Identification of groundwater prospective zones using irs-id liss iii and pump test methods

Gopinath, Girish; Seralathan, P

doi:10.1007/bf03030858

Cited by 21 publications

(6 citation statements)

References 15 publications

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“…Application of RS in hydrogeological investigation and monitoring can provide significant information in spatial and temporal scales, which is important for effective analysis, prediction, and validation of water resources models [33]. The ability of satellite imagery to cover large spatial scales is essential for the depiction of basins physiographic characteristics, such as land use/land cover, slope, and drainage density as well as structural characteristics such as fractures, faults, and cleavages [34][35][36][37][38][39]. Such characteristics are major requirements for groundwater resources evaluation and exploration and were used by many researchers (e.g., Table 2) for GWPZs delineation.…”

Section: Introductionmentioning

confidence: 99%

Identification of Groundwater Potential Zones Using Remote Sensing and GIS Techniques: A Case Study of the Shatt Al-Arab Basin

2020

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Rapid population growth has raised the groundwater resources demand for socio-economic development in the Shatt Al-Arab basin. The sustainable management of groundwater resources requires precise quantitative evaluation, which can be achieved by applying scientific principles and modern techniques. An integrated concept has been used in the current study to identify the groundwater potential zones (GWPZs) in the Shatt Al-Arab basin using remote sensing (RS), geographic information system (GIS), and analytic hierarchy process (AHP). For this purpose, nine groundwater occurrence and movement controlling parameters (i.e., lithology, rainfall, geomorphology, slope, drainage density, soil, land use/land cover, distance to river, and lineament density) were prepared and transformed into raster data using ArcGIS software. These nine parameters (thematic layers) were allocated weights proportional to their importance. Furthermore, the hierarchical ranking was conducted using a pairwise comparison matrix of the AHP in order to estimate the final normalized weights of these layers. We used the overlay weighted sum technique to integrate the layers for the creation of the GWPZs map of the study area. The map has been categorized into five zones (viz., very good, good, moderate, poor, and very poor) representing 4, 51, 35, 9, and 1% of the study area, respectively. Finally, for assessing the effectiveness of the model, the GWPZs map was validated using depth to groundwater data for 99 wells distributed over the basin. The validation results confirm that the applied approach provides significantly solid results that can help in perspective planning and sustainable utilization of the groundwater resources in this water-stressed region.

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Section: Introductionmentioning

confidence: 99%

Identification of Groundwater Potential Zones Using Remote Sensing and GIS Techniques: A Case Study of the Shatt Al-Arab Basin

2020

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“…The overlay analysis of the spatial analyst tool of ArcGIS 10.3 applied to prepare the final map is one of the foremost methods of integrating multiple thematic layers (Fig. S1) having a common computational scale (Gopinath and Seralathan 2004). The SESZ was calculated using Eq.…”

Section: Soil Erosion-susceptible Zone (Sesz)mentioning

confidence: 99%

Modelling soil erosion risk of a tropical plateau basin to identify priority areas for conservation

Halder

Roy²,

Roy

2021

Environ Earth Sci

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Soil erosion induced by physical and anthropogenic activities needs serious concern to deal with. In recent days, watersheds have been facing acute soil loss because of deforestation, poor land use management and unscientific agricultural practices. The present paper highlights the goal to decipher soil erosion-susceptible zones in a rain-fed river basin of India having a complex topography comprising the extension of Chotonagpur plateau and parts of Bengal basin. Fuzzy logic algorithmbased analytical hierarchy process (FAHP) with remote sensing and geographical information system (GIS) were used to execute the objective. The soil erosion-susceptible zone (SESZ) was identified assimilating the 14 geo-environmental, hydrometeorological and anthropogenic conditioning factors such as slope, drainage density, relative relief, stream power index, topographic wetness index, runoff, soil texture, land use and land cover, rainfall erosivity factor, distance from road, distance from settlement, distance from river, geomorphology and soil bareness index based on which sub-basin prioritization for sustainable soil conservation was made. The soil erosion-susceptible zone was classified into five classes, namely very low soil erosion zone (13.20%), low soil erosion zone (25.75%), moderate soil erosion zone (27.62%), high soil erosion zone (21.90%) and very high soil erosion zone (11.53%). Receiver operating characteristics (ROC) curve was generated where area under the curve (AUC) came as 0.82 and a correspondence analysis between the SESZ and the first three ranked factors was also made which together proves the accuracy of the model. KeywordsFuzzy AHP • Soil erosion-susceptible zone (SESZ) • Receiver operating characteristics curve (ROC) • Area under the curve (AUC)

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“…Hydro geomorphology was used by authors such as József (1999); Sankar (2002); Sikdar, Chakraborty, Adhya, and Paul ( 2004); Gopinath and Seralathan (2004); (Sujarose & Krishnan, 2009); Murugesan, Krishnaraj, Kannusamy, Selvaraj, and Subramanya (2011) to delineate water potential areas. The predominant terrain in the study region is plains, as shown by Pediplain and hills.…”

Section: Geomorphologymentioning

confidence: 99%

Demarcation of Groundwater Potential Zones Using Geospatial Technology in Edappadi Block, Salem District, Tamil Nadu, India

Santhosh¹,

Venugopal²

2021

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Groundwater is one of the world's most valuable resources, which contributes 85% of drinking water supplies. It is imperative to explore ground-water zone for the utilization to the people. Edappadi block in Salem District, Tamil Nadu, is rocky terrain largely depends on groundwater for drinking and irrigation. One of the most useful tools for locating ground water potential zones is remote sensing and geographic information system (GIS). Different types of thematic maps, such as lithology, geomorphology, drainage density, slope, lineament, and land use/land cover, can be easily created by visual interpretation of IRS-1C, LISS-III data and maps are prepared using GIS. The water potential zones are determined using a rank and weightage approach. In order to demarcate the water potential zones, the vector overlay method is used. Lithology is given more weight than geomorphology, followed by lineament density, lineament frequency, lineament intersection, slope and land use/land cover. Based on the overall results, the potential zone of groundwater in the research region is divided into five groups: Excellent, Very Good, Good, Moderate, and Poor.

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Identification of groundwater prospective zones using irs-id liss iii and pump test methods

Cited by 21 publications

References 15 publications

Identification of Groundwater Potential Zones Using Remote Sensing and GIS Techniques: A Case Study of the Shatt Al-Arab Basin

Identification of Groundwater Potential Zones Using Remote Sensing and GIS Techniques: A Case Study of the Shatt Al-Arab Basin

Modelling soil erosion risk of a tropical plateau basin to identify priority areas for conservation

Demarcation of Groundwater Potential Zones Using Geospatial Technology in Edappadi Block, Salem District, Tamil Nadu, India

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