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Zoning technology for the management of ecological and clean small-watersheds via k-means clustering and entropy-weighted TOPSIS: A case study in Beijing by Xiang Li; Xinmiao Meng; Xiaodong Ji; Jinyi Zhou; Chengxi Pan; Na Gao is a Environmental Science article available to read on EtoBox.

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In the functional zoning and comprehensive management of ecological and clean small-watersheds (ECSWs), measures to increase the carrying capacity of the environment should be taken around water resources protection and ecological risk governance. An objective zoning technology for ECSWs was recommended in this paper to tackle problems such as soil erosion and water pollution efficiently. Taking eight typical ECSWs in Changping District of Beijing as a case study, the essential data, including the land use, digital elevation, administrative division, leaf area index and annual precipitation, can be initially accessed. Subsequently, two topographic features (i.e., elevation and slope) and seven ecosystem disservices (i.e., collapse risks, debris flow risks, nitrogen pollution, phosphorus pollution, sediment export, quick flow and surface runoff) were evaluated and quantified based on Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) and Geographic Information System (GIS). The quantitative attribute matrix was herein operated as a calculation object of k-means clustering and entropy-weighted TOPSIS for the classification and delineation. According to the analysis res

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Author

Xiang Li; Xinmiao Meng; Xiaodong Ji; Jinyi Zhou; Chengxi Pan; Na Gao

Publisher

Elsevier BV

Published

2023

Language

EN

Field

Environmental Science (Physical Sciences)