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基于水环境数学模型的竹桥河流域综合整治成效模拟分析

许文卿 梁康 黄志华 黄振雄 杨佘维 高源濛

许文卿, 梁康, 黄志华, 黄振雄, 杨佘维, 高源濛. 基于水环境数学模型的竹桥河流域综合整治成效模拟分析[J]. 华南师范大学学报(自然科学版), 2019, 51(5): 49-57. doi: 10.6054/j.jscnun.2019084
引用本文: 许文卿, 梁康, 黄志华, 黄振雄, 杨佘维, 高源濛. 基于水环境数学模型的竹桥河流域综合整治成效模拟分析[J]. 华南师范大学学报(自然科学版), 2019, 51(5): 49-57. doi: 10.6054/j.jscnun.2019084
XU Wenqing, LIANG Kang, HUANG Zhihua, HUANG Zhenxiong, YANG Shewei, GAO Yuanmeng. A Simulation Analysis of Comprehensive Remediation Effect of the Zhuqiao River Based on Mathematical Modeling of Water Environment[J]. Journal of South China normal University (Natural Science Edition), 2019, 51(5): 49-57. doi: 10.6054/j.jscnun.2019084
Citation: XU Wenqing, LIANG Kang, HUANG Zhihua, HUANG Zhenxiong, YANG Shewei, GAO Yuanmeng. A Simulation Analysis of Comprehensive Remediation Effect of the Zhuqiao River Based on Mathematical Modeling of Water Environment[J]. Journal of South China normal University (Natural Science Edition), 2019, 51(5): 49-57. doi: 10.6054/j.jscnun.2019084

基于水环境数学模型的竹桥河流域综合整治成效模拟分析

doi: 10.6054/j.jscnun.2019084
基金项目: 

广东省科技计划项目 2017B020236002

广东省科技计划项目 2016A020221019

详细信息
    通讯作者:

    许文卿,工程师,Email:13631305152@163.com

  • 中图分类号: X522

A Simulation Analysis of Comprehensive Remediation Effect of the Zhuqiao River Based on Mathematical Modeling of Water Environment

  • 摘要: 以竹桥河水质达标为目的,综合考虑整治范围内水体污染来源及水文条件等因素,采用水环境模拟技术建立竹桥河流域的水动力与水质动态二维模型,采用现场实测、监测数据等有效资料对模型参数进行率定.并利用率定后的模型对综合整治方案进行水质模拟.结果表明:根据现有整治方案,当竹桥河流域整治后截污率达到60%的情况下,干流COD、NH4+-N可在入河口稳定达到地表水Ⅲ类水质要求,但TP在河口处不能稳定达到地表水Ⅲ类水质要求.为保证水质稳定达标,还需对畜禽养殖污染进行控制,即减少生猪养殖约3 000头/年.
  • 图  1  竹桥河主要支流、汇水口及汇水区域图

    Figure  1.  The main tributaries, confluences and catchment areas of the Zhuqiao River

    图  2  竹桥河水环境监测断面点位图

    Figure  2.  The locations of monitored sections along the Zhuqiao River

    图  3  竹桥河流域的典型流速等值线

    Figure  3.  The typical velocity contour of the Zhuqiao River Basin

    图  4  水质预测值和检测值的比较

    Figure  4.  The comparison of simulated and observed values of three water quality indexes

    图  5  外源污染分析

    Figure  5.  The analysis of exogenous pollution

    图  6  竹桥河污水处理设施分布图

    Figure  6.  The distribution of pollution sources in the Zhuqiao River Basin

    图  7  截污控源完成后竹桥河污染物质量浓度分布预测

    Figure  7.  The predicted distribution of pollutant concentrations in the Zhuqiao River Basin after the sewage interception

    图  8  整治工作完成后竹桥河污染物的质量浓度分布预测

    Figure  8.  The predicted distribution of pollutant concentrations in the Zhuqiao River Basin after the comprehensive remediation practices

    表  1  边界水质取值情况

    Table  1.   The boundary conditions of water quality  mg/L

    序号 断面位置 ρ(COD) ρ(NH4+-N) ρ(TP)
    主干流上边界 竹桥河源头(背景值),桂岭镇玉白村附近(W1断面) 35.1 0.88 0.39
    主干流下边界 竹桥河入南河口处(W15断面) 27.5 1.51 0.39
    地表水Ⅲ类标准 20.0 1.00 0.20
    下载: 导出CSV

    表  2  整治后的污染物排放量

    Table  2.   The emission levels of the pollutants after the remediation practices

    区域 人口数/人 整治后的排污量/(t·a-1)
    COD NH4+-N TP
    1 7 042 23.45 3.13 0.27
    2 5 725 19.07 2.54 0.22
    3 1 922 6.40 0.85 0.07
    4 2 495 8.31 1.11 0.10
    5 6 512 21.69 2.89 0.25
    6 1 771 5.90 0.79 0.07
    7 3 080 10.26 1.37 0.12
    8 2 344 7.81 1.04 0.09
    9 1 598 5.32 0.71 0.06
    10 2 184 7.27 0.97 0.08
    11 2 292 7.63 1.02 0.09
    12 3 637 12.11 1.61 0.14
    13 3 552 11.83 1.58 0.14
    14 2 989 9.95 1.33 0.11
    15 5 797 19.31 2.57 0.22
    16 1 670 5.56 0.74 0.06
    17 8 466 28.19 3.76 0.32
    18 2 573 8.57 1.14 0.10
    19 3 580 11.92 1.59 0.14
    20 5 134 17.10 2.28 0.20
    21 6 687 22.27 2.97 0.26
    22 2 937 9.78 1.30 0.11
    23 7 087 23.60 3.15 0.27
    24 8 324 27.72 3.70 0.32
    25 4 632 15.43 2.06 0.18
    26 10 557 35.16 4.69 0.40
    27 3 991 13.29 1.77 0.15
    28 4 783 15.93 2.12 0.18
    29 12 689 42.26 5.63 0.48
    30 10 012 33.34 4.45 0.38
    31 5 536 18.44 2.46 0.21
    32 10 203 33.98 4.53 0.39
    33 10 163 33.84 4.51 0.39
    34 5 814 19.36 2.58 0.22
    35 454 1.51 0.20 0.02
    36 5 004 16.66 2.22 0.19
    37 6 000 32.78 4.39 0.67
    38 12 000 65.56 8.78 1.35
    39 15 500 84.69 11.34 1.74
    40 29 000 158.44 21.22 3.25
    下载: 导出CSV
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  • 收稿日期:  2019-03-01
  • 刊出日期:  2019-10-25

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