Core Chinese Journal
Source Journal of CSCD(Core Version)
Source Journal for Chinese Scientific and Technical Papers
Core Journal of RCCSE
Included in JST China
Volume 40 Issue 6
Sep.  2022
Turn off MathJax
Article Contents
ZHENG Qiongqi, LIN Yiyuan, YIN Hailong, XU Zuxin, SU Lei, WU Shanshan. SOURCE TRACKING OF WASTEWATER DISCHARGE INTO RIVERS USING HYDRODYNAMIC DIFFUSION WAVE MODEL AND GENETIC ALGORITHM[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(6): 63-69. doi: 10.13205/j.hjgc.202206008
Citation: ZHENG Qiongqi, LIN Yiyuan, YIN Hailong, XU Zuxin, SU Lei, WU Shanshan. SOURCE TRACKING OF WASTEWATER DISCHARGE INTO RIVERS USING HYDRODYNAMIC DIFFUSION WAVE MODEL AND GENETIC ALGORITHM[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(6): 63-69. doi: 10.13205/j.hjgc.202206008

SOURCE TRACKING OF WASTEWATER DISCHARGE INTO RIVERS USING HYDRODYNAMIC DIFFUSION WAVE MODEL AND GENETIC ALGORITHM

doi: 10.13205/j.hjgc.202206008
  • Received Date: 2021-12-21
    Available Online: 2022-09-01
  • Publish Date: 2022-09-01
  • On-site investigation of sewage outfalls connected to watercourses is labor-intensive,and real-time tracking is hard to be performed manually.Facing with this challenge,an inverse problem method to trace source location and sewage flow based on hydrodynamic diffusion wave model and the microbial genetic algorithm was developed.The developed method was verified with a hypothetical example of sudden wastewater discharge and a real investigation case of sewage discharges into a river.The study results showed that:1) for the tracking of sudden wastewater discharge in large quantity,the inverse problem model could estimate source parameters including source location,source flow rate,starting and ending time of discharge effectively.After multiple runs of modeling,the median values of inversed source parameters were almost identical to the real ones.2) for the routine investigation of sewage outfalls,the developed method could identify the locations and discharge amounts of potential multiple sewage sources accurately,through the rational layout of hydrologic monitoring stations.3) for either the tracking of sudden wastewater discharge or the routine investigation of sewage discharges,the sewage outfall could be located to a spatial grid resolution of fewer than 200 m using the inverse modeling,on condition that the monitoring stations were set up with a spatial interval of 2000 m.Therefore,the developed inverse model could provide a technical solution for dynamic monitoring of sewage outlets connected to rivers in the future,with the support of online data.
  • loading
  • [1]
    XU Z X, XU J, YIN H L, et al. Urban river pollution control in developing countries[J]. Nature Sustainability, 2019, 2(3):158-160.
    [2]
    徐祖信,张辰,李怀正.我国城市河流黑臭问题分类与系统化治理实践[J].给水排水, 2018, 44(10):1-5

    ,39.
    [3]
    吕清,徐诗琴,顾俊强,等.基于水纹识别的水体污染溯源案例研究[J].光谱学与光谱分析, 2016, 36(8):2590-2595.
    [4]
    MICHALAK A M, KITANIDIS P K. Estimation of historical groundwater contaminant distribution using the adjoint state method applied to geostatistical inverse modeling[J]. Water Resources Research, 2004, 40(8):8302-8313.
    [5]
    KEATS A, YEE E, LIEN F S. Bayesian inference for source determination with applications to a complex urban environment[J]. Atmospheric Environment, 2007, 41(3):465-479.
    [6]
    ZHENG X P, CHEN Z Q. Back-calculation of the strength and location of hazardous materials releases using the pattern search method[J]. Journal of Hazardous Materials, 2010, 183(1/2/3):474-481.
    [7]
    ZHOU Z T, TARTAKOVSKY D M. Markov Chain Monte Carlo with neural network surrogates:application to contaminant source identification[J]. Stochastic Environmental Research and Risk Assessment, 2021, 35(3):639-651.
    [8]
    孙杰,章卫胜,荆立,等.基于进化算法和水质模型的河口污染物溯源方法[J].科学技术与工程, 2019, 19(14):384-390.
    [9]
    辛小康,韩小波,李建,等.基于遗传算法的水污染事故污染源识别模型[J].水电能源科学, 2014, 32(7):52-55

    , 136.
    [10]
    GHANE A, MAZAHERI M, SAMANI J. Location and release time identification of pollution point source in river networks based on the Backward Probability Method[J]. Journal of Environmental Management, 2016, 180(15):164-171.
    [11]
    WANG J B, ZHAO J S, LEI X H, et al. New approach for point pollution source identification in rivers based on the backward probability method[J]. Environmental Pollution, 2018, 241:759-774.
    [12]
    孙策,李传奇,白冰,等.基于贝叶斯方法的突发水污染事件溯源研究[J].中国农村水利水电, 2020(8):71-75, 81.
    [13]
    ZHU Y Y, CHEN Z, ASIF Z. Identification of point source emission in river pollution incidents based on Bayesian inference and genetic algorithm:inverse modeling, sensitivity, and uncertainty analysis[J]. Environmental Pollution, 2021, 285:117497-117505.
    [14]
    芮孝芳.扩散波和线性扩散模型解析解的应用[J].华东水利学院学报, 1985,13(3):95-103.
    [15]
    PUSHPALATHA R, PERRIN C, MOINE N L, et al. A review of efficiency criteria suitable for evaluating low-flow simulations[J]. Journal of Hydrology, 2012, 420:171-182.
    [16]
    HUANG J, YIN H, CHAPRA S C, et al. Modelling dissolved oxygen depression in an urban river in China[J]. Water, 2017, 9:520-538.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (111) PDF downloads(10) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return