Special Issue "Hydrology and Climate-Change Impact Assessment and Adaptation"

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Air, Climate Change and Sustainability".

Deadline for manuscript submissions: 12 January 2022.

Special Issue Editor

Dr. Tirupati Bolisetti
E-Mail Website
Guest Editor
Department of Civil and Environmental Engineering, University of Windsor, Windsor, ON N9B3P4, Canada
Interests: the development of mathematical models for assessing climate change’s impacts on water resources, water infrastructure, hydropower, and agricultural productivity, and developing adaptation strategies.

Special Issue Information

Dear Colleagues,

According to the IPCC 5th Assessment Report and other subsequent reports from the IPCC, it is unequivocal that the increasing emissions of greenhouse gases are leading to climate change. This is having a profound effect on water resources, which in turn are having a significant impact on socioeconomic and political scenarios. The changing climatic conditions are projected to cause an increased number of extreme weather events, such as cyclones, hurricanes, and typhoons, leading to floods on the one hand and extreme droughts on the other. These, in turn, impact ecosystems, water quality, agricultural productivity, and infrastructure service conditions.

Sustainability aims to bring out a Special Issue compiling recent research and developments across the globe in this area. Researchers are invited to submit their papers/contributions in the following areas:

  • Mathematical modeling methods for assessing climate change’s impacts on hydrology and water quality—innovative approaches to modeling chains, bias-correction methods for climate models, and uncertainty assessment.
  • Case studies to assess the impacts of climate change on water, infrastructure, agriculture, and ecosystems.
  • The development of new computational tools and frameworks, such as data-driven approaches, big data, machine learning, and artificial intelligence, to name a few.
  • Databases—intensive datasets are often required to validate the models. These datasets are often available for North American and European watersheds. Any datasets from intensely monitored watersheds from Asia, Africa and South America are of immense use.
  • Adaptation strategies: the development of methodological frameworks and real-life case studies for adaptation strategies to mitigate the impacts of climate change.

Dr. Tirupati Bolisetti
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • climate-change impacts
  • climate adaptation
  • hydrological modeling
  • bias correction
  • uncertainty

Published Papers (1 paper)

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Predicting the Areas of Suitable Distribution for Zelkova serrata in China under Climate Change
Sustainability 2021, 13(3), 1493; https://0-doi-org.brum.beds.ac.uk/10.3390/su13031493 - 01 Feb 2021
Cited by 1 | Viewed by 664
Predicting the geographic distribution of a species together with its response to climate change is of great significance for biodiversity conservation and ecosystem sustainable development. Zelkova serrata is an excellent shelterbelt tree species that is used for soil and water conservation due to [...] Read more.
Predicting the geographic distribution of a species together with its response to climate change is of great significance for biodiversity conservation and ecosystem sustainable development. Zelkova serrata is an excellent shelterbelt tree species that is used for soil and water conservation due to the fact of its well-developed root system, strong soil fixation, and wind resistance. However, the wild germplasm resources of Z. serrata have been increasingly depleted due to the fact of its weak ability to regenerate naturally and the unprecedented damage humans have caused to the natural habitats. The present work using Maxent aimed to model the current potential distribution of this species as well as in the future, assess how various environmental factors affect species distribution, and identify the shifts in the distribution of this species in various climate change scenarios. Our findings show habitat in provinces in the southern Qinling and Huai river basins have high environmental suitability. Temperature seasonality, annual precipitation, annual mean temperature, and warmest quarter precipitation were the most important factors affecting its distribution. Under a climate change scenario, the appropriate habitat range showed northeastward expansion geographically. The results in the present work can lay the foundation for the cultivation and conservation of Z. serrata. Full article
(This article belongs to the Special Issue Hydrology and Climate-Change Impact Assessment and Adaptation)
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