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

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.

Share

COinS
 

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.