Forthcoming and Online First Articles

International Journal of Water

International Journal of Water (IJW)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

Forthcoming articles must be purchased for the purposes of research, teaching and private study only. These articles can be cited using the expression "in press". For example: Smith, J. (in press). Article Title. Journal Title.

Articles marked with this shopping trolley icon are available for purchase - click on the icon to send an email request to purchase.

Online First articles are published online here, before they appear in a journal issue. Online First articles are fully citeable, complete with a DOI. They can be cited, read, and downloaded. Online First articles are published as Open Access (OA) articles to make the latest research available as early as possible.

Open AccessArticles marked with this Open Access icon are Online First articles. They are freely available and openly accessible to all without any restriction except the ones stated in their respective CC licenses.

Register for our alerting service, which notifies you by email when new issues are published online.

International Journal of Water (2 papers in press)

Regular Issues

  • Integrated Water Resource Management in Iraq: balancing supply, demand, and distribution losses   Order a copy of this article
    by Sarah Al-Jarjees 
    Abstract: Iraq faces significant water scarcity challenges due to a combination of external and internal factors, including upstream water diversions, aging infrastructure, and climate variability. This study provides an integrated analysis of Iraq's water resource management, examining the balance between supply, demand, and water losses in both northern and southern regions. Using data from official sources, the study highlights the declining water imports from the Tigris and Euphrates, regional disparities in water production, and the rising inefficiencies in water distribution networks. The analysis emphasizes the need for infrastructure modernization and investment in alternative water technologies to ensure Iraq’s water security. Recommendations include upgrading distribution systems, expanding desalination capacity, and adopting Integrated Water Resource Management (IWRM) strategies to mitigate the impacts of water scarcity and improve long-term sustainability.
    Keywords: water resources management; water security; water scarcity; Iraq; sustainable water management; climate change impact; water conservation; potable water production.
    DOI: 10.1504/IJW.2025.10070785
     
  • Ensemble learning based flood forecasting models for the northern districts of Bihar   Order a copy of this article
    by Vikas Mittal, T.V. Vijay Kumar, Aayush Goel 
    Abstract: Over a past few decades, global warming and climate change has led to change in the relationship between various environmental parameters. As a result, significant increase in the number of occurrence and frequency of various natural hazards, such as floods, can be observed globally. In recent years, floods have become the most perennial natural hazard in India and has resulted in loss to lives and property. Further, continuously changing weather patterns make forecasting of such hazards difficult. In order to capture the changing dynamics of weather parameters and accurate forecasting, several machine learning based flood forecasting models have been proposed in the literature. In this paper, ensemble learning techniques have been used to design the flood forecasting models for the Northern Districts of Bihar. Experimental results showed that these proposed models performed comparatively better than the existing flood forecasting models on performance metrics like accuracy, precision, recall, F-measure and AuC-RoC.
    Keywords: global warming; natural hazards; disaster; floods; forecasting; ensemble learning.
    DOI: 10.1504/IJW.2025.10071809
     

 

Return to top