Please use this identifier to cite or link to this item: https://repository.iimb.ac.in/handle/2074/11246
Title: Every drop counts: unleashing the prospective locations for water harvesting using geospatial analytics
Authors: Gupta, Aparana 
Garg, Anshul 
Rawat, Namrata 
Chigurupati, Sandeep 
Dinesh Kumar, U 
Keywords: Ahp;Analytical Hierarchy Process;Digital Elevation Model;Flood Fill Model;Geospatial Analytics;Gis;Image Processing;Landsat-8;Rain Water Harvesting;Rwh Optimum Location Selection;Sliding Window Algorithm;Smart Water;Water Tanks
Issue Date: 2017
Publisher: Association for Computing Machinery
Related Publication: ACM International Conference Proceeding Series
Conference: IML 2017: International Conference on Internet of Things and Machine Learning: 17-18 October , 2017, Liverpool, United Kingdom 
Abstract: Water is at the heart of 'Sustainable Development Goals (SDGs)' set by United Nations - with an objective to balance the three dimensions of sustainable development: Environment, Social and Economic - and is indirectly associated with the success of all the other Goals. But, with changing climatic patterns, untimely rains, prolonged dry spells, depleting ground water and drought making every drop of water extremely precious, the need of the hour is to gauge and work towards the major aspects of water harvesting - 'Catchment'. Water Harvesting must be a key element of any strategy to bring an end to India's perennial swings between drought and flood and to meet the following SDGs for sustained development. This study presents a structured and meticulous approach, wielding 'Geospatial Analytics' to identify the prospective locations for Water Harvesting in arid and semi-arid parts of the country for sustainable development. This paper is structured as follows. Section 1 describes the background and motivation for this idea. Section 2 details out the objective. In section 3 we present the 'Literature Survey' on the work that has already been carried out in this field. While section 4 discerns our area of study, Section 5 provides process flow starting from Data gathering, Data extraction, Data pre-processing, Model selection and Multi Criteria Decision Making (Model Application). In Section 6, we present and validate our experimental results achieved using the proposed methodology. Section 7 concludes our study followed by Section 8 on Recommendations for future enhancements and next steps.
URI: https://repository.iimb.ac.in/handle/2074/11246
ISBN: 9781450352437
DOI: 10.1145/3109761.3158394
Appears in Collections:2010-2019 P

Show full item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.