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Soil erosion prediction in the Grande River Basin, Brazil using distributed modeling.

机译:使用分布式模型预测巴西格兰德河流域的土壤侵蚀。

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Mapping and assessment of erosion risk is an important tool for planning of natural resources management, allowing researchers to modify land-use properly and implement management strategies more sustainable in the long-term. The Grande River Basin (GRB), located in Minas Gerais State, is one of the Planning Units for Management of Water Resources (UPGRH) and is divided into seven smaller units of UPGRH. GD1 is one of them that is essential for the future development of Minas Gerais State due to its high water yield capacity and potential for electric energy production. The objective of this study is to apply the Universal Soil Loss Equation (USLE) with GIS PCRaster in order to estimate potential soil loss from the Grande River Basin upstream from the Itutinga/Camargos Hydroelectric Plant Reservoir (GD1), allowing identification of the susceptible areas to water erosion and estimate of the sediment delivery ratio for the adoption of land management so that further soil loss can be minimized. For the USLE model, the following factors were used: rainfall-runoff erosivity (R), erodibility (K), topographic (LS), cover-management (C) and support practice (P). The Fournier Index was applied to estimate R for the basin using six pluviometric stations. Maps of the K, C, LS and P factors were derived from the digital elevation model (DEM), and soil and land-use maps, taking into account information available in the literature. In order to validate the simulation process, Sediment Delivery Ratio (SDR) was estimated, which is based on transported sediment (TS) to basin outlet and mean soil loss in the basin (MSL). The SDR calculation included data (total solids in the water and respective discharge) between 1996 and 2003 which were measured at a gauging station located on the Grande River and a daily flow data set was obtained from the Brazilian National Water Agency (ANA). It was possible to validate the erosion process based on the USLE and SDR application for the basin conditions, since absolute errors of estimate were low. The major area of the basin (about 53%) had an average annual soil loss of less than 5 t ha-1 yr-1. With the results obtained we were able to conclude that 49% of the overall basin presently has soil loss greater than the tolerable rate, thus indicating that there are zones where the erosion process is critical, meaning that both management and land-use have not been used appropriately in these areas of the basin. The methodology applied showed acceptable precision and allowed identification of the most susceptible areas to water erosion, constituting an important predictive tool for soil and environmental management in this region, which is highly relevant for prediction of varying development scenarios for Minas Gerais State due to its hydroelectric energy potential. This approach can be applied to other areas for simple, reliable identification of critical areas of soil erosion in watersheds.
机译:侵蚀风险的测绘和评估是规划自然资源管理的重要工具,可让研究人员适当地修改土地使用并实施长期可持续发展的管理策略。位于米纳斯吉拉斯州的格兰德河流域(GRB)是水资源管理规划单位(UPGRH)之一,分为七个较小的UPGRH单位。 GD1是其中之一,因为它的高产水量和发电潜力,对米纳斯吉拉斯州的未来发展至关重要。这项研究的目的是将通用土壤流失方程(USLE)与GIS PCRaster结合使用,以便估算伊廷塔加/卡马戈斯水电站水库(GD1)上游格兰德河流域的潜在土壤流失,从而确定易感区域进行水土流失评估和估算泥沙输送比,以便采用土地管理,以使进一步的土壤流失最小化。对于USLE模型,使用了以下因素:降雨径流侵蚀力( R ),侵蚀性( K ),地形(LS),覆盖率管理( C )和支持实践( P )。使用傅里叶指数使用六个测雨站估算该盆地的 R 。 K , C ,LS和 P 因子的图来自数字高程模型(DEM)以及土壤和土地利用图,并考虑文献中提供的信息。为了验证模拟过程,估算了泥沙输送比(SDR),该比是基于输送到盆地出口的沉积物(TS)和盆地中平均土壤流失(MSL)得出的。特别提款权的计算包括1996年至2003年之间的数据(水中的总固体和各自的排放量),这些数据是在格兰德河上的计量站进行测量的,并且每日流量数据集是从巴西国家水务局(ANA)获得的。由于估计的绝对误差很低,因此有可能基于USLE和SDR应用对流域条件进行侵蚀过程验证。流域的主要地区(约53%)的年土壤流失量小于5 t ha -1 yr -1 。根据获得的结果,我们可以得出结论,目前整个流域中有49%的土壤流失大于可容忍的流失率,因此表明某些地区的侵蚀过程至关重要,这意味着管理和土地利用均未受到重视。在盆地的这些区域适当使用。所采用的方法学显示出可接受的精度,并允许确定最易受水蚀的区域,从而构成了该地区土壤和环境管理的重要预测工具,由于其水力发电对米纳斯吉拉斯州不同的发展方案的预测非常相关能源潜力。该方法可以应用于其他区域,以简单,可靠地识别流域中水土流失的关键区域。

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