首页|基于MIKE11模型的南方典型雨源型河流水质模拟

基于MIKE11模型的南方典型雨源型河流水质模拟

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雨源型河流水环境容量小、生态系统脆弱,易受到人类的活动和降雨的强烈干扰,可能导致流域水资源短缺和水体污染严重等环境问题。目前,尚缺乏涵盖雨源型河流污染物识别和水质模拟的系统性研究。文章以南方某雨源型河流(PS河)为研究对象,建立MIKE11水动力学(HD)、对流扩散模块(AD)模型,并与MIKE11水生态(ECOLab)模块模型进行耦合,对水化学参数、污染物时空变化进行分析,识别出主要污染物,明确污染物时空变化规律。结果表明,影响该雨源型河流的主要污染物为TN、TP及氨氮。其中,氨氮和TP雨季浓度高于旱季,CODCr和TN旱季浓度较高,下游段水质受降雨径流影响较大。全流域水量和水质模型的相对误差均值分别为14。5%和12。5%,纳什系数均值分别为0。73和0。78,说明模型模拟精度较好。ECOLab模块中BOD5模拟的相对误差和不确定性最高,DO模拟的相对误差和不确定性最低。研究有助于实现雨源型河流的高精度模拟。
Water Quality Simulation for Southern Typical Rain-Source Rivers Based on MIKE11 Model
Rain-source rivers have small water environment capacity,fragile ecosystems,and are susceptible to strong disturbance by human activities and rainfall,which may lead to environmental problems such as water shortage and serious water pollution in the basin.At present,there is a lack of systematic studies covering the pollutant identification and water quality simulation of rain-source rivers.In this paper,the MIKE11 hydrodynamics(HD)module and convective diffusion(AD)module were established based on a rain-source river(PS River)in southern China,and coupled with the MIKE11 water ecology(ECOLab)module.The main pollutants of the river were identified based on hydrochemical parameters and their temporal and spatial variations were analyzed to clarify the regular pattern.The results showed that the main pollutants affecting the rain-source river were TN,TP and ammonia nitrogen.The concentrations of ammonia nitrogen and TP in the rainy season were higher than those in the dry season,and the concentration of CODCr and TN in the dry season were higher.Besides,the water quality in the downstream section was greatly affected by rainfall runoff.The relative errors of the water quantity and water quality models in the whole basin were 14.5%and 12.5%,respectively,and the Nash coefficients were 0.73 and 0.78,respectively,indicating that the simulation accuracy of the model is good.The relative error and uncertainty of the BOD5 simulation were the highest,and the relative error and uncertainty of the DO simulation were the lowest.This study is helpful to realize the high-precision simulation of rain-source rivers.

rain-source riverMIKE11 modelpollutant identificationECOLabmodel simulation

赵柯、康瑞鹏、王琪、冯亮、董文艺、孙飞云

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中国市政工程西南设计研究总院有限公司,四川成都 610213

哈尔滨工业大学<深圳>土木与环境工程学院,广东 深圳 518055

雨源型河流 MIKE11模型 污染物识别 水生态模块 模型模拟

2024

净水技术
上海市净水技术学会,上海市城乡建设和交通委员会科学技术委员会办公室

净水技术

CSTPCD
影响因子:0.643
ISSN:1009-0177
年,卷(期):2024.43(12)