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天津市近岸海域水质变化趋势分析及水质目标研究

许自舟 李亚芳 程嘉熠 吉志新 张晓霞 林建国

许自舟,李亚芳,程嘉熠,等.天津市近岸海域水质变化趋势分析及水质目标研究[J].环境工程技术学报,2022,12(5):1378-1388 doi: 10.12153/j.issn.1674-991X.20210302
引用本文: 许自舟,李亚芳,程嘉熠,等.天津市近岸海域水质变化趋势分析及水质目标研究[J].环境工程技术学报,2022,12(5):1378-1388 doi: 10.12153/j.issn.1674-991X.20210302
XU Z Z,LI Y F,CHENG J Y,et al.Trends analysis and targets study of the water quality in Tianjin coastal waters[J].Journal of Environmental Engineering Technology,2022,12(5):1378-1388 doi: 10.12153/j.issn.1674-991X.20210302
Citation: XU Z Z,LI Y F,CHENG J Y,et al.Trends analysis and targets study of the water quality in Tianjin coastal waters[J].Journal of Environmental Engineering Technology,2022,12(5):1378-1388 doi: 10.12153/j.issn.1674-991X.20210302

天津市近岸海域水质变化趋势分析及水质目标研究

doi: 10.12153/j.issn.1674-991X.20210302
基金项目: 国家重点研发计划项目(2019YFC1407700, 2018YFC1407603);天津市科技兴海项目(KJXH2013-17)
详细信息
    作者简介:

    许自舟(1977—),男,博士,主要研究方向为环境规划与管理,zzxu@nmemc.org.cn

    通讯作者:

    林建国(1960—),男,教授,主要研究方向为海洋环境污染与修复,ljglin@dlmu.edu.cn

  • 中图分类号: X55

Trends analysis and targets study of the water quality in Tianjin coastal waters

  • 摘要:

    掌握海域水质变化趋势、制定科学合理的水质目标,有助于精准实施重点海域排污总量控制,制定有效的污染物管控政策。利用广义加性模型(GAM),基于2007—2018年天津市近岸海域营养盐浓度及降水量数据,建立水质变化趋势分析模型和水质目标确定方法,在评估天津市近岸海域12个监测站位无机氮和活性磷酸盐浓度变化趋势的基础上,提出天津市近岸海域水质控制目标,并分析水质目标的合理性和可达性。结果表明:2013—2018年与2007—2012年相比,天津市近岸海域无机氮浓度总体呈下降趋势,下降比例为13.19%,95%的置信区间为−30.37%~3.96%;活性磷酸盐浓度总体呈上升趋势,上升比例为7.01%,95%的置信区间为−11.43%~25.45%,尚未恢复到2007—2012年的平均水平;提出2025年天津市近岸海域无机氮、活性磷酸盐二者综合优良水质比例达到75%的控制目标;将天津市近岸海域划分成7个区域,建议据此实施海域水质分区管理,进一步加强农业面源污染防治,强化流域上下游协同治理和省际水污染联防联治,持续改善天津市近岸海域水质。

     

  • 图  1  研究区及监测站位分布

    Figure  1.  Study area and monitoring stations distribution

    图  2  水质目标确定流程

    Figure  2.  Water quality target determination process

    图  3  2007—2018年无机氮、活性磷酸盐浓度变化趋势

    注:绿色三角形表示P≤0.05(显著);黄色三角形表示0.05<P≤0.25(可能);红色三角形表示P>0.25(不确定)。

    Figure  3.  Variation of concentration of inorganic nitrogen and reactive phosphorus in 2007-2018

    图  4  2007—2018年各监测站位无机氮模型模拟浓度随时间变化趋势

    Figure  4.  Variation of simulated concentration of inorganic nitrogen with time at each monitoring station in 2007-2018

    图  5  2007—2018年各监测站位活性磷酸盐模拟浓度时间变化趋势

    Figure  5.  Variation of simulated concentration of reactive phosphorus with time at each monitoring station in 2007-2018

    图  6  2025年天津市近岸海域水质目标空间分布

    Figure  6.  Spatial distribution of water quality targets in Tianjin's coastal waters in 2025

    图  7  天津市海洋功能区划及近岸海域环境功能区划要求的水质目标

    Figure  7.  Water quality targets required by Tianjin marine functional zoning and coastal marine environmental functional division

