Article
Environmental Sciences
Babak Ghazi, Sanjana Dutt, Ali Torabi Haghighi
Summary: Future changes in precipitation and meteorological droughts in Lake Urmia Basin were evaluated using eight GCMs with high-resolution datasets in different socioeconomic pathway scenarios. The results showed a decrease in precipitation by 3.21% and 7.18% under different scenarios. The projection based on SPI indices indicated an increase in extremely dry events in SSP5-8.5 scenarios, while the frequency of extremely wet months will decline for all stations in Lake Urmia Basin. The findings of this study provide useful insight for implementing drought prevention measures in advance for Lake Urmia Basin.
Article
Geochemistry & Geophysics
S. Davarpanah, M. Erfanian, Kh. Javan
Summary: The study evaluated future drought and wet spells in Lake Urmia Basin using models, showing an increase in drought probability and duration in the area.
PURE AND APPLIED GEOPHYSICS
(2021)
Article
Geosciences, Multidisciplinary
Arnold R. Salvacion
Summary: This study measured drought risk in Marinduque, Philippines using Principal Component Analysis (PCA) and fuzzy logic. The results showed that villages in the northwest and eastern portion of the province face high drought risk. Topography and climate conditions play important roles in drought risk and physical vulnerability in the area. Additionally, villages with high social vulnerability also have higher drought risk.
Article
Geosciences, Multidisciplinary
Soheila Pouyan, Mojgan Bordbar, Venkatesh Ravichandran, John P. Tiefenbacher, Mehrzad Kherad, Hamid Reza Pourghasemi
Summary: This study utilized drought indicators to monitor drought in Iran spatially. Four drought indicators, including the temperature condition index (TCI), vegetation condition index (VCI), vegetation health index (VHI), and precipitation condition index (PCI) were analyzed based on data from 2016 to 2020. The results revealed severe drought in most of Iran in 2020 according to the TCI. The VCI showed that the northern region had the highest vegetation condition without drought. The VHI indicated increasing vegetation stress throughout the study period and severe and moderate droughts reached their peak in the aforementioned years. The PCI demonstrated a decrease in rainfall amounts across most of the country during the study period. The 30-year standardized precipitation index (SPI) showed that northern Iran had adequate rainfall, while most of the country experienced extreme and severe dryness. The analysis of the VHI index for agricultural plants identified critical drought conditions in 27.71% of Iran's agricultural regions, including the provinces of Razavi Khorasan, Hamadan, and Khozestan. This study provides valuable insights into drought monitoring indicators and enhances the understanding of drought in arid and semiarid regions.
Article
Environmental Sciences
Sahand Darehshouri, Nils Michelsen, Christoph Schueth, Massoud Tajrishy, Stephan Schulz
Summary: Lake Urmia in Iran has undergone significant shrinkage, impacting the ecosystem and endangered species. The study focuses on quantifying the evaporation of shallow groundwater from the dried-up lake bed, which has not been fully understood. Through experiments and upscaling techniques, it is found that evaporation from the exposed lake bed is largely independent of the unsaturated zone thickness and can be estimated using satellite data. The results show that the evaporation rates are relatively low compared to the open lake surface.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Engineering, Civil
Ayseguel Kuzucu, Guelay Onusluel Gul
Summary: Drought is a regional phenomenon caused by unbalanced climate dynamics on a global scale, and it requires continuous analysis in both time and space. Drought indices are fundamental for analyzing drought, but their effectiveness is limited by the availability of input data. Traditional methods of analyzing drought indices rely on measurements from hydro-meteorological stations, but they fail to capture the spatiotemporal continuity required for accurate assessments. This study compares different approaches to drought analysis and provides mapped results for comparing estimated future drought characteristics with those of the reference period.
WATER RESOURCES MANAGEMENT
(2023)
Article
Water Resources
Jalil Helali, Shahab Asaadi, Teimour Jafarie, Maral Habibi, Saadoun Salimi, Seyed Erfan Momenpour, Salah Shahmoradi, Seyed Asaad Hosseini, Behzad Hessari, Vahideh Saeidi
Summary: This study monitored and evaluated the effects of drought on water area and vegetation in the Lake Urmia watershed in Iran's northwest. Various indices, including SPI and remote sensing-derived data, were used to identify changes in water area, water level, and vegetation during a 20-year period. The correlation analysis showed the highest correlation between SPI and NDVI, with the 1-month SPI having a stronger correlation than the 3-month SPI with NDVI and EVI. The results can be utilized for rapid assessment of remote sensing-derived data and water-related indices.
JOURNAL OF WATER AND CLIMATE CHANGE
(2022)
Article
Water Resources
Roya Narimani, Changhyun Jun, Somayeh Moghimi Nezhad, Sayed M. Bateni, Jinwook Lee, Jongjin Baik
Summary: This study focuses on accurately estimating baseflow in the Urmia Lake basin, Iran, which is important for water resources management. The study evaluates the stability and reliability of baseflow estimation using long-term observational data. Seven baseflow separation methods are compared, and two indicators are used to assess the impact of climate conditions on baseflow separation. Additionally, the uncertainty sources in digital filter methods are investigated.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2023)
Article
Engineering, Civil
Gokmen Tayfur
Summary: The study developed a new drought index called the Discrepancy Precipitation Index (DPI), which does not impose any probability distribution on the precipitation data in semi-arid and arid regions. The results show that DPI is a more representative drought assessment tool for arid climate regions.
