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.

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.

Assessment of future climate classification on Urmia Lake basin under effect of climate change

2013 ◽  
Vol 3 (2) ◽  
pp. 128 ◽  
Author(s):  
Alireza Zamani Nuri ◽  
Mohammad Reza Farzaneh ◽  
Masoomeh Fakhri ◽  
Hamzeh Dokoohaki ◽  
Saeid Eslamian ◽  
...  
Keyword(s):  
Climate Change ◽  
Future Climate ◽  
Urmia Lake ◽  
Lake Basin ◽  
Climate Classification ◽  
Urmia Lake Basin

Investigating the effects of climate change on stream flows of Urmia Lake basin in Iran

2019 ◽  
Vol 6 (1) ◽  
pp. 329-339
Author(s):  
Shadieh Heydari Tasheh Kabood ◽  
Seyed Asaad Hosseini ◽  
Akbar Heydari Tasheh Kabood
Keyword(s):  
Climate Change ◽  
Urmia Lake ◽  
Lake Basin ◽  
Stream Flows ◽  
Urmia Lake Basin

Risk Assessment of Climate Change Impacts on Runoff in Urmia Lake Basin, Iran

2016 ◽  
Vol 21 (8) ◽  
pp. 04016023 ◽  
Author(s):  
Parisa Razmara ◽  
Homayoun Motiee ◽  
Alireza Massah Bavani ◽  
Bahram Saghafian ◽  
Sedigheh Torabi
Keyword(s):  
Climate Change ◽  
Risk Assessment ◽  
Climate Change Impacts ◽  
Urmia Lake ◽  
Lake Basin ◽  
Urmia Lake Basin

scholarly journals Landslide susceptibility assessment using an integrated approach of the analytic network process and fuzzy logic, a case of Urmia Lake Basin

2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Davoud OMARZADEH ◽  
Seyed Ahmad ESLAMINEZHAD ◽  
Mobin EFTEKHARI ◽  
Mohammad AKBAR
Keyword(s):  
Landslide Susceptibility ◽  
Integrated Approach ◽  
Urmia Lake ◽  
Fuzzy Membership ◽  
Lake Basin ◽  
Lake Urmia ◽  
Sensitive Areas ◽  
Network Process ◽  
Urmia Lake Basin ◽  
Very High

The occurrence of landslides has always been a problem in spatial planning as an environmental threat. The aim of the present study was to zoning landslide sensitive areas in the Urmia Lake Basin and to investigate the correlation between the characteristics of the region and the amount of landslide. To achieve these purposes, the situation of landslide sensitive areas in the Lake Urmia Basin was investigated using a combination of Fuzzy and Analytical Network Process (ANP) methods. The criteria' weight is obtained using the ANP, fuzzy Membership command, linear function, the fuzzy weight of the sub-criteria, and their fuzzy membership degree (between 0 and 1) are calculated. The weighted raster layers were combined using the Gamma overlay function. As a result of this operation, a classified map has been obtained which shows that 16.6% of the area has a very high landslide susceptibility, and the highest area of the study area, i.e., 27.32%, has a relatively high landslide susceptibility. The results of the present study were compared with the data recorded using field observations at landslide sites. The results showed that out of 182 points collected, 148 points (equivalent to 81.31%) correspond to class 6 (very high landslide susceptibility) and class 7 (extremely probable). The results of this research can be used in crisis management, identifying the suitability of the region in terms of geomorphological features, identifying environmental and natural hazards.

scholarly journals Amount and location of tectonic uplift in the Urmia region of northwest Iran from the Permian to the Neogene

2021 ◽  
Vol 3 (3) ◽  
Author(s):  
Akram Alizadeh
Keyword(s):  
Hypersaline Lake ◽  
Time Interval ◽  
Lake Basin ◽  
Lake Urmia ◽  
Qom Formation ◽  
Northwest Of Iran ◽  
The Subject ◽  
Orogenic Uplift ◽  
East Azerbaijan ◽  
Urmia Lake Basin

AbstractThe Urmia Lake Basin is located between the West and East Azerbaijan provinces in the northwest of Iran. Lake Urmia is the twentieth largest lake and second largest hypersaline lake in the world. Stratigraphic columns have been constructed, using published information, to compare the sedimentary units deposited from the Permian to the Neogene on the east and west sides of the lake, and to use these to quantity subsidence and uplift. East of the lake, the sedimentary section is more complete and has been the subject of detailed stratigraphic studies, including the compilation of measured sections for some units. West of the lake, the section is incomplete and less work has been done; three columns illustrate variations in the preserved stratigraphy for the time interval. In all cases, the columns are capped by the Oligocene–Miocene Qom Formation, which was deposited during a post-orogenic marine transgression and unconformably overlies units ranging from Precambrian to Cretaceous. Permian to Cretaceous stratigraphy is used to measure subsidence in the Lake Urmia basin up to the end of the Cretaceous, and then, the subsequent orogenic uplift, which was followed by further subsidence recorded by the deposition of the Qom Formation in the Oligocene–Miocene.

Sign in / Sign up

Export Citation Format

Share Document