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Journal of Water & Climate Change Special Issue on:


Assessment of Climate Change Impact on Water Resources Using Machine Learning Algorithms

 

Water resources and many other aspects of life are influenced by global climate change in many developing and developed countries worldwide. For instance, its inevitable effects can be seen as the untimely occurrence of droughts or floods in different parts of the world. Thus, research on climate change has become essential.

In several parts of the globe, hydro-climatic variables, such as precipitation and temperature, are affected due to the consequences of climate change. In this regard, General Circulation Models (GCMs) are utilized to study future temperature and precipitation fluctuations. Assessment of climate change impacts on water resources can be facilitated using available approaches, such as machine learning (ML), fuzzy logic, and Multicriterion Decision Making, to name a few.

This Special Issue explores the utility of ML algorithms and allied techniques in studying those aspects. It is postulated that the proposed Special Issue can significantly help researchers and policy-makers while modeling and making water management-related decisions. In addition to applying ML models to the impact the assessment of climate change on water resources, comprehensive review-type papers on the topic are also welcomed.

We invite prospective authors to submit a manuscript to the Journal of Water & Climate Change for possible publication in the Special Issue.

 

Topics include (but are not limited to):

  • Impact of climate change on hydrological extreme events (e.g., floods and droughts)
  • Impact of climate change on river water quantity and quality
  • Impact of climate change on groundwater quantity and quality
  • Statistical computation for hydrological assessment of climate change
  • Novel downscaling techniques
  • The ranking or clustering GCMs
  • Climate change impacts on water supply

 

Guest Editors:

Majid Niazkar, Free University of Bozen-Bolzano, Italy

Mohammad Zakwan, Maulana Azad National Urdu University, India

Mohammad Reza Goodarzi, Yazd University, Iran

Mohammad Azamathulla Hazi, The University of the West Indies, West Indies

 

 

Editorial: Assessment of Climate Change Impact on Water Resources Using Machine Learning Algorithms

Majid Niazkar; Mohammad Zakwan; Mohammad Reza Goodarzi; Mohammad Azamathulla Hazi

Journal of Water and Climate Change (1 June 2024) 15 (6): iii–vi.

DOI: https://doi.org/10.2166/wcc.2024.002

 

 

Analysis of past and projected changes in extreme precipitation indices in some watersheds in Côte d'Ivoire

N'da Jocelyne Maryse Christine Amichiatchi; Jean Hounkpè; Gneneyougo Emile Soro; Ojelabi Oluwatoyin Khadijat; Isaac Larbi; Andrew Manoba Limantol; Abdul-Rauf Malimanga Alhassan; Tie Albert Goula Bi; Agnidé Emmanuel Lawin

Journal of Water and Climate Change (1 February 2024) 15 (2): 392–406.

DOI: https://doi.org/10.2166/wcc.2023.365

 

 

A case study of an extreme flooding episode in Charikar, Eastern Afghanistan

Farahnaz Fazel-Rastgar; Venkataraman Sivakumar

Journal of Water and Climate Change (1 December 2023) 14 (12): 4689–4707.

DOI: https://doi.org/10.2166/wcc.2023.462

 

 

Multivariate multi-step LSTM model for flood runoff prediction: a case study on the Godavari River Basin in India

Nikita Garg; Srishti Negi; Ridhima Nagar; Shruthi Rao; Seeja K. R.

Journal of Water and Climate Change (1 October 2023) 14 (10): 3635–3647.

DOI: https://doi.org/10.2166/wcc.2023.374

 

 

Effects of climate change on streamflow in the Dez Basin of Iran using the IHACRES model based on the CMIP6 model

Mohammad Reza Goodarzi; Mohammad Javad Abedi; Majid Niazkar

Journal of Water and Climate Change (1 June 2024) 15 (6): 2595–2611.

DOI: https://doi.org/10.2166/wcc.2024.571

 

 

Bias correction and projection of temperature over the altitudes of the Upper Indus Basin under CMIP6 climate scenarios from 1985 to 2100

Kashif Jamal; Xin Li; Yingying Chen; Muhammad Rizwan; Muhammad Adnan Khan; Zain Syed; Prince Mahmood

Journal of Water and Climate Change (1 July 2023) 14 (7): 2490–2514.

DOI: https://doi.org/10.2166/wcc.2023.180

 

 

Hydroclimatic projection: statistical learning and downscaling model for rainfall and runoff forecasting

Shweta Kodihal; M. P. Akhtar; Satya Prakash Maurya

Journal of Water and Climate Change (1 February 2024) 15 (2): 759–772.

DOI: https://doi.org/10.2166/wcc.2024.562

 

 

Reason for less water supply shortages under climate change condition: evaluation of future rainfall data

Jeong-Hyeok Ma; Chulsang Yoo; Wooyoung Na; Jong-Sub Lee

Journal of Water and Climate Change (1 October 2023) 14 (10): 3855–3877.

DOI: https://doi.org/10.2166/wcc.2023.469

 

 

Investigating the projected changes in water balance components under climate change considering the effect of storage structures

Saswata Nandi; Manne Janga Reddy

Journal of Water and Climate Change (1 May 2024) 15 (5): 1981–2000.

DOI: https://doi.org/10.2166/wcc.2024.371

 

 

Application of machine learning models in assessing the hydrological changes under climate change in the transboundary 3S River Basin

Quyen Nguyen; Sangam Shrestha; Suwas Ghimire; S. Mohana Sundaram; Wenchao Xue; Salvatore G. P. Virdis; Manisha Maharjan

Journal of Water and Climate Change (1 August 2023) 14 (8): 2902–2918.

DOI: https://doi.org/10.2166/wcc.2023.313

 

 

Bias correction of ERA5-Land temperature data using standalone and ensemble machine learning models: a case of northern Italy

Majid Niazkar; Reza Piraei; Andrea Menapace; Pranav Dhawan; Daniele Dalla Torre; Michele Larcher; Maurizio Righetti

Journal of Water and Climate Change (1 January 2024) 15 (1): 271–283.

DOI: https://doi.org/10.2166/wcc.2023.669

 

 

Statistical analysis of climate change over Hanumangarh district

Shahid Patel; Darshan Mehta

Journal of Water and Climate Change (1 June 2023) 14 (6): 2029–2041.

DOI: https://doi.org/10.2166/wcc.2023.227

 

 

Assessing the utility of hybrid hydrological modeling over complex conditions of the Chitral basin, Pakistan

Zain Syed; Prince Mahmood; Sajjad Haider; Shakil Ahmad

Journal of Water and Climate Change (1 December 2023) 14 (12): 4444–4464.

DOI: https://doi.org/10.2166/wcc.2023.256

 

 

Forecasting of water quality parameters of Sandia station in Narmada basin, Central India, using AI techniques

Deepak Kumar Tiwari; K. R. Singh; Vijendra Kumar

Journal of Water and Climate Change (1 March 2024) 15 (3): 1172–1183.

DOI: https://doi.org/10.2166/wcc.2024.520

 

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