Delineation of groundwater potential zones at micro-spatial units of Nagaon district in Assam, India, using GIS-based MCDA and AHP techniques

Bhuyan, Manash Jyoti; Deka, Nityananda

doi:10.1007/s11356-022-24505-4

Cited by 10 publications

(7 citation statements)

References 49 publications

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“…The FRZs of the Nagaon district are identified by the present research using seven significant physical and seven socioeconomic parameters. As a result, it is expected that the results will be more precise when many layers are considered and overlay analysis is carried out in the GIS platform (Bhuyan & Deka, 2022). Notably, the villages received little attention in earlier studies on the delineation of FRZs.…”

Section: Discussionmentioning

confidence: 99%

“…AHP, on the other hand, is a decision‐making technique used, when a complex decision has to be made among alternatives, and multiple criteria need to be considered (Saaty, 1980). The process involves breaking down the decision into a hierarchy of smaller components and comparing their relative importance using pairwise comparisons (Bhuyan & Deka, 2022; Mishra & Sinha, 2020). This generates a matrix of weights indicating the relative weights of each component.…”

Section: Introductionmentioning

confidence: 99%

“…Noteworthy that reducing the damages caused, particularly to humans, is one of the requisite conditions of effective disaster risk reduction strategies (Sharma et al, 2018). Despite the fact that 65% of Indians live in rural regions, the issues of rural flooding are frequently disregarded and grab little academic attention (Bhuyan & Deka, 2022). As a result, little research has been done to assess the risks of microlevel flooding.…”

Section: Introductionmentioning

confidence: 99%

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Micro‐spatial flood risk assessment in Nagaon district, Assam (India) using GIS‐based multi‐criteria decision analysis (MCDA) and analytical hierarchy process (AHP)

Bhuyan¹,

Deka

Saikia³

2023

Risk Analysis

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Nagaon is one of the highly flood‐prone districts of Assam, India that recurrently experiences devastating floods resulting in the loss of lives and property and wreaking havoc on the district's socioeconomic infrastructure. Identification and mapping of spatial patterns of flood hazards, flood vulnerability, and flood risk zones (FRZs) of the district are, therefore, crucial for flood management and mitigation. The present study, therefore, attempts to delineate the FRZs of more than 930 villages in the Nagaon district by integrating the flood hazard and vulnerability layers in the geospatial environment using the multi‐criteria decision analysis and analytical hierarchy process techniques. Here, seven flood hazard and vulnerability indicators are considered to derive each layer separately. The results indicate that about 15.14% of the district's total villages are in the very high FRZ, 27.93% in the high, 46.62% in the moderate, and 10.3% in the low FRZ. Further, bivariate correlation analysis is used to evaluate the results with the percentages of the population, cropland, and animals affected by floods at different temporal scales in order to ensure that the revenue circles with a higher percentage of area under high and very high FRZs genuinely have higher percentages of flood‐affected cropland, people, and livestock. The significance of this research is evident in its pragmatic findings that could aid the stakeholders in managing and reducing flood risk at micro‐spatial scales.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Micro‐spatial flood risk assessment in Nagaon district, Assam (India) using GIS‐based multi‐criteria decision analysis (MCDA) and analytical hierarchy process (AHP)

Bhuyan¹,

Deka

Saikia³

2023

Risk Analysis

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“…• The Digital Elevation Model (DEM) data from the Shuttle Radar Topography Mission (SRTM) was used for accurate morphometric analysis. SRTM's 30 m of spatial resolution and advanced computational capabilities, when combined with its C-band interferometric radar setup [41,42] allowed for quick determination of morphometric parameters. Additionally, vector data encompassing Lithology and hydrogeomorphology at a scale of 1:250,000 were sourced from the Geological Survey of India's official website, Bhukosh [41].…”

mentioning

confidence: 99%

“…SRTM's 30 m of spatial resolution and advanced computational capabilities, when combined with its C-band interferometric radar setup [41,42] allowed for quick determination of morphometric parameters. Additionally, vector data encompassing Lithology and hydrogeomorphology at a scale of 1:250,000 were sourced from the Geological Survey of India's official website, Bhukosh [41]. Table 1 provides data sources used in the study.…”

mentioning

confidence: 99%

Critical Watershed Prioritization through Multi-Criteria Decision-Making Techniques and Geographical Information System Integration for Watershed Management

Halder,

RoyChowdhury,

Kar

et al. 2024

Sustainability

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The Precambrian hard rock topography of the Manbhum-Singhbhum plateau, which is well known for its semi-arid climates prone to drought, is often seen in Purulia district in West Bengal, India. Despite the district’s middling groundwater capacity, 17 out of 20 blocks have exorbitant fluoride pollution in the groundwater that negatively impacts the health of local residents. Approximately 13% of the whole area suffers from severe erosion. It is evident that the river Kangsabati and its tributaries are not well fed by rainwater and thereby there is always a dearth of ground water. The aim of this study was to identify and prioritize integral watersheds in the Purulia area using Multi-Criteria Decision Making (MCDM) and Geographic Information Systems (GIS). The evaluation was carried out in the Bandu sub-watershed, which contains five micro watersheds: 2A2B5m, 2A2B5k, 2A2B5h, 2A2B5b, and 2A2B5j. The analysis considered five major factors: lithological properties, land use and land cover, soil erosion, groundwater recharge, and hydrogeomorphology. The weights of these criteria were determined by the Analytical Hierarchy Process (AHP) model, which was then prioritized using the Techniques for Order of Preference by Similarity to the Ideal Solution (TOPSIS) technique. This study emphasized an integrated approach to assess watershed hazards and to establish rational conservation goals. The Central Ground Water Board (CGWB) of India report was referred during data analysis. As a result of this study, the 2A2B5k watershed emerged as the most critical due to its susceptibility across the analyzed parameters. This thorough plan demonstrated the usefulness of identifying watershed threads and prioritizing conservation efforts.

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Response of erosion sensitivity to land use change in populated areas: a case study of the middle and lower reaches of Yangtze River

Yi,

Zhang,

Wang

et al. 2024

Environ Dev Sustain

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Delineation of groundwater potential zones at micro-spatial units of Nagaon district in Assam, India, using GIS-based MCDA and AHP techniques

Cited by 10 publications

References 49 publications

Micro‐spatial flood risk assessment in Nagaon district, Assam (India) using GIS‐based multi‐criteria decision analysis (MCDA) and analytical hierarchy process (AHP)

Micro‐spatial flood risk assessment in Nagaon district, Assam (India) using GIS‐based multi‐criteria decision analysis (MCDA) and analytical hierarchy process (AHP)

Critical Watershed Prioritization through Multi-Criteria Decision-Making Techniques and Geographical Information System Integration for Watershed Management

Response of erosion sensitivity to land use change in populated areas: a case study of the middle and lower reaches of Yangtze River

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