Flood hazard mapping in western Iran: assessment of deep learning vis-à-vis machine learning models     

Satarzadeh  Eslam  Sarraf  Amirpouya  Hajikandi  Hooman  Sadeghian  Mohammad Sadegh 《Natural Hazards》2022,111(2):1355-1373

Natural Hazards - On March 25, 2019, widespread flood events occurred across Iran’s provinces and set a new record for socioeconomic losses and casualties. In hindsight, it opened an...  相似文献   

Potential impacts of climate change on groundwater levels on the Kerdi-Shirazi plain,Iran     

Mahtab Zamanirad  Hossein Sedghi  Amirpouya Sarraf  Ali Saremi  Payman Rezaee 《Environmental Earth Sciences》2018,77(11):415

It is important to predict how groundwater levels in an aquifer will respond to various climate change scenarios to effectively plan for how groundwater resources will be used in the future. Due to the overuse of groundwater resources and the multi-year drought in the Kerdi-Shirazi plain in Iran, some land subsidence and a drop in groundwater levels has taken place, and without active management, further degradation of the groundwater resource is possible under predicted future climate change scenarios in the country. To determine the potential impacts of climate change on groundwater levels in the region, the groundwater model GMS was coupled with the atmospheric circulation model HADCM3 using scenarios A1B, A2 and B1 for the period 2016–2030. The results of the climate modelling suggest that the Kerdi-Shirazi plain will experience an increase in minimum temperature and maximum temperature of, respectively, between 0.03 and 0.47, and 0.32–0.45 °C for this time period. The results of the groundwater modelling suggest that water levels on the Kerdi-Shirazi plain will continue to decline over the forecast period with decreases of 34.51, 36.57 and 33.58 m being predicted, respectively, for climate scenarios A1B, A2 and B1. Consequently, groundwater resources in the Kerdi-Shirazi plain will urgently need active management to minimize the effects of ongoing water level decline and to prevent saltwater intrusion and desertification in the region.  相似文献   

Modeling the Influence of Groundwater Exploitation on Land Subsidence Susceptibility Using Machine Learning Algorithms     

Zamanirad  Mahtab  Sarraf  Amirpouya  Sedghi  Hossein  Saremi  Ali  Rezaee  Payman 《Natural Resources Research》2020,29(2):1127-1141

Natural Resources Research - Groundwater over-exploitation in arid and semiarid environments has led to many land subsidence cases. Immense economic losses incurred from land subsidence occurrences...  相似文献