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湖北省典型流域片区地表水溶解氧时空变化及驱动因素

程继雄 安堃达 彭聃 王婉玉

程继雄,安堃达,彭聃,等.湖北省典型流域片区地表水溶解氧时空变化及驱动因素[J].环境工程技术学报,2024,14(4):1260-1272 doi: 10.12153/j.issn.1674-991X.20230828
引用本文: 程继雄,安堃达,彭聃,等.湖北省典型流域片区地表水溶解氧时空变化及驱动因素[J].环境工程技术学报,2024,14(4):1260-1272 doi: 10.12153/j.issn.1674-991X.20230828
CHENG J X,AN K D,PENG D,et al.Spatio-temporal variation and driving factors of dissolved oxygen in surface water of typical watershed areas in Hubei Province[J].Journal of Environmental Engineering Technology,2024,14(4):1260-1272 doi: 10.12153/j.issn.1674-991X.20230828
Citation: CHENG J X,AN K D,PENG D,et al.Spatio-temporal variation and driving factors of dissolved oxygen in surface water of typical watershed areas in Hubei Province[J].Journal of Environmental Engineering Technology,2024,14(4):1260-1272 doi: 10.12153/j.issn.1674-991X.20230828

湖北省典型流域片区地表水溶解氧时空变化及驱动因素

doi: 10.12153/j.issn.1674-991X.20230828
基金项目: 湖北省环保科研项目(2021HB-08)
详细信息
    作者简介:

    程继雄(1985—),男,高级工程师,主要从事环境监测与评价研究,hbjc_water11@163.com

    通讯作者:

    安堃达(1986—),女,工程师,主要从事水环境评价研究,408839111@qq.com

  • 中图分类号: X824

Spatio-temporal variation and driving factors of dissolved oxygen in surface water of typical watershed areas in Hubei Province

  • 摘要:

    溶解氧(DO)是反映地表水水质状况的重要指标,是精准开展流域综合治理的关键参数之一。收集湖北省200座水质自动监测站2021—2022年地表水自动监测数据,研究DO时空变化特征并进行聚类分组,采用相关系数法、多元线性回归定量分析16个流域片区DO浓度变化的驱动因素,并提出流域治理建议。结果表明:1)时间上,湖北省地表水DO浓度存在显著季节性差异,表现为冬季>春季>秋季>夏季,其中5—10月存在显著昼夜变化。2)空间上,全省16个流域片区分为低氧区、中氧区和富氧区。低氧区为四湖片区和汉江下游片区,DO浓度和饱和度均较低,且夏季低氧发生频率高;富氧区集中在清江片区和汉江丹库以上片区,夏季易出现DO过饱和;其他流域片区为中氧区,DO饱和度稳定在较高水平。3)影响因素上,低氧区表现为复合型污染,富氧区主要受水生植物生长的影响,中氧区主要受水温影响。结合不同流域片区DO浓度变化特征,提出从“三水”统筹角度,分级分区开展流域系统化治理,即低氧区加强污染源头管控和过程控制,富氧区防控水华发生风险,中氧区严格排污总量控制。

     

  • 图  1  湖北省流域片区及水质自动监测站分布

    Figure  1.  Distribution of watershed areas and water quality automatic monitoring stations in Hubei Province

    图  2  2021—2022年湖北省地表水DO浓度和饱和度评价结果

    注:水质类别根据GB 3838—2002中DO浓度评价得到。

    Figure  2.  Evaluation results of DO concentration and saturation of surface water in Hubei Province from 2021 to 2022

    图  3  2021—2022年湖北省地表水DO浓度和饱和度季节变化

    注:a、b、c、d为季节显著性差异统计结果,相同字母为差异不显著,不同字母为差异显著,P ≤ 0.05。全文同。

    Figure  3.  Seasonal variation of DO concentration and saturation of surface water in Hubei Province from 2021 to 2022

    图  4  5—10月地表水DO浓度小时变化

    Figure  4.  Hourly trends of DO concentration of surface water from May to October

    图  5  2021—2022年湖北省16个流域片区地表水DO浓度月均值变化

    Figure  5.  Monthly average variation of DO concentration of surface water of sixteen watershed areas in Hubei Province from 2021 to 2022

    图  6  2021—2022年湖北省16个流域片区地表水DO浓度热点分布

    Figure  6.  Hot spot distribution of DO concentration of surface water of sixteen watershed areas in Hubei Province from 2021 to 2022

