scholarly journals Water-Level Fluctuations of Urmia Lake: Relationship with the Long-Term Changes of Meteorological Variables (Solutions for Water-Crisis Management in Urmia Lake Basin)

2014 ◽  
Vol 04 (03) ◽  
pp. 358-368 ◽  
Author(s):  
Mojtaba Zoljoodi ◽  
Ali Didevarasl
Keyword(s):  
Water Level ◽  
Crisis Management ◽  
Urmia Lake ◽  
Meteorological Variables ◽  
Water Level Fluctuations ◽  
Lake Basin ◽  
Water Crisis ◽  
Long Term Changes ◽  
Urmia Lake Basin

Water level instability analysis of Urmia Lake Basin in the northwest of Iran

2020 ◽  
Vol 13 (4) ◽  
Author(s):  
Fatemeh Bashirian ◽  
Dariush Rahimi ◽  
Saeed Movahedi ◽  
Reza Zakerinejad
Keyword(s):  
Water Level ◽  
Urmia Lake ◽  
Lake Basin ◽  
Instability Analysis ◽  
Northwest Of Iran ◽  
Urmia Lake Basin

scholarly journals Changing Causes of Drought in the Urmia Lake Basin—Increasing Influence of Evaporation and Disappearing Snow Cover

Water ◽  
2021 ◽  
Vol 13 (22) ◽  
pp. 3273
Author(s):  
Maral Habibi ◽  
Iman Babaeian ◽  
Wolfgang Schöner
Keyword(s):  
Water Level ◽  
Reanalysis Data ◽  
Urmia Lake ◽  
Drought Indices ◽  
Lake Basin ◽  
Water Balance Components ◽  
Lake Water Level ◽  
Study Results ◽  
Key Factor ◽  
Urmia Lake Basin

The water level of the Urmia Lake Basin (ULB), located in the northwest of Iran, started to decline dramatically about two decades ago. As a result, the area has become the focus of increasing scientific research. In order to improve understanding of the connections between declining lake level and changing local drought conditions, three common drought indices are employed to analyze the period 1981–2018: The Standard Precipitation Index (SPI), the Standard Precipitation-Evaporation Index (SPEI), and the Standardized Snow Melt and Rain Index (SMRI). Although rainfall is a significant indicator of water availability, temperature is also a key factor since it determines rates of evapotranspiration and snowmelt. These different processes are captured by the three drought indices mentioned above to describe drought in the catchment. Therefore, the main objective of this paper is to provide a comparative analysis of drought over the ULB by incorporating different drought indices. Since there is not enough long-term observational data of sufficiently high density for the ULB region, ECMWF Reanalysis data version 5(ERA5) has been used to estimate SPI, SPEI, and SMRI drought indicators. These are shown to work well, with AUC-ROC > 0.9, in capturing different classes of basin drought characteristics. The results show a downward trend for SPEI and SMRI (but not for SPI), suggesting that both evaporation and lack of snowmelt exacerbate droughts. Owing to the increasing temperatures in the basin and the decrease in snowfall, drought events have become particularly pronounced in the SPEI and SMRI time series since 2010. No significant SMRI drought was detected prior to 1995, thus indicating that sufficient snowfall was available at the beginning of the study period. The study results also reveal that the decrease in lake water level from 2010 to 2018 was not only caused by changes in the water balance components, but also by unsustainable water management.

scholarly journals Hydrological Regime of the Trans-Baikal Lakes in the conditions of the Changing Climate (Ivano-Arakhleysky Lakes as a Study Case)

2011 ◽  
pp. 4-14
Author(s):  
Keyword(s):  
Water Level ◽  
Climate Changes ◽  
Atmospheric Precipitation ◽  
Hydrological Regime ◽  
Water Level Fluctuations ◽  
Changing Climate ◽  
Long Term Changes ◽  
Study Case ◽  
Ice Water

Long-term changes of temperature of air and atmospheric precipitation in Transbaikalia and their influence on the hydrological regime of the Ivano-Arahleysky lakes are considered in the article. Climate changes have caused rise in temperature of water of lakes, reduction a thickness of ice and duration of standing of ice. Water level fluctuations have cyclic character and depend on long-term changes of atmospheric precipitation.

