Volume 12 Issue 1
Jan.  2022
Turn off MathJax
Article Contents
Article Navigation >  Journal of Environmental Engineering Technology  > 2022  >  12(1): 46-54
YANG Q,WANG Z J,TANG H Q,et al.Ionic composition variation characteristics and regression analysis of spring water in Jinan City[J].Journal of Environmental Engineering Technology，2022，12（1）：46-54 doi: 10.12153/j.issn.1674-991X.20210165
Citation: YANG Q,WANG Z J,TANG H Q,et al.Ionic composition variation characteristics and regression analysis of spring water in Jinan City[J].Journal of Environmental Engineering Technology，2022，12（1）：46-54 doi: 10.12153/j.issn.1674-991X.20210165
shu

Ionic composition variation characteristics and regression analysis of spring water in Jinan City

doi: 10.12153/j.issn.1674-991X.20210165

  • Shandong Jinan Environmental Monitoring Center

  • Received Date: 2021-05-07
    Abstract
  • Taking SO4 2−, NO3 −, Cl− in spring water in Jinan City as the research objects, the influence factors from three aspects of precipitation, source supplement and human activities were selected, and the correlation between the influence factors and the concentrations of the three ions was studied. The path analysis was used to determine the direct and indirect effects of the influencing factors. The action size and direction of the influencing factors on the change of ion concentrations were determined by calculating the decision coefficient. The regression equation was established and used to predict the concentration of NO3 − in spring water and the total amount of wastewater that could be carried by environment. The results showed that the concentration of SO4 2−, Cl− and NO3 − in spring water showed an upward trend, and SO4 2− and Cl− increased significantly (P < 0.01) from 2008 to 2019. There was a significant positive correlation between the amount of wastewater and the concentration of SO 4 2− and Cl− (P < 0.01, P < 0.05), and the correlation coefficients were 0.811 and 0.577, respectively. There was a significant positive correlation between the concentration of H + and NO3 − in source supplement reservoir (P < 0.05), and the correlation coefficient was 0.692. Among the influencing factors, the amount of wastewater had the greatest direct effect on the concentration of SO 4 2−, Cl− and NO3 − in spring water. The amount of wastewater played an increasing role in the change of SO4 2− and Cl− concentrations. Precipitation, H+ concentration and the amount of wastewater in reservoir played an increasing role in NO3 − concentration change of spring water , and H+ in reservoir was the main decision variable. The equation predicted that NO3 − concentration of spring water would be 8.42 mg/L in 2020, meeting Class Ⅲ standard of Quality Standard for Ground Water (GB/T 14818-2017). If NO3 − concentration of spring water kept below 10 mg/L, the total amount of wastewater could be controlled within 6324 million cubic meters.

     

    • FullText(HTML)
  • loading
    • References(45)
  • [1]
    路洪海, 陈诗越, 张重阳.济南泉域排泄区地下水演变趋势分析[J]. 人民黄河,2009,31(6):80, 82.
    [2]
    于苗, 邢立亭, 吴吉春, 等.基于时间序列分形的济南岩溶大泉动态研究[J]. 地质学报,2020,94(8):2509-2519. doi: 10.3969/j.issn.0001-5717.2020.08.025

