改进的输出系数模型在缺资料地区面源综合评价

胡正; 敖天其; 李孟芮; 胡富昶; 刘凌雪

引用本文:	胡正,敖天其,李孟芮,等.改进的输出系数模型在缺资料地区面源综合评价[J].灌溉排水学报,2019,38(2):108-114.
	HU Zheng,AO Tianqi,LI Mengrui,et al.改进的输出系数模型在缺资料地区面源综合评价[J].灌溉排水学报,2019,38(2):108-114.

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改进的输出系数模型在缺资料地区面源综合评价
胡正，敖天其，李孟芮，胡富昶，刘凌雪
1.四川大学水利水电学院，成都 610065；2.四川大学水力学与山区河流开发保护国家重点实验室，成都 610065

摘要:

【目的】解决缺资料地区面源污染精确定量评估问题，以期为缺资料地区水环境治理提供理论依据。【方法】提出了一个综合考虑降雨和地形影响的改进的输出系数模型，并通过借助ArcGIS和等标污染负荷法，选取农村生活污水、农田地表径流、畜禽养殖、城镇地表径流、城镇生活污水和工业污染6大污染源和TN、TP 2大污染物对渠县境内流域农业面源污染进行了估算。【结果】研究区主要污染为面源污染；其TN、TP输出负荷分别为503.84、53.85 t/a，且空间分布基本一致；居民生活污水为主要污染来源占总污染的49.39%；涌兴镇、三汇镇为研究区重点治理乡镇。改进后的输出系数模型验证结果显示TN、TP的相对误差分别为10.87%和13.86%，模型结果验证良好。【结论】改进后的模型适用于缺资料地区面源综合评价。

关键词: 面源污染；改进的输出系数模型；污染负荷；渠县

DOI：10.13522/j.cnki.ggps.20180386

分类号:

基金项目:

Analyzing Non-point Pollution in Areas with Scarce Data Using Modified Output-coefficient Model

HU Zheng，AO Tianqi，LI Mengrui, HU Fuchang, LIU Lingxue

1.College of Water Resources & Hydropower, Sichuan University, Chengdu 610065, China;2.State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China

Abstract:

【Objective】Lack of data is a common issue facing water environmental assessment and in this paper we present a method to assess non-point pollution sources in regions with insufficient data. 【Method】An improved output coefficient model considering rainfall and topography was proposed. Using ArcGIS and the method of equivalent pollution load, we calculated the pollution of total nitrogen (TN) and total phosphorus (TP) originating from domestic sewage in rural areas, farmland surface runoff, livestock farming, urban surface runoff, urban sewage and industrial pollution in the catchment within Qiu county.【Result】①Non-point pollution is the main pollution in the studied area, with TN and TP output being 503.84 t/a and 53.85 t/a respectively without noticeable spatial variation. Pollution from residential sewage accounted for 49.39% of the total pollution load. ②Verification of the improved output coefficient model showed that its relative error in calculating TN and TP was 10.87% and 13.86% respectively.【Conclusion】The improved model is able to comprehensively evaluate surface pollution sources in areas with data scarcity.

Key words: non-point source pollution; improved output coefficient model; pollution load; Quxian