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Integrated hydrological modeling of anthropogenic and climatic perturbations in the upper Jemma subbasin of the Upper Blue Nile Basin,Ethiopia
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作者 Solomon D.Alemu Abebe T.Ayalew +1 位作者 Yohannes M.Andiye Mekuanent M.Finsa 《River》 2025年第3期375-399,共25页
Anthropogenically induced land use/land cover(LULC)transformations and accelerating climatic variabilities have emerged as pivotal forces reshaping the hydrological equilibrium of fluvial systems,particularly in ecolo... Anthropogenically induced land use/land cover(LULC)transformations and accelerating climatic variabilities have emerged as pivotal forces reshaping the hydrological equilibrium of fluvial systems,particularly in ecologically sensitive basins.This study systematically interrogates the compounded ramifications of LULC dynamics and projected climate change on the hydrological response of the Upper Jemma Watershed an integral sub-catchment of the Upper Blue Nile River system.Employing the advanced QSWAT+hydrological modeling framework within a GIS interface,the analysis integrates bias‐corrected climatic projections under RCP 4.5 and RCP 8.5 scenarios alongside multi-temporal remote sensing‐derived land cover datasets.The findings unveil an unequivocal intensification of surface runoff and streamflow due to expansive agricultural encroachment,juxtaposed with a discernible decline in evapotranspiration and soil water retention.Climatic perturbations,notably temperature elevation and precipitation attenuation,further exacerbate these trends,with pronounced seasonality in hydrological fluxes.Importantly,synergistic interactions between land cover transformation and climatic anomalies manifest in nonlinear hydrological alterations,amplifying peak flows and diminishing baseflows.This underscores the riverine system's heightened vulnerability and the necessity for integrated watershed management strategies that account for multifactorial hydrological stressors.The study provides a robust empirical and modeling basis to inform adaptive water governance within transboundary river basins susceptible to environmental transitions. 展开更多
关键词 climate change scenarios hydrological modeling integrated watershed management land use/cover dynamics qswat+simulation riverine system vulnerability surface runoff intensification
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Unsupervised learning approach in defining the similarity of catchments:Hydrological response unit based k-means clustering,a demonstration on Western Black Sea Region of Turkey
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作者 Ersin Aytaç 《International Soil and Water Conservation Research》 SCIE CSCD 2020年第3期321-331,共11页
This study investigated the similarity of the catchments with the k-means clustering method by using the hydrological response unit(HRU)images of 33 catchments located in the Western Black Sea Region of Turkey.HRUs ar... This study investigated the similarity of the catchments with the k-means clustering method by using the hydrological response unit(HRU)images of 33 catchments located in the Western Black Sea Region of Turkey.HRUs are the unit cells in hydrological models and these units are important because the same HRUs have the same hydrological behavior regarding weather inputs and water runoff.Catchments that reside inside a cluster will have high hydrological similarity,the catchments of two separate clusters would be dissimilar to each other.With the help of the clustered catchments,an elimination process can be conducted that can save time and effort in basin selection for future hydrological studies.In the study,the basic process sequence was carried out in 5 steps.These steps were creating HRUs,assigning a color to HRUs,creating HRU images,image embedding,and k-means clustering respectively.Silhouette and multidimensional scaling plots were sketched to visually examine the quality of intra-cluster distribu-tions.Considering the silhouette score values,the optimum number of clusters was determined as 8,and the clustered catchments were illustrated on the study area. 展开更多
关键词 HRU K-means clustering Multidimensional scaling ORANGE Silhouette score qswat+
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