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首页> 外文期刊>Water and Environment Journal >Watershed erosion risk assessment and management utilizing revised universal soil loss equation-geographic information systems in the Mediterranean environments
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Watershed erosion risk assessment and management utilizing revised universal soil loss equation-geographic information systems in the Mediterranean environments

机译:利用经修订的通用土壤流失方程式-地中海环境中的地理信息系统对流域侵蚀风险进行评估和管理

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摘要

The generation of an easily adaptable method for erosion risk assessment is important for management and conservation of the available resources in developing countries. The study aims to assess the risk of soil erosion by using an integrated, easy to apply, time- and money-conserving revised universal soil loss equation-geographic information systems (RUSLE-GIS)-based model in the Eastern part of the Mediterranean. Although the model showed a good efficiency in predicting the annual soil loss (R~2=0.68), the limited runoff-erosion data warrant the need for long-term data to test and calibrate the model. The model showed that 24% of the watershed area has an annual soil loss exceeding the soil loss tolerance (SIT) of the area (5Mg/ha). When all the RUSLE factors were kept constant, except the C factor, the model showed the highest soil loss potential under olive groves {20-30 Mg/ha), and the lowest under wheat and barley (5Mg/ha). The application of proper conservation practices to these areas is thus important, i.e. reducing the number of tillage and/or time of tillage practices.
机译:产生易于适应的侵蚀风险评估方法对于发展中国家管理和保护可用资源非常重要。该研究旨在通过在地中海东部地区使用基于综合,易于应用,节省时间和金钱的经修订的通用土壤流失方程地理信息系统(RUSLE-GIS)模型来评估土壤侵蚀的风险。尽管该模型在预测每年的土壤流失方面显示出了很好的效率(R〜2 = 0.68),但是有限的径流侵蚀数据保证了需要长期的数据来测试和校准该模型。该模型显示,流域面积的24%年土壤流失量超过该地区的土壤流失耐受力(SIT)(5Mg / ha)。当除C因子以外的所有RUSLE因子保持恒定时,该模型显示出在橄榄树下最高的土壤流失潜力(20-30 Mg / ha),在小麦和大麦下最低(5Mg / ha)。因此,对这些地区采取适当的养护措施非常重要,即减少耕作次数和/或耕作时间。

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