利用GIS对伊拉克Wasit和Dhi Qar省浅水井选定化学性质的建模和变异性

IF 0.4 Q4 SOIL SCIENCE Soil & Environment Pub Date : 2020-05-25 DOI:10.25252/se/2020/111977
B. Al-humairi, N. Rahal, A. Jebur
{"title":"利用GIS对伊拉克Wasit和Dhi Qar省浅水井选定化学性质的建模和变异性","authors":"B. Al-humairi, N. Rahal, A. Jebur","doi":"10.25252/se/2020/111977","DOIUrl":null,"url":null,"abstract":"This study was conducted to model several chemical properties of shallow well waters and to investigate the spatial variability of these properties in different regions over two provinces in Iraq - Wasit and Dhi-Qar. Eleven wells were chosen to evaluate the quality of their water and its suitability for agricultural, civil engineering and human applications and uses. Samples were taken in January 2018 from Giazna (1, 2, 3, and 4 ), Karthiya, Badra, Dujaili, Shaikhsaad, Muwafaqiya, Hay, in Wasit province and from Fajr in Dhi-Qar province. The water samples were subjected to chemical analysis to measure the concentrations of sodium (Na 1+ ), calcium (Ca 2+ ), magnesium (Mg 2+ ), pH, electrical conductivity (Ec), and total dissolved solids (TDS). Results were undergone several descriptive statistics Minimum (Min.), Maximum (Max.), standard deviation (std), skewness (skew.), and Kurtosis, (Kurt.) and coefficient of variation (CV%). Mathematical models were generated using Data Fit (9.3) software to predict sodium adsorption ratio (SAR) and exchangeable sodium percentage (ESP) depending on chemical properties. The predicted values of SAR and ESP were validated using several validation indices including the factor of determination R 2 , root mean squared error (RMSE), absolute mean error (MAE), relative error (RE), correlation coefficient (r) and standard error (s). A GIS program was used to map the studied chemical properties. The results showed that the SAR model (SAR = a 1 × Na 1+ + a 2 × Ca 2+ + a 3 × Mg 2+ + a 4 × ESP + a 5 × X east + a 6 × Y north + a 7 ) which with (R 2 =0.999, SEE=5.30, RMSE=0.000, MAE=0.000, and RE=0.000) and the ESP model (ESP = Exp(a 1 × Na 1+ + a 2 × Ca 2+ + a 3 × Mg 2+ + a 4 × X east + a 5 × Y north + a 6 )) which with ( R 2 =0.9827, SEE=5.55, RMSE=0.037,MAE=0.026 and RE=0.003) were the best for predicting SAR and ESP values for the selected wells. The Well water quality index (WWQI) was determined and accordingly the water was classified as poor. As a result, the water of the studied wells was considered unsuitable for human consumption as drinking water and irrigation; except the well of Fajr which was found critically suitable for irrigation purposes.","PeriodicalId":21762,"journal":{"name":"Soil & Environment","volume":" ","pages":""},"PeriodicalIF":0.4000,"publicationDate":"2020-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Modelling and variability of selected chemical properties of shallow water wells using GIS in Wasit and Dhi Qar provinces/Iraq\",\"authors\":\"B. Al-humairi, N. Rahal, A. Jebur\",\"doi\":\"10.25252/se/2020/111977\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study was conducted to model several chemical properties of shallow well waters and to investigate the spatial variability of these properties in different regions over two provinces in Iraq - Wasit and Dhi-Qar. Eleven wells were chosen to evaluate the quality of their water and its suitability for agricultural, civil engineering and human applications and uses. Samples were taken in January 2018 from Giazna (1, 2, 3, and 4 ), Karthiya, Badra, Dujaili, Shaikhsaad, Muwafaqiya, Hay, in Wasit province and from Fajr in Dhi-Qar province. The water samples were subjected to chemical analysis to measure the concentrations of sodium (Na 1+ ), calcium (Ca 2+ ), magnesium (Mg 2+ ), pH, electrical conductivity (Ec), and total dissolved solids (TDS). Results were undergone several descriptive statistics Minimum (Min.), Maximum (Max.), standard deviation (std), skewness (skew.), and Kurtosis, (Kurt.) and coefficient of variation (CV%). Mathematical models were generated using Data Fit (9.3) software to predict sodium adsorption ratio (SAR) and exchangeable sodium percentage (ESP) depending on chemical properties. The predicted values of SAR and ESP were validated using several validation indices including the factor of determination R 2 , root mean squared error (RMSE), absolute mean error (MAE), relative error (RE), correlation coefficient (r) and standard error (s). A GIS program was used to map the studied chemical properties. The results showed that the SAR model (SAR = a 1 × Na 1+ + a 2 × Ca 2+ + a 3 × Mg 2+ + a 4 × ESP + a 5 × X east + a 6 × Y north + a 7 ) which with (R 2 =0.999, SEE=5.30, RMSE=0.000, MAE=0.000, and RE=0.000) and the ESP model (ESP = Exp(a 1 × Na 1+ + a 2 × Ca 2+ + a 3 × Mg 2+ + a 4 × X east + a 5 × Y north + a 6 )) which with ( R 2 =0.9827, SEE=5.55, RMSE=0.037,MAE=0.026 and RE=0.003) were the best for predicting SAR and ESP values for the selected wells. The Well water quality index (WWQI) was determined and accordingly the water was classified as poor. As a result, the water of the studied wells was considered unsuitable for human consumption as drinking water and irrigation; except the well of Fajr which was found critically suitable for irrigation purposes.\",\"PeriodicalId\":21762,\"journal\":{\"name\":\"Soil & Environment\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2020-05-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Soil & Environment\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.25252/se/2020/111977\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"SOIL SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Soil & Environment","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25252/se/2020/111977","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"SOIL SCIENCE","Score":null,"Total":0}
引用次数: 1

