The most critical issue that was the main research interest is its groundwater quality which is vital for public health concerns. Groundwater is a significant worldwide water supply for diverse communities, especially in dryland regions. Groundwater quality assessment in desert systems is largely hindered by the lack of hydrological data and the remote location of desert Oases. This study provides a preliminary understanding of the influences of climate, land usage, and population growth on the groundwater quality in El-Farafra Oasis in the Western Desert in Egypt from 2000 to now. Therefore, the study’s main objective was to determine the extent of change in temporal water quality and the factors causing it. The present study integrates chemical analyses and geospatial modeling better to assess groundwater quality in the study area. A chemical analysis of thirty-one groundwater samples from wells representing each study area was carried out during three time periods (2000, 2010, and 2022). Several chemical properties of groundwater samples gathered from wells in the research area were analyzed. Furthermore, the groundwater quality trend from 2000 to the present was identified using three approaches: Wilcox and Schoeller Diagram in Aq.QA software, interpolation in the ArcGIS software, and Ground Water Quality Index (GWQI). Moreover, the influence of changing land usage on groundwater quality was studied, and it was found that the increase in agriculture and urbanization areas is linked to groundwater quality degradation. The findings revealed that the barren area in 2000, 2010, and 2022 was 371.7, 362.0, and 343.2 km², respectively, which indicates a substantial decrease of 6.2% within this research timeframe. In contrast, agriculture and human-made structures have expanded by 1.8%. Also, population growth has led to an increase in water consumption as the population has grown at a rate of 7.52% annually from 2000 to 2020. As the climatic condition increases from 2000 to 2022, these changes could extend to the water quality in shallow aquifers with increasing evaporation. Based on the water quality spatial model, it is found that, despite a declining tendency in the rate of precipitation and an expansion in agricultural areas and population growth, the water quality was still appropriate for human and farming consumption in large areas of the study area. The presented approach is applicable to the assessment of groundwater in desert regions in the Middle East area.

Heritage is considered a pillar of civilized cultural identity and an important income resource. Climate change is one of the main threats to cultural heritage as fragile buildings are highly vulnerable to its impacts, as a result, many world heritage sites, unfortunately, have been lost. This study used Remote Sensing (RS) and Geographic Information Systems (GIS) to develop risk maps that determine spatial environmental changes regarding climatic parameters. The study used satellite images to analyze changes over 20 years for three climatic factors: temperature, humidity, and precipitation patterns. The average rate of change for each indicator was developed by comparing each month over 20 years. Three sub-models classifying changes for the selected factors were created, while the climatology model integrated the three sub-models with equal weights to assess the most vulnerable World Heritage sites. The vulnerable sites were classified into five categories, from less risk to the riskier. The study showed that most of Saudi’s Heritage sites are in the moderate-risk area. The study achieved the sustainable development goals (SDGs), particularly SDG 11 and SDG 13. This paper supports decision-makers to preserve heritage sustainably and to create proactive plans for it.

Spatial equity in the delivery of educational services is a critical element in creating healthful and joyful living circumstances in cities. The spatial distribution of public elementary and middle schools for girls in El-Taif city was investigated in this study using a variety of tools. Mean Center, Central Feature, Standard Distance, Directional Distribution, Point Density, Kernel Density, Nearest Neighbor Analysis, Ripley’s K Function, Moran Index, Buffer Zone, and Hotspot analysis are spatial techniques in Geographic Information Systems, which were used to analyze and show the spatial distribution of current public elementary and middle schools for females. Furthermore, the sufficiency and/or shortage of elementary and middle schools according to the criteria of the Ministry of Municipal and Rural Affairs (MOMRA) were studied to establish the regions with shortage or overcapacity. The findings reveal that the city’s population and public elementary and middle school numbers were not spread equally. Some districts had an overabundance and concentration of elementary and middle schools, particularly in older, fully developed, and densely inhabited districts, while most new north and eastern districts had a scarcity of schools. Furthermore, half of the districts lack public elementary and middle schools. Consequently, the study finished by developing a spatial equality priority model for public elementary and middle schools to find and highlight problem areas that require future corrective action and are a priority for spatial equality. In order to contribute to achieving goal 4 of the UN-Habitat Sustainable Development Goals, which aims to “ensure inclusive and equitable quality education and promote lifelong learning opportunities for all”, the model recommended that decision-makers supply elementary schools and middle schools in districts where a shortage was present and improve the equal distribution of elementary schools around the city.

Climate change is becoming one of the main threats to fishery resources, with the attendant possibilities of decreasing income and food security. Sea surface temperature (SST) is considered a major environmental indicator of climate change, one that impacts the marine ecosystem and habitat. Studying the impacts of SST changes necessitates regular effective monitoring; remote sensing techniques provide researchers with the ability to track changes on various spatial and temporal scales. This study provides an integrated approach, using the advantages of remote sensing data and GIS tools, to assess the SST changes in the spatial potential aggregation zones of Plectropomus pessuliferus marisrubri and Plectropomus areolatus along the Red Sea’s Saudi coast. This study used SST satellite data for 2011 and 2021 to detect changes and develop suitability and risk assessment maps. The SST showed an increase of 0.46 °C from 2011 to 2021, particularly during the summer months. As a result, the suitability of spatial potential aggregation from 2011 to 2021 has dropped in the summer months. The risk assessment analysis revealed a decrease in the suitable potential aggregation zones in the summer months, as it reached about −35.7% in August, while it increased in the winter months, reaching +2.52% in January.