Next-generation remote sensing and prediction of sand and dust storms: State-of-the-art and future trends

P Jiao, J Wang, X Chen, J Ruan, X Ye… - International Journal of …, 2021 - Taylor & Francis
Sand and dust storms (SDS) have long been considered as a type of disastrous weather.
Minimizing the severe influence of SDS on the environment and human life has been the …

An investigation into climatic and terrestrial drivers of dust storms in the Sistan region of Iran in the early twenty-first century

A Miri, S Maleki, N Middleton - Science of the Total Environment, 2021 - Elsevier
Dust storms cause a wide range of impacts on environment, economy and human health in
the Sistan region of southeastern Iran. This paper investigates long-term variability of dust …

Evaluating the role of urban fabric on surface urban heat island: The case of Istanbul

DE Okumus, F Terzi - Sustainable Cities and Society, 2021 - Elsevier
Urban heat islands, one of the fundamental anthropogenic impacts on local climates, have
been a growing concern especially for high-density urban areas such as Istanbul. This …

[HTML][HTML] Predicting the number of dusty days around the desert wetlands in southeastern Iran using feature selection and machine learning techniques

Z Ebrahimi-Khusfi, AR Nafarzadegan, F Dargahian - Ecological Indicators, 2021 - Elsevier
In the past decades, some desert wetlands have become critical regions for dust production
in the arid and semi-arid regions of the world. Accurate prediction of the number of dusty …

Spatial and seasonal variations of sand-dust events and their relation to atmospheric conditions and vegetation cover in semi-arid regions of central Iran

ZE Khusfi, M Khosroshahi, F Roustaei, M Mirakbari - Geoderma, 2020 - Elsevier
Atmospheric conditions and physical characteristics of the earth surface have an important
effect on the spatiotemporal variations of sand-dust events. The main objective of the …

Evaluation of machine learning models for predicting the temporal variations of dust storm index in arid regions of Iran

Z Ebrahimi-Khusfi, R Taghizadeh-Mehrjardi… - Atmospheric Pollution …, 2021 - Elsevier
It is necessary to predict wind erosion events and specify the related effective factors to
prioritize management and executive measures to combat desertification caused by wind …

Using the Boruta algorithm and deep learning models for mapping land susceptibility to atmospheric dust emissions in Iran

H Gholami, A Mohammadifar, S Golzari… - Aeolian Research, 2021 - Elsevier
Wind erosion have many negative effects on global terrestrial and aquatic ecosystems and
these phenomena are controlled by several factors including climatic, meteorological …

Classification of weather clusters over the Middle East associated with high atmospheric dust-AODs in West Iran

K Mohammadpour, M Sciortino, DG Kaskaoutis - Atmospheric Research, 2021 - Elsevier
Daily aerosol optical depth (AOD) and meteorological fields obtained from Monitoring
Atmospheric Composition and Climate (MACC) and ERA-Interim reanalysis, respectively are …

Application of land-use regression model with regularization algorithm to assess PM2. 5 and PM10 concentration and health risk in Kolkata Metropolitan

K Das, ND Chatterjee, D Jana, RK Bhattacharya - Urban Climate, 2023 - Elsevier
Present research aimed to develop monthly and annual land-use regression (LUR) model
for simulation of particulate matter (PM) concentration using conventional linear regression …

[HTML][HTML] Determining the contribution of environmental factors in controlling dust pollution during cold and warm months of western Iran using different data mining …

Z Ebrahimi-Khusfi, R Taghizadeh-Mehrjardi… - Ecological …, 2021 - Elsevier
Dust pollution is one of the major environmental crises in the arid regions of Iran and there is
a need to predict dust pollution and identify its controlling factors to help reduce its adverse …