    YU M, XING L T, WU J C, et al. Study of large karst springs using the time series fractal method in Jinan[J]. Acta Geologica Sinica,2020,94(8):2509-2519. doi: 10.3969/j.issn.0001-5717.2020.08.025
    [3]
    KAUFMANN G, BRAUN J. Karst Aquifer evolution in fractured, porous rocks[J]. Water Resources Research,2000,36(6):1381-1391. doi: 10.1029/1999WR900356
    [4]
    ABUSAADA M, SAUTER M. Studying the flow dynamics of a karst aquifer system with an equivalent porous medium model[J]. Groundwater,2013,51(4):641-650.
    [5]
    BARBERÁ J A, ANDREO B. Functioning of a karst aquifer from S Spain under highly variable climate conditions, deduced from hydrochemical records[J]. Environmental Earth Sciences,2012,65(8):2337-2349. doi: 10.1007/s12665-011-1382-4
    [6]
    HARTMANN A, BARBERÁ J A, LANGE J, et al. Progress in the hydrologic simulation of time variant recharge areas of karst systems:exemplified at a karst spring in Southern Spain[J]. Advances in Water Resources,2013,54:149-160. doi: 10.1016/j.advwatres.2013.01.010
    [7]
    HARTMANN A, GOLDSCHEIDER N, WAGENER T, et al. Karst water resources in a changing world:review of hydrological modeling approaches[J]. Reviews of Geophysics,2014,52(3):218-242. doi: 10.1002/2013RG000443
    [8]
    王家乐. 济南岩溶水系统多级次循环模式分析及识别方法研究[D]. 武汉: 中国地质大学, 2016.
    [9]
    马玉亮. 济南泉域岩溶水水文地球化学及其环境意义[D]. 青岛: 青岛大学, 2017.
    [10]
    李波. 卧虎山水库对济南泉域岩溶水补给的影响[D]. 济南: 济南大学, 2011.
    [11]
    李健, 张文河, 马宇熹.济南市卧虎山水库回灌补源对泉域修复分析[J]. 山东水利,2013(11):28-29. doi: 10.3969/j.issn.1009-6159.2013.11.014
    [12]
    王东海, 李春, 高焰, 等.人类活动对济南泉域地下水水质的影响[J]. 中国环境监测,2003,19(5):18-21. doi: 10.3969/j.issn.1002-6002.2003.05.006

    WANG D H, LI C, GAO Y, et al. Effect on groundwater quality of Jinan spring region by human activity[J]. Environmental Monitoring in China,2003,19(5):18-21. doi: 10.3969/j.issn.1002-6002.2003.05.006
    [13]
    高旭波, 王万洲, 侯保俊, 等.中国北方岩溶地下水污染分析[J]. 中国岩溶,2020,39(3):287-298.

    GAO X B, WANG W Z, HOU B J, et al. Analysis of karst groundwater pollution in Northern China[J]. Carsologica Sinica,2020,39(3):287-298.
    [14]
    LANG Y C, LIU C Q, ZHAO Z Q, et al. Geochemistry of surface and ground water in Guiyang, China: water/rock interaction and pollution in a karst hydrological system[J]. Applied Geochemistry,2006,21(6):887-903. doi: 10.1016/j.apgeochem.2006.03.005
    [15]
    JIANG Y J, WU Y X, GROVES C, et al. Natural and anthropogenic factors affecting the groundwater quality in the Nandong karst underground river system in Yunnan, China[J]. Journal of Contaminant Hydrology,2009,109(1/2/3/4):49-61.
    [16]
    GRASBY S E, HUTCHEON I, MCFARLAND L. Surface-water–groundwater interaction and the influence of ion exchange reactions on river chemistry[J]. Geology,1999,27(3):223. doi: 10.1130/0091-7613(1999)027<0223:SWGIAT>2.3.CO;2
    [17]
    ROEHRDANZ P R, FERAUD M, LEE D G, et al. Spatial models of sewer pipe leakage predict the occurrence of wastewater indicators in shallow urban groundwater[J]. Environmental Science & Technology,2017,51(3):1213-1223.
    [18]
    王珺瑜, 王家乐, 靳孟贵.济南泉域岩溶水水化学特征及其成因[J]. 地球科学,2017,42(5):821-831.

    WANG J Y, WANG J L, JIN M G. Hydrochemical characteristics and formation causes of Karst water in Jinan spring catchment[J]. Earth Science,2017,42(5):821-831.
    [19]
    赵占锋, 欧璐, 秦大军, 等.济南岩溶水水化学特征及影响因素[J]. 中国农村水利水电,2012(7):31-37.

    ZHAO Z F, OU L, QIN D J, et al. Factors controlling hydrochemical characteristics of karstic water in Jinan[J]. China Rural Water and Hydropower,2012(7):31-37.
    [20]
    徐慧珍, 段秀铭, 高赞东, 等.济南泉域排泄区岩溶地下水水化学特征[J]. 水文地质工程地质,2007,34(3):15-19. doi: 10.3969/j.issn.1000-3665.2007.03.005

    XU H Z, DUAN X M, GAO Z D, et al. Hydrochemical study of karst groundwater in the Jinan spring catchment[J]. Hydrogeology & Engineering Geology,2007,34(3):15-19. doi: 10.3969/j.issn.1000-3665.2007.03.005
    [21]
    HANSHAW B B, BACK W. Major geochemical processes in the evolution of carbonate-aquifer systems[J]. Developments in Water Science,1979,12:287-312.
    [22]
    万利勤, 徐慧珍, 殷秀兰, 等.济南岩溶地下水化学成分的形成[J]. 水文地质工程地质,2008,35(3):61-64. doi: 10.3969/j.issn.1000-3665.2008.03.016

