Studying the Changes in the Hydro‐Meteorological Components of Water Budget in Lake Urmia-Reference-Cited by-同舟云学术

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Studying the Changes in the Hydro‐Meteorological Components of Water Budget in Lake Urmia

Published:2022-07 Issue:7 Volume:58 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resources Research

Author:

Vaheddoost Babak¹^ORCID,Fathian Farshad²^ORCID,Gul Enes³^ORCID,Safari Mir Jafar Sadegh⁴^ORCID

Affiliation:

1. Department of Civil Engineering Bursa Technical University Bursa Turkey

2. Department of Water Science & Engineering Vali‐e‐Asr University of Rafsanjan Rafsanjan Iran

3. Department of Civil Engineering Inonu University Malatya Turkey

4. Department of Civil Engineering Yaşar University Izmir Turkey

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022WR032030

Reference71 articles.

1. Increasing risk of meteorological drought in the Lake Urmia basin under climate change: Introducing the precipitation–temperature deciles index

2. Determination of environmental water requirements of Lake Urmia, Iran: an ecological approach

3. Assessment of water demand reliability using SWAT and RIBASIM models with respect to climate change and operational water projects

4. Dried bottom of Urmia Lake as a new source of dust in the northwestern Iran: Understanding the impacts on local and regional air quality

5. Investigation Anthropogenic Impacts and Climate Factors on Drying up of Urmia Lake using Water Budget and Drought Analysis

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1. Invasive-Weed-Optimization-Based Extreme Learning Machine for Prediction of Lake Water Level Using Major Atmospheric–Oceanic Climate Scenarios;Sustainability;2024-09-08

2. Estimation of flow duration and mass flow curves in ungauged tributary streams;Journal of Cleaner Production;2023-07

3. Coupled water and salt balance models for Lake Urmia: Salt precipitation and dissolution effects;Journal of Great Lakes Research;2023-06

4. Energy loss and contraction coefficients-based vertical sluice gate’s discharge coefficient under submerged flow using symbolic regression;Environmental Science and Pollution Research;2023-05-29

5. Vertical and Horizontal Water Penetration Velocity Modeling in Nonhomogenous Soil Using Fast Multi-Output Relevance Vector Regression;Big Data;2023-03-14

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