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The lack of observation technologies and the information records in developing countries restrict the applicability of advanced approaches for identification of flood zones and setting-up flood risk mitigation plans. Greater challenge is encountered in urban and areas where the natural hydrological conditions are altered. The current paper proposes...
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Context 1
... the verification process was accomplished, the risk hotspots were enumerated and coded. A GIS map was developed classifying the hotspots into four classes as shown in Table 1. This classification is based on the risk potential and the urgency of the intervention. ...Context 2
... micro-flood identification process appears in a set of outcomes which are essential for the any subsequent risk mitigation activities. A map of identified hotspots was produced according to the color code shown in Table 1. Each point was associated with an attributes table that involve all the collected information on the history of the hotspot, flood risk, cause of the flood, and the characteristics to the flow to that area. ...Context 3
... this approach is governed by efficient collaboration of the stakeholders and the community. It was noticed that the hotspots which were collated in the classes presented in Table 1 share a common conditions of land topography, urbanization, infrastructure, etc. These conditions might exhibit some patterns that facilitate the realization of the risk potential. ...Citations
... Two endorheic catchment areas were identified where stormwater infiltrates into the natural soil or is drained by wastewater drainage systems. The delineation of these catchment areas was prepared by AAH [20], by employing an integrated participatory approach that is described by Dawoud and Mansour [27]. The delineation of the catchment areas was initially by spatial analysis. ...
... A spatial analysis model was developed according to the flow-chart shown in Figure 4. The analysis was limited to the delineated catchment areas which are drained to the three stormwater basins [27]. ...
... Spatial model used for the 9RUSLE analysis and calibration of the model. * Produced by an explicit study[27]. ...
Poorly developed regions in the Gaza Strip, Palestine, face significant risks to public safety, the environment, and stormwater infrastructure due to soil erosion and deposition. This study is the first of its kind to investigate soil erosion in this area. A revised universal soil loss equation (RUSLE) model was utilized and validated using field measurements of accumulated sediments at three major stormwater detention basins from 2014 to 2020. High-resolution maps were created to capture the urbanization effect and to further improve the future prediction of urbanization. The findings revealed that the highest potential for sediment generation in the Gaza governorate occurred over the slopes of the eastern ridge, which drain toward the city center. Sediment generation ranged from 1784 to 4281 ton/ha for the years of 2018 and 2020, respectively. The average sediment delivery ratio (SDR) was calculated to be 0.00134. The estimations for sediment export ranged from 0 to 135.3 ton/ha for the year 2020, with an average of 0.0737 ton/ha. The urban areas exhibited the least sediment export rate; however, the model revealed abnormal behavior for a dataset of the field measurements which was ascribed to the impact of destruction/reconstruction activities in the corresponded watersheds that followed the war in 2014. This conducted research stands as a pioneering effort in quantifying and cartographically representing sediment erosion potential within the Gaza Strip. Thus, it serves as an indispensable point of reference for future researchers in terms of the employed parameterization and calibration methodology. Furthermore, it holds distinct significance as an unparalleled resource for experts and stakeholders who are invested in comprehending the ramifications of erosion on urban landscapes and drainage systems.
