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Advances in Hydrological Modelling, Quantitative Analysis and Prediction for a Changing Environment

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 11571

Special Issue Editors

Dr. Yunqing Xuan

E-Mail Website
Guest Editor
Zienkiewicz Centre for Computational Engineering, College of Engineering, Swansea University, Singleton Park, Swansea SA2 8PP, UK
Interests: hydro-meteorological modeling; extreme hydrological events; climate change impact; flood risk management; uncertainty modeling
Special Issues, Collections and Topics in MDPI journals
Dr. Zhiyong Liu

E-Mail Website
Guest Editor
Center for Water Resources and Environment, School of Civil Engineering, Sun Yat-sen University, Guangzhou 510275, China
Interests: extreme climate dynamics associated with hydrological and underlying responses
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Hongyan Li

E-Mail Website
Guest Editor
College of Environment and Resources, Jilin University, No. 2519 Jiefang Road, Changchun 130021, China
Interests: basin hydrological cycle and water resources evolution; prediction and forecast of hydrology and water resources; basin hydrological factors responses to climate change; calculating theory and method of evapotranspiration
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Over the last two decades, there has been a huge increase in hydrological model applications with a focus on global changes, particularly on water resources and the impact on regional hydrological processes, among which the evaluation of the climate change impact has been a major area. Many research findings have improved our understanding of global change with sound evidence.

As we move to a post-COP21 world with a consensus of a climate emergency, the need for more insight into understanding the hydrological processes and their interactions with a changing global environment has never been so intense. We also have to face many new modelling paradigms, as applications of AI and machine learning, as well as the challenges of utilizations of existing large datasets, have gradually gained momentum.

We are aware that many researchers have been working hard in this field and have already made remarkable progress. Thus, we are organizing this Special Issue and cordially invite researchers and practitioners in the wider modelling community to submit research papers related (but not limited) to the following aspects:

  1. Progress in modelling hydrological processes in a changing environment
  2. New model structure and design to address the social dimensions and interactions when building societal resilience to the changing environment
  3. Utilization and mining of large environment datasets to support environment change prediction and planning using data-centric techniques
  4. Identification and prediction of abrupt environment changes, e.g., from floods to droughts.
  5. The role of hydrological modelling in mitigating and building resilience to the hazards caused by environmental change
  6. Hydrological prediction and hydrological uncertainty analysis based on probabilistic perspectives.

We are confident that with your contribution, we will be able to publish a valuable set of works that can address the knowledge gaps and the skill sets needed, and, in the meantime, help advance our understanding of these challenges. We are aware of the current challenging situation. Should you need extra support or advice on manuscript preparation, please get in touch.

Dr. Yunqing Xuan
Dr. Zhiyong Liu
Prof. Dr. Hongyan Li
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

  • hydrological modelling
  • global environment change
  • human interactions
  • abrupt change
  • prediction
  • resilience and mitigation

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (4 papers)