scholarly journals Unraveling the Water-Energy-Food-Environment Nexus for Climate Change Adaptation in Iran: Urmia Lake Basin Case-Study

Water ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1282
Author(s):  
Hossein Nasrollahi ◽  
Rasool Shirazizadeh ◽  
Reza Shirmohammadi ◽  
Omid Pourali ◽  
Majid Amidpour
Keyword(s):  
Climate Change ◽  
Sustainable Development ◽  
Water Level ◽  
Holistic Approach ◽  
Urmia Lake ◽  
Lake Basin ◽  
Lake Urmia ◽  
Industrial Sectors ◽  
Ecological Water Level ◽  
Urmia Lake Basin

A holistic approach to the management of water, energy, food, and the environment is required to both meet the socioeconomic demands of the future as well as sustainable development of these limited resources. The Urmia Lake Basin has faced environmental, social, and economic challenges in recent years, and this situation is likely to worsen under the impacts of climate change. For this study, an adaptability analysis of this region is proposed for the 2040 horizon year. Two models, the water evaluation and planning (WEAP (Stockholm Environmental Institute, Stockholm, Sweden)) and the low emissions analysis platform (LEAP (Stockholm Environmental Institute, Boston, MA, USA)), are integrated to simulate changes in water, energy, food, and the environment over these 20 years. Two climate scenarios and nine policy scenarios are combined to assess sustainable development using a multi-criteria decision analysis (MCDA) approach. Results show that, through pursuing challenging goals in agricultural, potable water, energy, and industrial sectors, sustainable development will be achieved. In this scenario, the Lake Urmia water level will reach its ecological water level in 2040. However, social, technical, and political challenges are considered obstacles to implementing the goals of this scenario. In addition, industry growth and industry structure adjustment have the most impact on sustainable development achievement.

Application of Satellite Remote Sensing for Estimation of Dust Emission Probability in the Urmia Lake Basin in Iran

2019 ◽  
Vol 83 (4) ◽  
pp. 993-1002 ◽  
Author(s):  
Mohaddese Effati ◽  
Hossien‐Ali Bahrami ◽  
Mohammad Gohardoust ◽  
Ebrahim Babaeian ◽  
Markus Tuller
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Dust Emission ◽  
Emission Probability ◽  
Urmia Lake ◽  
Lake Basin ◽  
Urmia Lake Basin

Spatial clustering of maximum 24-h rainfall over Urmia Lake Basin by new weighting approaches

2017 ◽  
Vol 38 (5) ◽  
pp. 2298-2313 ◽  
Author(s):  
Zohreh Dehghan ◽  
Seyed Saeid Eslamian ◽  
Reza Modarres
Keyword(s):  
Spatial Clustering ◽  
Urmia Lake ◽  
Lake Basin ◽  
Urmia Lake Basin

Sedimentary Cladocera as indicators of past water-level changes in shallow northern lakes

2011 ◽  
Vol 75 (3) ◽  
pp. 430-437 ◽  
Author(s):  
Liisa Nevalainen ◽  
Kaarina Sarmaja-Korjonen ◽  
Tomi P. Luoto
Keyword(s):  
Water Level ◽  
Lake Level ◽  
Water Levels ◽  
Sediment Record ◽  
Inference Model ◽  
Water Level Changes ◽  
Long Term Changes ◽  
Lower Water Level ◽  
The Relationship

AbstractThe usability of subfossil Cladocera assemblages in reconstructing long-term changes in lake level was examined by testing the relationship between Cladocera-based planktonic/littoral (P/L) ratio and water-level inference model in a surface-sediment dataset and in a 2000-yr sediment record in Finland. The relationships between measured and inferred water levels and P/L ratios were significant in the dataset, implying that littoral taxa are primarily deposited in shallow littoral areas, while planktonic cladocerans accumulate abundantly mainly in deepwater locations. The 2000-yr water-level reconstructions based on the water-level inference model and P/L ratio corresponded closely with each other and with a previously available midge-inferred water-level reconstruction from the same core, showing a period of lower water level around AD 300–1000 and suggesting that the methods are valid for paleolimnological and -climatological use.

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