Meeting agricultural and environmental water demand in endorheic irrigated river basins: A simulation-optimization approach applied to the Urmia Lake basin in Iran

Dehghanipour, Amir Hossein; Schoups, Gerrit; Zahabiyoun, Bagher; Babazadeh, Hossein

doi:10.1016/j.agwat.2020.106353

Cited by 47 publications

(19 citation statements)

References 60 publications

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“…Previous studies have reached similar conclusions about the effect of water‐saving measures. For example, Dehghanipour et al (2020) identified multiple water management strategies of irrigating Miyandoab Plain using the water from Lake Urmia, an endorheic lake. Combination of environmental flow, deficit irrigation and crop selection could increase the environmental flow to 16% and the agricultural profit to 24%.…”

Section: Discussionmentioning

confidence: 99%

Management of sustainable ecological water levels of endorheic salt lakes in the Inner Mongolian Plateau of China based on eco‐hydrological processes

Xing

Huang

et al. 2021

Hydrological Processes

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Hydrologic regime plays an important role in maintaining aquatic ecosystem structures and biogeochemical processes of endorheic salt lakes. Due to joint influences of regional climate change, runoff regulation and water withdrawal, ecological water deficiency has been increasingly prominent in endorheic salt lakes in Northwest China, especially in the Inner Mongolian Plateau. Previous studies mainly focused on establishing and applying methods to determine ecological water levels of lakes, while much less attention was paid to a more important problemhow such water levels could be reached under changed watershed hydrological processes. Solutions of this gap were explored in this study using the Dalinuoer Lake as an example. This lake is a typical endorheic salt lake located in the Inner Mongolian Plateau. It is a critical source to provide important ecological services and economic values for locals. Its ecological water level to maintain the optimum salinity threshold was first calculated by applying a statistical analysis of relationships between the phytoplankton biomass, salinity and water level of the lake. Potential measures to preserve the ecological water level of the lake were subsequently evaluated based on a hydrological process analysis of the watershed. The results indicated that the optimum salinity threshold was 5.7 g/L. This value should be also valid for other endorheic salt lakes in this region. According to a function between the water storage and the mean water depth of this lake, the ecological water level was determined to be 10.28 m with an ecological water deficit of 2.5 Â 10 8 m 3 . A basin water balance analysis using the results proposed measures to maintain a sustainable ecological water level, including controlling local water consumption and infusing ecological water. The results of this study could be extrapolated to other similar conditions to provide guidance for policy-makers, so that better decisions could be hopefully forged to protect ecohydrological processes of endorheic salt lakes in the Mongolian Plateau, as well as other comparable scenarios.

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Section: Discussionmentioning

confidence: 99%

Management of sustainable ecological water levels of endorheic salt lakes in the Inner Mongolian Plateau of China based on eco‐hydrological processes

Xing

Huang

et al. 2021

Hydrological Processes

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“…Drought is a natural and repeatable phenomenon that can cause severe crises, and the most critical factors in drought development are precipitation and evaporation (Hatefi et al, 2016). In recent years, droughts have become more frequent and severe in Iran (Dehghanipour et al, 2020b(Dehghanipour et al, , 2019Hatefi et al, 2016). Drought is a growing problem in Iran because excessive groundwater use during drought conditions causes annual evaporation to exceed annual renewable water supply due to precipitation (Moshir Panahi et al, 2020).…”

Section: Study Areamentioning

confidence: 99%

Two Comprehensive and Practical Methods for Simulating Pan Evaporation Under Different Climatic Conditions in Iran

Dehghanipour¹,

Karami²,

Ghazvinian³

et al. 2021

Preprint

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Evaporation from surface water plays a key role in water accounting of basins, water resources management, and irrigation systems management, so simulating evaporation with high accuracy is very important. In this study, two methods for simulating pan evaporation under different climatic conditions in Iran were developed. In the first method, six experimental relationships (linear, quadratic, and cubic, with two input combinations) were determined for Iran’s six climate types, inspired by a multilayer perceptron neural network (MLP-NN) neuron and optimized with the genetic algorithm. The best relationship of the six was selected for each climate type, and the results were presented in a three-dimensional graph. In the second method, the best overall relationship obtained in the first method was used as the basic relationship, and climatic correction coefficients were determined for other climate types using the genetic algorithm optimization model. Finally, the accuracy of the two methods was validated using data from 32 synoptic weather stations throughout Iran. For the first method, error tolerance diagrams and statistical coefficients showed that a quadratic experimental relationship performed best under all climatic conditions. To simplify the method, two graphs were created based on the quadratic relationship for the different climate types, with the axes of the graphs showing relative humidity and temperature, and with pan evaporation was drawn as contours. For the second method, the quadratic relationship for semi-dry conditions was selected as the basic relationship. The estimated climatic correction coefficients for other climate types lay between 0.8 and 1 for dry, semi-dry, semi-humid, Mediterranean climates, and between 0.4 and 0.6 for humid and very humid climates, indicating that one single relationship cannot be used to simulate pan evaporation for all climatic conditions in Iran. The validation results confirmed the accuracy of the two methods in simulating pan evaporation under different climatic conditions in Iran.

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“…The losses associated with the drying of Lake Urmia and its surrounding wetlands have been recognized, and efforts to restore the watershed have been initiated [22]. Studies to understand the tradeoffs between different crops, their food production, and their water use have been conducted [19,[30][31][32]. Their scope and the presence of multiple interacting factors have restricted their usefulness.…”

Section: Introductionmentioning

confidence: 99%

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

Nasrollahi

Shirazizadeh

Shirmohammadi

et al. 2021

Water

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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.

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Meeting agricultural and environmental water demand in endorheic irrigated river basins: A simulation-optimization approach applied to the Urmia Lake basin in Iran

Cited by 47 publications

References 60 publications

Management of sustainable ecological water levels of endorheic salt lakes in the Inner Mongolian Plateau of China based on eco‐hydrological processes

Management of sustainable ecological water levels of endorheic salt lakes in the Inner Mongolian Plateau of China based on eco‐hydrological processes

Two Comprehensive and Practical Methods for Simulating Pan Evaporation Under Different Climatic Conditions in Iran

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

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