Location map of Wuhan and Donghu lake area.

Location map of Wuhan and Donghu lake area.

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The process of urbanization takes up a lot of wetlands, profoundly changing the natural connection of surrounding river-lake systems, all the while causing serious damage to the environment of connected catchments. Urban systems and river-lake systems are not isolated and static, there is a relation between them which is constantly changing. Based...

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... (Figure 1), the capital of Hubei province in China, is located in the center of the country, where the Yangtze and Hanshui rivers converge. Wuhan has a water area of 2217.6 square kilometres, has wetland coverage of 26.10%, and has a water area per capita of 114,000 square metres, making it the city with the highest per capita possession of surface water in the world. ...

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... During the process of rapid urbanization, wetland resources in China have been excessively exploited and encroached upon [9], leading to a significant degradation of ecosystem services. Pressing issues, such as fragmented wetland patches, reduced freshwater storage, and diminished flood regulation capacity, have emerged [10], rendering wetlands incapable of meeting the requirements for sustainable urban development [11]. ...
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Wetlands form a crucial component of ecosystems, and wetland restoration serves as an effective strategy for promoting sustainable urban development. Spatial support is essential for wetland restoration, meaning that research on wetland spatial planning is of considerable importance. Existing studies on wetland spatial planning primarily focus on the analysis of wetland spatial distribution characteristics, with limited exploration of wetland spatial relationships. This paper aims to explore the potential of utilizing both spatial distribution characteristics and spatial relationships to identify wetland spatial issues, thereby facilitating the formulation of wetland spatial planning strategies. Using Tianjin City as a case study, this research applies nearest neighbor analysis, the geographic concentration index, the Gini index, and kernel density analysis to identify the spatial distribution characteristics of wetlands in Tianjin. Additionally, spatial autocorrelation analysis and connectivity analysis are employed to identify the interrelationships among wetlands in Tianjin. Based on the results derived from the analysis of spatial distribution characteristics and spatial relationships, wetland spatial planning strategies are proposed. The effectiveness of these strategies is validated using methods that consider both spatial distribution characteristics and spatial relationships. The findings reveal that, although wetlands in Tianjin are widely distributed, large wetland patches are primarily concentrated in areas with abundant water resources, while the six districts within the city have few or no large patches of wetlands. The spatial distribution of wetlands is highly uneven, exhibiting patterns of high–high aggregation and low–low aggregation. The number of connecting paths between wetland patches is relatively low, indicating a generally low overall connectivity. While medium-sized and larger wetland patches maintain the connectivity of existing wetlands in Tianjin, small wetlands that serve as stepping stones are lacking. Following the implementation of planning strategies, there would be an increase in the wetland area in Tianjin, accompanied by significant improvements in the spatial distribution pattern and spatial relationships of the wetlands.
... The water network connection was a useful and critical measure for water resource allocation, water ecological restoration, and water quality improvement Yu et al., 2020). It was conducive to increasing water flow, improving hydrodynamic circulation and self-purification capacity, and preventing pollutant accumulation in the lake (Cui et al., 2009;Wang et al., 2016). Through the completely water exchange between the lake and the Yangtze River, the water quality of Sha Lake had been improved (Luo et al., 2021). ...
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Urban development has positive and negative effects on the evolution of enclosed lake water quality. This study aims to quantitatively analyze the water quality evolution of a typical urban lake, the Sha Lake, in the process of urban development. The land use degree comprehensive index (I) was calculated to reveal the level of urban development; water quality index (Smid) and eutrophication index (Tmid) were used to evaluate the water quality changes by fuzzy comprehensive-quantifying assessment (FCQA) method. The urban construction process and the water quality changes in 2000–2018 in the Sha Lake Basin were divided into three stages: (1) in 2000–2006, with the slow urban development, water quality remained stable and the degree of eutrophication improved slightly; (2) in 2007–2009, I increased rapidly to reach 300, Smid and Tmid increased from 90.62 to 92.83 and 75.06 to 87.52, respectively. Water quality deteriorated because of the failure to implement environmental protection measures in time; (3) in 2010–2018, although urban development reached a high level (I > 300), the water network connection project, dredging project, exogenous pollutant control, and sewage pipe network renovation since 2009 were critical measures to improve water quality for a long time. Due to the lag effect on improving water quality, the implementation of environmental protection measures should be synchronized with or even before urban construction. The research results can provide a scientific basis for the urban lake water environment protection in the process of urban development.
... The Wuhan urban agglomeration (WUA), which was approved as a comprehensive reform pilot area in 2007, is the core region of economic development in Central China . During recent decades, the WUA has experienced rapid economic development and faced many eco-environmental problems, such as reclamation of lakes, water pollution and cropland encroachment Wang et al., 2016). To promote the delivery of the SDGs in the WUA, we aimed to develop a hybrid model by coupling a spatial allocation model and the equivalent coefficients table method, and explored the future spatio-temporal change characteristics of land use and the ESV. ...
