Prioritization of agricultural sub-watersheds in semi arid middle region of Gujarat using remote sensing and GIS

Makwana, Jaydip J.; Tiwari, Mukesh

doi:10.1007/s12665-015-4935-0

Cited by 24 publications

(13 citation statements)

References 40 publications

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“…Priority of the 43 sub-watersheds based on based on morphometric analysis. servation measures [43]. Out of the 43 sub-watersheds of the Zerqa River, 17 sub-watersheds (39.5% of the total) (sub-watersheds nos.…”

Section: Prioritization Of Sub-watersheds Based On Morphometric Analysismentioning

confidence: 99%

“…Following the rating of every single morphometric parameter, the ranking values for all linear and shape parameters pertaining to each sub-watershed are added up for each of the sub-watershed to attain compound parameter (C p ) scores based on the average value of these parameters. Moreover, the subwatershed having the lowest compound parameter score was assigned the highest priority, the next higher value was referred as second priority and so on [43]. Highest priority denotes the greater degree of soil erosion in that particular sub-watershed, thus, it is considered a potential area for applying soil conservation measures [48].…”

Section: Introductionmentioning

confidence: 99%

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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

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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Section: Prioritization Of Sub-watersheds Based On Morphometric Analysismentioning

confidence: 99%

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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“…the western rejuvenated belt of the watershed. Accordingly, the highest priority reveals the great degree of erosion risk associated with particular sub-basins, and thus, represents a potential area for adaptation soil and water conservation measures [38]. Out of the 23 sub-basins of W.Wala, 6 sub-basins (26% of the total) (sub-basins nos.…”

Section: Shape Factor (B S )mentioning

confidence: 99%

“…Furthermore, the sub-basins having the lowest compound parameter score were designated the highest priority, the next higher value was assigned as second priority and so on [38]. Highest priority indicates the greater degree of soil erosion in that particular sub-basin; thus, it is considered a potential area for applying soil conservation measures [45].…”

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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“…Following the rating of every single morphometric parameter, the ranking values of all linear and shape parameters related to each sub-basin are added up for each of the sub-basins to achieve the score of the compound parameter (C p ) based on the average value of these parameters. Furthermore, the sub-basin having the lowest compound parameter score was assigned the highest priority, the next higher value was referred as second priority and so on [42]. Highest priority indicates the greater degree of soil erosion, or prone-erosion areas in that particular sub-basin.…”

Section: Introductionmentioning

confidence: 99%

Prioritization of W. Mujib Catchment (South Jordan) through Morphometric and Discriminant Analysis, GIS, and RS Techniques

Farhan¹,

Zreqat²,

Anbar³

et al. 2018

GEP

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GIS and remote sensing were utilized for prioritizing the W. Mujib catchment. Fifty three fourth-order sub-watersheds were prioritized based on morphometric analysis of linear and shape parameters. ASTER DEM (v.2), topographical maps, and Arc GIS (10.1) software, have been employed to delineate the 53 sub-basins, to extract the drainage networks, and to compute the required basic, linear, and shape parameters, and to compile the necessary thematic maps such as elevation and slope categories. The land use/land cover map was generated using ERDAS Imagine (2015), LANDSAT 8 image, and supervised classification (Maximum Likelihood Method). Soil map was digitized using the Arc GIS tool. Each sub-basin is prioritized by assigning ranks based on the calculated compound parameter (Cp). The final score for each sub-basin is ascribed as per erosion threat. The 53 sub-watersheds were grouped into four categories of priority: very high (15 sub-basins, 28.3% of the total), high (17 sub-basins, 32% of the total), moderate (16 sub-basins, 30.2% of the total), and low (5 sub-basins, 9.5% of the total). Sub-basins categorized as very high and high priority (60.3% of the total) are subjected to high erosion risk, thus, creating an urgent need for applying soil and water conservation measures. The validity of the prioritized four groups was tested statistically by means of Discriminant Analysis (DA), and a significant difference was found between the four priority classes. A relatively complete separation exists between the recognized priority classes; thus, they are statistically valid, distinct, and different from each other. The present results intend to help decision makers pay sufficient attention to soil and water conservation programs, and to encourage tree plantation over the government-owned sloping land. Such procedures are essential in order to minimize soil erosion loss, and How to cite this paper:

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Prioritization of agricultural sub-watersheds in semi arid middle region of Gujarat using remote sensing and GIS

Cited by 24 publications

References 40 publications

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 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

Prioritization of W. Mujib Catchment (South Jordan) through Morphometric and Discriminant Analysis, GIS, and RS Techniques

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