A review of dust accumulation and cleaning methods for solar photovoltaic systems

HA Kazem, MT Chaichan, AHA Al-Waeli… - Journal of Cleaner …, 2020 - Elsevier
Utilizing solar energy to generate electricity on large scale photovoltaic (PV) power plants
became a trend as a new option adopted by many countries. The optimum installation of PV …

Dust storms in Iran–Distribution, causes, frequencies and impacts

A Rashki, NJ Middleton, AS Goudie - Aeolian Research, 2021 - Elsevier
The occurrence of dust storms in Iran has been a source of interest for centuries, but their
study has increased dramatically over the last two decades. This paper reviews recent work …

Desertification

A Mirzabaev, J Wu, J Evans, F García-Oliva… - 2019 - philpapers.org
Abstract IPCC SPECIAL REPORT ON CLIMATE CHANGE AND LAND (SRCCL) Chapter 3:
Climate Change and Land: An IPCC special report on climate change, desertification, land …

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 …

Long-term variability of dust events in southwestern Iran and its relationship with the drought

NH Hamzeh, DG Kaskaoutis, A Rashki… - Atmosphere, 2021 - mdpi.com
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 …

Impact of changes to the atmospheric soluble iron deposition flux on ocean biogeochemical cycles in the Anthropocene

DS Hamilton, JK Moore, A Arneth… - Global …, 2020 - Wiley Online Library
Iron can be a growth‐limiting nutrient for phytoplankton, modifying rates of net primary
production, nitrogen fixation, and carbon export‐highlighting the importance of new iron …

Application of remote sensing techniques and machine learning algorithms in dust source detection and dust source susceptibility mapping

M Boroughani, S Pourhashemi, H Hashemi… - Ecological …, 2020 - Elsevier
The aim of this research was to develop a method to produce a Dust Source Susceptibility
Map (DSSM). For this purpose, we applied remote sensing and statistical-based machine …

[HTML][HTML] Soil stabilization for dunes fixation using microbially induced calcium carbonate precipitation

M Naeimi, J Chu, M Khosroshahi, LK Zenouzi - Geoderma, 2023 - Elsevier
Climate change and desertification caused increases in sandstorms and sand movements
due to the erosive force of the wind. Wind erosion is a phenomenon depending on the …

Machine-learning algorithms for predicting land susceptibility to dust emissions: The case of the Jazmurian Basin, Iran

H Gholami, A Mohamadifar, A Sorooshian… - Atmospheric pollution …, 2020 - Elsevier
In this study, we apply six machine-learning algorithms (XGBoost, Cubist, BMARS, ANFIS,
Cforest and Elasticnet) to investigate the susceptibility of the Jazmurian Basin in …

Atmospheric dynamics and numerical simulations of six frontal dust storms in the Middle East region

NH Hamzeh, S Karami, DG Kaskaoutis, I Tegen… - Atmosphere, 2021 - mdpi.com
This study analyzes six frontal dust storms in the Middle East during the cold period (October–
March), aiming to examine the atmospheric circulation patterns and force dynamics that …