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... The location of East Lake (Donghu) area (Source:Wang et al., 2016). and breakfasts, 12 creative art and handicraft establishments, 10 restaurants, cafes, and tea houses, 2 bookstores, 3 art schools, 1 kindergarten, and 3 retail stores. ...
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... Peran sungai bukan terbatas pada sarana transportasi, namun juga berperan sebagai ekologi sebagai keseimbangan ruang, pengikat masyarakat dalam ruang publik, visibilitas kota(wujud identitas visual) dan gigi fungsional(pemersatu ruang dan masyarakat)(Maciukenaite and Povilaitienė, 2013). Bagi Kota Wuhan, sungai memiliki dalam hal keseimbangan dan efiseensi kepadatan ruang dan orang, peningkatan ekonomi kota, tata visual dan ekologi kota(Wang, Pilgrim and Liu, 2016).Konsep berdamai dengan alam yang dikenal dengan waterfront city (Kota tepian sungai), menempatkan sungai bukan sebagai bagian belakang namun sungai sebagai fasade depan bangunan. Letak bangunan disesuaikan dengan kontur bentang lahan, struktur geologi dan geomorfologi, sehingga menikmati sungai sebagai bentuk keindahan visual dan fungsional. ...
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... The risk of wetland degradation has also increased due to urban space encroachment. Relevant studies have revealed that the study region suffers from land reclamation, environmental pollution and resource waste Wang et al., 2016). Therefore, taking the WUA as a case study, this research predicts the urban wetland dynamics under three scenarios, and explore the spatiotemporal characteristics of wetland in the future. ...
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Wetlands are one of the most productive ecosystems and play an important role in supporting a wide range of biodiversity and providing various kinds of ecosystem services. Rapid urbanization and climate change, however, have resulted in the disappearance of large amounts of wetlands. In this research, we developed a spatial allocation model by coupling random forest regression and the CLUE-S algorithm to simulate the spatial dynamics of wetlands in the Wuhan Urban Agglomeration. Then, the calibrated model was used to predict the wetland distributions from 2015 to 2040 under three scenarios, i.e. natural increase scenario (NIS), economic development scenario (EDS), and wetland protection scenario (WPS). The results showed that: (1) the natural wetlands exhibit a slight decreased trend under EDS, and a slight increased trend under WPS. But regardless of scenarios, the natural wetlands will suffer from degradation in densely built-up areas during 2015–2040; (2) The ponds will clearly expand under all scenarios, and most of their expansion distribute in Xiantao city; (3) The paddy will continue to degradation under three scenarios, and the area decreases most under EDS with value of 2866.94 km². Most of the paddy degradation are located in Wuhan, Xiantao and Ezhou city. The proposed framework offered an effective tool to explore the urban wetland dynamics in the future, and revealed wetland distribution under different scenarios, which could provide support for the protection of urban wetlands and sustainable future develop in the Wuhan Urban Agglomeration.
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... Wuhan, located in Central China, is known as the confluence of the Yangtze and Hanshui rivers and the city of over one hundred lakes. Wuhan is the most abundant freshwater storage area in China (Wang et al., 2015). However, many of the lakes were polluted, damaged, and even filled with the rapid urbanization of the past decades, cutting off ecological connections among the water bodies (Chen et al., 2015a;Yang and Ke, 2015). ...
... In 2009, the local government proposed a riverlake and urban compound system, which connects the lakes of the Donghu lake area and imports the river water to replace the lake water in order to restore the ecological environment of the Donghu lake area. The sustainability of this compound system has been improved overall in the past years (Wang et al., 2015). However, these water pollution control actions are less helpful for alleviating the inland flooding caused by the overload storm runoff (Sheng and Nawari, 2016). ...
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... However, a decrease in wetland area reduces the available habitat for native fauna and flora [6] and ecosystem functions [7]. During the past few decades, a significant area of estuarine wetlands has disappeared in some large river deltas due to rapid urbanization [8]. The remaining wetlands are suffering from population pressure, water shortage, and pollution, as well as biological invasions, and are becoming increasingly vulnerable [9][10][11]. ...
... Sustainability 2016,8, 471 ...
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Understanding wetland changes under urbanization is important for wetland management. In this study, net transition intensity (NTI) and total transition intensity (TTI) are presented to characterize wetland transitions based on spatial data obtained from Landsat satellite images of Pearl River estuary in South China. NTI is commonly used to represent changes in absolute amounts for each class of wetland, while TTI reflects the internal transition activities and amounts. The third index, the urbanization intensity index (UII), is used to investigate the intensity and velocity of urban land expansion at the same time periods. The results show that one-third of the total wetland area was lost from 1979 to 2009 in the study area and seven types of estuarine wetlands were degraded. The basic pattern of wetland transition is from natural wetlands to constructed wetlands and then to urban lands. Intertidal mud and sand and paddy fields were the major natural and constructed wetlands, respectively, transferred to urban lands. The TTI value was generally greater than the NTI value for these wetlands. TTI ≫ NTI is an important indicator for wetland transitions under rapid urban expansion in the Pearl River estuary. Based on the integration of the two indices (NTI and TTI), a protection and management plan framework for the Pearl River estuary wetlands is proposed. This plan emphasizes the key and important zones and their different features, and includes actions that can be implemented in and around natural and constructed wetlands.