摘要

进行这项研究是为了模拟浅井水的几种化学性质,并调查伊拉克瓦西特省和济加尔省不同地区这些性质的空间变异性。选择了11口井来评估其水质及其对农业、土木工程和人类应用和用途的适用性。样本于2018年1月从瓦西特省的贾兹纳(1、2、3和4)、Karthiya、Badra、Dujaili、Shaikhsaad、Muwafaqiya、Hay和济加尔省的Fajr采集。对水样进行化学分析,以测量钠(Na1+)、钙(Ca2+)、镁(Mg2+)的浓度、pH、电导率(Ec)和总溶解固体(TDS)。对结果进行了几个描述性统计——最小值(Min.)、最大值(Max)、标准差(std)、偏度(偏斜)、峰度(Kurt.)和变异系数(CV%)。使用Data Fit(9.3)软件生成数学模型,根据化学性质预测钠吸附率(SAR)和可交换钠百分比(ESP)。SAR和ESP的预测值使用几个验证指标进行验证,包括确定因子R2、均方根误差(RMSE)、绝对均方误差(MAE)、相对误差(RE)、相关系数(R)和标准误差(s)。GIS程序用于绘制所研究的化学性质图。结果表明,SAR模型(SAR=a 1×Na 1+a 2×Ca 2+a 3×Mg 2+a 4×ESP+a 5×X东+a 6×Y北+a 7)具有(R2=0.999,SEE=5.30,RMSE=0.000,MAE=0.000和RE=0.000),ESP模型(ESP=Exp(a 1×Na1+a 1×Ca 2+a 3×Mg 2+a 1 4×X东+a 5×Y北+a 6)具有(R 2=0.9827,SEE=5.55,RMSE=0.037,MA E=0.026和RE=0.003)对于预测所选井的SAR和ESP值而言是最好的。确定了井水水质指数(WWQI),因此将该水归类为差水。因此,研究井的水被认为不适合作为饮用水和灌溉水供人类饮用;除了Fajr井被发现非常适合灌溉。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Modelling and variability of selected chemical properties of shallow water wells using GIS in Wasit and Dhi Qar provinces/Iraq
This study was conducted to model several chemical properties of shallow well waters and to investigate the spatial variability of these properties in different regions over two provinces in Iraq - Wasit and Dhi-Qar. Eleven wells were chosen to evaluate the quality of their water and its suitability for agricultural, civil engineering and human applications and uses. Samples were taken in January 2018 from Giazna (1, 2, 3, and 4 ), Karthiya, Badra, Dujaili, Shaikhsaad, Muwafaqiya, Hay, in Wasit province and from Fajr in Dhi-Qar province. The water samples were subjected to chemical analysis to measure the concentrations of sodium (Na 1+ ), calcium (Ca 2+ ), magnesium (Mg 2+ ), pH, electrical conductivity (Ec), and total dissolved solids (TDS). Results were undergone several descriptive statistics Minimum (Min.), Maximum (Max.), standard deviation (std), skewness (skew.), and Kurtosis, (Kurt.) and coefficient of variation (CV%). Mathematical models were generated using Data Fit (9.3) software to predict sodium adsorption ratio (SAR) and exchangeable sodium percentage (ESP) depending on chemical properties. The predicted values of SAR and ESP were validated using several validation indices including the factor of determination R 2 , root mean squared error (RMSE), absolute mean error (MAE), relative error (RE), correlation coefficient (r) and standard error (s). A GIS program was used to map the studied chemical properties. The results showed that the SAR model (SAR = a 1 × Na 1+ + a 2 × Ca 2+ + a 3 × Mg 2+ + a 4 × ESP + a 5 × X east + a 6 × Y north + a 7 ) which with (R 2 =0.999, SEE=5.30, RMSE=0.000, MAE=0.000, and RE=0.000) and the ESP model (ESP = Exp(a 1 × Na 1+ + a 2 × Ca 2+ + a 3 × Mg 2+ + a 4 × X east + a 5 × Y north + a 6 )) which with ( R 2 =0.9827, SEE=5.55, RMSE=0.037,MAE=0.026 and RE=0.003) were the best for predicting SAR and ESP values for the selected wells. The Well water quality index (WWQI) was determined and accordingly the water was classified as poor. As a result, the water of the studied wells was considered unsuitable for human consumption as drinking water and irrigation; except the well of Fajr which was found critically suitable for irrigation purposes.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Soil & Environment
Soil & Environment SOIL SCIENCE-
CiteScore
1.10
自引率
0.00%
发文量
0
审稿时长
4 weeks
期刊最新文献
Comparing the symbiotic efficiency of auxin and ACC-deaminase producing rhizobia and rhizobacteria to improve soybean growth under axenic conditions Application of fish scale derivatives in ameliorating the phytotoxicity effects of multi-metal contaminated soil on paddy rice Pyrolyzed agricultural wastes for improving degraded soil, nutrient use efficiency and growth performance of maize Erodibility of Vertisols in relation to agricultural practices along a toposequence in the Logone floodplain Survival efficacy and potential of Mesorhizobium Ciceri for enhancing the growth and yield of imidacloprid-treated chickpea (Cicer arietinum)
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1