Start Date
16-8-2018 12:00 AM
Description
Safe water accessibility is a basic human right and an essential need for following a healthy lifestyle around the globe. Geographic Information Systems (GIS) can serve as a development tool that provides solutions to facilitate easier access to water well locations. However, several methodologies suggest different processes to identify the optimal locations for water wells while at least 1.8 billion people around the world use a fecally contaminated source of drinking water. Since this dilemma is still occurring in the eastern region of Africa, it was necessary to investigate the best practices used to discover locations for drilling wells based on experimental knowledge and updated datasets provided by World Vision. This research utilizes (GIS) to identify the best locations for drilling wells based on empirical knowledge. A web application was created to display the layers generated and to facilitate data access for users.
Recommended Citation
Caceres, Claudia and Osailan, Sarah, "Water Wells Site Selection in East Africa Using GIS Applications" (2018). AMCIS 2018 Proceedings. 33.
https://aisel.aisnet.org/amcis2018/DataScience/Presentations/33
Water Wells Site Selection in East Africa Using GIS Applications
Safe water accessibility is a basic human right and an essential need for following a healthy lifestyle around the globe. Geographic Information Systems (GIS) can serve as a development tool that provides solutions to facilitate easier access to water well locations. However, several methodologies suggest different processes to identify the optimal locations for water wells while at least 1.8 billion people around the world use a fecally contaminated source of drinking water. Since this dilemma is still occurring in the eastern region of Africa, it was necessary to investigate the best practices used to discover locations for drilling wells based on experimental knowledge and updated datasets provided by World Vision. This research utilizes (GIS) to identify the best locations for drilling wells based on empirical knowledge. A web application was created to display the layers generated and to facilitate data access for users.