Next-generation remote sensing and prediction of sand and dust storms: State-of-the-art and future trends
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 …
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 …
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
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 …
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
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 …
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
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 …
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 …
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 …
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 …
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 …
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 …
a need to predict dust pollution and identify its controlling factors to help reduce its adverse …