综合出口级系数模型用于准确的非点源污染估计和管理在黄河流域的污染
Xueting Wang1,2, Lei Wu3,4,5, Yongkun Luo1,2
1Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Scientific reports
|July 20, 2025
概括
一个新的模型通过将环境因素与优化出口系数 (EC) 结合起来,改善了非点源污染 (NPSP) 估计. 这种增强的方法,即EC集成捕获模型 (EC-ICM),为流域管理和污染控制提供了更高的准确性.
科学领域:
- 环境科学 环境科学
- 水文学的水文学
- 水质管理水质管理
背景情况:
- 出口系数模型 (ECM) 广泛用于非点源污染 (NPSP) 估计,但与复杂的流域扎.
- 准确量化大型,复杂的流域中的污染物负载需要比传统的ECM更先进的方法.
研究的目的:
- 开发和验证一个改进的模型,EC-Integrated Catchment Model (EC-ICM),用于更准确的NPSP负载评估.
- 整合环境因素和优化出口系数 (EC) 以提高流域管理的适应性.
- 确定高风险地区,并为污染控制提供有针对性的管理战略.
主要方法:
- 使用遗传算法 (GA) 和拉丁语超立方样本采样,获得经验EC值.
- 该EC-ICM结合了诸如下水流,地形,土壤侵蚀和污染物产生等因素.
- 污染因素是使用自然断裂进行分类的,风险评估采用积重量方法.
主要成果:
- 与GA优化的ECM相比,EC-ICM减少了总 (TN) 和总 (TP) 的相对误差分别为9.66%和6.68%.
- 土地利用 (耕地,草地) 是TN负载的主要来源,而畜牧业主导TP负载.
- 龙东洛斯高原被确定为NPSP的高风险地区.
结论:
- 在复杂的流域中,EC-ICM为NPSP估计提供了更准确和更具适应性的方法.
- 基于风险的区分管理策略对于确定高风险地区的有效污染控制至关重要.
- 未来的研究应该探索时间分辨率,气候变化影响和水力动力学模型集成.
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