Integrated remote sensing and GIS study for hydrogeomorphological mapping and delineation of groundwater potential zones in Khallikote block, Ganjam district, Orissa

Mohanty, Chitta Ranjan; Behera, S. C.

doi:10.1007/s12524-010-0023-9

Cited by 22 publications

(9 citation statements)

References 4 publications

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“…The areas of high D d are not suitable for groundwater development because of high surface runoff. Therefore, lesser the D d , higher is the probability of recharge or potential groundwater zones (Mohanty and Behera, 2010;Srinivas et al, 2008). D d values of the M-P Basin range from 1.06 (SB-V) to 2.24 (SB-III) km/km 2 , with an average of 1.57 km/km 2 (Table 5).…”

Section: Areal Aspectsmentioning

confidence: 99%

Basin geomorphology and drainage morphometry parameters used as indicators for groundwater prospect: Insight from geographical information system (GIS) technique

2014

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Influence of structural and lithological controls of various drainage patterns and their stream orientations (for 2nd, 3rd and 4th order steams) were identified to evaluate the direction and controlling factors of drainage network. To investigate the prospect of groundwater, hydrogeomorphological features of river basin viz. Mulki-Pavanje were identified and mapped. To evaluate the characteristics of the basin, different morphometric parameters (linear, areal and relief) were computed in sub-basin wise (SB-I to -VII). The linear parameters suggest drainage network is controlled by geomorphology. The form factor (F f ), elongation ratio (R e ) and circularity ratio (R c ) suggest that the basin is in an elongated shape. The drainage density (D d ) indicates resistant/permeable strata under medium-dense vegetation with moderate relief. The areal parameters of the sub-basins (except SB-I and III) indicates moderate ground-slopes associated with moderately permeable rocks, which promote moderate run-off and infiltration. Drainage texture (T) of the whole basin indicates coarse texture while the SB-I, and III showing an intermediate texture. The relief parameters namely ruggedness number (R n ) infers low basin relief and poor drainage density.To identify the most deficit/surplus zones of groundwater suitable weightages were assigned to the hydrogeomorphological units and morphometric parameters. The study reveal that the basin manifest that SB-III shall be most deficit zone of groundwater, whereas SB-VII, VI and V are found to show increase in groundwater potentiality. Groundwater prospect area in this basin is estimated to be 7% area under poor, 44% area under moderate and 49% area under good to excellent. This paper demonstrated the potential application of geographical information system (GIS) techniques to evaluate the groundwater prospect in absence of traditional groundwater monitoring data.

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Section: Areal Aspectsmentioning

confidence: 99%

Basin geomorphology and drainage morphometry parameters used as indicators for groundwater prospect: Insight from geographical information system (GIS) technique

2014

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“…AHP helps determine the numerical weights that represent the relative importance of various factors used for flood vulnerability models [5,6]. This study uses the SMCE method because this method is a type of supporting method that combines GIS and AHP to identify and rank various variabels that indicate floodvulnerable areas [7].…”

Section: Introductionmentioning

confidence: 99%

Flood vulnerability mapping using the spatial multi-criteria evaluation (SMCE) method in the Minraleng Watershed, Maros Regency, South Sulawesi

et al. 2020

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This study focuses on the assessment of flood-vulnerable areas in the Minraleng watershed, Maros Regency, where the area experiences floods every year. Spatial analysis in the Geographic Information System (GIS) environment has been applied to estimate flood-vulnerable zones using six relevant physical factors, such as rainfall intensity, slope, Elevation, distance from the rivers, land use and soil type. The relative importance of physical factors has been compared in paired matrices to obtain weight values using the Spatial Multi-Criteria Evaluation (SMCE) method. The result showed that the areas located in Camba sub-district had the high vulnerability. The region with a high and very high vulnerability to flood were spread with an area of 436 ha (0,84 %) and 6.168 ha (11.8%).

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“…Ease of data handling and fast data processing qualify the RS/GIS methods as superior tools compared to the conventional approaches. Many researchers have carried out RS and GIS studies to infer the groundwater resources of different regions despite differences in climatic, topographical and geomorphological parameters (Mondal et al 2008;Mohanty and Behera 2010;Suganthi et al 2013;Senanayake et al 2016;Pinto et al 2017).…”

Section: Introductionmentioning

confidence: 99%

“…Das et al (1997) mapped hydrogeomorphology for groundwater exploration using RS data in Keonjhar district. Mohanty and Behera (2010) studied groundwater prospect in Ganjam district, Odisha, but so far no attempt has been made to use remotely derived data to study the groundwater potential of Sonepur district which falls under extreme climatic conditions. In this study, an attempt is made to delineate the groundwater prospect zones of Sonepur district using satellite and ancillary data.…”

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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Integrated remote sensing and GIS study for hydrogeomorphological mapping and delineation of groundwater potential zones in Khallikote block, Ganjam district, Orissa

Cited by 22 publications

References 4 publications

Basin geomorphology and drainage morphometry parameters used as indicators for groundwater prospect: Insight from geographical information system (GIS) technique

Basin geomorphology and drainage morphometry parameters used as indicators for groundwater prospect: Insight from geographical information system (GIS) technique

Flood vulnerability mapping using the spatial multi-criteria evaluation (SMCE) method in the Minraleng Watershed, Maros Regency, South Sulawesi

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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