A flash flood is the most common natural hazard that endangers people’s lives, the economy, and infrastructure. Watershed management and planning are essential for reducing flood damages, particularly in residential areas, and mapping flash flood-sensitive zones. Flash flooding is an interface dynamic between geoterrain system factors such as geology, geomorphology, soil, drainage density, slope, and flood, rather than only water movement from higher to lower elevation. Consequently, the vulnerability to flash floods necessitates an awareness of and mapping topographical features. A flash flood vulnerable zones (FFVZ) map is essential for thorough flash flood risk assessment and management to minimize its detrimental effects, particularly in residential areas, especially in cities like Fujairah with seven wadis flowing into the city and even though it has two main dams and fifteen breaker dams. So, in this work, eight satellite image-derived parameters rainfall, elevation, slope, land use/land cover (LULC), drainage density, geology, geomorphology, and soil were combined to predict the flash flood-vulnerable zones using a weighted overlay technique based on geographic information systems (GIS). Each element of the thematic maps is ranked and weighted according to how vulnerable it is to flash floods in the study area, with 55 km² being classified as a very highly vulnerable area, 78 km² as a high-risk area, 9.3 km² as a moderate risk area, 70 km² as a low vulnerable area, and 257 km² as a very low vulnerable area. In addition, places with a very high vulnerability level include the Fujairah Airport, Fujairah Port, some residential neighborhoods in the city’s center, oil storage areas, two hospitals, and universities. Additionally, from 1990 to the present, Landsat and Sentinel 2 data showed consistent changes in vegetation and built-up areas. Therefore, in addition to helping policy and decision-makers make the best choices about the efficacy of the study area’s protective structures against the risk of flash floods in the future, the results can also be a valuable source of information.

The introduction of exotic plant species in the UAE poses substantial environmental challenges. Both poorly and well-adapted species can be detrimental to the local ecosystem by outcompeting native species and disrupting ecosystems. Native plants play a critical role in maintaining the ecological balance of any region. In the United Arab Emirates (UAE), native plants face significant threats due to habitat loss, climate change, and invasive species. Despite their ecological importance and potential benefits, a comprehensive and accessible database of native plant species for the UAE is currently lacking. Our review paper aims to address this gap by presenting an in-depth analysis of the native plants in Fujairah and the UAE. Our work covers almost all the native plants reported to date, which have been verified and added to our database. We provide valuable insights into the type, nature, physiology, habitat types, and other key aspects of these native plants. By presenting this information in a comprehensive and accessible manner, we hope to facilitate efforts toward biodiversity conservation and sustainable ecosystem management in the UAE. To address this issue, we have developed UAE Flora: The Native Plants Database of Emirates. This Web-based, virtual database contains over 760 plants identified from more than 400 published articles, online resources, and books from national and international authors. Each entry in UAE Flora includes over 50 data fields representing various ecological, biological, and pharmacological properties that have been manually extracted from the literature. This review paper will serve as a valuable resource for researchers, policymakers, and the public interested in promoting the conservation of native plants in the UAE. Flora will serve as a plant data repository that is the first of its kind in the United Arab Emirates.

Honey is globally recognized for its substantial nutritional and therapeutic properties. However, its high market value makes it susceptible to counterfeiting, negatively impacting consumers and beekeepers. This paper presents a blockchain-based framework to monitor the honey trade supply chain, ensuring authenticity. The framework employs an oracle component to verify honey quality and origin using IoT data. Additionally, it integrates fungible and non-fungible tokens to track honey batches. The study evaluates the economic feasibility of this approach, demonstrating that the cost of performing a trade is less than USD 1, with the oracle component achieving an average accuracy rate of 90% in detecting falsified sensor data.

Air pollution is one of the biggest problems of this age, not only it contributes to climate change but also it has a negative effect on public and individual health due to rising morbidity and mortality. There are various contaminants that play a significant role in human disease. Numerous toxins are released into the environment as a result of anthropogenic activities including burning fossil fuels for transportation and electricity generation. In order to assist decision-makers in finding a long-term solution for improving environmental quality and population health status, NO2 pollution monitoring and regulation is an essential task. Based on data acquired from Sentinel-5P, the study presented a comparison of NO2 measurements in Sentinel-5P and ground-based stations over the urban area of Fujairah during 2021 and comparison analysis of the tropospheric NO2 column spatial configuration over urban area of Fujairah during comparable periods of pre, mid and post Covid-19 pandemic era as 2019, 2020 and 2021, respectively. These findings demonstrate remarkable tropospheric NO2 column number density decreases even of 85% in the busier areas of emirate of Fujairah during the pandemic era. Sentinel-5P measurements draw attention to the significant reduction in NO2 pollution over Fujairah during the COVID-19 lockdown where we had less traffic, which is supported by ground stations-based calculations.

Multiple sources influence air quality and regional climate in complicated atmospheric emission situations like urban agglomerations. To resolve pollution plumes and source influences in polluted areas, a comprehensive chemical fingerprinting of sources utilizing non-methane hydrocarbons (NMHCs) and the identification of acceptable tracer molecules and emission ratios is required, in contrast to pristine locations, where reliance on a single or a few chemical tracers is frequently sufficient. We have characterized the prevalence of NMHCs fingerprints in the urban areas and quantified the correlation of windspeed with the concentration of these pollutants. eNose sensors and Air quality management stations provide the data to identify the emission sources of such pollutants. Based on our analysis, the average NMHC concentration in 2021 has been recorded 0.424 ppm at point 1 AQMS whereas at point 2 AQMS it was 0.256 ppm. Such outcomes could be attributed to the proximity of emissions sources, the direction and speed of the wind, or both. Moreover, traffic can be a major contributor to pollution levels in any urban area. More research based on a larger dataset is required before definitive conclusions can be drawn, and viable solutions can be proposed.