    WAN L Q, XU H Z, YIN X L, et al. Formation of hydrochemistry components of karst groundwater in Jinan[J]. Hydrogeology & Engineering Geology,2008,35(3):61-64. doi: 10.3969/j.issn.1000-3665.2008.03.016
    [23]
    王兆林, 高宗军, 徐源, 等.济南泉域岩溶水水化学特征[J]. 山东国土资源,2013,29(2):27-29. doi: 10.3969/j.issn.1672-6979.2013.02.009

    WANG Z L, GAO Z J, XU Y, et al. Hydrochemical characteristics of karst water in Jinan spring region[J]. Shandong Land and Resources,2013,29(2):27-29. doi: 10.3969/j.issn.1672-6979.2013.02.009
    [24]
    ZHOU J, XING L T, ZHANG F J, et al. Chemical characteristics research on karst water in Jinan spring area[J]. Advanced Materials Research,2015,1092/1093:593-596. doi: 10.4028/www.scientific.net/AMR.1092-1093.593
    [25]
    PLAGNES V, BAKALOWICZ M. The protection of a karst water resource from the example of the Larzac Karst Plateau (south of France): a matter of regulations or a matter of process knowledge[J]. Engineering Geology,2002,65(2/3):107-116.
    [26]
    苟睿坤, 陈佳琦, 段高辉, 等.基于GF-2的油松人工林地上生物量反演[J]. 应用生态学报,2019,30(12):4031-4040.

    GOU R K, CHEN J Q, DUAN G H, et al. Inversion of aboveground biomass of Pinus tabuliformis plantations based on GF-2 data[J]. Chinese Journal of Applied Ecology,2019,30(12):4031-4040.
    [27]
    SWETS J A. Measuring the accuracy of diagnostic systems[J]. Science,1988,240(4857):1285-1293. doi: 10.1126/science.3287615
    [28]
    钟艮平, 沈文君, 万方浩, 等.用GARP生态位模型预测刺萼龙葵在中国的潜在分布区[J]. 生态学杂志,2009,28(1):162-166.

    ZHONG G P, SHEN W J, WAN F H, et al. Potential distribution areas of Solanum rostratum in China: a prediction with GARP Niche Model[J]. Chinese Journal of Ecology,2009,28(1):162-166.
    [29]
    周超, 方秀琴, 吴小君, 等.基于三种机器学习算法的山洪灾害风险评价[J]. 地球信息科学学报,2019,21(11):1679-1688. doi: 10.12082/dqxxkx.2019.190185

    ZHOU C, FANG X Q, WU X J, et al. Risk assessment of mountain torrents based on three machine learning algorithms[J]. Journal of Geo-Information Science,2019,21(11):1679-1688. doi: 10.12082/dqxxkx.2019.190185
    [30]
    杜鹃.通径分析在Excel和SPSS中的实现[J]. 陕西气象,2012(1):15-18. doi: 10.3969/j.issn.1006-4354.2012.01.005
    [31]
    宋小园, 朱仲元, 刘艳伟, 等.通径分析在SPSS逐步线性回归中的实现[J]. 干旱区研究,2016,33(1):108-113.

    SONG X Y, ZHU Z Y, LIU Y W, et al. Application of path analysis in stepwise linear regression SPSS[J]. Arid Zone Research,2016,33(1):108-113.
    [32]
    袁志发, 周静芋, 郭满才, 等.决策系数: 通径分析中的决策指标[J]. 西北农林科技大学学报(自然科学版),2001,29(5):131-133.

    YUAN Z F, ZHOU J Y, GUO M C, et al. Decision coefficient: the decision index of path analysis[J]. Journal of Northwest Sci-Tech University of Agriculture and Forestry,2001,29(5):131-133.
    [33]
    陈赞宇.基于线性回归模型的用水需求量分析及预测: 以长春市为例[J]. 中小企业管理与科技(中旬刊),2021(5):88-89.

