文章摘要
李 进, 龚绪龙, 刘 彦, 张 岩, 苟富刚, 刘 源.浅层地下水水化学特征与土体盐分相关性研究Journal of Water Resources and Water Engineering[J].,2021,32(1):89-96
浅层地下水水化学特征与土体盐分相关性研究
Correlation between shallow groundwater hydrochemical characteristics and soil salinity
  
DOI:10.11705/j.issn.1672-643X.2021.01.13
中文关键词: 浅层地下水  水化学特征  土体盐分  回归分析  相关性  南通地区
英文关键词: shallow groundwater  hydrochemical characteristics  soil salinity  regression analysis  correlation  Nantong Area
基金项目:连云港城市地质调查项目(苏国土资函[2018]374号); 中国地质调查局项目(1212011220005); 江苏省地勘基金项目(苏国土资函[2014]842)
Author NameAffiliation
LI Jin1,2, GONG Xulong1,2, LIU Yan1,2, ZHANG Yan1,2, GOU Fugang1,2, LIU Yuan1,2 (1.江苏省地质调查研究院 江苏 南京 210018 2.自然资源部地裂缝地质灾害重点试验室 江苏 南京 210049) 
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中文摘要:
      为研究南通地区浅层地下水与土体盐分特征的相关性,采集了31件水样、220件土样,并收集了60组水质资料,分析了浅层地下水水化学特征和土体盐分特征。研究表明:浅层地下水自西向东,TDS逐渐增大,主要为咸水和盐水,水化学类型为Cl—Na型,TDS与各离子(K+、Na+、Ca2+、Mg2+、Cl-、SO42-)的相关性高;土体盐分特征和地下水基本相似,自西向东逐渐增大,随着深度的加深也逐渐增大,盐渍土类型为氯盐渍土,以弱盐渍土为主,表明土体中的盐分主要来自于地下水;地下水的TDS和土体的总盐量、K+、Na+、Mg2+、Cl-、SO42-的相关性都很高,为此建立多个关于TDS与土体盐分特征的线性预测模型,平均相关系数达0.839,平均预测准确率达到了88.93%,效果良好,从而可在不钻探成井的条件下,依靠采取的土样判断地下水的TDS,节省了钻探成井的费用。
英文摘要:
      In order to study the correlation between the shallow groundwater and soil salinity in Nantong area, 31 water samples, 220 soil samples and 60 groups of water quality data were collected to analyse the characteristics of the shallow groundwater and soil salts. The results show that the total dissolved solids (TDS) in the shallow groundwater increases gradually from west to east which is highly correlated with the ions in the water (K+, Na+, Ca2+, Mg2+, Cl-, SO42-), and the groundwater is mainly constituted of Cl- Na type salty water and saline water. The salt content of the soil is basically similar to that of the groundwater, which increases gradually from west to east and also increases gradually with the depth of the soil. The saline soil type is chloride saline soil, dominated by weak saline soil, indicating that the salts in the soil mainly come from the groundwater. The TDS of the groundwater is highly correlated with the total soil salts and the ions (K+, Na+, Ca2+, Mg2+, Cl-, SO42-). Based on these findings, several linear prediction models of TDS and soil salinity were established. With these models, thepredicted average correlation coefficient can reach up to 0.839, and the average prediction accuracy reaches 88.93%, demonstrating the excellent performance of the models. This presents a new approach to finding out the TDS content in the groundwater from soil samples, which saves the cost of drilling wells.
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