Geospatial decipherment of groundwater potential of Kattankolathur block of Tamil Nadu using MCDM techniques

Nanda, Sachikanta; Annadurai, R.; Barik, Kamal Kumar

doi:10.1016/j.rsase.2017.10.002

Cited by 15 publications

(6 citation statements)

References 32 publications

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“…The research shows that the groundwater reserves in the northwest of India and the middle of the Ganges River are decreasing, and agricultural activities are increasingly dependent on irrigation. The available water of monsoon precipitation should be regulated wisely, especially after drought years (Nanda et al ., 2017). In fact, the SVI ME showed signs of expansion from the southeast to the northwest of the plateau since May, which may indicate the real beginning of the Indian monsoon period.…”

Section: Resultsmentioning

confidence: 99%

Temporal variability of precipitation over the Qinghai‐Tibetan Plateau and its surrounding areas in the last 40 years

Gao

et al. 2022

Intl Journal of Climatology

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The Qinghai‐Tibet Plateau (QTP) plays a crucial role in regulating the climate and hydrology over Asia, and studies indicate that the QTP tends to be warm and humid as a whole. Although precipitation variability on the QTP has a great impact on floods, soil erosion, and droughts, it is poorly understood owing to sparse meteorological observations. This study has investigated the temporal variability of precipitation on the QTP and its surrounding areas on different time scales over the past 40 years using the standardized variability index (SVI) based on entropy as well as its changing trends. The results show that the variability of precipitation has different spatial patterns on different time scales. In general, the variability of both the precipitation days and amounts are low in the southeast and northwest corners of the plateau and high in the southwest and north. It was found that the number of light precipitation days in the high vegetation coverage area in the southeastern plateau decreased significantly, but increased greatly in the bare land and sparse vegetation coverage areas in the northern part of the plateau. Such changes are believed to be conducive for ecological restoration. Most importantly, in the southern foothills of the Himalayas, many light precipitation days have turned into moderate and heavy precipitation days, and a significant increase in annual precipitation has also been noted, which are likely to cause natural disasters considering the local topographical conditions, such as landslides and mudslides. Highlights In QTP, SVIME in May is closer to summer mode, indicating monsoon beginning have advanced to May. Extreme precipitation significantly influences precipitation variability. Daily SVIAE decreases in grassland/barren/sparsely vegetated land, good for ecology. Light rain days increased in bare land/sparse vegetation areas, benefiting vegetation restoration. In southern Himalayas, light rain changed to moderate/heavy rain, leading to natural disasters.

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Section: Resultsmentioning

confidence: 99%

Temporal variability of precipitation over the Qinghai‐Tibetan Plateau and its surrounding areas in the last 40 years

Gao

et al. 2022

Intl Journal of Climatology

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“…Rainfall is essential hydrologic variable that controls the availability of potential groundwater (Nanda et al 2017;Murmu et al 2019;Kaur et al 2020). The sustainability of groundwater is dependent on the amount of recharge (Kotchoni et al 2019).…”

Section: Rainfallmentioning

confidence: 99%

“…Irrespective of slight variation in the type and weight given to groundwater occurrence governing variables, some authors use integration of RS and GIS technology for GWP zone delineation without MCDA (Fashae et al 2014;Gumma and Pavelic 2013;Jasrotia et al 2016;Kumar and Pandey 2016;Magesh et al 2012;Oikonomidis et al 2015;Andualem and Demeke 2019) and with MCDA (e.g, Abrams et al 2018;Arabameri et al 2019;Fenta et al 2014;Ghosh et al 2020;Jenifer and Jha 2017;Kaur et al 2020;Nanda et al 2017;Patra et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Appraising groundwater potential zones using geospatial and multi-criteria decision analysis (MCDA) techniques in Andasa-Tul watershed, Upper Blue Nile basin, Ethiopia

et al. 2021

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Ever increase in population growth and drastic climatic changes augment the demand and exploration of groundwater from time to time. An integrated approach of remote sensing (RS), geographic information system (GIS) and multicriteria decision analysis (MCDA) of analytical hierarchical process (AHP) were applied to delineate groundwater potential (GWP) zones in Andasa-Tul watershed, Upper Blue Nile Basin, Ethiopia. For this purpose, nine GWP influencing thematic layers comprising lithology, lineament density, geomorphology, slope, soil, drainage density, land use/land cover, rainfall and depth to groundwater level were used. The thematic layers and classes within them were given scale values based on literature and experts' decision and calculated using Satty's AHP. The thematic layers have been integrated via their weights/rates using weighted overlay spatial function tool of ArcGIS to provide GWP map. The result shows that GWP map comprises very good (13.4%), good (7%), moderate (23.6 %), poor (35.4%) and very poor (20.5%) zones. Validation of the GWP map with existing water point yields shows 84.21 % agreement indicating good accuracy of the method. The map removal sensitivity analysis result reveals that GWP is more sensitive to lithology (mean variation index, 1.92 %) and less sensitive to geomorphology (mean variation index, 0.59 %). Similarly, from the single layer sensitivity analysis, lithology and slope are found to be more effective parameters, whereas rainfall and depth to groundwater level are less effective variables.

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“…Land-uses influences the fate of rainwater. Depending on the land-uses, the rainfall water can evaporate, infiltrate into the soil or lost/drained to the sea as runoff (Nanda et al 2017). Cultivated lands for agriculture were assigned a high rank because it is mostly associated with good underlying groundwater potential sites, fine/medium texture.…”

Section: Land Cover / Land Use Layermentioning

confidence: 99%

Geospatial delineation and mapping of groundwater potential in Embu County, Kenya

2019

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Integration of Remote Sensing (RS) and the Geographical Information System (GIS) approaches in the field of groundwater resources management is a breakthrough. The RS and GIS geospatial approaches can enhance the assessment, monitoring, and conservation of groundwater resources. In this study, RS and GIS geospatial techniques were applied with the aim of identifying groundwater potential zones in Embu County, Kenya, based on selected multi influencing factors. Lineament layer was obtained by processing Landsat 8 ETM+ image using Principal Component Analysis in ENVI®4.7 and automatic extraction from Principal Component Image using the LINE module in Geomatica software. The resultant groundwater potential map showed that approximately 78% of the total area ranged from ‘high’ to ‘very high’ zones indicating that almost half of the study area has good groundwater potential. About 20% showed moderate potential while only 2% fell under the low potential zone. The proposed study approach can be used as a new way of modeling geospatial data for identification and mapping of groundwater potential zones. The study findings are useful to first-hand information planners and local authorities for assessment, planning, management and administration of groundwater resources in Embu County.

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Geospatial decipherment of groundwater potential of Kattankolathur block of Tamil Nadu using MCDM techniques

Cited by 15 publications

References 32 publications

Temporal variability of precipitation over the Qinghai‐Tibetan Plateau and its surrounding areas in the last 40 years

Temporal variability of precipitation over the Qinghai‐Tibetan Plateau and its surrounding areas in the last 40 years

Appraising groundwater potential zones using geospatial and multi-criteria decision analysis (MCDA) techniques in Andasa-Tul watershed, Upper Blue Nile basin, Ethiopia

Geospatial delineation and mapping of groundwater potential in Embu County, Kenya

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