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Sustainable Water Resources Management under Climate Change
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Sustainable Water Resources Management under Climate Change

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Resources and Sustainable Utilization".

Deadline for manuscript submissions: closed (30 April 2022) | Viewed by 5064

Special Issue Editors

Dr. Hyung-Il Eum

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Guest Editor
Resource Stewardship Division, Alberta Environment and Parks, Calgary AB T2E 7J2, Canada
Interests: climate change impacts at a watershed scale; statistical downscaling; integrated watershed modeling; water resources system
Dr. Jang Hyun Sung

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Guest Editor
Han River Flood Control Office, Ministry of Environment, Seoul 06501, South Korea
Interests: climate change impact; deep learning; streamflow drought; water resource allocation
Prof. Dr. Seung Beom Seo

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Guest Editor
International School of Urban Sciences, University of Seoul, Seoul 02504, South Korea
Interests: climate change impact; stochastic generation; uncertainty quantification; drought management; water policy; reservoir operation

Special Issue Information

Dear Colleagues,

During the past several decades, we have experienced unprecedented extreme climate events mainly driven by climate change, leading to a huge challenge in water resources management. The altered climate regime has been considered as the main driver of more frequent and severe natural disasters such as flood, typhoon, and drought. Thus, sustainable water resources planning and management are essential for the safety and security of water resources. For this purpose, we need to evaluate trends in historical and projected climate variables from the most reliable observations and up-to-date climate models. Furthermore, inherent uncertainties in future projections also need to be quantified for robust adaptations to climate change.

This Special Issue aims to discuss sustainable water resources planning and management under climate change. A wide range of relevant topics will be welcome, such as trend and frequency analysis of extreme events, sustainable planning and management to cope with climate changes, climate change modelling, uncertainty analysis, risk assessment, etc. In particular, it is preferred to employ the up-to-date CMIP6 (Coupled Model Intercomparison Project phase 6) experiments that have recently been released and are now available. The CMIP is an international collaborative effort to improve and share the knowledge about climate change, and a number of different global climate models participate in this project. Research articles and case studies that implement comparisons between the CMIP6 and CMIP5 projections could provide useful information on the interpretation of the CMIP6 projection results. However, articles that employ CMIP5 projections will be also welcome.

Therefore, a variety of research articles, case studies, and review articles are invited to be submitted to this Special Issue in order to highlight and share the innovative findings regarding sustainable water resources management under a changing climate.

Dr. Hyung-Il Eum
Dr. Jang Hyun Sung
Prof. Dr. Seung Beom Seo
Guest Editors

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 submissions that pass pre-check are 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 2400 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.

Keywords

  • trend analysis, detecting and monitoring climate change signals
  • climate change projections, alteration of the climate regime, CMIP6 simulations/projections
  • climate change impacts, frequency analysis of natural hazards
  • sustainable water supply, water resources management, natural hazard management
  • hydrological modeling, climate change modeling
  • uncertainty quantification
  • adaptations to climate change, climate change mitigation

Published Papers (2 papers)

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Research

18 pages, 5201 KiB  
Article
Ensemble Climate and Streamflow Projections for the Assiniboine River Basin, Canada
by Muhammad Rehan Anis and David J. Sauchyn
Sustainability 2022, 14(11), 6487; https://doi.org/10.3390/su14116487 - 25 May 2022
Cited by 2 | Viewed by 2240
Abstract
The Assiniboine River Basin (ARB) is subject to an exceptionally variable precipitation regime of the Canadian Prairies, ranging between record droughts and unprecedented flooding in just the past decade. To assess the impact of a changing climate on hydroclimate variability in the ARB, [...] Read more.
The Assiniboine River Basin (ARB) is subject to an exceptionally variable precipitation regime of the Canadian Prairies, ranging between record droughts and unprecedented flooding in just the past decade. To assess the impact of a changing climate on hydroclimate variability in the ARB, we used the bias–corrected simulations from the Canadian Regional Climate Model (CanRCM4) to drive MESH model for two 60–year periods, a historical baseline (1951–2010) and future projection (2041–2100), under the Representative Concentration Pathway (RCP) 8.5 to simulate ARB flows at eight hydrometric stations. The precipitation is projected to increase in every season (~10–38%) except for summer (~−1–−5%). Minimum winter and maximum summer temperatures have the largest seasonal trends, increasing by 2–3 °C in the near future (2021–2050) and 5–6 °C in the far future (2051–2080). These climate changes produce higher winter river flows while peak runoff shifts by several weeks to earlier in the year. There is a shift in the magnitude and timing of extreme water levels. The ensemble of climate projections from a single model and one RCP to the variability and uncertainty in the future hydrology supports adaptation planning in the industrial sectors of Saskatchewan’s economy. Full article
(This article belongs to the Special Issue Sustainable Water Resources Management under Climate Change)
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15 pages, 5304 KiB  
Article
Effects of Hydro-Meteorological Factors on Streamflow Withdrawal for Irrigation in Yeongsan River Basin
by Jang Hyun Sung, Donghae Baek, Young Ryu, Seung Beom Seo and Kee-Won Seong
Sustainability 2021, 13(9), 4969; https://doi.org/10.3390/su13094969 - 28 Apr 2021
Cited by 6 | Viewed by 1655
Abstract
The relationships between a variety of hydro-meteorological variables and irrigation water use rates (WUR) were investigated in this study. Standardized Precipitation Index (SPI), Potential Evapotranspiration (PET), and Normalized Difference Vegetation Index (NDVI) were explored to identify the relationship with the WUR. The Yeongsan [...] Read more.
The relationships between a variety of hydro-meteorological variables and irrigation water use rates (WUR) were investigated in this study. Standardized Precipitation Index (SPI), Potential Evapotranspiration (PET), and Normalized Difference Vegetation Index (NDVI) were explored to identify the relationship with the WUR. The Yeongsan river basin, the agricultural land of which is mostly occupied by well-irrigated paddy, was used for the pilot study. Four different temporal scales of SPI-3, 6, 9, and 12 were tested, and PET was calculated using the Thornthwaite method. To calculate NDVI, the surface spectral reflectance data, which was acquired by Moderate Resolution Imaging Spectroradiometer (MODIS) equipped on the Terra satellite, were used. As a result, there was a statistically significant relationship between SPI9 and the WUR during drought periods in which negative values of SPI9 were obtained. The WUR was strongly correlated with both PET and NDVI. Compared with SPI, the variability of WUR in this study area was more sensitively affected by PET and NDVI, which can cause a potential lack of agricultural water supply. The finding of this study implies that SPI9, PET, and NDVI are the critical factors for predicting water withdrawal during drought conditions so that they can be used for irrigational water use management. Although a part of the findings of this study has been discussed by a few previous studies, this study is novel in that it quantifies the relationship between these factors using actual field observations of streamflow withdrawal for irrigation. Full article
(This article belongs to the Special Issue Sustainable Water Resources Management under Climate Change)
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