Morphometric prioritization of semi-arid watershed for plant growth potential using GIS technique

Kadam, Ajaykumar; Jaweed, Tasadoq Hussain; Umrikar, Bhavana; Hussain, Khalid; Sankhua, R. N.

doi:10.1007/s40808-017-0386-9

Cited by 39 publications

(16 citation statements)

References 17 publications

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“…Over the past decade, throughout the world, a number of studies have been conducted by researchers on watershed prioritization based on morphometric parameters using a simple average method [5,18], principal component analysis [25][26][27], and weighted-sum approach [1,22,[28][29][30]. Gajbhiye et al [5] used simple average method for prioritizing erosion-prone area of 14 SWs of the Manot River catchment, Madhya Pradesh, India, based on morphometric (linear, areal, and shape) parameters.…”

Section: Discussionmentioning

confidence: 99%

“…They found that the texture ratio and hypsometric integral do not show correlation with any of the components. Kadam [29] used WSA for morphometric analysis of four SWs of the Shivganga watershed, Maharashtra, India, for determining the plant growth potential, and they found that 13.64% to 45.40% of total area fall under good potential growth zone. In general, the morphological parameters-based prioritization of a watershed is in good agreement with the geological field investigations carried out during the field work.…”

Section: Discussionmentioning

confidence: 99%

“…The weighted-sum analysis was applied to significant morphometric variables which were identification using PCA, and compound factor (CF) value was calculated for final priority ranking and their related category. The mathematical expression for CF computation is written as [1,22,[28][29][30]:…”

Section: Weighted-sum Approachmentioning

confidence: 99%

“…In identification of highly susceptible areas for risk assessment and management, the importance of all the input constraints may not be equal as each SW has its own characteristics. In recent years, a few separate studies have been conducted using weighted-sum analysis for watershed prioritization based on morphometric parameters [1,22,[28][29][30], as well as principal component analysis for watershed prioritization [23,[25][26][27]. The recent implementation of the hybridization between the PCA and WSA demonstrated an optimistic strategy for SW prioritization.…”

Section: Introductionmentioning

confidence: 99%

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The Implementation of a Hybrid Model for Hilly Sub-Watershed Prioritization Using Morphometric Variables: Case Study in India

Malik

Kumar

Kushwaha

et al. 2019

Water

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Among several components of watershed prioritization, morphometric parameters are considered to be essential elements for appropriate water resource planning and management. In the current study, nine hilly sub-watersheds are prioritized using novel hybrid model based on morphometric variables analysis at Bino Watershed (BW) located in the upper Ramganga basin, India. The proposed model is based on the hybridization of principal component analysis (PCA) with weighted-sum approach (WSA), presenting a single-frame methodology (PCWSA) for sub-watershed prioritization. The prioritization process was conducted based on several morphometric parameters including linear, areal, and shape. The PCA was performed to identify the significant correlated factor-loading matrix whereas WSA was established to provide the weights for the morphometric parameters and fix their priority ranking (PR) to be categorized based on compound factor value. The findings showed that 37.81% of total area is under highly susceptible zone sub-watersheds (SW-6 and SW-7). This is verifying the necessity for appropriate soil and water conservation measures for the area. The proposed hybrid methodology demonstrated a reliable approach for water resource planning and management, agriculture, and irrigation activities in the study region.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Weighted-sum Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The Implementation of a Hybrid Model for Hilly Sub-Watershed Prioritization Using Morphometric Variables: Case Study in India

Malik

Kumar

Kushwaha

et al. 2019

Water

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“…Classification techniques like K-means Cluster Analysis (KCA), Fuzzy Cluster Analysis (FCA), and Kohonen Neural Networks (KNN) are used to prioritize 25 micro-watersheds of Kherthal watershed of Rajasthan [11]. Watershed prioritization using the weighted sum model and Snyder's synthetic unit hydrograph can be used for obtaining flash flood risk [12]. Groundwater recharge potential zones mapping in upper Manimuktha Sub-basin, Vellar river Tamil Nadu India is obtained using GIS and remote sensing techniques [13].…”

Section: Introductionmentioning

confidence: 99%

A Geospatial- Statistical Approach to Alienate Priority Area of Upper Watershed of River Subarnarekha Using Morphometric Assessment Framework

Kumar¹,

Joshi²

2019

Malays. j. geosci.

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Micro-watershed planning and management play an important role in addressing the issues and challenges of water scarcity of a region. The assessment of hydrological framework using morphometric calculation and GIS technology is a recognized tool for carrying out planning activities for the watershed. The uncertainties associated with the earlier work of watershed prioritization can be easily addressed with new emerging geospatial-statistical correlation techniques. A sum weightages methodology is applied on the upper watershed of river Subarnarekha in the state of Jharkhand, India, for identification of critical subwatershed, a priority level ranking and zonation mapping of each individual subwatershed is developed using the morphometric calculation coupled with GIS tools. This approach helps in identification and bifurcation of subwatershed with three level of priority, i.e, Low, Medium, High. The result reveals that 5.8 % of subwatershed lies in high priority zone that signifies the area as critical and susceptible zones of soil erosion, which requires immediate attention from planners and policymakers. The high-level priority region should be considered for soil, water, and land conservation work. This approach of prioritization techniques can further be extended to another critical watershed of India for better decision support system and planning KEYWORDS Subarnarekha, Watershed, Jharkhand, Morphometric, Ranchi. model for watershed prioritization is also a good technique for watershed prioritization [9]. Morphometric parameters have been used to

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Hydrological response-based watershed prioritization in semiarid, basaltic region of western India using frequency ratio, fuzzy logic and AHP method

Kadam

Karnewar

Umrikar

et al. 2018

Environ Dev Sustain

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Watersheds from semiarid regions are more sensitive to hydrological processes and sustainability of water resources than humid regions. Hence, it is indispensable to determine the response of watersheds to hydrological processes for water resource management. Thus, the hydrological response-based watershed prioritization study has been undertaken for eight sub-watersheds from semiarid, basaltic region of Western Ghats of India. Intent to this, a novel index has been parameterized using thematic layers such as drainage density, geology, soil, slope, landform classification, land use/land cover, rainfall and runoff (DGSLR). This study evaluates the performance of DGSLR index using three models, namely analytical hierarchy process (AHP), frequency ratio (FR) and fuzzy logic for sub-watershed-wise prioritization. The FR ratio showed the highest value for very high drainage density (8.73) indicating most probability for a high hydrological response. According to AHP weight, most influencing factors to hydrological processes are precipitation (25%), slope (19%) and land use/land cover (14%) followed by landform classification (11%). These three methods are prioritized study area into four classes, i.e., very high, high, moderate and low using area-weighted average method. These models showed that very high-priority area lies near the outlet of the watershed as well as the upper part

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Morphometric prioritization of semi-arid watershed for plant growth potential using GIS technique

Cited by 39 publications

References 17 publications

The Implementation of a Hybrid Model for Hilly Sub-Watershed Prioritization Using Morphometric Variables: Case Study in India

The Implementation of a Hybrid Model for Hilly Sub-Watershed Prioritization Using Morphometric Variables: Case Study in India

A Geospatial- Statistical Approach to Alienate Priority Area of Upper Watershed of River Subarnarekha Using Morphometric Assessment Framework

Hydrological response-based watershed prioritization in semiarid, basaltic region of western India using frequency ratio, fuzzy logic and AHP method

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