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An Integrated Quantitative Method to Simultaneously Monitor Soil Erosion and Non-Point Source Pollution in an Intensive Agricultural Area

机译:集约化农业面积同时监测土壤侵蚀和面源污染的定量综合方法

摘要

In China, some areas with intensive agricultural use are facing serious environmental problems caused by non-point source pollution (NPSP) as a consequence of soil erosion (SE). Until now, simultaneous monitoring of both NPSP and SE is difficult due to the intertwined effects of differences in crop type, topography and management in these areas. Based on meteorological data, a Geographic Information System (GIS) database and soil and water samples, we propose a new integrated method to monitor SE and NPSP simultaneously and apply to an intensive agricultural area (Nanjing area, ~6 000 km2) in eastern China. The results showed that the levels of soil total nitrogen (TN), total phosphorus (TP), ammonium nitrogen (AN) and available phosphorus (AP) can be used to assess and predict the extent of NPSP and SE status in the study area. Most SE and the greatest NPSP loads occurred between April to August. The most seriously affected area in terms of SE and NPSP was the Jiangning District, implying that the effective management of SE and NPSP in this area should be considered a priority. The sub-regions with higher vegetation coverage contributed to less SE and NPSP, affirming the conclusions of previous studies, namely that vegetation is an effective factor in controlling SE and NPSP. This study shows that the application of our quantitative method has both high precision and reliability for the simultaneous monitoring of SE and NPSP occurring in intensive agricultural areas.
机译:在中国,一些农业集约利用地区正面临着严重的环境问题,这是由于土壤侵蚀(SE)引起的面源污染(NPSP)所致。到目前为止,由于这些地区作物类型,地形和管理差异的相互影响,很难同时监测NPSP和SE。基于气象数据,地理信息系统(GIS)数据库以及土壤和水样,我们提出了一种同时监测SE和NPSP的新综合方法,并将其应用于中国东部的集约农业区(南京地区,约6000 km2) 。结果表明,土壤总氮(TN),总磷(TP),铵态氮(AN)和有效磷(AP)的水平可用于评估和预测研究区域内NPSP和SE的程度。大多数SE和最大的NPSP负载发生在4月至8月之间。就SE和NPSP而言,受影响最严重的地区是江宁区,这意味着该地区对SE和NPSP的有效管理应被视为优先事项。植被覆盖率较高的次区域贡献了较少的SE和NPSP,这肯定了先前研究的结论,即植被是控制SE和NPSP的有效因素。这项研究表明,我们的定量方法在同时监测集约化农业地区发生的SE和NPSP方面具有很高的准确性和可靠性。

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