Long-term variability of dust events in southwestern Iran and its relationship with the drought
Dust storms represent a major environmental challenge in the Middle East. The southwest
part of Iran is highly affected by dust events transported from neighboring desert regions …
part of Iran is highly affected by dust events transported from neighboring desert regions …
The effect of combined drought and trace metal elements stress on the physiological response of three Miscanthus hybrids
Drought is a serious threat worldwide and has a significant impact on agricultural production
and soil health. It can pose an even greater threat when it involves land contaminated with …
and soil health. It can pose an even greater threat when it involves land contaminated with …
[HTML][HTML] Influence of drought duration and severity on drought recovery period for different land cover types: evaluation using MODIS-based indices
A Fathi-Taperasht, H Shafizadeh-Moghadam… - Ecological …, 2022 - Elsevier
Drought is a slow-onset phenomenon driven by the lack of precipitation, affecting the
performance of plants and functionality of terrestrial ecosystems. In addition to the length …
performance of plants and functionality of terrestrial ecosystems. In addition to the length …
Mineralogical, geochemical, and textural characteristics of soil and airborne samples during dust storms in Khuzestan, southwest Iran
Dust storms are frequent phenomena in Khuzestan Province, southwest Iran, leading to
environmental hazards and deleterious impacts on human health. This work analyzes …
environmental hazards and deleterious impacts on human health. This work analyzes …
Identifying sand and dust storm sources using spatial-temporal analysis of remote sensing data in Central Iran
Sand and dust storms (SDS) are common meteorological phenomena in arid and semi-arid
regions caused by natural or anthropogenic factors. Central Iran, covers a large area on the …
regions caused by natural or anthropogenic factors. Central Iran, covers a large area on the …
Drought-induced vulnerability and resilience of different land use types using time series of MODIS-based indices
A Fathi-Taperasht, H Shafizadeh-Moghadam… - International Journal of …, 2023 - Elsevier
Drought is a creeping and complex phenomenon that significantly impacts terrestrial
ecosystem services by reducing the ecosystem's performance and upsetting the balance of …
ecosystem services by reducing the ecosystem's performance and upsetting the balance of …
[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 …
[HTML][HTML] Spatiotemporal dynamics and driving factors of soil erosion in the Beiluo River Basin, Loess Plateau, China
B Wen, C Huang, C Zhou, H Zhang, Q Yang, M Li - Ecological Indicators, 2023 - Elsevier
Soil erosion reduces soil fertility and land productivity while enhancing desertification, which
seriously threatens ecological security, carbon sequestration, and sustainable economic …
seriously threatens ecological security, carbon sequestration, and sustainable economic …
Soil erosion prediction using Markov and CA-Markov chains methods and remote sensing drought indicators
M Mokarram, AR Zarei - Ecological Informatics, 2023 - Elsevier
Climate change and reduced rainfall in the past decade have resulted in an alarming
increase in soil erosion within arid and semi-arid regions, including southern Iran. Given the …
increase in soil erosion within arid and semi-arid regions, including southern Iran. Given the …
Predicting the ground-level pollutants concentrations and identifying the influencing factors using machine learning, wavelet transformation, and remote sensing …
Z Ebrahimi-Khusfi, R Taghizadeh-Mehrjardi… - Atmospheric Pollution …, 2021 - Elsevier
This study was conducted to evaluate the performance of the support vector regression
(SVR) model with and without applying wavelet transformation for predicting the PM10, PM2 …
(SVR) model with and without applying wavelet transformation for predicting the PM10, PM2 …