Identification of morphogenetic regions and respective geomorphic processes: a GIS approach

Doke, Arjun; Pardeshi, Sudhakar D.; Pardeshi, Suchitra S; Das, Sumit

doi:10.1007/s12517-017-3358-5

Cited by 22 publications

(7 citation statements)

References 21 publications

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“…Pravara basin shows semi-arid climatic condition due to its geographical location. Western Ghat stays as a barrier of south-west monsoon to enter into the intercontinental part (Doke et al 2018). Therefore, the study area shows semiarid characteristics during the non-monsoon period of a year (October-May).…”

Section: Study Areamentioning

confidence: 97%

“…Almost no rainfall occurs for the period of January-May, and during this time severe water resource scarcity occurs in the study area due to lack of water availability. Western section of the Pravara basin shows higher annual rainfall due to the south-west monsoon which brings high amount of water vapour in this area and creates orographic rainfall (Doke et al 2018). The eastern part of the Pravara basin experiences very low amount of rainfall because after orographic rainfall in west, very little amount of water vapour remains in the atmosphere (Kumari et al 2017c, d).…”

Section: Rainfallmentioning

confidence: 99%

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Integration of different influencing factors in GIS to delineate groundwater potential areas using IF and FR techniques: a study of Pravara basin, Maharashtra, India

2018

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In the present days, remote sensing and geographic information system (GIS) techniques are comprehensive tools for the assessment of water resource, its management and conservation. In this study, remote sensing and GIS techniques are taken into consideration for zonation of different groundwater prospects of Pravara basin. Several contributing factors in which groundwater potential of an area entirely or partially depends such as lithology, geomorphology, slope, soil, lineament density, drainage density, land use and rainfall are assessed individually as well as together for making the different groundwater prospect maps through influencing factor (IF) and frequency ratio (FR) techniques. In ArcGIS software, all these thematic layers are prepared using different satellite imageries and conventional data sets, obtained from different sources. All these layers are transformed into high-resolution raster format and meshed together in GIS environment using IF and FR methods. Groundwater prospect maps are constructed as a result of overlay analysis. Based on the constructed map of groundwater prospect zones, as a result of this study, the study area is divided into five categories of different groundwater potential zones: very high, high, moderate, low and very low. Validation of the resultant maps has shown that frequency ratio technique is having higher accuracy (AUC = 73%) compared to the influencing factors (AUC = 69%). The present study of groundwater zonation provides a simple and less time-consuming technique; also, the results can directly be used for planning and sustainable management in Pravara basin.

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Section: Study Areamentioning

confidence: 97%

Section: Rainfallmentioning

confidence: 99%

Integration of different influencing factors in GIS to delineate groundwater potential areas using IF and FR techniques: a study of Pravara basin, Maharashtra, India

2018

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“…For the soil weathering analysis, the degree of soil weathering was classified by the Peltier method for the temperature and precipitation data downloaded from WorldClim (https:// www.worldclim.org/) [21,22].…”

Section: Plos Onementioning

confidence: 99%

Hierarchical landform delineation for the habitats of biological communities on the Korean Peninsula

2021

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Landforms determine the locations of particular biological communities based on their components and spatial positions. This study hierarchically classified the topographic spaces serving as habitats for biological communities in the Korean Peninsula and established the habitat types that occur on the classified landform types. We classified landform types by applying cell-based modeling, map algebra, and spatial query techniques to spatial data, including digital elevation model (DEM), Sentinel 2 image, land use, and field survey data to model their ecological characteristics. Landforms were classified into four categories (designated Category 1 through 4) according to their spatial scale based on topographical characteristics such as mountains, plains, alluvial landforms, coastal landforms, islands, and special areas (Baekdudaegan, DMZ), which are found throughout the Korean Peninsula. The landforms of the Korean Peninsula were classified into 47 subcategories in Category 1, 16 in Category 2, 36 in Category 3, and 63 in Category 4. There were 62 main types of habitats that were classified based on their topographic spatial units, and there were 437 types of sub-habitats, for which soil weathering, biodiversity, and geodiversity were combined with the main habitat types. When factor analysis was conducted for the environmental factors used to determine the main and sub-habitats, the first primary components were temperature-related factors, followed by biodiversity, geodiversity, aspect, and slope. When the indicator species were analyzed by habitat type, indicator species diversity was high in Jeju Province, Gangwon Province, and Gaema Plateau. Based on these results, landform elements for species habit conservation were assigned conservation values and classified into (I) absolute conservation areas, (II) transition areas, and (III) areas for coexistence with humans. Topographic spaces are being degraded as biological habitats as a result of climate change and human development; our proposed classifications can be applied to the conservation of landforms and biodiversity.

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“…The study area is located in monsoon climatic region where rainfall can only be seen in monsoon months (June-Sept), rest of the times the region shows dry climatic condition (Doke et al 2018). Although the region remains dry during the non-monsoon period still, the area is having mean Fig.…”

Section: Study Areamentioning

confidence: 99%

Morphometric analysis of Vaitarna and Ulhas river basins, Maharashtra, India: using geospatial techniques

Das

Pardeshi

2018

Appl Water Sci

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Drainage network quantification with respect to the climate, tectonics, lithology and geomorphology provides significant evidence of the drainage development, hydro-geomorphic and denudation characteristics of an area. The present study was carried out by using Shuttle Radar Topographic Mission DEM to study the drainage morphometry and its influence on the hydrological characteristics of Vaitarna and Ulhas basins in Maharashtra, India. Results of the morphometric analysis reveal that the catchment of Vaitarna and Ulhas can be described as of 6th and 7th order drainage basins, encompassing an area of 3795 and 4733 km 2 , respectively. Additionally, Vaitarna basin is characterised by relatively higher mean bifurcation ratio as compared to the Ulhas basin, indicative of higher structural control and steeper gradient in Vaitarna basin. Lower drainage density and stream frequency affirm availability of permeable sub-surface material and homogeneous lithological characteristics in both basins. The shape parameters show both basins are semicircular with dendritic and sub-dendritic drainage pattern. The relief parameters of Vaitarna and Ulhas suggest both of these basins are characterised by very high relief and steep slope. GIS-based analysis of all these morphometric parameters indicates the drainage development of the study area progressed well beyond maturity stage and lithology have a major impact on the drainage development in Vaitarna and Ulhas basins.

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Identification of morphogenetic regions and respective geomorphic processes: a GIS approach

Cited by 22 publications

References 21 publications

Integration of different influencing factors in GIS to delineate groundwater potential areas using IF and FR techniques: a study of Pravara basin, Maharashtra, India

Integration of different influencing factors in GIS to delineate groundwater potential areas using IF and FR techniques: a study of Pravara basin, Maharashtra, India

Hierarchical landform delineation for the habitats of biological communities on the Korean Peninsula

Morphometric analysis of Vaitarna and Ulhas river basins, Maharashtra, India: using geospatial techniques

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