JOURNAL OF HYDROLOGY
(2021)
Article
Engineering, Civil
Mohammad Sadegh Abbasian, Mohammad Reza Najafi, Ahmad Abrishamchi
Summary: This study proposes a novel framework to characterize meteorological drought conditions and predicts future climate trends in the Lake Urmia basin in Iran. Results indicate that the region is projected to become drier and hotter in the future, leading to an increase in dry/hot months and a decrease in precipitation, which is unfavorable for agricultural activities and the revival of the endangered lake.
JOURNAL OF HYDROLOGY
(2021)
Article
Engineering, Civil
Veysel Gumus
Summary: Drought indices are widely used for drought monitoring, and this study compares two methods for determining drought characteristics in different regions of Turkey, finding significant differences between the two methods after the 1990s.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
Sajad Khoshnood, Aynaz Lotfata, Ayyoob Sharifi
Summary: Studying water availability in lakes is crucial for managing ecosystems and meeting economic development needs. By comparing Lake Urmia and Lake Van, which have similar geographical and climate conditions but different management policies, the causes of water declines in Lake Urmia can be identified. The results show that dam construction, water diversion projects, expansion of irrigated agriculture, and the lake's shallow depth are the primary reasons for Lake Urmia's shrinkage compared to Lake Van.
Article
Water Resources
Hana Salimi, Esmail Asadi, Sabereh Darbandi
Summary: This study focused on analyzing meteorological drought using SPI and SPEI, as well as exploring hydrological drought with SSI. The research found that climate change has a significant impact on drought characteristics, with differences observed in drought characteristics across different climatic regions. Additionally, the study identified accurate relationships between drought duration and severity, with the highest accuracy observed in a 9-month period in the Navroud watershed basin.
APPLIED WATER SCIENCE
(2021)
Article
Geosciences, Multidisciplinary
Mais Alkhayer, Mostafa Karimian Eghbal, Nikou Hamzehpour, Rasoul Rahnemaie
Summary: The gradual desiccation of Lake Urmia in Iran has caused catastrophic water loss, resulting in the formation of salt crust deposits on the lake bed. This study investigated the impact of water level on brine composition, the formation and mineralogy of the salt crust, and performed a lab-scale experiment to simulate these processes. The results showed changes in brine composition with water level, the dominance of certain ions in different layers of the salt crust, and the precipitation of specific minerals. The findings suggest that if the lake continues to dry up, magnesium sulfate minerals will be the final product of the brine.
Article
Water Resources
Somayeh Sima, David E. Rosenberg, Wayne A. Wurtsbaugh, Sarah E. Null, Karin M. Kettenring
Summary: To restore drying saline lakes, a broader range of restoration objectives should be considered for increased flexibility in management. Setting eight restoration objectives, such as lowering salinity and improving recreational access, can help in achieving sustainable restoration. The variability in lake levels hinders the setting of precise restoration targets, urging managers to adapt strategies as needed.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2021)
Article
Geosciences, Multidisciplinary
M. Kia Kianian
ARABIAN JOURNAL OF GEOSCIENCES
(2014)
Article
Environmental Sciences
Vahid Safarianzengir, Behrouz Sobhani, Mohammad Hasan Yazdani, Mohammadkia Kianian
AIR QUALITY ATMOSPHERE AND HEALTH
(2020)
Article
Engineering, Environmental
Aghil Madadi, Atefeh Hoseini Sadr, Abbas Kashani, Ata Ghaffari Gilandeh, Vahid Safarianzengir, Mohammadkia Kianian
Summary: This study aims to monitor and model aerosol temporal and spatial variations in Iran, finding that aerosol values have increased in intensity and frequency over the 20-year time series, with higher intensity in the last 5 years. Remote sensing science was utilized to monitor the effects of aerosols on the environment and human health, identifying areas with high aerosol intensity for careful planning and observation in health protocols.
ENVIRONMENTAL GEOCHEMISTRY AND HEALTH
(2021)
Article
Environmental Sciences
Vahid Safarianzengir, Leila Mahmoudi, Roghayeh Maleki Meresht, Behrooz Abad, Kazem Rajabi, Muhammadkia Kianian
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
(2020)
Article
Environmental Sciences
Leila Mahmoudi, Sahar Amiri Doumari, Vahid Safarianzengir, Rahman Maleki, Saeed Kianinejad, Mohammadkia Kianian
Summary: This study aimed to model and predict the hazardous dust phenomenon in Iran using ANFIS and RBF models. The RBF model showed higher accuracy in predicting dust simulation over the years, particularly identifying western and southwestern stations as more exposed to dust in the future. The TOPSIS model ranked Abadan, Masjed Soleyman, and Ahwaz as the highest priority stations for dust involvement in simulated years.
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
(2021)
Article
Plant Sciences
Reyhaneh Azimi, Mohammad Farzam, Mohammad Pessarakli, Mohammad Kia Kianian
JOURNAL OF PLANT NUTRITION
(2018)
