sand mining activities in the Poyang Lake outlet channel, these effects should raise caution in the future and contribute to monitoring efforts that are essential to implement sustainable management solutions. The present study and techniques implemented can serve as a scientific reference for dam construction and sand mining within the Poyang Lake basin.
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Deltas are crucial for land building and ecological services due to their ability to store mineral sediment, carbon and potential pollutants. A decline in suspended sediment discharge in large rivers caused by the construction of mega‐dams might imperil deltaic flats and wetlands. However, there has not been clear evidence of a sedimentary shift in the downstream tidal flats that feed coastal wetlands and the intertidal zone with sediments. Here, integrated intertidal/subaqueous sediment samples, multi‐year bathymetries, fluvial and deltaic hydrological and sediment transport data in the Nanhui tidal flats and Nanhui Shoal in the Changjiang (Yangtze) Delta, one of the largest mega‐deltas in the world, were analyzed to discern how sedimentary environments changed in response to the operations of the Three Gorges Dam. Results reveal that the coarser sediment fractions of surficial sediments in the subaqueous Nanhui Shoal increased between 2004 to 2021, and the overall grain size coarsened from 18.5 to 27.3 μm. Moreover, intertidal sediments in cores coarsened by 25% after the 1990s. During that period, the northern part of the Nanhui Shoal suffered large‐scale erosion, while the southern part accreted in recent decades. Reduced suspended sediment discharge of the Changjiang River combined with local resuspension of fine‐grained sediments are responsible for tidal flats erosion. that the spatial pattern of grain‐size parameters has shifted from crossing the bathymetric isobaths to being parallel to them. Higher tide level and tidal range induced by sea‐level rise, an upstream increase in bed shear stress and larger waves likely further exacerbated erosion and sediment coarsening in deltaic flats. As a result, this sediment‐starved estuary coupled with sea‐level rise and artificial reclamations have enhanced the vulnerability of tidal flats in Changjiang Delta, this research is informative to the sedimentary shift of worldwide mega‐deltas.
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Purpose Lying in the flood basin of the Yangtze River, Lake Poyang (PY) and Lake Dongting (DT) have suffered from strong hydrological alternations due to the operation of The Three Gorges Dam. Yet, it is still unclear whether the changes in the hydrological regime significantly affect the accumulation and composition of phosphorus (P), especially organic P (OP), and how this influence threatens its water quality. Methods Sediment P pools were determined (inorganic P, OP, NaOH-EDTA P, and total P), and P species were characterized by ³¹P NMR spectroscopy. Results and discussion Compared with other lakes, the Yangtze River–connected Lakes (RC) sediments have low OP content but accounted for a higher proportion of total P (TP) (22.3–53.7%, with an average proportion of 36.8 ± 9.0%). Urban rivers into the lake and incoming water from the Yangtze River contributed to the accumulation of sediment OP, and the short hydraulic residence time constrained the retention of sediment OP. Monoester P (mono-P) and diester P (di-P) were the main components of sediment OP. The contents of mono-P and di-P in sediments of RC were lower (23.5 ± 16.2 mg kg⁻¹, 4.8 ± 3.0 mg kg⁻¹) than expected. Both lakes show opposite distribution trends of labile OP components with sediment elevation. The frequent dry–wet alternation of sediments due to water fluctuation in the RC enhanced the degradation of mono-P and di-P. Conclusion The impact of sediment OP on the overlying waters of RC was limited. However, repeated exposure to sediments caused by water level fluctuations promotes the degradation of OP components and aggravates the risk of P release to the overlying water.
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The large confluence between the Yangtze River and the outflow channel of Poyang Lake is receiving attention due to its importance in flood control and ecological protection in the Yangtze River basin. There is a large floodplain along the outflow channel of Poyang Lake, which is submerged during high flow and dry during low flow. The effects of the submergence of this floodplain on sediment and morphological characteristics at this large confluence have not been known. Hence, a field investigation was done in March 2019 (relatively high flow, Survey 3) to complement the previous field studies done in August (high flow, Survey 1) and December 2018 (low flow, Survey 2) to identify the temporal variations of sediment and morphological characteristics considering the submergence of this large floodplain. The predominant sediment transport modes were wash load for Poyang Lake and confluence particles and mixed bedload/suspended load for the Yangtze River particles. The sediment transport processes were largely affected by both the secondary flows and the water density contrast between the tributaries with a lock-exchange sediment rich, denser flow moving across the inclined mixing interface in Surveys 1 and 2. The sediment flux across the mixing interface was weakened in Survey 3 when the density contrast was very small. The stagnation zone near the confluence apex had a low sediment concentration and played a role in preventing the sediment flux exchange between the two flows, and its size, and, thus, its importance as a barrier to sediment mixing were related to the submergence of the floodplain. The bed morphology with the local scour holes at the confluence was largely affected by the large-size helical cells, and this kind of effect was weakened as the secondary flows got restricted in Survey 3. The current results expand the database and knowledge on the sediment transport and morphological features of large river confluences.
