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Assessment of Rainwater Harvesting Potentiality in the Blue Nile Basin Based on

Wasser - Abwasser - Umwelt, Band 46

Erschienen am 01.01.2022
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Bibliografische Daten
ISBN/EAN: 9783737609616
Sprache: Deutsch
Umfang: 324
Auflage: 1. Auflage

Beschreibung

The water scarcity problem can be generated, in many cases, as a result of undesirable intensity and distribution of rainfall patterns. Water scarcity is a common dilemma that faces arid and semi-arid regions (ASARs). In most ASARs around the world, farmers, especially those who rely on rainfed agriculture for their livelihood, are suffering from unstable climatic conditions. For instance, timing and distribution of rainfall, especially during dry periods. The noticeable increase in population coupled with decreased and erratic rains made it challenging to reduce the poverty rate in Sub-Saharan Africa. Furthermore, inefficient water management is considered to be one of the main reasons for the constancy of food insecurity in this area. This highlights the necessity to work on enhancing water availability levels and managing water resources more sustainably. Rainwater harvesting (RWH) is considered to be a potential option to increase water availability and improve food security. In many ASARs and water shortage areas, RWH is found to be an efficient approach to increase crop productivity, and guarantee agricultural sustainability. Moreover, it can help in mitigating the undesirable and negative impacts of change in rainfall patterns, spatially and temporally, which can result in forms of floods, drought, and landslides. Identifying suitable sites for RWH potentiality and proper RWH structures is crucial for the successful application of RWH. The Suitable RWH sites are determined by many biophysical and socio-economic criteria based on the targeted goals of the application. The lack of reliable ground data in developing countries is one of the main challenges for the successful implementation of RWH applications. Advanced technologies, such as Remote Sensing (RS) and satellite images (SI) offer an opportunity for a new data source to be used for RWH. Especially that data generated from these technologies offer many advantages such as good spatial coverage and diverse temporal resolutions. In addition, many of the