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Analysis on Water Quality Characteristics of Typical Black and Stinking River in Chengdu City by SWMM

Received: 26 November 2018    Accepted: 18 December 2018    Published: 07 January 2019
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Abstract

In this paper, based on Storm Water Management Model (SWMM) mechanism, referring to the model parameters of domestic and foreign related research achievements, combined with field monitoring data, a non-point source pollution load calculation model is constructed, and the corresponding parameters are calibrated. The pollution load and pollution change process of chemical oxygen demand (CODCr), ammonia nitrogen (NH3-N) and total phosphorus (TP) under different rainfall conditions were analyzed in the investigation area. The model calculated values are in good agreement with the actual measure results. Under different rainfall conditions, the maximum value of pollutants appeared in early and middle rainfall stage, while gradually decreased in latter, with the increase of rainfall, pollution of receiving water becomes greater, and the pollutant concentration shows a downward trend during rainfall process. Measured value of CODCr is higher than the simulated one, both decreased gradually with the rainfall, measured NH3-N concentration in mid-term rainfall increased slightly due to the uninterrupted direct emission of domestic sewage in this area, measured TP concentration in early stage of rainfall declined not obvious, but with the rainfall enhancement, various phosphorus compounds by erosion gradually dissolved finally into the river, partially offset by a dilution effect, as the subsequent rainfall carried over, total phosphorus pollutants continued to decline. While as impervious surface area goes on, both runoff and total pollutants increase.

DOI 10.11648/j.hyd.20180604.11
Published in Hydrology (Volume 6, Issue 4, December 2018)
Page(s) 100-106
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

SWMM, Black and Stinking River, Non-Point Source Pollution, Pollution Load, Rainfall Runoff

References
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[2] Yanmei Sun, Shiwei Wang, Junfeng Niu, Microbial community evolution of black and stinking rivers during in situ remediation through micro-nano bubble and submerged resin floating bed technology [J], Bioresource Technology, 2018, 258: 187-194.
[3] Guofang Wang, Xianning Li, Yang Fang, et al, Analysis on the formation condition of the algae-induced odorous black water agglomerate, Saudi Journal of Biological Sciences, 2014, 21 (6): 597-604.
[4] Susana Neto, Water governance in an urban age [J], Utilities Policy, 2016, 43 (Part A): 32-41.
[5] Paul Kirshen, Semra Aytur, Jory Hecht, et al, Integrated urban water management applied to adaptation to climate change [J], Urban Climate, 2018, 24: 247-263.
[6] Feifei Dong, Yong Liu, Zhen Wu, et al, Identification of watershed priority management areas under water quality constraints: A simulation-optimization approach with ideal load reduction [J], Journal of Hydrology, 2018, 562: 577-588.
[7] Yandong Wang, Jun Yang, Jiping Liang, et al, Analysis of the environmental behavior of farmers for non-point source pollution control and management in a water source protection area in China [J], Science of The Total Environment, 2018, 633: 1126-1135.
[8] Yukun Ma, Shaonan Hao, Hongtao Zhao, et al, Pollutant transport analysis and source apportionment of the entire non-point source pollution process in separate sewer systems [J], Chemosphere,2018, 211: 557-565.
[9] Kun Zhang, Ting Fong May Chui, et al, Simulating the hydrological performance of low impact development in shallow groundwater via a modified SWMM [J], Journal of Hydrology, 2018, 566: 313-331.
[10] G. Burger, R. Sitzenfrei, M. Kleidorfer, et al, Parallel flow routing in SWMM 5 [J], Environmental Modelling & Software, 2014, 53: 27-34.
[11] S. Y. Park, K. W. Lee, I. H. Park, S. R. Ha, Effect of the aggregation level of surface runoff fields and sewer network for a SWMM simulation [J], Desalination, 2008, 226 (1-3): 328-337.
[12] Jorge Gironás, Larry A. Roesner, Lewis A. Rossman, Jennifer Davis, A new applications manual for the Storm Water Management Model (SWMM) [J], Environmental Modelling & Software, 2010, 25 (6): 813-814.
[13] Sara Simona Cipolla, Marco Maglionico, Irena Stojkov, A long-term hydrological modelling of an extensive green roof by means of SWMM [J], Ecological Engineering, 2016, 95: 876-887.
[14] T. Arriero Shinma, L. F. Ribeiro Reis, Incorporating Multi-event and Multi-site Data in the Calibration of SWMM [J], Procedia Engineering, 2014, 70: 75-84.
[15] Wei Xing, Peng Li, Shang-bing Cao, et al, Layout effects and optimization of runoff storage and filtration facilities based on SWMM simulation in a demonstration area [J], Water Science and Engineering, 2016, 9 (2): 115-124.
[16] Zhugang, Zhaoliuwei, Luke. Study on rainfall intensity formula of Chengdu City based on two sampling methods [J]. Low Carbon World, 2014, (11): 266-268. (in Chinese)
Author Information
  • Institute of Water Environment, Chengdu Research Academy of Environmental Protection Science, Chengdu, China; Environmental Monitoring and Analysis Laboratory, Chengdu Research Academy of Environmental Protection Science, Chengdu, China

  • Institute of Water Environment, Chengdu Research Academy of Environmental Protection Science, Chengdu, China; Institute of Environmental Models, Chengdu Research Academy of Environmental Protection Science, Chengdu, China

  • Institute of Water Environment, Chengdu Research Academy of Environmental Protection Science, Chengdu, China; Environmental Monitoring and Analysis Laboratory, Chengdu Research Academy of Environmental Protection Science, Chengdu, China