Chapter
Global rivers contribute over 20 billion granular sediment to the ocean annually, with a majority rivers playing a dominant role in transferring both particulate and dissolved materials. As the transition zone between the land and the coastal ocean, river system is a critical interface for human resources and serves as key repositories of geological information, which therefore is of vital importance to fully understand the sediment-routing systems over the earth surface. While systematic and comprehensive research have been given to the sediment-routing system of a certain large and mountainous rivers worldwide, previous works on the Changjiang River, the longest river in Eurasia, mainly focused on the provenance study of the Holocene sediments, stepping decline of fluvial suspended sediment discharge (SSD), and suspended sediment concentration, the influence of upstream reservoirs on downstream geomorphology and sedimentation, and the effects of upstream hydrological processes on sediment transmission from the source to coastal and continental shelf region. To date, however, a holistic understanding on the fluvial sediment dispersal system of the Changjiang River from source to sink has not been well documented, especially in reference to the impacts of intensive human activities. In this chapter, transfer of fluvial sediment from source to sink along the Changjiang River-Estuary, channel accretion/ erosion in response to sediment budget and self-adaption of tidal reach are quantified. We show that the Changjiang River source-to-sink system exhibits significant change since 2003 impacted by human interference and natural forcing. Specifically, the upper reach and main lakes along the middle reach have shifted from being the sediment sinks to sources, and channel bed scouring and floodplain erosion have become the major source of sediment entering the estuary. The major lakes provide more sediment to the Changjiang River, which relieves the river channel down cutting to a large extent. The riverbed downstream of the Three Gorges Dam, respectively, exhibit strong and medium erosion with the reach adjacent to lake indicating weak erosion. Tidal reach experiences accretion-erosion-accretion subsequently, with its sediment source-to-sink transport being dominated by the river–tide interaction.
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Impacts from anthropogenic activities have substantially modified the geomorphology of most of the world’s large rivers. While many studies have focused on the fluvially-dominated and estuarine/delta segments of these rivers, their tidal reaches that links the river to the estuarine delta is much less extensively documented. Yet, morphological variations in these key transition zones, however, directly affect the transfer of water and sediment to the sea, and have a significant influence on the delta environment. Here, we analyze the morphological variation of the Datong-Xuliujing Reach (DXR), the tidal reach of the Changjiang River, following the closure and operation of the Three Gorges Dam, using a unique dataset combining surveys in 1992, 2002, 2008 and 2013. The results demonstrate that the DXR exhibits three different morphological development phases. When sediment supply is high (at 3.18 × 10⁸ t/y), the DXR experienced deposition (1992–2002) with the maximum accretion zone located in the middle portions of the reach. Thereafter (2002–2008) the channel underwent a major period of erosion coincident with a substantial decline of fluvial sediment supply (to 1.72 × 10⁸ t/y). More recently (i.e., during 2008–2013), the entire reach experienced deposition, but with the maximum accretion zone shifting around 100 km landward (compared to its position in 1992–2002), while the riverine sediment supply was further reduced to 1.30 × 10⁸ t/y. Our analytical modelling further reveals that a damped high fluvial discharge, induced by Three Gorges Dam regulation, and a relatively strong water level fluctuation induced by tidal forcing in the wet season, are responsible for the upstream shift in the maximum accretion zone. In addition, local variations caused by sand mining and dredging generate spatial nonuniformity in the observed patterns of erosion and deposition along the DXR. Such knowledge is of vital importance for the sustainable management of large alluvial rivers and their tidal reaches as they respond to natural and anthropogenic effects.
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River flooding-the world's most significant natural hazard-is likely to increase under anthropogenic climate change. Most large rivers have been regulated by damming, but the extent to which these impoundments can mitigate extreme flooding remains uncertain. Here the catastrophic 2016 flood on the Changjiang River is first analyzed to assess the effects of both the Changjiang's reservoir cascade and the Three Gorges Dam (TGD), the world's largest hydraulic engineering project on downstream flood discharge and water levels. We show that the Changjiang's reservoir cascade impounded over 30.0 × 10³ m³/s of flow at the peak of the flood on 25 July 2016, preventing the occurrence of what would otherwise have been the second largest flood ever recorded in the reach downstream of the TGD. Half of this flood water storage was retained by the TGD alone, meaning that impoundment by the TGD reduced peak water levels at the Datong hydrometric station (on 25 July) by 1.47 m, compared to pre-TGD conditions. However, downstream morphological changes, in particular, extensive erosion of the natural floodplain, offset this reduction in water level by 0.22 m, so that the full beneficial impact of floodwater retention by the TGD was not fully realized. Our results highlight how morphological adjustments downstream of large dams may inhibit their full potential to mitigate extreme flood risk.
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Despite comprising a small portion of the earth's surface, lakes are vitally important for global ecosystem cycling. However, lake systems worldwide are extremely fragile, and many are shrinking due to changing climate and anthropogenic activities. Here, we show that Poyang Lake, the largest freshwater lake in China, has experienced a dramatic and prolonged recession, which began in late September of 2003. We further demonstrate that abnormally low levels appear during October, 28 days ahead of the normal initiation of the dry season, which greatly imperiled the lake's wetland areas and function as an ecosystem for wintering waterbirds. An increase in the river-lake water level gradient induced by the Three Gorges Dam (TGD) altered the lake balance by inducing greater discharge into the Changjiang River, which is probably responsible for the current lake shrinkage. Occasional episodes of arid climate, as well as local sand mining, will aggravate the lake recession crisis. Although impacts of TGD on the Poyang Lake recession can be overruled by episodic extreme droughts, we argue that the average contributions of precipitation variation, human activities in the Poyang Lake catchment and TGD regulation to the Poyang Lake recession can be quantified as 39.1%, 4.6% and 56.3%, respectively.
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