Watersheds prioritisation using remote sensing techniques—a case study of the Mahbubnagar district, Andhra Pradesh, India

Prasad, K.; Gopi, S.; Rao, R. S.

doi:10.1080/01431169308904438

Cited by 14 publications

(2 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Reduction of surface runoff can be achieved by constructing suitable structures or by making changes in land management. Microwatershed (watershed area < 5 km 2 ) development approach calls for a detailed understanding and analysis of various rainfall-runoff model related parameters such as land use, hydraulic properties of the soil, soil moisture, slope, rainfall intensity and lithology (Prasad et al 1993;Yusof et al 2000;Cosh et al 2004).…”

Section: Introductionmentioning

confidence: 99%

SCS-CN and GIS-based approach for identifying potential water harvesting sites in the Kali Watershed, Mahi River Basin, India

2009

View full text Add to dashboard Cite

The Kali sub-watershed is situated in the semi-arid region of Gujarat, India and forms a part of the Mahi River Watershed. This watershed receives an average annual rainfall of 900 mm mainly between July and September. Due to high runoff potential, evapo-transpiration and poor infiltration, drought like situation prevails in this area from December to June almost every year. In this paper, augmentation of water resource is proposed by construction of runoff harvesting structures like check dam, percolation pond, farm pond, well and subsurface dyke. The site suitability for different water harvesting structures is determined by considering spatially varying parameters like runoff potential, slope, fracture pattern and micro-watershed area. GIS is utilised as a tool to store, analyse and integrate spatial and attribute information pertaining to runoff, slope, drainage and fracture. The runoff derived by SCS-CN method is a function of runoff potential which can be expressed in terms of runoff coefficient (ratio between the runoff and rainfall) which can be classified into three classes, viz., high (> 40%), moderate (20-40%) and low (< 20%). In addition to IMSD, FAO specifications for water harvesting/recharging structures, parameters such as effective storage, rock mass permeability are herein considered to augment effective storage. Using the overlay and decision tree concepts in GIS, potential water harvesting sites are identified. The derived sites are field investigated for suitability and implementation. In all, the accuracy of the site selection at implementation level varies from 80-100%.

show abstract

Section: Introductionmentioning

confidence: 99%

SCS-CN and GIS-based approach for identifying potential water harvesting sites in the Kali Watershed, Mahi River Basin, India

2009

View full text Add to dashboard Cite

show abstract

“…Tank irrigation is profitable, particularly to small farmers [ Palanisami and Meinzen‐Dick , 2001; Balasubramanian and Selvaraj , 2003], and its sustainability in India is reflected in its 2000‐year history [ Gunnell et al , 2007]. These reservoirs are widespread in the states of Andhra Pradesh [ Prasad et al , 1993; Rao et al , 1993; Rao and Chakraborti , 2000], Tamil Nadu, and Karnataka [ Palanisami and Meinzen‐Dick , 2001]. In Tamil Nadu, ∼39,000 tanks command ∼30% of the total irrigated land area [ Anbumozhi et al , 2001; Ranganathan and Palanisami , 2004], but this ratio has been declining in the last 25 years because of a range of socioeconomic causes broadly related to demographic pressure, the decline of surface water as a common property resource, extended periods of drought [ Gunnell et al , 2007], and, more generally, poor governance [ Mosse , 1997; Palanisami and Meinzen‐Dick , 2001; Sakurai and Palanisami , 2001; Balasubramanian and Selvaraj , 2003; Sharma , 2003; Kajisa et al , 2004].…”

Section: Introductionmentioning

confidence: 99%

Synoptic assessment of water resource variability in reservoirs by remote sensing: General approach and application to the runoff harvesting systems of south India

Mialhe

Gunnell

Méring

2008

Water Resources Research

View full text Add to dashboard Cite

[1] This paper presents a methodological procedure based on remote sensing and image analysis techniques designed to map and quantify water stocks in small irrigation reservoirs over vast, user-defined regions. Because the method is based on unsupervised pixel classification schemes, it is analytically transparent and entirely replicable and can therefore be used in most settings as a tool for integrated water resource management, planning, or policy making, with benefits to irrigation, land use, agriculture, and water-related social issues. Satellite images of semiarid south India are used here to quantify fluctuating water volumes in $2500 reservoirs. In this pilot study, the detection of temporal trends and spatial discontinuities in land use at successive dates within reservoir beds is a proxy for assessing the performance of reservoirs and for formulating hypotheses on the environmental, socioeconomic, or anthropological reasons behind the inferred levels of infrastructural maintenance or disuse. The synoptic approach paves the way for future efforts as better ground truth data become available.Citation: Mialhe, F., Y. Gunnell, and C. Mering (2008), Synoptic assessment of water resource variability in reservoirs by remote sensing: General approach and application to the runoff harvesting systems of south India, Water Resour. Res., 44, W05411,

show abstract

Geospatial Techniques for Soil Erosion-Based Watershed Prioritisation: A Review

Makhdumi,

Suragamallika,

Shwetha

et al. 2024

Lecture Notes in Civil Engineering

View full text Add to dashboard Cite

Watersheds prioritisation using remote sensing techniques—a case study of the Mahbubnagar district, Andhra Pradesh, India

Cited by 14 publications

References 1 publication

SCS-CN and GIS-based approach for identifying potential water harvesting sites in the Kali Watershed, Mahi River Basin, India

SCS-CN and GIS-based approach for identifying potential water harvesting sites in the Kali Watershed, Mahi River Basin, India

Synoptic assessment of water resource variability in reservoirs by remote sensing: General approach and application to the runoff harvesting systems of south India

Geospatial Techniques for Soil Erosion-Based Watershed Prioritisation: A Review

Contact Info

Product

Resources

About