    图  7  2021—2022年湖北省16个流域片区地表水低DO浓度发生频率热点分布

    Figure  7.  Hot spot distribution of frequency of low DO concentration of surface water of sixteen watershed areas in Hubei Province from 2021 to 2022

    图  8  2021—2022年湖北省16个流域片区地表水DO饱和度季节变化统计

    Figure  8.  Seasonal variation of DO saturation of surface water of sixteen watershed areas in Hubei Province from 2021 to 2022

    图  9  湖北省16个流域片区地表水DO浓度聚类分组分布

    Figure  9.  Cluster grouping distribution of DO concentration of surface water of sixteen watershed areas in Hubei Province

    表  1  2021—2022年各月地表水DO浓度昼夜变化差异性检验结果

    Table  1.   Difference test of diurnal variation of DO concentration in different months from 2021 to 2022

    月份 样本量 P d
    1 200 0.012* 0.32
    2 195 0.016* 0.24
    3 199 0.005** 0.29
    4 198 0.000** 0.45
    5 197 0.000** 0.70
    6 195 0.000** 0.84
    7 196 0.000** 0.92
    8 183 0.000** 0.59
    9 175 0.000** 0.72
    10 179 0.000** 0.56
    11 191 0.727 0.04
    12 194 0.295 0.11
      注:**表示P<0.01,*表示P<0.05。全文同。
    下载: 导出CSV

    表  2  典型流域片区地表水DO浓度及饱和度与各影响因素之间的相关系数

    Table  2.   Correlation coefficient between DO concentration and saturation and various influencing factors of surface water of typical watershed areas

    影响因素四湖片区(低氧区)清江片区(富氧区)沮漳河片区(中氧区)
    DO浓度DO饱和度DO浓度DO饱和度DO浓度DO饱和度
    水温−0.68**−0.41**0.13*0.60**−0.85**−0.1
    pH0.60**0.53**0.49**0.50**0.36**0.28**
    电导率−0.07−0.24*−0.20*−0.43**0.11−0.15
    浊度−0.17**−0.25*0.060.13−0.36**−0.32**
    高锰酸盐指数−0.41**−0.60**0.40**0.46**−0.36**−0.35**
    氨氮−0.34**−0.51**−0.09−0.20*−0.18**−0.32**
    总磷−0.38**−0.70**−0.04−0.07−0.32**−0.17
    总氮−0.11*−0.41*−0.21**−0.31**−0.14*−0.11
    下载: 导出CSV

    表  3  典型流域片区地表水DO浓度多元线性回归结果

    Table  3.   Results of multiple linear regression of DO concentration of surface water of typical watershed areas

    流域分区 影响因素组合 线性回归模型 R2 DW
    四湖片区水温y=11.979–0.251T0.4661.667
    水温+pHy=–6.870–0.202T+2.366pH0.6321.683
    水温+pH+高锰酸盐指数y = –3.808 – 0.194T + 2.113pH – 0.315CMn0.6911.995
    水温+pH+高锰酸盐指数+总磷y = –1.696 – 0.199T + 1.882pH – 0.240CMn – 4.903CTP0.7092.015
    水温+pH+高锰酸盐指数+总磷+氨氮y = 0.354 – 0.217T + 1.654pH – 0.244CMn + 0.824CTP – 1.810CNH3-N0.7431.962
    清江片区pHy = –27.547 + 5.968pH0.3861.744
    pH+高锰酸盐指数y = –23.861 + 4.077pH + 0.861CMn0.4761.755
    沮漳河片区水温y = 12.711 – 0.193T0.7222.127
    水温+pHy = 8.570 – 0.185T + 0.508pH0.7332.111
    水温+pH+浊度y = 9.998 – 0.181T + 0.335pH – 0.007S0.7412.130
    水温+pH+浊度+高锰酸盐指数y = 10.092 – 0.181T + 0.326pH – 0.006S – 0.019CMn0.7412.133
    水温+pH+浊度+高锰酸盐指数+总磷y = 10.101 – 0.181T + 0.327pH – 0.005S – 0.024CMn – 1.182CTP0.7412.134
      注:T表示水温,CMn表示高锰酸盐指数,CTP表示总磷浓度,CNH3-N表示氨氮浓度,S表示浊度。
    下载: 导出CSV
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  • 收稿日期:  2023-11-18
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