Major
Environmental Engineering
Anticipated Graduation Year
2021
Access Type
Open Access
Abstract
Near the village of Marwa, Tanzania, cattle graze on vegetation along the shoreline of the Pangani River resulting in significant erosion thereby increasing flooding and spreading water-borne illnesses to the villagers’ primary freshwater source. The community, which has an estimated population of 2,500, has requested for an alternate location for the cattle to graze and water. The development of reservoirs upslope of the village that capture the surface runoff generated from the rangeland has been identified as a potential solution to be evaluated. Utilizing only remotely sensed data, we evaluate the feasibility and optimal locations for these reservoirs.
Community Partners
The Ohio State University
Faculty Mentors & Instructors
Gajan Sivandran, Clinical Assistant Professor, Loyola University Chicago Engineering
Supported By
Patrick Sours, Lecturer, The Ohio State University Department of Food, Agricultural and Biological Engineering; Michael Hagenberger, Associate Dean, The Ohio State University Department of Civil, Environmental and Geodetic Engineering
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
Utilizing Remote Sensing and Climate Predicted Precipitation Patterns to Drive Water Resource Infrastructure Investment Decisions: Marwa, Tanzania
Near the village of Marwa, Tanzania, cattle graze on vegetation along the shoreline of the Pangani River resulting in significant erosion thereby increasing flooding and spreading water-borne illnesses to the villagers’ primary freshwater source. The community, which has an estimated population of 2,500, has requested for an alternate location for the cattle to graze and water. The development of reservoirs upslope of the village that capture the surface runoff generated from the rangeland has been identified as a potential solution to be evaluated. Utilizing only remotely sensed data, we evaluate the feasibility and optimal locations for these reservoirs.