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Assessment of potential changes in soil erosion using remote sensing and GIS: a case study of Dacaozi Watershed, China

机译:基于遥感和GIS的土壤侵蚀潜在变化评估-以中国大草子流域为例

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摘要

Soil erosion is a major global environmental problem. Therefore, a method of calculating potential soil erosion is necessary for soil and water resource management, as well as for assessing the risk of soil erosion. This study aimed to develop a simple method for calculating potential soil erosion change (PSEC) by combining the Universal Soil Loss Equation (USLE) and a Geographic Information System (GIS). The USLE model includes a rainfall erosivity factor (R), soil erodibility factor (K), cover management factor (C), slope gradient factor (S), length factor (L), and the supporting practice factor (P). Using a measured patch of soil and water conservation as the experimental unit, weather and soil data were combined to calculate R and K. Remote sensing images were used to extract vegetation cover (VC) and calculate C, while digital elevation models were used to extract and calculate S and L; land use maps were used to determine the P of each patch. The PSEC of each patch was then calculated according to the results of the above mentioned six factors. Finally, the PSEC of the entire study area was calculated on the basis of a patch area weighting method, which was validated in the Dacaozi Watershed in China, where a 1-year soil and water conservation project was implemented, beginning in November of 2013. In this study, the PSEC of the Dacaozi Watershed in May of 2017 was calculated, accounting for approximately 3years of project implementation. The results showed that the average VC increased by 21.6% after 3years of project implementation, whereas C decreased by 46.4%. The value of P did not change significantly from before to after project implementation. The average S decreased from 22.6 +/- 12.1 degrees to 21.3 +/- 10.6 degrees, and S decreased by 6.8%. In contrast, L increased by 33.3%. On the whole, the PSEC in the Dacaozi Watershed was 0.3925 and the potential soil erosion decreased by 60.75% after 3years of conservation.
机译:水土流失是一个主要的全球环境问题。因此,对于土壤和水资源管理以及评估水土流失的风险,必须使用一种计算潜在水土流失的方法。这项研究旨在通过结合通用土壤流失方程(USLE)和地理信息系统(GIS),开发一种计算潜在土壤侵蚀变化(PSEC)的简单方法。 USLE模型包括降雨侵蚀力因子(R),土壤易蚀性因子(K),覆盖管理因子(C),坡度梯度因子(S),长度因子(L)和辅助作业因子(P)。以测得的水土保持斑块为实验单位,结合天气和土壤数据计算R和K。遥感图像用于提取植被覆盖度(VC)和计算C,而数字高程模型用于提取并计算S和L;土地利用图用于确定每个斑块的P。然后根据上述六个因素的结果计算每个补丁的PSEC。最后,基于斑块面积加权法计算了整个研究区域的PSEC,该方法已在中国的大草子流域进行了验证,该流域于2013年11月开始实施为期1年的水土保持项目。在本研究中,计算了2017年5月大草子流域的PSEC,约占项目实施的3年时间。结果表明,项目实施3年后,平均VC增长了21.6%,而C下降了46.4%。从项目实施前到实施后,P的值没有显着变化。平均S从22.6 +/- 12.1度降低到21.3 +/- 10.6度,并且S降低6.8%。相比之下,L增加了33.3%。总体而言,大曹子流域的保护度为0.3925,经过3年的保护,潜在的土壤侵蚀减少了60.75%。

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