Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1007/s12517-019-4969-9 |
Statistical relationship between land surface altitude and soil salinity in the enclosed desert depressions of arid regions | |
Bakr, Noura; Ali, Rafat Ramadan | |
通讯作者 | Ali, Rafat Ramadan |
来源期刊 | ARABIAN JOURNAL OF GEOSCIENCES
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ISSN | 1866-7511 |
EISSN | 1866-7538 |
出版年 | 2019 |
卷号 | 12期号:23 |
英文摘要 | Soil salinity is one of the most limiting factors in land evaluation and management for agricultural use as it impacts directly on crop cultivation and production. The laboratory soil salinity analysis (electrical conductivity, EC) is an essential procedure to determine the suitability of soils for different uses. The main goal of this research is to quantify the statistical relationship between surface altitude (based on digital elevation model, DEM) and soil salinity (based on EC) in a desert depression in the arid region. A total of 40 surface soil samples collected from different altitudes in Wadi El Farigh depression, western desert, Egypt. The co-kriging geostatistical model was applied to interpolate the laboratory-measured EC values as the primary variable and the elevation as a covariate. Based on the altitude variations, the dataset classified into two groups; soil samples within the altitude of <= 20 m and > 20 m. Both linear and logistic (power) regression models were employed to predict the EC values based on the elevation of the study area using all dataset and the two classified groups. The results show a strong correlation between EC values and surface elevation. The linear regression models produced R(2)s of 0.67, 0.86, and 0.74 using all dataset, <= 20 and > 20 m, respectively. Stronger relationships with respective R(2)s of 0.94, 0.86, and 0.84 achieved when power model was applied. No significant differences observed between the models' results and validation datasets. Generally, the regression analysis shows a promising technique for predicting the soil salinity based on surface altitude in the enclosed depressions of the arid region. |
英文关键词 | Co-kriging DEM EC Egypt Regression analysis |
类型 | Article |
语种 | 英语 |
国家 | Egypt |
收录类别 | SCI-E |
WOS记录号 | WOS:000501806700004 |
WOS关键词 | DIGITAL ELEVATION MODELS ; SALT-AFFECTED SOILS ; SPATIAL PREDICTION ; SHALLOW GROUNDWATER ; TRAFFIC DENSITY ; SONGNEN PLAIN ; CLASSIFICATION ; MANAGEMENT ; TERRAIN ; QUALITY |
WOS类目 | Geosciences, Multidisciplinary |
WOS研究方向 | Geology |
EI主题词 | 2019-12-01 |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/311228 |
作者单位 | Natl Res Ctr, Soils & Water Use Dept, Cairo, Egypt |
推荐引用方式 GB/T 7714 | Bakr, Noura,Ali, Rafat Ramadan. Statistical relationship between land surface altitude and soil salinity in the enclosed desert depressions of arid regions[J],2019,12(23). |
APA | Bakr, Noura,&Ali, Rafat Ramadan.(2019).Statistical relationship between land surface altitude and soil salinity in the enclosed desert depressions of arid regions.ARABIAN JOURNAL OF GEOSCIENCES,12(23). |
MLA | Bakr, Noura,et al."Statistical relationship between land surface altitude and soil salinity in the enclosed desert depressions of arid regions".ARABIAN JOURNAL OF GEOSCIENCES 12.23(2019). |
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