Drought Variabilities in Saudi Arabia: Unveiling Spatiotemporal Trends through Observations and Projections
Abstract In the Kingdom of Saudi Arabia (KSA), meteorological drought leads to significant water scarcity and triggers profound social, economic, and environmental challenges. The main aim of this paper is to quantify spatiotemporal variability in drought using precipitation data from 28 meteorological stations (1985–2023) and produce future projections. Drought is expressed in terms of the […]
Sand and Dust Storms Impact on Photovoltaic Panels in Saudi Arabia
Abstract This research aims to assess the spatial potential of solar energy in Saudi Arabia by estimating the total sum and analyzing the spatial variability of solar radiation to determine the best sites for solar energy generation that are least affected by sandstorms in the country. It also explores the effects of sandstorms on solar […]
Community-Level Practice Checklists for Health Protection During Cold Spells in China
Abstract Communities play a crucial role in protecting the health of vulnerable populations such as the elderly, low-income groups, and high-risk individuals during cold spells. However, current strategies for responding to cold spells primarily consist of programmatic policies that lack practicality, specificity, and detailed implementation guidelines for community workers. Therefore, this study aims to identify […]
Assessing the role of socio-economic factors in shaping the temperature-mortality exposure-response relationship in China
Abstract Non-optimal temperatures significantly influence public health. However, the role of socio-economic factors in modulating health risks associated with non-optimal temperatures varies geographically and among different populations. Thus, the meteorological, air quality, health data, and socio-economic indicators were obtained from 23 districts in North and 48 districts in East China, respectively. Employing a two-stage meta-analysis, […]
Investigating Two-dimensional Horizontal Mesh Grid Effects on the Eulerian Atmospheric Transport Model Using Artificial Neural Network
Abstract The complexity of monitoring is compounded by the environmental and health impacts linked to air pollution. The elevated expenses and intricate execution involved in measurements prompt the integration of modeling as a complementary approach alongside monitoring and surveillance efforts. Transport chemistry models like CHIMERE operate deterministically, utilizing meteorological factors, emissions data, boundary conditions, and […]
Unravelling the impacts of stratospheric intrusions on near-surface ozone during the springtime ozone pollution episodes in Lhasa, China
Abstract While air pollution due to fine particulate matter (PM2.5) has been effectively controlled in China; the photochemical pollution characterized by elevated ozone (O3) has emerged as a major concern for air quality improvement. Except for ozone, Lhasa is one of the cleanest cities in China with the lowest annual PM2.5 concentration in 2017. The […]
Simulation and synoptic investigation of a severe dust storm originated from the Urmia Lake in the Middle East
Keywords: dust storm ,synoptic investigation ,WRF-Chem model ,GOCART and AFWA dust schemes Urmia Lake Abstract Dried lake beds are one of the largest sources of dust in the world, causing environmental problems in the surrounding areas. In this study, the desiccated Urmia Lake was the primary source of dust for all nearby synoptic stations during […]
An intercomparison of SEMARA high-resolution AOD and MODIS operational AODs
Abstract SEMARA is a high-resolution aerosol optical depth (AOD) retrieval algorithm that incorporates two algorithms, Simplified and Robust Surface Reflectance Estimation Method (SREM) for estimating surface reflectance and the Simplified Aerosol Retrieval Algorithm (SARA) for retrieving AOD. This study used SEMARA approach for retrieving AOD utilizing data obtained from Aqua-MODIS in the green channel. The algorithm had […]
Unveiling the impact of firm-characteristics on sustainable development goals disclosure: A cross-country study on non-financial companies in Asia
Keywords: Sustainable development goalsFirm-specificsSDGs practices Abstract This study examines the practices of the UN Sustainable Development Goals (SDGs) in Asian countries with special reference to listed firms in China, India, Indonesia, Japan, Malaysia, Singapore, and Saudi Arabia. Further, it evaluates the impact of firms’ specific factors on SDGs practices. The original sample consists of 1462 […]
The Role of Machine Learning in Enhancing Particulate Matter Estimation: A Systematic Literature Review
Keywords: machine learning; MERRA2; dust; air quality; PM10; PM2.5 Abstract As urbanization and industrial activities accelerate globally, air quality has become a pressing concern, particularly due to the harmful effects of particulate matter (PM), notably PM2.5 and PM10. This review paper presents a comprehensive systematic assessment of machine learning (ML) techniques for estimating PM concentrations, […]