耦合改进输出系数法-SWAT模型的丹江口水库流域非点源污染模拟

doi:10.11988/ckyyb.20220184

院报 ›› 2023, Vol. 40 ›› Issue (7): 50-58.DOI: 10.11988/ckyyb.20220184

耦合改进输出系数法-SWAT模型的丹江口水库流域非点源污染模拟

翟文亮^1,2, 唐见^1,2, 汪成刚³, 李晓萌^1,2, 赵科锋^1,2

1. 流域水环境研究所,武汉 430010;
2. 流域水资源与生态环境科学湖北省重点实验室,武汉 430010;
3.襄阳市水文水资源勘测局,湖北襄阳 441003

收稿日期:2022-03-04 修回日期:2022-04-18 出版日期:2023-07-01 发布日期:2023-07-12
作者简介:翟文亮(1990-),男,河南封丘人,工程师,硕士,研究方向为水文模拟、非点源污染模拟、地表水环境模拟。E-mail:857658774@qq.com
基金资助:
国家自然科学基金区域创新发展联合基金重点支持项目(U21A20156)

Simulation of Non-point Source Pollution in Danjiangkou Reservoir Basin Based on Coupled Improved Output Coefficient Method and SWAT Model

ZHAI Wen-liang^1,2, TANG Jian^1,2, WANG Cheng-gang³, LI Xiao-meng^1,2, ZHAO Ke-feng^1,2

1. Basin Water Environmental Research Department, Changjiang River Scientific Research Institute, Wuhan 430010,China;
2. Key Lab of Basin Water Resource and Eco-environmental Science in Hubei Province, Changjiang River Scientific Research Institute, Wuhan 430010, China;
3. Xiangyang Hydrological and Water Resources Survey Bureau, Xiangyang 441003, China

Received:2022-03-04 Revised:2022-04-18 Online:2023-07-01 Published:2023-07-12

摘要/Abstract

摘要： 为更精准评估南水北调中线工程通水后丹江口水库流域非点源污染特征,改善SWAT模型非点源模拟精度,耦合“产生-流失-入河”三阶段改进输出系数法-SWAT模型,对流域多类型的非点源污染入河过程进行综合模拟研究。结果表明:①应用改进输出系数法从产生、流失到入河,分3个阶段分别估算了畜禽养殖、农村生活和水产养殖污染的TP、TN等污染物指标的负荷量。②耦合SWAT水文模型,全面模拟分析丹江口水库流域2019年非点源污染负荷时空分布特征。将畜禽养殖、农村生活、水产养殖污染以县区为单元进行概化,以点源的形式加入SWAT模型;以汉江上游、丹江、老鹳河流域为参证流域,对模型水文参数率定验证,模拟结果可以满足模型精度要求。丹江口水库流域2019年TN、TP流失量分别为27.56万、1.86万t,TN、TP入河量分别为3.31万、0.24万t,其中种植业的贡献率最大,分别为72.45%、64.97%;从空间上看,汉滨区、旬阳县、郧阳区、洋县、西乡县等5县区的TN、TP入河量较大,商州区、凤县、张湾区、太白县、略阳县、留坝县等6县区的TN入河量较小;从时间上看,5月份贡献率最大,10月份贡献率最小。研究结果可为丹江口水库流域非点源污染综合管控提供一定的科学依据。

关键词: 农业非点源污染, 改进输出系数法, SWAT, 产生-流失-入河, 丹江口水库流域

Abstract: This study aimed to evaluate more accurately the characteristics of non-point source pollution in the Danjiangkou Reservoir basin following the water supply of the middle route of the South-to-North Water Transfer Project. The aim was also to improve the accuracy of SWAT model in simulating non-point source pollution. To accomplish this, we coupled the improved output coefficient method and SWAT model to conduct a comprehensive simulation on the process of multi-type non-point source pollution entering the river. First, the improved output coefficient method estimated the load of TP, TN, and other pollutant indicators related to livestock and poultry, rural life, and aquaculture pollution in three stages from generation, loss, to entering the river. Second, the SWAT hydrological model comprehensively simulated and analyzed the temporal and spatial distribution characteristics of non-point source pollution in the Danjiangkou Reservoir basin in 2019. The pollution from livestock and poultry breeding, rural life, and aquaculture industries was generalized at the county level and added to the SWAT Model in the form of point sources. The model's hydrological parameters were calibrated and verified for accuracy with Hanjiang River, Danjiang River and Laoguan River basins as reference basins. Results reveal that, in the Danjiangkou Reservoir basin in 2019, the loss of TN and TP was 275 600 tons and 18 600 tons, respectively. The inflow of TN and TP into the river was 33 100 tons and 2 400 tons, respectively. The planting industry was the primary contributor to both TN and TP inflow, accounting for 72.45% and 64.97%, respectively. The amount of TN and TP entering the river was greatest in Hanbin District, Xunyang County, Yunyang District, Yangxian County, and Xixiang County, while the smallest was recorded in Shangzhou District, Fengxian County, Zhangwan District, Taibai County, Lueyang County, and Liuba County. The contribution rate was the highest in May and the lowest in October. The research findings provide scientific basis for the comprehensive management and control of non-point source pollution in the Danjiangkou Reservoir basin.

