Rainwater harvesting (RWH) is an alternative technique to potentially overcome the increasing need for water. However, identifying suitable sites for RWH remains a complex task. The present study offers an approach that can enable water managers to use the Water and Tillage Erosion Model and Sediment Delivery Model (WaTEM/SEDEM) as a spatially soil erosion and sediment delivery model, Geographic Information System (GIS) and Fuzzy Analytical Hierarchy Process (FAHP) method to identify potential RWH sites. For this purpose, several data sources were employed to generate needful thematic layers. Five criteria: land use/land cover (LULC), slope, soil texture, drainage density and runoff were used. The Soil Conservation Service-Curve Number (SCS-CN) method was utilized for preparing a yearly runoff potential map. Then, the thematic layers were weighted for generating RWH suitability map. The results show that the average annual runoff is 248 mm. Moreover, approximatly 76.1% of the study area falls within slight soil erosion class. The classified RWH suitability map showed that 6.9% of the watershed falls within an extremely suitable category. Prediction accuracy of the developed map of RWH suitability showed an area under the curve value (AUC) of 59.6% for FAHP method in this study. It is concluded that involving a spatial soil erosion and sediment delivery model with GIS-based FAHP represents a valuable approach for locating suitable RWH sites. So, this method can be used in other parts of the world.

Landslides have become a destructive geo-hazard in many countries, which seriously cause damage to the human lives, infrastructure and properties. They result from the movement of soil on unstable slopes in mountainous areas. This caught attention to study the increasing incidences of landslides in many areas including Morocco. In this study, the fuzzy logic and analytical hierarchy process (FAHP) integrated with the geographic information system (GIS) are used to determinate the landslide susceptibility modeling in the Ziz upper watershed, southeast Morocco. The geo-environmental data that were used in the landslide susceptibility mapping (LSM) included: elevation, lithology, slope, land use/land cover (LULC), river, road, fault, and rainfall maps. FAHP model showed that 16.7% of the study area had high landslide susceptibility. However, the riskiest areas are situated in the upstream western parts. The resultant map of landslides hazards was validated using an inventory of 148 landslides events in the study area. The FAHP model showed a significant performance, the area under curve (AUC) value for this case study is 0.885.