Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1061/(ASCE)IR.1943-4774.0001019 |
Improving the Prediction Accuracy of Groundwater Salinity Mapping Using Indicator Kriging Method | |
Bradai, Abdelhamid1,2,3; Douaoui, Abdelkader4,5; Bettahar, Naima6,7; Yahiaoui, Ibrahim5,8 | |
通讯作者 | Bradai, Abdelhamid |
来源期刊 | JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING
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ISSN | 0733-9437 |
EISSN | 1943-4774 |
出版年 | 2016 |
卷号 | 142期号:7 |
英文摘要 | The saline groundwater irrigation is an important problem in the arid and semiarid region because it can cause soil salinization and reduce crop productivity. The accurate spatial distribution of groundwater salinity can be helpful to managers and decision makers. In this study, the mapping of salinity risk through groundwater electrical conductivity (EC) irrigation was performed based on data collected from 88 wells in the Lower-Cheliff plain (Algeria). The EC data showed a normal distribution based on elementary statistics. The EC classified using Riverside method point out a high risk of groundwater salinity (Class C3) or very high risk (Class C4) for soil salinization. The EC estimated by ordinary kriging method (OK) revealed on one hand, an underprediction of a high value, on the other hand, an overprediction of low value. The methodology of nonparametric and nonlinear of indicator kriging (IK) was performed by three thresholds: EC>2.25, EC>3, and EC>5dS/m. The map has been obtained from the combination of the local conditional cumulative distribution function (CCDF). The interpolated map by IK indicates the same overall spatial distribution of salinity with the one obtained by OK, enlightening differences in the shape and size of the area. The comparison between the groundwater EC estimated by OK and the one using IK demonstrates that IK has a better spatial prediction of salinity in terms of area and uncertainty. The groundwater salinity map was improved and accurately predicted by IK interpolation method. |
英文关键词 | Groundwater Irrigation Salinity Map Ordinary kriging Indicator kriging |
类型 | Article |
语种 | 英语 |
国家 | Algeria |
收录类别 | SCI-E |
WOS记录号 | WOS:000378871900003 |
WOS关键词 | SOIL PROPERTIES ; GEOSTATISTICS ; CONTAMINATION ; ALGERIA ; AREA ; RISK |
WOS类目 | Agricultural Engineering ; Engineering, Civil ; Water Resources |
WOS研究方向 | Agriculture ; Engineering ; Water Resources |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/194582 |
作者单位 | 1.Univ Hassiba Ben Bouali, Inst Agr Sci, Chlef 02000, Algeria; 2.Univ Hassiba Ben Bouali, Dept Hydraul, Architecture & Civil Engn Fac, Lab Water & Environm, Chlef 02000, Algeria; 3.Inst Agr Sci, Hay Salam Box 151, Chlef 02000, Algeria; 4.Univ Ctr Morsli Abdellah, Tipasa 42000, Algeria; 5.Univ Djilali Bounaama Khemis Miliana, Lab Crop Prod & Sustainable Valorizat Nat Resourc, Ain Defla 44225, Algeria; 6.Univ Hassiba Ben Bouali, Architecture & Civil Engn Fac, Dept Hydraul, Chlef 02000, Algeria; 7.Univ Hassiba Ben Bouali, Lab Water & Environm, Chlef 02000, Algeria; 8.Univ Djilali Bounaama Khemis Miliana, Fac Nat Life & Earth Sci, Ain Defla 44225, Algeria |
推荐引用方式 GB/T 7714 | Bradai, Abdelhamid,Douaoui, Abdelkader,Bettahar, Naima,et al. Improving the Prediction Accuracy of Groundwater Salinity Mapping Using Indicator Kriging Method[J],2016,142(7). |
APA | Bradai, Abdelhamid,Douaoui, Abdelkader,Bettahar, Naima,&Yahiaoui, Ibrahim.(2016).Improving the Prediction Accuracy of Groundwater Salinity Mapping Using Indicator Kriging Method.JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING,142(7). |
MLA | Bradai, Abdelhamid,et al."Improving the Prediction Accuracy of Groundwater Salinity Mapping Using Indicator Kriging Method".JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING 142.7(2016). |
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