Geospatial technique for delineation of groundwater potential zones in mine and dense forest area using weighted index overlay technique

Murasingh, Surajit; Jha, Ramakar; Adamala, Sirisha

doi:10.1016/j.gsd.2017.12.001

Cited by 25 publications

(6 citation statements)

References 28 publications

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“…Combined with the overlay module in ArcGIS software, the rural settlement attribute data is superimposed with the elevation and slope related attribute data to calculate the spatial distribution characteristics of the rural settlement (Murasingh et al, 2018;Conrad et al, 2015). The number of rural settlements is measured using statistical data, combined with field surveys.…”

Section: Rural Settlement Data Processingmentioning

confidence: 99%

The Effect of Rural Settlement Landscape Pattern on Water Conservation in Xinbin County, China

Qi¹

2019

Appl. Ecol. Env. Res.

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Rural settlements are not only the main form of Chinese farmer residence, but also a space for rural production, living as well as other comprehensive functions, being an important part of rural land use. The impact of rural settlement changes on soil and water conservation is studied as it is of great significance for soil and water conservation. Based on the satellites of Xinbin County in 1992, 2001 and 2010, this study analyzes the distribution characteristics of rural settlements by using ArcGIS software spatial analysis function and landscape index method. At the same time, SPSS software is used to analyze the correlation between soil erosion and the size of rural settlements. The results show that soil erosion is positively correlated with rural settlement size and population density. The rural residential areas in Xinbin County are severely fragmented with scattered layout. Soil erosion shows a decreasing trend while increasing in distance from settlements. The bigger the scale, the more serious the erosion.

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Section: Rural Settlement Data Processingmentioning

confidence: 99%

The Effect of Rural Settlement Landscape Pattern on Water Conservation in Xinbin County, China

Qi¹

2019

Appl. Ecol. Env. Res.

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“…The satellite image helped extensively in the identi cation and evaluation of the GWP zones in a geographical area due to its skill to recognize largeground landscapes easily (Prasad et al 2006;Adamala et al 2016). Further, it observed that simulation of various technologies, including Remote Sensing (RS) and Geographical Information System (GIS) for the exploration of the GWP zone, enhanced its ability of predictability (Murasingh et al 2018). It observed that the researchers used RS and GIS in the demarcation of the GWP zone assessments in their respective study-area located in various geographical and climatic zones of the world (Andualem and Demeke 2019; Murasingh et al 2018Murasingh et al , 2013Vijith 2007;Magesh et al 2012;Biswas et al 2012).…”

Section: Introductionmentioning

confidence: 99%

“…Further, it observed that simulation of various technologies, including Remote Sensing (RS) and Geographical Information System (GIS) for the exploration of the GWP zone, enhanced its ability of predictability (Murasingh et al 2018). It observed that the researchers used RS and GIS in the demarcation of the GWP zone assessments in their respective study-area located in various geographical and climatic zones of the world (Andualem and Demeke 2019; Murasingh et al 2018Murasingh et al , 2013Vijith 2007;Magesh et al 2012;Biswas et al 2012). The thematic-layers were prepared and utilized during the assessment of the GWP in this research work.…”

Section: Introductionmentioning

confidence: 99%

Delineation of Groundwater Potential Zone Through Geospatial Technique, Multi-Criteria Decision Analysis, And Analytical Hierarchy Process

Srivastava

2021

Preprint

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Study Region: This study area is located in a subtropical semi-arid climatic zone of India, suffering due to the low availability of water. Hence, delineation of the groundwater potential zone (GWPZ) had performed through the geospatial technique, the multicriteria decision analysis (MCDA), and the analytical hierarchy process (AHP). Study Focus: The thematic-layers of the geology, geomorphology, soil types, lineament-density, the slope of the topography, drainage-density, land-use, and land-cover developed and created by utilizing available supplementary data and digital satellite images. GWPZ had classified into 5 classes like excellent, good, moderate, poor, and very-poor. The summary of the methodology adopted for the delineation of GWPZ has given in fig-2.New Hydrological Insights for the Region: It had observed that the consistency index (CI) was 0.0106, while the random index (RI) for 7 variables considered from standard tables is 1.32. The calculated consistency ratio (CR) in this study was 0.0080 lower than 0.1000. This low CR indicated moderate consistency in the results of pairwise comparisons among the thematic layers assigned weight for analysis. Hence, the AHP model used for this research work has shown reasonably good accuracy. The statistics of GWPZ indicated ~3.97% of study-area possessed excellent GWPZ, ~37.09% very-good, ~41.72% moderate, ~15.23% poor, and ~1.99% very-poor. This model of the GWP map shows that the Area Under the Curve (AUC) of the Receiver Operating Characteristic Curve (ROC) is ~0.726. It indicated good agreement between experimental results and predicted results.

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“…Delineation of groundwater potential zones is carried out by a number of geological and geophysical methods such as electrical resistivity profiling, gravity and seismic refraction methods (Shirke et al 2005;Stephen et al 2011;Murasingh et al 2018;Oluwasegun 2018) in addition to stratigraphy analysis, groundwater pumping and drilling tests, which are often time consuming and expensive (Kumar et al 2016). In contrast, the integrated use of high-resolution remote sensing (RS) satellite imagery with a geographical information system (GIS) allows wide space and time distribution in short time frames (Ndatuwong and Yadav 2014;Sar et al 2015) enabling fast and accurate results.…”

Section: Introductionmentioning

confidence: 99%

Delineating groundwater prospect zones in a region with extreme climatic conditions using GIS and remote sensing techniques: A case study from central India

et al. 2019

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Sustainable groundwater management of an extreme climatic region is very important from both social and economic point of view. This study attempts to delineate the groundwater potential zones of Sonepur district, Odisha, which falls under an extreme climatic region, using remote sensing, geographical information system and Saaty's analytical hierarchy process (AHP). Different ancillary data, multiple data sets obtained from LANDSAT 8 OLI and ASTER Level-1T were used in conjunction with Cartosat-1 imagery to study the detailed physical attributes of the study area and to prepare the groundwater prospect map using a weighted overlay method in ArcGIS 10.4 software. The AHP technique was used for determining the weights of each layer. From the groundwater prospect map, it was found that 52% of the area belongs to the moderate groundwater prospect zone followed by good to very good, very good to excellent (32%) and poor (16%) groundwater prospect zones. Statistical analysis of the number of existing wells in each of these water potential zones and their water level was used to verify the accuracy of the water potentiality estimated in this study. The groundwater potentiality map prepared as a part of this study would serve as an important tool for identifying suitable zones for rainwater harvesting and also for managing groundwater abstraction for a safe and sustainable water supply.(0123456789().,-v ol.:V)( 01234567 89().,-vol.:V)

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Geospatial technique for delineation of groundwater potential zones in mine and dense forest area using weighted index overlay technique

Cited by 25 publications

References 28 publications

The Effect of Rural Settlement Landscape Pattern on Water Conservation in Xinbin County, China

The Effect of Rural Settlement Landscape Pattern on Water Conservation in Xinbin County, China

Delineation of Groundwater Potential Zone Through Geospatial Technique, Multi-Criteria Decision Analysis, And Analytical Hierarchy Process

Delineating groundwater prospect zones in a region with extreme climatic conditions using GIS and remote sensing techniques: A case study from central India

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