Poorly developed regions in the Gaza Strip, Palestine, face significant risks to public safety, the environment, and stormwater infrastructure due to soil erosion and deposition. This study is the first of its kind to investigate soil erosion in this area. A revised universal soil loss equation (RUSLE) model was utilized and validated using field measurements of accumulated sediments at three major stormwater detention basins from 2014 to 2020. High-resolution maps were created to capture the urbanization effect and to further improve the future prediction of urbanization. The findings revealed that the highest potential for sediment generation in the Gaza governorate occurred over the slopes of the eastern ridge, which drain toward the city center. Sediment generation ranged from 1784 to 4281 ton/ha for the years of 2018 and 2020, respectively. The average sediment delivery ratio (SDR) was calculated to be 0.00134. The estimations for sediment export ranged from 0 to 135.3 ton/ha for the year 2020, with an average of 0.0737 ton/ha. The urban areas exhibited the least sediment export rate; however, the model revealed abnormal behavior for a dataset of the field measurements which was ascribed to the impact of destruction/reconstruction activities in the corresponded watersheds that followed the war in 2014. This conducted research stands as a pioneering effort in quantifying and cartographically representing sediment erosion potential within the Gaza Strip. Thus, it serves as an indispensable point of reference for future researchers in terms of the employed parameterization and calibration methodology. Furthermore, it holds distinct significance as an unparalleled resource for experts and stakeholders who are invested in comprehending the ramifications of erosion on urban landscapes and drainage systems.

HIGHLIGHTS. Drought is a dominant climate changes consequences in the Mediterranean zone.

The Gaza Strip in general, and the Islamic University of Gaza (IUG) in particular, are plagued by a lack of parking places, a lack of management and efficient usage of parking spaces, and illegal vehicle parking. This resulted in lost time and effort, besides traffic congestion. The study's goal is to provide a plan for implementing a Smart Parking System, which manages the parking spots on the IUG campus. To accomplish this goal, the researchers have identified the parking problems that face drivers at IUG, and then they have studied the impact of implementing the Smart Parking System. Researchers have used questionnaires to collect the raw data as one of the important tools in the field of survey. The data were analyzed using the Statistical Package for the Social Sciences (SPSS), as a useful tool for statistical analysis. The first results was the number of parking spaces is 300, which is greater than the number of potential vehicles occupying the university parking spaces at peak hours. Therefore, the issue is not the number of parking places, but how they are used. The result of the questionnaire presents that a large majority of respondents agreed that the IUG campus suffers from a lack of parking spaces, especially in rush hour from 8-10 am. The results indicate that 65.7% of the respondents park their cars near their workplace/study at the campus parking spaces, and 72.6% of the respondents do not use parking spaces with modern technology before. While 92.6% of the respondents encourage parking with modern technologies. Smart Parking System has assisted to resolve the issue of locating a parking spot on the IUG campus, resulting in less traffic congestion and a better flow of traffic. The Smart Parking System can be applied to all of the IUG's parking spaces and in the Gaza strip cities in the future

In the era of smart cities and the Internet of Things (IoT), technology has significantly enhanced disaster management, enabling more effective mitigation of its impacts. This paper aims to develop a smart system and application for managing various types of disasters. The study employs multiple research approaches, including descriptive, analytical, deductive, and decision-making methodologies, to achieve its objectives. The proposed system integrates smart technologies such as IoT, real-time data processing, and Geographic Information System layers to improve disaster response efficiency. This smart system and application can assist cities and municipalities in managing different disasters, including floods, conflicts, and pandemics, as well as optimizing routine municipal operations such as waste management and infrastructure maintenance.