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GIS-Based Estimation of Soil Loss from Hilly Urban Area Incorporating Hill Cut Factor into RUSLE

机译:结合丘陵割除系数的丘陵山区土壤流失的GIS估算

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摘要

Unplanned residential development in hilly areas leads to steep cuts in natural hillslopes, which in turn, results in excessive soil loss. GIS-based Revised Universal Soil Loss Equation (RUSLE), applied in such a case, underestimates soil loss since such near vertical surfaces are not completely projected in orthorectified satellite images. This paper introduces a "hill cut factor (H-f)", which is input into the cover management factor of RUSLE model. Model is validated with observed soil loss data of a mini hilly urban watershed located in Japorigog hill of Guwahati city. GIS-based soil loss estimation has been carried out for two scenarios: with and without consideration of H-f. Results reveal that consideration of H-f in GIS-based RUSLE replicates the picture of erosion more accurately and gives a similar result with observed soil loss data. Without consideration of H-f, RUSLE underestimates annual soil loss from the studied watershed by almost 28% than the observed value. Adequate design of drainage system by using more accurate soil loss information, derived in this way, can lower the urban flood problem caused due to blockage of drains and culverts with sediments brought down from the inhabited hills in a city.
机译:丘陵地区无计划的住宅开发会导致自然山坡的陡峭砍伐,进而导致过多的土壤流失。在这种情况下应用的基于GIS的修订的通用土壤流失方程(RUSLE)低估了土壤流失,因为在垂直校正的卫星图像中这种近垂直表面没有完全投影。本文介绍了“山坡截割因子(H-f)”,将其输入到RUSLE模型的覆盖率管理因子中。利用位于瓜瓦哈提市贾波里戈格山的微型丘陵城市流域的观测到的土壤流失数据验证了该模型。在以下两种情况下进行了基于GIS的土壤流失估算:考虑和不考虑H-f。结果表明,在基于GIS的RUSLE中考虑H-f可以更准确地复制侵蚀的图像,并与观察到的土壤流失数据得出相似的结果。如果不考虑H-f,则RUSLE低估了所研究流域的年土壤损失,比观测值低了近28%。通过以这种方式得出的更准确的土壤流失信息对排水系统进行充分的设计,可以减少由于排水沟和涵洞堵塞而导致的城市洪水问题,这些排水沟和涵洞是由城市中居住的山丘带出的沉积物所造成的。

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