Prioritization of watersheds using morphometric parameters and assessment of surface water potential using remote sensing

Suresh, M.; Sudhakar, S.; Tiwari, K. N.; Chowdary, V. M.

doi:10.1007/bf03030885

Cited by 68 publications

(21 citation statements)

References 4 publications

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“…Such studies confirm the role of geographic information system (GIS), remote sensing (RS), and morphometric analysis as efficient tools in ranking different sub-watersheds according to the order in which they have to be taken for treatment and for soil conservation measures [15]. At an early stage of morphometric analysis application in prioritization of sub-watersheds, Biswas et al [12] employ ten morphometric parameters: three of them are basin geometric parameters such as area (km 2 ), perimeter (km), and basin length (km); four linear parameters (bifurcation ratio, drainage density (km/km 2 ), stream frequency (no/km 2 ), and texture ratio).…”

Section: Introductionmentioning

confidence: 70%

A Remote Sensing and GIS Approach for Prioritization of Wadi Shueib Mini-Watersheds (Central Jordan) Based on Morphometric and Soil Erosion Susceptibility Analysis

Farhan¹,

Anaba²

2016

JGIS

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Recently watershed prioritization has become a pragmatic approach for watershed management and natural resources development. Wadi Shueib is a Jordan Rift valley and covers an area of 177.8 km 2 . The upper catchment is of dry Mediterranean climate, whereas the lower part is arid. The drainage network is sub-dendritic pattern, with a trellis pattern developed due to the influence of W. Shueib structure. Fourteen mini-watersheds were delineated and designated as (MW 1 to MW 14) for prioritization purposes. Morphometric analysis, and soil erosion susceptibility analysis were conducted, and their values were calculated for each mini-watersheds. Based on value/relationship with erodibility, different prioritization ranks were ascribed following the computation of compound factors. Based on morphometric and soil erosion susceptibility analysis, and the resultant ranks, the mini-watersheds have been classified into four categories in relation to their priority for soil conservation measures: very high, high, moderate, and low. It is found that 64.3% of the 3 rd order mini-watersheds are classified in the categories of very high and high priority. Based on soil erosion susceptibility analysis, three mini-watersheds are of very high priority and three are of high priority. The integration of morphometric and soil erosion susceptibility methods shows that mini-watersheds no.2 and no.3 are common mini-watersheds, and can be classified in the class of moderate and low priority respectively. By contrast, two mini-watersheds (no.8 and no.13) are categorized in the class of high priority based on morphometric analysis, and are classified in the category of very high priority based on soil erosion susceptibility analysis. Similarly, mini-watershed no.14 can be placed in the category of very high priority based on morphometric analysis, and ranks in the category of high priority based on soil erosion susceptibility analysis. With reference to the integration of the two methods of prioritization, it can be con-cluded that most of the mini-watersheds can be categorized in the classes moderate, high, and very high priority. Consequently, the entire W. Shueib watershed must be prioritized for soil and water conservation to ensure future sustainable agriculture and development of natural resources.

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Section: Introductionmentioning

confidence: 70%

A Remote Sensing and GIS Approach for Prioritization of Wadi Shueib Mini-Watersheds (Central Jordan) Based on Morphometric and Soil Erosion Susceptibility Analysis

Farhan¹,

Anaba²

2016

JGIS

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“…Recent investigations carried out on watershed prioritization, employ various methods of analysis, such as morphometric analysis combined with the sediment yield index (SYI) model, and sediment product rate (SPR) [49]. Others adopted the analysis of linear and shape morphometric parameters for prioritization [50].…”

Section: Introductionmentioning

confidence: 99%

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

Farhan¹,

Anbar²,

Al-Shaikh³

et al. 2017

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Remote sensing and GIS techniques were employed for prioritization of the Zerqa River watershed. Forty-three 4 th order sub-watersheds were prioritized based on morphometric and Principal Component Analysis (PCA), in order to examine the effectiveness of morphometric parameters in watershed prioritization. A comparison has been carried out between the results achieved through applying the two methods of analysis (morphometric and PCA). Afterwards, suitable measures are proposed for soil and water conservation. Topo sheets and ASTER DEM have been employed to demarcate the 43 subwatersheds, to extract the drainage networks, and to compile the required thematic maps such as slope categories and elevation. LANDSAT 8 image (April-2015) is employed to generate land use/cover maps using ENVI (v 5.1) software. The soil map of the watershed has been digitized using Arc GIS software. Prioritization of the 43 sub-watersheds was performed using ten linear and shape parameters, and three parameters which are highly correlated with components 1 and 2. Subsequently, different sub-watersheds were prioritized by ascribing ranks based on the calculated compound parameters (Cp) using the two approaches. Comparison of the results revealed that prioritization of watersheds based on morphometric analysis is more consistent and serves for better decision making in conservation planning as compared with the PCA approach. The recommended soil conservation measures are prescribed in accordance with the specified priority, in order to avoid undesirable effects on land and environment. Sub-watersheds classified under high priority class are subjected to high erosion risk, thus, creating an urgent need for applying soil and water conservation measures. It is expected that decision 114makers will pay sufficient attention to the present results/information, activate programs encouraging soil conservation, integrated watershed management, and will continue working on the afforestation of the government-owned sloping lands. Such a viable approach can be applied at different parts of the rainfed highland areas to minimize soil erosion loss, and to increase infiltration and soil moisture in the soil profile, thus, reducing the impact of recurrent droughts and the possibility of flooding hazards.

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“…Among these methods is: morphometric analysis based on linear and shape parameters [36] [38] [44]. Moreover, morphometric analysis combined with sediment yield index (SYI) model, and sediment product rate (SPR) was also utilized [40]. Other studies employed morphometric analysis, land use/land cover variables, and sediment yield index [37].…”

Section: Introductionmentioning

confidence: 99%

“…Other studies employed morphometric analysis, land use/land cover variables, and sediment yield index [37]. Snyder's synthetic unit hydrograph method has incorporated in the analysis by Singh and Singh [40]. Several prioritization studies combined morphometric analysis with the USLE and RUSLE models for soil loss es- ), texture ratio, stream frequency, and overland flow (Km)); and shape parameters (elongation ratio, circularity ratio, shape factor, form factor, and compactness coefficient) are the common parameters employed to calculate the compound parameter (Cp) on which prioritization of sub-watersheds is perceived.…”

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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Prioritization of watersheds using morphometric parameters and assessment of surface water potential using remote sensing

Cited by 68 publications

References 4 publications

A Remote Sensing and GIS Approach for Prioritization of Wadi Shueib Mini-Watersheds (Central Jordan) Based on Morphometric and Soil Erosion Susceptibility Analysis

A Remote Sensing and GIS Approach for Prioritization of Wadi Shueib Mini-Watersheds (Central Jordan) Based on Morphometric and Soil Erosion Susceptibility Analysis

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

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

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