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GEOWEPP MODEL APPLICATION IN SIMULATING SOIL EROSION IN BAMBOO PLANTED AND CULTIVATED CATCHMENTS

机译:GeoVEPP模型在模拟竹种植和栽培集水区土壤侵蚀中的应用

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This study applied the Geospatial Interface for Water Erosion Prediction Project (GeoWEPP) to determine soil erosion and sediment yield in the two catchments with and without bamboo, respectively. The catchments are located within Taganibong Watershed in Bukidnon, Philippines. GeoWEPP simulation requires four main input files corresponding to climate, slope, land management, and soil. Climate input file was processed within the Breakpoint Climate Data Generator (BPCDG) computer program based on the 2014 climate data collected using the automatic weather station. Slope input file was generated from Digital Elevation Model (DEM) derived from Interferometric Synthetic Aperture Radar (IFSAR) data. Soil and management input files were processed from field surveys. Separate database files in text format were also created to link WEPP model with GIS tool. Plant databases for bamboo obtained from various literatures were used to adjust the parameters of plant databases within the WEPP model environment. After series of calibration, soil erosion rate was predicted at an average value of 13.52 and 56.04 th~(-1)'y~-1 for catchments with bamboo and without bamboo, respectively. The respective sediment yields of 20.90 and 104.95 th~(-1)y~(-1) for site with bamboo and without bamboo were also simulated. Results showed that catchment planted with bamboo has consistently lower erosion and sediment yield values suggesting the capability of bamboo in reducing soil erosion and sedimentation rates. Model validation using observed data for catchment with bamboo showed satisfactory performance with coefficient of determination (R~2), Root mean square errors-observations Standard deviation Ratio (RSR), Nash-Sutcliffe Efficiency (NSE) and percent bias (PBIAS) values of 0.64, 0.62, 0.61, and 44.35, respectively. For cultivated sites or area without bamboo, R~2, RSR, NSE and PBIAS values of 0.85,0.66,0.56 and 25.62, respectively, were obtained. Overall, GeoWEPP performed satisfactorily implying applicability of the model in catchments with and without bamboo planted and steeper hillslopes like Taganibong.
机译:本研究应用了水侵蚀预测项目(GeoWepp)的地理空间界面,以分别测定两种流域的土壤侵蚀和沉积物产量分别与竹子的两个流域。该集水区位于菲律宾布基尼顿的Taganibong流域。 GeoPP模拟需要与气候,坡,土地管理和土壤相对应的四个主要输入文件。基于使用自动气象站收集的2014年气候数据,在断点气候数据发生器(BPCDG)计算机程序中处理了气候输入文件。斜率输入文件是从来自干涉合成孔径雷达(IFSAR)数据的数字高度模型(DEM)生成的。土壤和管理输入文件从现场调查处理。还创建了文本格式中的单独数据库文件,以将WEPP模型与GIS工具链接。用于从各种文献获得的竹子的工厂数据库用于调整WEPP模型环境中的工厂数据库的参数。经过校准串行,平均值为13.52和56.04 th〜(-1)'y〜1的平均值分别用于竹子和无竹子的平均值。还模拟了竹子和不含竹子的沉积物20.90和104.95〜(-1)y〜(-1)的相应沉积物产量。结果表明,竹子种植的流域始终较低的侵蚀和沉积物产量值,提示竹子降低土壤侵蚀和沉降率的能力。模型验证使用竹子的集距表数据显示令人满意的性能,具有测定系数(R〜2),根均方误差 - 观察标准偏差比(RSR),NASH-SUTCLIFFE效率(NSE)和百分比偏置(PBIAS)值0.64,0.62,0.61和44.35分别。对于没有竹子的培养部位或区域,分别获得了0.85,0.66,0.56和25.62的R〜2,RSR,NSE和PBIAS值。总体而言,GeoVepp令人满意地暗示了模型在流域中的适用性,没有竹子种植和陡峭的丘陵像塔塔尼翁。

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