Integrated Water Resource Development Plan for Sustainable Management of Mayurakshi Watershed, India using Remote Sensing and GIS

Abstract

Integrated watershed management requires a host of inter-related information to be generated and studied in relation to each other. Remote sensing technique provides valuable and up-to-date spatial information on natural resources and physical terrain parameters. Geographical Information System (GIS) with its capability of integration and analysis of spatial, aspatial, multi-layered information obtained in a wide variety of formats both from remote sensing and other conventional sources has proved to be an effective tool in planning for watershed development. In this study, area and locale specific watershed development plans were generated for Mayurakshi watershed, India using remote sensing and GIS techniques. Adopting Integrated Mission for Sustainable Development (IMSD) guidelines, decision rules were framed. Using the overlay and decision tree concepts water resource development plan was generated. Indian Remote Sensing Satellite (IRS-1C), Linear Imaging Self Scanner (LISS-III) satellite data along with other field and collateral data on lithology, soil, slope, well inventory, fracture have been utilized for generating land use/land cover and hydro geomorphology of the study area, which are an essential prerequisites for water resources planning and development. Spatial data integration and analyses are carried out in GIS environment.

As Águas Subterrâneas na Gestão dos Recursos Hídricos na Bacia Hidrográfica do Rio Curu – CE

“…A ferramenta SIG tem sido utilizada na gestão dos recursos hídricos, conforme Chowdary et al (2009), Jha, Chowdhury e Chowdary (2007, sendo importante na identificação de atributos locacionais e por isso estratégico para o aumento da oferta e estratégias de preenchimento de vazios hídricos, ou seja, comunidades que não possuem acesso direto ao abastecimento convencional. mas alternativas de aumento da oferta hídrica.…”

Identification of artificial groundwater recharging zone using a GIS-based fuzzy logic approach: a case study in a coal mine area of the Damodar Valley, India

“…Recently, around the world, several researchers have used RS and GIS techniques for the evaluation of potential groundwater zones (Basavarajappa et al 2013;Chenini et al 2010;Dinesh Kumar et al 2007;Machiwal et al 2011;Machiwal and Singh, 2015;Magesh et al 2012;Sener et al 2005;Shaban et al 2006;Yeh et al 2009). In particular, a number of researchers have studied groundwater protection zones and the groundwater level in Jharkhand state in India with the help of RS and GIS techniques (Chandra et al 2015;Chowdary et al 2009;Rai et al 2005;Sharma and Kujur 2012;Srivastava et al 2012).…”

Demarcation of prospective groundwater recharge zones in hard rock area from Southern India

“…In order to implement artificial groundwater recharge, it is essential to delineate potential groundwater recharge zones. Conventionally piston-flow model (Zimmermann et al, 1967;Munnich, 1968;Gupta and Sharma, 1984;Athavale et al, 1992;Rangarajan and Athavale, 2000;Chaulya, 2004;Chand et al, 2005;Mondal et al, 2009;Rangarajan et al, 2009;Samadder et al, 2011), remote sensing (Saraf et al, 2004;Chowdary et al, 2009;Elewa and Qaddah, 2011), photogeological (Salama et al, 1994;Jackson, 2002), hydrogeological (Fetter, 2001;Scanlon et al, 2002;Nonner, 2006;Kumar et al, 2011) and geophysical methods (Shankar and Mohan, 2005;Maliva et al, 2009), 14 C-age dating (Bredenkamp and Vogel, 1970), entropy method (Mondal and Singh, 2010) and regional groundwater models (Sibanda et al, 2009) have been deployed to select favorable sites for implementation of artificial recharge schemes.…”