Key words: agricultural non-point source pollution, improved output coefficient method, SWAT, generation-loss-inflow, Danjiangkou Reservoir basin

中图分类号:

TV121

翟文亮, 唐见, 汪成刚, 李晓萌, 赵科锋. 耦合改进输出系数法-SWAT模型的丹江口水库流域非点源污染模拟[J]. 院报, 2023, 40(7): 50-58.

ZHAI Wen-liang, TANG Jian, WANG Cheng-gang, LI Xiao-meng, ZHAO Ke-feng. Simulation of Non-point Source Pollution in Danjiangkou Reservoir Basin Based on Coupled Improved Output Coefficient Method and SWAT Model[J]. Journal of Yangtze River Scientific Research Institute, 2023, 40(7): 50-58.

[1]	郑婷婷, 蔡宏, 刘家威. 土地利用及气候变化对桐梓河流域水文要素空间分布的影响[J]. 院报, 2023, 40(5): 44-50.
[2]	王立, 翟文亮, 张爵宏, 曹慧群, 唐见. 基于RBF-SWAT的气候变化下汉江上游流域径流预测及特征分析[J]. 院报, 2023, 40(4): 31-36.
[3]	宋慧玲, 陈述, 敖源鸿. 汉江流域蓝绿水资源变化特征及其主要影响因素分析[J]. 院报, 2023, 40(4): 24-30.
[4]	辛京达, 李亚强, 陈成, 杨栋淏, 余倩, 王建雄. SWAT模型参数修正及应用——以德泽水库径流区为例[J]. 院报, 2023, 40(3): 30-36.
[5]	孙志伟, 梁越, 钮新强. 基于数字滤波法的长江上游流域基流时空分布特征[J]. 院报, 2023, 40(11): 23-28.
[6]	李凯, 王永强, 许继军, 吴志俊, 许翔. 基于SWAT模型的巴勒更河流域降雨-径流关系[J]. 院报, 2022, 39(4): 41-48.
[7]	汤佳, 胡希军, 韦宝婧, 罗紫薇, 赵思文, 王烨梓. 基于FLUS模型的流域土地利用变化预测及水文响应评估[J]. 院报, 2022, 39(4): 63-69.
[8]	高艺桔, 周月英, 刘祖发, 符洪恩, 黄婕茵, 冯莹莹. 基于SWAT的北江流域蓝绿水评估及其干旱响应[J]. 院报, 2021, 38(6): 18-26.
[9]	霍军军, 伊明启, 王静, 江玉吉. 拉萨河流域径流对土地利用和气候变化的响应分析[J]. 院报, 2021, 38(10): 33-39.
[10]	田扬, 肖桂荣. 基于CMADS驱动下SWAT模型的敖江流域径流模拟[J]. 院报, 2020, 37(11): 27-32.
[11]	张涛,刘羽婷,杨欣玥. 土地利用变化下的水文响应及其可检测性分析[J]. 院报, 2018, 35(8): 27-33.
[12]	张佳, 霍艾迪, 张骏. 基于SWAT模型的长江源区巴塘河流域径流模拟[J]. 院报, 2016, 33(5): 18-22.
[13]	朱烨,方秀琴,王凯,朱求安. 基于SWAT模型的延河流域月径流量模拟分析[J]. 院报, 2016, 33(10): 41-45.
[14]	崔肖林,陆建忠,陈晓玲,陶灿. 不同气候条件的抚河流域SWAT径流模拟与验证[J]. 院报, 2015, 32(9): 14-20.
[15]	彭彬,杨昆,李建,张韶华,宋毅. 基于SWAT和GIS的洱海流域土地利用变化对径流影响的研究[J]. 院报, 2015, 32(4): 7-11.

耦合改进输出系数法-SWAT模型的丹江口水库流域非点源污染模拟

Simulation of Non-point Source Pollution in Danjiangkou Reservoir Basin Based on Coupled Improved Output Coefficient Method and SWAT Model

PDF

可视化

摘要/Abstract

引用本文

使用本文

相关文章 15

编辑推荐

Metrics

本文评价