Prioritization of Semi-Arid Agricultural Watershed Using Morphometric and Principal Component Analysis, Remote Sensing, and GIS Techniques, the Zerqa River Watershed, Northern Jordan

Farhan, Yahya; Anbar, Ali; Al-Shaikh, Nisrin; Mousa, Rami

doi:10.4236/as.2017.81009

Cited by 68 publications

(39 citation statements)

References 48 publications

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“…Then, the basin's hydrological configuration was explained by those geomorphometric parameters explaining the greatest portion of the variance among the watersheds. The PCA results from this study are consistent with the observations made by Meshram and Sharma [32] and Farhan et al [33].…”

Section: Discussionsupporting

confidence: 93%

A Multivariate Geomorphometric Approach to Prioritize Erosion-Prone Watersheds

et al. 2019

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Soil erosion is considered one of the main degradation processes in ecosystems located in developing countries. In northern Mexico, one of the most important hydrological regions is the Conchos River Basin (CRB) due to its utilization as a runoff source. However, the CRB is subjected to significant erosion processes due to natural and anthropogenic causes. Thus, classifying the CRB’s watersheds based on their erosion susceptibility is of great importance. This study classified and then prioritized the 31 watersheds composing the CRB. For that, multivariate techniques such as principal component analysis (PCA), group analysis (GA), and the ranking methodology known as compound parameter (Cp) were used. After a correlation analysis, the values of 26 from 33 geomorphometric parameters estimated from each watershed served for the evaluation. The PCA defined linear-type parameters as the main source of variability among the watersheds. The GA and the Cp were effective for grouping the watersheds in five groups, and provided the information for the spatial analysis. The GA methodology best classified the watersheds based on the variance of their parameters. The group with the highest prioritization and erosion susceptibility included watersheds RH24Lf, RH24Lb, RH24Nc, and RH24Jb. These watersheds are potential candidates for the implementation of soil conservation practices.

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Section: Discussionsupporting

confidence: 93%

A Multivariate Geomorphometric Approach to Prioritize Erosion-Prone Watersheds

et al. 2019

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“…indicates that these sub-basins are elongated and more elongated, shape is associated with low peak flow of longer duration, and thus, of less probability for severe flooding [39].…”

Section: Shape Parametermentioning

confidence: 99%

“…Adaptation of conservation measures with respect to a priority approach will minimize soil erosion loss, thus increasing moisture in soil profile, and in turn reducing the impact of drought and the possibility of flooding. Finally, prioritization is important for positioning suitable sites for water harvesting, and designing efficient water harvesting structures [30]- [39].…”

Section: Introductionmentioning

confidence: 99%

Prioritization of Promising Wadi Wala Watershed (Southern Jordan) Using GIS-Based Morphometric Analysis and Multivariate Statistics

Farhan¹,

Anbar²,

Zreqat³

et al. 2018

OJG

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GIS-based morphometric analysis was employed for prioritization of the Wadi Wala catchment, southern Jordan. Twenty three fourth-order sub-basins were prioritized based on morphometric analysis, then appropriate soil and water conservation measures were proposed. Digital Elevation Model (DEM) and Arc GIS were used to delineate watersheds and to extract the drainage networks, and other required thematic maps (elevation and slope). LANDSAT data was used to prepare land use/land cover map, and a soil map was digitized using Arc GIS software. Linear and shape parameters were computed to prioritize 23 sub-watersheds, and ranks were designated based on the calculated compound parameter (Cp). Sub-basins grouped under a high priority class are exposed to high erosion risk; thus, they are of high potential for applying soil and water conservation measures. The current study substantiates the capability of morphometric analysis method, and geospatial technology in watershed prioritization. The Discriminant Analysis (DA) employed validates the priority classes (high, moderate, and low priority) achieved based on morphometric analysis, where they found statistically distinct from each other. Thus, it can be concluded that prioritization based only on morphometric analysis method is consistent, reliable, and of high capacity using GIS platform. Priority map along with soil, land user/cover, and slope information will help decision makers to execute proper soil and water conservation programs in the rainfed highlands of Jordan.

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“…To pacify the effect of nonuniform rainfall distribution and to aid rain water harvesting in semi-arid regions grouping of geomorphic parameters of a watershed is important for hydrologic modeling using principal component analysis (PCA) (Sharma et al 2015;Farhan et al 2017;Liu et al 2017). PCA can also be used for evaluation and management of water quality (Parinet et al 2004;Gajbhiye et al 2015aGajbhiye et al , 2015b and also in the development of water sustainability index (Ali 2009).…”

Section: Introductionmentioning

confidence: 99%

Development of a Composite Hydrologic Index for Semi‐Arid Region of India

Jeet¹,

Singh

Sarangi

2019

Groundwater

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Rainfall is the major source for groundwater recharge in basins areas of central region of India. Now a day, the river basins are experiencing acute shortage of water which has resulted in lowering of groundwater level and drying up of water bodies. In order to maintain water sustainability; a composite hydrologic index was developed in the Betwa basin of Madhya Pradesh and Uttar Pradesh states, India. The index was developed using principal component analysis through hydrologic, topographic as well as geographic parameters derived from the Soil and Water Assessment Tool and MODFLOW model. The geomorphological parameters were categorized, on the basis of groundwater recharge potential and weight ranged from 1 to 4. The geomorphologic parameters, that is, soil type (T), slope (S), runoff ratio (R), and evapotranspiration (ET) were integrated into a single indicator of composite hydrologic index. Soil type and ET were the major factors that directly affected the groundwater recharge. These two parameters together explained 86% of total variability in the data. Based on the analysis of the four parameters that affected groundwater recharge, composite hydrologic index (CHI) was classified into very good, good, moderate, and low grade. The CHI was statistically validated using standardization methods. The index was developed as a water management tool to measure a sustainability state relative to a groundwater recharge potential, which allows for spatial and temporal comparison. This index will be helpful in natural resource management and will improve socioeconomic status of human population inhibiting in the semi‐arid region.

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Prioritization of Semi-Arid Agricultural Watershed Using Morphometric and Principal Component Analysis, Remote Sensing, and GIS Techniques, the Zerqa River Watershed, Northern Jordan

Cited by 68 publications

References 48 publications

A Multivariate Geomorphometric Approach to Prioritize Erosion-Prone Watersheds

A Multivariate Geomorphometric Approach to Prioritize Erosion-Prone Watersheds

Prioritization of Promising Wadi Wala Watershed (Southern Jordan) Using GIS-Based Morphometric Analysis and Multivariate Statistics

Development of a Composite Hydrologic Index for Semi‐Arid Region of India

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