    图  8  不同时间段无机氮、活性磷酸盐浓度变化率

    注:浓度变化率是本阶段相较上阶段浓度的变化,如2011—2015年与2006—2010年相比,无机氮、活性磷酸盐平均浓度变化百分比。

    Figure  8.  Change percentage of inorganic nitrogen and active phosphate concentration in different time periods

    图  9  天津市近岸海域水质分区管控

    Figure  9.  Zoning management map of water quality in the coastal waters of Tianjin

    表  1  天津市近岸海域水质控制区分级

    Table  1.   Classification of water quality control areas in the coastal waters of Tianjin

    控制区等级分级原则
    优先控制区 未来5年水质呈恶化趋势,且水质预测均值超出二类水质标准(“超二类”)
    重点控制区 未来5年水质呈向好趋势,但前5年水质均值为“超二类”;或未来5年水质呈恶化趋势,且水质预测均值为二类水质
    一般控制区 未来5年水质呈向好趋势,前5年水质均值为二类水质,且稳定;或未来5年水质呈向好趋势,前5年水质均值为一类水质,但其中至少1年出现“超二类”水质;或未来5年水质呈恶化趋势,但水质预测均值为一类水质
    维持现状区 前5年水质优良、稳定,且未来5年水质呈向好趋势
    下载: 导出CSV

    表  2  模型模拟及验证结果

    Table  2.   Model simulation and verification results

    监测站位无机氮活性磷酸盐
    R2 AdjDE2019—2020年误差均值/%R2 AdjDE2019—2020年误差均值/%
    B038 0.57 0.61 24.36 0.89 0.93 −6.41
    B0390.570.6149.210.970.9971.40
    B0400.780.8019.190.660.72−8.22
    B0410.800.877.160.660.80−76.17
    B0420.480.6140.200.940.97−79.03
    B0430.940.9713.970.490.59102.93
    B0440.710.8061.170.490.5838.86
    B0450.860.910.810.89
    B0780.680.73−18.300.930.97174.63
    B4100.820.8951.290.920.9867.28
    B4110.830.8969.790.920.96−39.90
    B4160.500.63127.730.820.90−10.88
    平均值0.710.7840.520.790.8621.32
    注:—表示无实测数据。
    下载: 导出CSV

    表  3  2025年天津市近岸海域监测站位水质目标及控制等级

    Table  3.   Results of water quality objectives and control classification in Tianjin's coastal waters in 2025 mg/L 

    监测站位无机氮浓度活性磷酸盐浓度
    2016—2020年
    实测均值
    2021—2025年
    预测均值
    2025年
    目标值
    控制
    区等级
    2016—2020年
    实测均值
    2021—2025年
    预测均值
    2025年
    目标值
    控制
    区等级
    B038 0.25 0.20 0.20一般 0.015 0.006 0.015一般
    B0390.340.280.28重点0.0130.0200.013重点
    B0400.300.210.21一般0.0080.0020.008现状
    B0410.300.220.22重点0.011<0.0010.011现状
    B0420.270.290.27重点0.005<0.0010.005现状
    B0430.280.210.21一般0.0080.0040.008现状
    B0440.250.220.22重点0.0100.0050.010现状
    B0450.460.680.46优先0.0070.0010.007现状
    B0780.220.130.20现状0.0090.0020.009现状
    B4100.370.330.33重点0.0050.0270.005重点
    B4110.340.380.34优先0.0050.0010.005现状
    B4160.260.400.26优先0.011<0.0010.011现状
    平均值0.300.300.270.0090.0060.009
    注:现状指维持现状区;一般指一般控制区;重点指重点控制区;优先指优先控制区。
    下载: 导出CSV

    表  4  国外典型海域综合治理水质改善效果

    Table  4.   Water quality improvement effect of typical foreign regions with comprehensive management

    典型海域综合治理年份海域水质改善程度
    日本东京湾[40] 1989—2015 无机氮浓度降低35%,活性磷酸盐浓度降低40%
    日本濑户内海[41] 1973—2007 无机氮浓度降低56%,活性磷酸盐浓度降低35%
    欧洲波罗的海[42-44] 1990—2015 无机氮浓度降低40%,活性磷酸盐浓度降低33%
    美国切萨皮克湾[9,31] 1985—2015 总氮浓度降低30%,总磷浓度降低40%
    下载: 导出CSV
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