  • Institute of Water Environment, Chengdu Research Academy of Environmental Protection Science, Chengdu, China; Drinking Water Assessment and Research Group, Chengdu Research Academy of Environmental Protection Science, Chengdu, China

  • Institute of Water Environment, Chengdu Research Academy of Environmental Protection Science, Chengdu, China

  • Institute of Water Environment, Chengdu Research Academy of Environmental Protection Science, Chengdu, China

  • Chengdu Experimental Primary School, Chengdu, China

  • Institute of Water Environment, Chengdu Research Academy of Environmental Protection Science, Chengdu, China; Environmental Monitoring and Analysis Laboratory, Chengdu Research Academy of Environmental Protection Science, Chengdu, China

Cite This Article
  • APA Style

    Xintuo Chen, Jia She, Chengyue Lai, Lin Chen, Yiyao Wang, et al. (2019). Analysis on Water Quality Characteristics of Typical Black and Stinking River in Chengdu City by SWMM. Hydrology, 6(4), 100-106. https://doi.org/10.11648/j.hyd.20180604.11

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    ACS Style

    Xintuo Chen; Jia She; Chengyue Lai; Lin Chen; Yiyao Wang, et al. Analysis on Water Quality Characteristics of Typical Black and Stinking River in Chengdu City by SWMM. Hydrology. 2019, 6(4), 100-106. doi: 10.11648/j.hyd.20180604.11

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    AMA Style

    Xintuo Chen, Jia She, Chengyue Lai, Lin Chen, Yiyao Wang, et al. Analysis on Water Quality Characteristics of Typical Black and Stinking River in Chengdu City by SWMM. Hydrology. 2019;6(4):100-106. doi: 10.11648/j.hyd.20180604.11

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  • @article{10.11648/j.hyd.20180604.11,
      author = {Xintuo Chen and Jia She and Chengyue Lai and Lin Chen and Yiyao Wang and Ke Zhong and Jiayang Chen and Zhaoli Wang},
      title = {Analysis on Water Quality Characteristics of Typical Black and Stinking River in Chengdu City by SWMM},
      journal = {Hydrology},
      volume = {6},
      number = {4},
      pages = {100-106},
      doi = {10.11648/j.hyd.20180604.11},
      url = {https://doi.org/10.11648/j.hyd.20180604.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.hyd.20180604.11},
      abstract = {In this paper, based on Storm Water Management Model (SWMM) mechanism, referring to the model parameters of domestic and foreign related research achievements, combined with field monitoring data, a non-point source pollution load calculation model is constructed, and the corresponding parameters are calibrated. The pollution load and pollution change process of chemical oxygen demand (CODCr), ammonia nitrogen (NH3-N) and total phosphorus (TP) under different rainfall conditions were analyzed in the investigation area. The model calculated values are in good agreement with the actual measure results. Under different rainfall conditions, the maximum value of pollutants appeared in early and middle rainfall stage, while gradually decreased in latter, with the increase of rainfall, pollution of receiving water becomes greater, and the pollutant concentration shows a downward trend during rainfall process. Measured value of CODCr is higher than the simulated one, both decreased gradually with the rainfall, measured NH3-N concentration in mid-term rainfall increased slightly due to the uninterrupted direct emission of domestic sewage in this area, measured TP concentration in early stage of rainfall declined not obvious, but with the rainfall enhancement, various phosphorus compounds by erosion gradually dissolved finally into the river, partially offset by a dilution effect, as the subsequent rainfall carried over, total phosphorus pollutants continued to decline. While as impervious surface area goes on, both runoff and total pollutants increase.},
     year = {2019}
    }
    

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  • TY  - JOUR
    T1  - Analysis on Water Quality Characteristics of Typical Black and Stinking River in Chengdu City by SWMM
    AU  - Xintuo Chen
    AU  - Jia She
    AU  - Chengyue Lai
    AU  - Lin Chen
    AU  - Yiyao Wang
    AU  - Ke Zhong
    AU  - Jiayang Chen
    AU  - Zhaoli Wang
    Y1  - 2019/01/07
    PY  - 2019
    N1  - https://doi.org/10.11648/j.hyd.20180604.11
    DO  - 10.11648/j.hyd.20180604.11
    T2  - Hydrology
    JF  - Hydrology
    JO  - Hydrology
    SP  - 100
    EP  - 106
    PB  - Science Publishing Group
    SN  - 2330-7617
    UR  - https://doi.org/10.11648/j.hyd.20180604.11
    AB  - In this paper, based on Storm Water Management Model (SWMM) mechanism, referring to the model parameters of domestic and foreign related research achievements, combined with field monitoring data, a non-point source pollution load calculation model is constructed, and the corresponding parameters are calibrated. The pollution load and pollution change process of chemical oxygen demand (CODCr), ammonia nitrogen (NH3-N) and total phosphorus (TP) under different rainfall conditions were analyzed in the investigation area. The model calculated values are in good agreement with the actual measure results. Under different rainfall conditions, the maximum value of pollutants appeared in early and middle rainfall stage, while gradually decreased in latter, with the increase of rainfall, pollution of receiving water becomes greater, and the pollutant concentration shows a downward trend during rainfall process. Measured value of CODCr is higher than the simulated one, both decreased gradually with the rainfall, measured NH3-N concentration in mid-term rainfall increased slightly due to the uninterrupted direct emission of domestic sewage in this area, measured TP concentration in early stage of rainfall declined not obvious, but with the rainfall enhancement, various phosphorus compounds by erosion gradually dissolved finally into the river, partially offset by a dilution effect, as the subsequent rainfall carried over, total phosphorus pollutants continued to decline. While as impervious surface area goes on, both runoff and total pollutants increase.
    VL  - 6
    IS  - 4
    ER  - 

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