济南趵突泉泉域岩溶水硝酸盐污染特征及其来源识别

张海林, 王重, 林广奇, 徐源, 马雪莹, 关琴. 济南趵突泉泉域岩溶水硝酸盐污染特征及其来源识别[J]. 中国岩溶, 2022, 41(6): 998-1006. doi: 10.11932/karst20220611
引用本文: 张海林, 王重, 林广奇, 徐源, 马雪莹, 关琴. 济南趵突泉泉域岩溶水硝酸盐污染特征及其来源识别[J]. 中国岩溶, 2022, 41(6): 998-1006. doi: 10.11932/karst20220611
ZHANG Hailin, WANG Zhong, LIN Guangqi, XU Yuan, MA Xueying, GUAN Qin. Nitrate pollution characteristics and identification of nitrate sources in Baotu Spring area of Jinan[J]. Carsologica Sinica, 2022, 41(6): 998-1006. doi: 10.11932/karst20220611
Citation: ZHANG Hailin, WANG Zhong, LIN Guangqi, XU Yuan, MA Xueying, GUAN Qin. Nitrate pollution characteristics and identification of nitrate sources in Baotu Spring area of Jinan[J]. Carsologica Sinica, 2022, 41(6): 998-1006. doi: 10.11932/karst20220611

济南趵突泉泉域岩溶水硝酸盐污染特征及其来源识别

  • 基金项目: 山东省地质勘查优选“济南岩溶地下水污染机理研究及风险评价”(2015-34)
详细信息
    作者简介: 张海林(1980-),女,正高级工程师,主要从事水文地质与环境地质勘查工作。E-mail:hl_z826@sina.com
  • 中图分类号: X523

Nitrate pollution characteristics and identification of nitrate sources in Baotu Spring area of Jinan

  • 为有效防治硝酸盐污染,保障区域饮用水安全,识别硝酸盐的污染来源,在系统分析济南趵突泉水文地质条件的基础上,进行岩溶水取样调查,采用N、O双同位素技术,识别其泉域内硝酸盐的主要污染来源,并利用IsoSource模型定量计算各污染来源的贡献率。结果表明:趵突泉泉域岩溶水中硝酸盐主要污染来源有动物粪便与污水、土壤有机氮、化肥中的NH$_4^{+}$;其中动物粪便与污水来源贡献率最大,均值达到51.07%,其次是土壤有机氮和化肥,均值分别为25.21%、23.71%。

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  • 图 1  泉域水文地质略图

    Figure 1. 

    图 2  采样点分布图

    Figure 2. 

    图 3  岩溶水硝酸盐浓度分区图(mg·L-1)

    Figure 3. 

    图 4  δ15N与${\rm{NO}}_3^{-}$的相关关系图

    Figure 4. 

    图 5  δ15N与δ18O的相关关系图

    Figure 5. 

    图 6  研究区${\rm{NO}}_3^{-}$δ15N与δ18O值特征分布图 [5,13]

    Figure 6. 

    表 1  岩溶水${\rm{NO}}_3^{-}$浓度测试结果统计(mg·L−1

    Table 1.  Test results of nitrate concentration (mg·L−1)

    最大值最小值均值标准差变异系数
    2016年枯水期215.453.4762.9350.650.80
    下载: 导出CSV

    表 2  岩溶水硝酸盐氮氧同位素水样测试结果(2016年枯水期)

    Table 2.  Test results of nitrogen and oxygen isotopes during the dry season of 2016

    采样时间编号δ15N‰δ18O‰/mg·L−1DO/mg·L−1
    2016.5JS158.383.2665.13.51
    2016.5JS1011.492.83110.152.24
    2016.5JS2610.171.6449.514.09
    2016.5JS3612.762.67105.475.02
    2016.5JS0910.970.8934.223.21
    2016.5JS0510.153.4561.023.55
    2016.6JS165.14−2.08215.453.92
    2016.5JS179.371.3583.754.35
    2016.5JS188.130.4840.173.57
    2016.5JS197.363.6037.925.02
    2016.5JS209.134.0396.453.67
    2016.5JS318.763.6342.724.36
    2016.5JS339.123.1251.703.60
    2016.5JS217.111.29168.303.42
    下载: 导出CSV

    表 3  研究区硝酸盐污染来源贡献率计算结果一览表

    Table 3.  Proportions of nitrate pollution sources in the study area

    编号污水/%土壤/%化肥/%
    东部JS15511336
    JS10682210
    JS26553213
    JS3675250
    JS0957412
    JS05631324
    西部JS1696328
    JS17493417
    JS18384121
    JS1946846
    JS2059635
    JS3155936
    JS33551530
    JS21353134
    下载: 导出CSV
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收稿日期:  2021-09-23
刊出日期:  2022-12-25

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