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Soil erosion prediction and risk assessment using RUSLE model and GIS techniques in the Nangka watershed

Saadi Yusron, Mardiana Sus, Pradjoko Eko

Journal of Water and Land Development

2022

no. 55

185--191

Soil erosion in the Nangka watershed has always been a matter of concern. Over the last decade, soil erosion has led to continuous environmental problems. A thorough examination of the extent of the problem was required to identify an appropriate soil conservation strategy within the watershed. This study was conducted to observe erosion rates and map out the erosion hazard level. Erosion predictions were analysed by using the Revised Universal Soil Loss Equation (RUSLE) model with the help of ArcGIS software. RUSLE was selected because of its quantitative ability to estimate average annual soil erosion and its compatibility with the GIS interface. The potential hazard of soil erosion was classified and ranked into five class categories as set by the national authority. The results reveal that the Nangka watershed is prone to soil erosion with the annual average values ranging from 1.33 Mg·ha-1·y-1 to 2472.29 Mg·ha-1·y-1. High soil erosion rates of 9.8% are in severe (class IV) and very severe (class V) conditions, primarily in the upper course of the watershed. The low annual average of soil erosion (class I and class II), which accounted for 75.95% of the total erosion, mostly took place in the steepness below 35%. The remaining area of 14.25% within the watershed is in moderate condition (class III). It is expected that the results of this study will help the authority in the implementation of soil conservation measures.

Analiza ekonomiczno-przestrzenna i delimitacja obszarów wiejskich rozwijających się i opóźnionych w rozwoju w Polsce

Adamczyk-Łojewska G., Bujarkiewicz A., Łojewski S.

Woda-Środowisko-Obszary Wiejskie

2006

T. 6, z. 1

9-33

Przedstawiono wyniki analizy ekonomiczno-przestrzennej i delimitacji, w ujęciu lokalnym, regionalnym i ogólnokrajowym, obszarów rozwijających się i opóźnionych w rozwoju, ze szczególnym wyróżnieniem obszarów wiejskich. Do tego celu wykorzystano dane komputerowego Banku Danych Regionalnych GUS z lat 1999-2003 oraz technikę GIS. Wyróżniono trzy kategorie obszarów wiejskich: o wysokim stopniu rozwoju, o średnim stopniu rozwoju i opóźnione w rozwoju. Scharakteryzowano zróżnicowanie przestrzenne uwzględnionych w delimitacji czynników społeczno-ekonomicznych oraz wskaźników, charakteryzujących obszary o różnym stopniu rozwoju.

Economic-spatial analysis and delimitation of developing and retarded areas in Poland , including rural areas, are presented in the paper. Regional Database of the Main Statistical Office for the years 1999-2003 and GIS techniques have been used for this purpose. Three categories of rural areas have been distinguished: highly developed, moderately developed and retarded areas. Spatial differentiation of selected socio-economic factors has been characterized and indices have been estimated to specify variable development of rural areas in the country.