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Research

19 pages, 5973 KiB  
Article
Estimation of Hydrological Components under Current and Future Climate Scenarios in Guder Catchment, Upper Abbay Basin, Ethiopia, Using the SWAT
by Tewekel Melese Gemechu, Hongling Zhao, Shanshan Bao, Cidan Yangzong, Yingying Liu, Fengping Li and Hongyan Li
Sustainability 2021, 13(17), 9689; https://doi.org/10.3390/su13179689 - 29 Aug 2021
Cited by 12 | Viewed by 4536
Abstract
Changes in hydrological cycles and water resources will certainly be a direct consequence of climate change, making the forecast of hydrological components essential for water resource assessment and management. This research was thus carried out to estimate water balance components and water yield [...] Read more.
Changes in hydrological cycles and water resources will certainly be a direct consequence of climate change, making the forecast of hydrological components essential for water resource assessment and management. This research was thus carried out to estimate water balance components and water yield under current and future climate change scenarios and trends in the Guder Catchment of the Upper Blue Nile, Ethiopia, using the soil and water assessment tool (SWAT). Hydrological modeling was efficaciously calibrated and validated using the SUFI-2 algorithm of the SWAT model. The results showed that water yield varied from 926 mm to 1340 mm per year (1986–2016). Regional climate model (RCM) data showed, under representative concentration pathways (RCP 8.5), that the precipitation will decrease by up to 14.4% relative to the baseline (1986–2016) precipitation of 1228 mm/year, while the air temperature will rise under RCP 8.5 by +4.4 °C in the period from 2057 to 2086, possibly reducing the future basin water yield output, suggesting that the RCP 8.5 prediction will be warmer than RCP 4.5. Under RCP 8.5, the total water yield from 2024 to 2086 may be reduced by 3.2 mm per year, and a significant trend was observed. Local government agencies can arrange projects to solve community water-related issues based on these findings. Full article
(This article belongs to the Special Issue Advances in Hydrological Modelling, Quantitative Analysis and Prediction for a Changing Environment)
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20 pages, 9950 KiB  
Article
Optimization of Groundwater Exploitation in an Irrigation Area in the Arid Upper Peacock River, NW China: Implications for Sustainable Agriculture and Ecology
by Yujuan Su, Fengtian Yang, Yaoxuan Chen, Pan Zhang and Xue Zhang
Sustainability 2021, 13(16), 8903; https://doi.org/10.3390/su13168903 - 9 Aug 2021
Cited by 6 | Viewed by 1953
Abstract
Groundwater is the main irrigation water source in the Upper Peacock River. As fast enlargement of irrigation areas continues in recent years, the groundwater level declines continuously and has posed a threat to the sustainability of local agriculture and ecology. A numerical model [...] Read more.
Groundwater is the main irrigation water source in the Upper Peacock River. As fast enlargement of irrigation areas continues in recent years, the groundwater level declines continuously and has posed a threat to the sustainability of local agriculture and ecology. A numerical model was established with the code MODFLOW–2000 in order to predict the declining trend of groundwater level and formulate measures to counter the overexploitation, in which the river–aquifer interaction was elaborated and characterized by field survey. The results show that under current intensity of groundwater withdrawal, the levels of both unconfined and confined waters would decline continuously in 7 years from 2015. To stop the groundwater level from declining on the regional scale, the withdrawal rate should be compressed by 45% with respect to that in 2015. Moreover, taking consideration of the constraint of maintaining the ecological water level in the vicinity of the Euphrates Poplar forest in the study area, the withdrawal rate should be compressed 70% for seven towns around the forest. Full article
(This article belongs to the Special Issue Advances in Hydrological Modelling, Quantitative Analysis and Prediction for a Changing Environment)
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16 pages, 16652 KiB  
Article
Impacts of NO2 Impurities on the Indigenous Microbial Community Structure and Diversity in CO2-Saline-Sandstone Interaction System
by Chenyang Li, Yunpeng Song, Yongjuan Zhu, Qingwei Meng and Ying Lyu
Sustainability 2021, 13(11), 5916; https://doi.org/10.3390/su13115916 - 24 May 2021
Cited by 1 | Viewed by 1766
Abstract
Laboratory experiments (150 days) were performed to analyze the influence of NO2 impurities on indigenous microbial communities and diversity with 16S rRNA sequence at real GCS site (Geological CO2 Sequestration, ordos, China) conditions (pressure: 15 MPa, temperature: 55 °C). The possible [...] Read more.
Laboratory experiments (150 days) were performed to analyze the influence of NO2 impurities on indigenous microbial communities and diversity with 16S rRNA sequence at real GCS site (Geological CO2 Sequestration, ordos, China) conditions (pressure: 15 MPa, temperature: 55 °C). The possible impact of metabolic activity on the GCS process was investigated through the BLASTn search. Compared with the pure CO2, results demonstrate that the biomass and biodiversity were lower, due to the lower pH, within 60 days after the co-injection of 0.1% NO2. Subsequently, the pH was quickly buffered through the corrosion of feldspar and clay, and the impact of NO2 had almost no obvious effect on the microbial structure except the abundance of phylum and genus after 90 days. In addition, acid-producing bacteria appeared after 60 days, such as Bacillus, Acinetobacter, and Lactococcus, etc., lower the pH in the solution and accelerate the dissolution of minerals. The Fe (III)-reducing microbes Citrobacter freundii reduce the Fe (III) released from minerals to Fe (II) and induce siderite (FeCO3) biomineralization through biogeochemical processes. Therefore, the co-injection of trace NO2 will not significantly affect the growth of microorganisms on long timescale. Full article
(This article belongs to the Special Issue Advances in Hydrological Modelling, Quantitative Analysis and Prediction for a Changing Environment)
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17 pages, 5414 KiB  
Article
Simulating the Shallow Groundwater Level Response to Artificial Recharge and Storage in the Plain Area of the Daqing River Basin, China
by Guangyao Chi, Xiaosi Su, Hang Lyu, Guigui Xu, Yiwu Zhang and Ningfei Li
Sustainability 2021, 13(10), 5626; https://doi.org/10.3390/su13105626 - 18 May 2021
Cited by 8 | Viewed by 2137
Abstract
Water shortage and overexploitation of groundwater (GW) have become the key factors restricting the development of the Xiongan New Area (XNA), the environmental management of Baiyangdian Lake, and the social and economic development of surrounding areas. This study used a numerical GW flow [...] Read more.
Water shortage and overexploitation of groundwater (GW) have become the key factors restricting the development of the Xiongan New Area (XNA), the environmental management of Baiyangdian Lake, and the social and economic development of surrounding areas. This study used a numerical GW flow model to quantitatively analyze the changes to the shallow GW level and GW reserves of the plain area of the Daqing River Basin over the next 15 years (2021–2035) under different artificial recharge schemes with the south to north water diversion project (SNWDP) acting as the GW recharge source. The results showed increasing GW storage and GW levels and that the regional GW resources are in a positive equilibrium state. The rates of change of the well irrigation supply scheme and the joint river-well irrigation supply scheme in the XNA will increase by 14.56% and 11.04% by 2035 as compared with the current situation. The well irrigation recharge scheme for the XNA was determined to be the most effective when comparing with the effects of the different artificial recharge schemes on the GW levels and recharge. This study provides a reference for the management and protection of aquifers in other areas suffering serious GW overexploitation. Full article
(This article belongs to the Special Issue Advances in Hydrological Modelling, Quantitative Analysis and Prediction for a Changing Environment)
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