    CHEN Z Y. Analysis and forecast of water demand based on linear regression model: taking Changchun City as an example[J]. Management & Technology of SME,2021(5):88-89.
    [34]
    曹喜果, 张永涛, 李雅恬.基于IQGA-GRNN模型的SCR脱硝出口NOx质量浓度预测方法[J]. 华电技术,2021,43(5):9-14. doi: 10.3969/j.issn.1674-1951.2021.05.002

    CAO X G, ZHANG Y T, LI Y T. Prediction method for NOx discharged from SCR denitrification systems based on IQGA-GRNN model[J]. Huadian Technology,2021,43(5):9-14. doi: 10.3969/j.issn.1674-1951.2021.05.002
    [35]
    刘宇宏, 沈恒根.多跨厂房内跨电焊烟吹吸式通风预测模型研究[J]. 建筑热能通风空调,2020,39(8):41-44.

    LIU Y H, SHEN H G. Study on prediction model of welding smoke push-pull ventilation in inner span of multi-span workshop[J]. Building Energy & Environment,2020,39(8):41-44.
    [36]
    赵晓萌, 蔡新玲, 雷向杰, 等.基于Logistic回归的陕南秦巴山区降雨型滑坡预测方法[J]. 冰川冻土,2019,41(1):175-182.

    ZHAO X M, CAI X L, LEI X J, et al. Prediction method of rainfall-induced landslides in Qinba Mountains of south Shaanxi Province based on Logistic regression[J]. Journal of Glaciology and Geocryology,2019,41(1):175-182.
    [37]
    李大秋, 高焰, 王志国, 等.济南泉域岩溶地下水水质变化分析[J]. 中国岩溶,2002,21(3):202-205. doi: 10.3969/j.issn.1001-4810.2002.03.009

    LI D Q, GAO Y, WANG Z G, et al. Analysis on the variations of groundwater quality in Jinan spring basin[J]. Carsologica Sinica,2002,21(3):202-205. doi: 10.3969/j.issn.1001-4810.2002.03.009
    [38]
    张喜山, 姜文志.地下水中硝酸盐的污染原因及防治对策[J]. 地下水,1995,17(2):82-84.
    [39]
    朱济成.关于地下水硝酸盐污染原因的探讨[J]. 北京地质,1995(2):22-26.

    ZHU J C. Research on the nitrate contamination in groundwater[J]. Beijing Geology,1995(2):22-26.
    [40]
    国家环境保护总局. 污水综合排放标准: GB 8978—1996[S]. 北京: 中国标准出版社, 1998.
    [41]
    国家环境保护总局. 城镇污水处理厂污染物排放标准: GB 18918—2002[S]. 北京: 中国环境出版社, 2003.
    [42]
    刘文杰. 小清河流域水环境保护政策回顾性评价[D]. 济南: 山东大学, 2017.
    [43]
    山东省环境保护厅. 流域水污染物综合排放标准 第3部分: 清河流域: DB 37/ 3416.3—2018.[S/OL].[2021-04-07].http://epb.zibo.gov.cn/attach/0/d1b43602bfa74e1ab4830d10e5da4bf8.pdf 2022/01/06 10:29
    [44]
    张光辉, 刘中培, 连英立, 等.河北平原地下水质变及农药化肥施用量变化影响[J]. 南水北调与水利科技,2009,7(2):50-54. doi: 10.3969/j.issn.1672-1683.2009.02.017

    ZHANG G H, LIU Z P, LIAN Y L, et al. Variation of groundwater quality and influence of pesticide and fertilizer on Hebei plain[J]. South-to-North Water Transfers and Water Science & Technology,2009,7(2):50-54. doi: 10.3969/j.issn.1672-1683.2009.02.017
    [45]
    王志强, 廖媛, 顾栩, 等.污水灌溉对地下水水质的影响效应研究: 以栾城污灌区为例[J]. 环境科学与技术,2016,39(3):117-125.

    WANG Z Q, LIAO Y, GU X, et al. Environmental effects of the sewage irrigation on groundwater quality: a case study of Luancheng sewage irrigation area[J]. Environmental Science & Technology,2016,39(3):117-125. ⊗
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(2)  / Tables(10)

    Get Citation
    PDF
    XML

    Article Metrics

    Article Views(281) PDF Downloads(21) Cited by()
    Proportional views
    Related

    Copyright © Editorial Department of Journal of Environmental Engineering Technology

    京ICP备05031605号-2

    Supported by: Beijing Renhe Information Technology Co., Ltd.  

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return