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| Study on the evaluated index and method of the soil conservation benefit for the soil and water conservation engineering |
| KANG Qing, HUANG Jun, JIN Pingwei |
| Pearl River Hydraulic Research Institute, Soil and Water Conservation Monitoring Center of Pearl River Basin, 510611, Guangzhou, China |
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Abstract [Background] The soil conservation benefit (SCB) is the base of benefit evaluation for the soil and water conservation engineering (SWCE). Currently, the mainstream approach has several disadvantages, such as large amount investment, over-reliance on field facilities and equipment, difficult to obtain the dynamic and long-term result. It is necessary to improve and consummate the current method of calculating SCB for the SWCE.[Methods] This paper summarized the merits and demerits of current evaluated indexes and methods. Based on the American universal soil loss equation (USLE), this paper proposed a new core index of soil erosion decrease ratio (SEDR) and its calculating procedure. The core index of SEDR included 6 factors:rainfall erosivity (R), soil erodibility (K), slope length (L), slope gradient (S), vegetation cover management (C) and support practice (P) factor, which are independent variables in USLE.[Results] The SEDR could be calculated in the following steps:1) obtaining the high resolution image (HIR) and the digital elevation model (DEM) data by the remote sensing satellite or the unmanned aerial vehicle, before and after the governance project carried out; 2) preprocessing the high resolution remote sensing images (atmospheric correction, radiometric correction, etc.); 3) using eCognition Developer software and the object-oriented method, the land use was classified, the measured patch vector file of soil and water conservation were generated, for calculating SEDR using patch as unit in the later stage; 4) extracting and calculating the value of R, K, S, L, C and P factors, and generating their raster maps, using ENVI and ArcGis software, based on the HIR, DEM, weather data and soil files of the studied area; 5) calculating the SEDR value for each patch based on the patch vector file and the raster maps of above 6 factors; 6) calculating the comprehensive value of SEDR for the studied area by the measured patch area-weighted method based on the SEDR of each patch; 7) calculating the dynamic and long-term SEDR value to reflect the SCB of the SWCE, using the different spatial and temporal scale input data.[Conclusions] This paper improved the previous method of calculating SCB, and proposed a new index of SEDR and its calculation procedure. The above study can supply the important technical support for the development, management and benefit evaluation for the soil and water conservation engineering.
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Received: 10 February 2017
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