Sub watershed characterization and prioritization using geoinformatics for natural resources management

Kumar, Love; Khalkho, Dhiraj; Pandey, Vinay Kumar; Tripathi, M.P.; Singh, Prashant

doi:10.5958/2455-7145.2019.00049.3

Cited by 4 publications

(5 citation statements)

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“…Nevertheless, management interventions from the highest priority micro-watershed available should always be initiated [27]. Watershed prioritization is the ranking of different micro-watersheds of a watershed according to the order in which they have to be addressed with treatment and soil conservation measures [28]. The lowest-ranking micro-basin has the highest erosion risk and is urgently recommended for conservation measures [29].…”

Section: Introductionmentioning

confidence: 99%

Prioritization of Watershed Using Remote Sensing and Geographic Information System

et al. 2021

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Soil erosion is becoming a major concern at the watershed scale for the environment, natural resources, and sustainable resource management. Therefore, the estimation of soil loss through this phenomenon and the identification of critical soil erosion-prone areas are considered to be key tasks in the soil conservation programme for the design and implementation of best management practices for specific regions or areas. In the present study, revised universal soil loss equation (RUSLE) modelling is combined with remote sensing (RS) and geographical information system (GIS) techniques and used to predict soil erosion and the prioritization of watersheds in Nainital district Uttarakhand, India. For the estimation of soil loss, different factors, namely, rainfall-runoff erosivity (R) factor, soil erodability (K) factor, slope length steepness (LS) factor, cover management (C) factor, and the erosion control practices (P) factor were computed. The data on various other aspects such as land use/land cover (LU/LC), the digital elevation model (DEM), slope, contours, drainage network, soil texture, organic matter, and rainfall were integrated to prepare a database for the RUSLE equation by employing ENVI & QGIS software. The results showed that a major portion (70.26%) of Nainital district is covered with forest, followed by area under fallow and agricultural land. Annual average soil loss ranged between 20 to 80 t ha−1 yr−1 in the study area. Out of 50 watersheds in the study area, 7 watersheds were given top priority for conserving natural resources, while 11 watersheds, mostly in the east-central part of Nainital, were kept under the next priority category. Only 4 watersheds of the total were given lowest priority. Moreover, it was concluded that major portions of Nainital district were in a severely prone category of soil erosion, and therefore required immediate action plans to check soil erosion and evade the possibility of landslides.

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Section: Introductionmentioning

confidence: 99%

Prioritization of Watershed Using Remote Sensing and Geographic Information System

et al. 2021

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“…Watersheds are the basic unit of Earth's terrestrial systems [18]. DEM is one of the important sources in the extraction of watersheds and river networks [26,30]. The integrated spatial zoning method based on DEM data for coastal watershed-nearshore waters constructed in this study may be the most convenient method for determining the coastal basin range, which solves the problem of determining the research scope of coastal land areas in coastal zone planning.…”

Section: Discussionmentioning

confidence: 99%

“…Using the coastline as the correlation line between the coastal watershed and nearshore waters, the coastal zone is divided into several integrated spatial zoning units of coastal watershed-nearshore waters. With the wide application of geographic information system (GIS) technology [25][26][27], the extraction of two geomorphological features of watershed boundaries and river networks from Digital Elevation Model (DEM) data enhances the process of identifying the land-sea integrated spatial zoning of coastal zones [28][29][30][31]. Because ArcGIS software has been widely used worldwide due to its powerful functions, it meets the data processing needs of this study.…”

Section: Introductionmentioning

confidence: 99%

Integrated Zoning and Spatial Heterogeneity of Coastal Watershed-Nearshore Waters

2023

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Integrated land-sea development and protection are important for the sustainable development of coastal areas. To promote the transition from separate land-sea management to integrated land-sea governance, the scientific delineation of the integrated spatial zoning units of coastal watershed-nearshore waters is an important tool for integrated land-sea management. From the perspective of physical geography, this study uses digital hydrological analysis based on DEM data to determine the coastal basin range and generate multilevel watersheds and river networks using different thresholds, and establishes spatial correspondence among physical geospatial spaces, such as watershed zones, coastlines, and nearshore waters, after considering the boundaries of major estuaries and bays. On this basis, the coastal zone is divided into several integrated spatial zoning units of coastal watershed-nearshore waters, and a physical geography-based integrated spatial zoning method is developed to form a physical geography-based land-sea integrated spatial zoning scheme. This study conducted spatial heterogeneity research of the integrated spatial zoning units, from the perspectives of topography analysis, land use analysis, socioeconomic analysis of the watershed, sea use analysis, seawater quality analysis of the nearshore waters, and load pressure analysis of the watershed-nearshore waters. The elemental differences of zoning units are studied in detail, which can provide a data reference for establishing the relationship between watersheds and nearshore waters. Applying this research method to the Guangxi Zhuang Autonomous Region in China, where the land-sea linkage pattern is forming, can provide a spatial reference and scientific basis for land-sea integrated management for ecological protection and sustainable resource utilization in the coastal zone.

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“…The basic units for the management of land and water resources include drainage basins, catchments, and sub-catchments (Moore et al, 1991). Watersheds are natural hydrologic bodies that extend over a finite area of land from which rainwater flows to a defined gully, river, or stream at any specific point (Kumar & Kumar, 2011). Watershed prioritization may be described as the process of identifying environmentally stressed sub-watersheds or pockets, for taking steps for soil conservation on a priority basis.…”

Section: Introductionmentioning

confidence: 99%

Prioritization of sub-watersheds of the Kanakapura Watershed in the Arkavathi River Basin, Karnataka, India- using Remote sensing and GIS

Govindaiah

Srikanth

et al. 2020

Geology, Ecology, and Landscapes

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Sub watershed characterization and prioritization using geoinformatics for natural resources management

Cited by 4 publications

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Prioritization of Watershed Using Remote Sensing and Geographic Information System

Prioritization of Watershed Using Remote Sensing and Geographic Information System

Integrated Zoning and Spatial Heterogeneity of Coastal Watershed-Nearshore Waters

Prioritization of sub-watersheds of the Kanakapura Watershed in the Arkavathi River Basin, Karnataka, India- using Remote sensing and GIS

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