首页> 外文期刊>Water >Analysis of Best Management Practices Implementation on Water Quality Using the Soil and Water Assessment Tool
【24h】

Analysis of Best Management Practices Implementation on Water Quality Using the Soil and Water Assessment Tool

机译:使用土壤和水评估工具分析水质最佳管理措施实施情况

获取原文
       

摘要

The formation of hypoxic zone in the Gulf of Mexico can be traced to agricultural watersheds in the Midwestern United States that are artificially drained in order to make the land suitable for agriculture. A number of best management practices (BMPs) have been introduced to improve the water quality in the region but their relative effectivenss of these BMPs in reducing nutrient load has not been properly quantified. In order to determine the BMPs useful for reducing nutrient discharge from a tile drained watershed, a Soil and Water Assessment Tool (SWAT) model was calibrated and validated for water flow and nitrate load using experimental data from the Little Vermillion River (LVR) watershed in east-central Illinois. Then, the performance of four common BMPs (reduced tillage, cover crop, filter strip and wetlands) were evaluated. For BMPs, the usage of rye as cover crop performed the best in reducing nitrate discharge from the watershed as a single BMP, with an average annual nitrate load reduction of 54.5%. Combining no tillage and rye cover crops had varying results over the period simulated, but the average nitrate reduction was better than using rye cover crops with conventional tillage, with the average annual nitrate discharge decreased by 60.5% (an improvement of 13% over rye only).
机译:墨西哥湾缺氧区的形成可以追溯到美国中西部的农业流域,这些流域被人工排干以使土地适合农业生产。为了改善该地区的水质,已经引入了许多最佳管理方法(BMPs),但是这些BMPs在减少营养物负荷方面的相对有效性尚未得到适当的量化。为了确定有助于减少瓷砖排水流域养分排放的BMP,使用来自小朱红河(LVR)流域的实验数据对水土评估工具(SWAT)模型进行了校准和水流和硝酸盐负荷的验证。伊利诺伊州中东部。然后,评估了四种常见BMP(减耕,覆盖作物,滤材和湿地)的性能。对于BMP,作为单一BMP,使用黑麦作为覆盖作物在减少流域中硝酸盐排放方面表现最好,平均年硝酸盐负载减少了54.5%。在模拟期间,不耕作和黑麦覆盖作物相结合的结果不尽相同,但平均硝酸盐减少量比传统耕作的黑麦覆盖作物要好,年均硝酸盐排放量减少了60.5%(仅黑麦提高了13%) )。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号