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Remote Sensing and Multi-criterion Analysis for Identifying Suitable Rainwater Harvesting Areas by Yalembrhan Debebe; Ralf Otterpohl; Zubairul Islam is a Earth and Planetary Sciences article available to read on EtoBox.
What is Remote Sensing and Multi-criterion Analysis for Identifying Suitable Rainwater Harvesting Areas about?
## Abstract Water scarcity and soil erosion are the main constraints small holder farmers are facing in Tigray, the northern most part of Ethiopia. Both very high and very low precipitation can cause a damage to agriculture which is the case in semi-arid regions like Tigray. While too little rainfall cannot support the growth of crops resulting in crop failure, the short but intense rainfall also causes a runoff thereby washing away essential soil nutrients. Installation of different micro/macro-catchment rainwater harvesting can address both water scarcity and soil erosion if they are properly designed prior to construction. This research was intended to develop a methodology for identifying suitable rainwater harvesting (rwh) sites by using weighted overlay analysis. It also utilizes Ahp (analytical hierarchy process) as effective multi-criterion decision-making tool in eastern Tigray at Kilte Awlaelo district on an area of 1001 km^2^. This method was chosen because it is simple to use, cost effective, flexible and widely adopted. Physical, hydrological, climate and socio-economic aspects were taken into account during criteria selection. The result indicated four suitability cla
Who reads Remote Sensing and Multi-criterion Analysis for Identifying Suitable Rainwater Harvesting Areas?
It is typically read by researchers, students, and practitioners in Earth and Planetary Sciences.
- Author
- Yalembrhan Debebe; Ralf Otterpohl; Zubairul Islam
- Publisher
- Springer Science and Business Media LLC
- Published
- 2022
- Language
- EN
- Field
- Earth and Planetary Sciences (Physical Sciences)
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