Adapting a hazards-risk model to water scarcity in rural India : Aurangabad case study

The objective of this project is to improve the responsiveness of District Planning to rural water scarcity in India. Through engagements with the Groundwater Survey Development Agency, and Maharashtra State Government Water Supply and Sanitation Department, we selected Aurangabad District to conduct field visits and develop a model that can spatially represent risk of villages to water scarcity. Within Aurangabad District, Vaijapur block was selected as a case study due to its drought effects and high water tanker usage in the past five years. This thesis develops a disaster risk metric for water scarcity, using an analysis of potential hazards, socioeconomic vulnerability, and policy responses to assign a "disaster risk score" to each village. Risk is seen as a function of hazard, vulnerability, and government capacity, so all three factors of risk are addressed. Villages are assigned a risk score in Vaijapur block of Aurangabad District By providing a risk score a season in advance of drought, planners are able to select an alternative capacity measures rather than the quickest tanker option. The aim of this research is to assist district governments in Maharashtra state in predicting, between one season to two years in advance, the risk of villages to drinking water scarcity in order to respond before incurring a drinking water crisis. Secondly, this model is used to prioritize infrastructure projects over the coming two years in order to best use limited financial resources to alleviate the burden of water scarcity at the village level. This research could ultimately be integrated into the existing state website for statewide planning and allocation of resources.

Department dc:contributor.department

Massachusetts Institute of Technology. Institute for Data, Systems, and Society.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2018

Author dc:creator

• Midstokke, Paige K

Advisor dc:contributor.advisor

• James L. Wescoat Jr.

• Institute for Data, Systems, and Society.
• Civil and Environmental Engineering.
• Engineering Systems Division.
• Technology and Policy Program.

Statement dc:rights

• MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/115693

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/115693