Hydrological Modeling and Assessment of Meteorological and Geological Hazards

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrology".

Deadline for manuscript submissions: 20 June 2025 | Viewed by 2639

Special Issue Editors


E-Mail Website
Guest Editor
1. Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region, Ministry of Education, Chang’an University, Xi’an, China
2. School of Water and Environment, Chang’an University, Xi’an, China
Interests: soil environmental quality; soil erosion; hydrology ecology; geological disaster
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Water and Environment, Chang’an University, Xi’an 710054, China
Interests: hydraulic engineering; hydrology and water resources; environmental engineering
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, rapid population growth has led to enormous amounts of pressure being put on resources and the environment. Continuous human activities and climate change have caused the deterioration of ecological environments, resulting in a series of meteorological, geological, and other natural disasters. Disaster prevention and reduction is a common goal pursued by all countries in the world. In natural disaster risk monitoring and assessment, hydrological ecological models and risk assessment indicators can give full consideration to the advantages of numerical simulation, correlation analysis, and generalized reasoning methods and have been widely used in the past 20 years. Understanding the impact of human activities and climate change in key regions is conducive to regional natural disaster risk management, the establishment of a natural disaster risk assessment system, and the provision of scientific support for disaster prevention and reduction. However, controlling disaster risk completely seems impractical, especially since quantifying human activities is often difficult. In these cases, reliable methods such as hydrological models and numerical simulations seem to be the most promising way to reduce natural disasters and increase social resilience.

Given this scientific framework, we would like to invite scientists involved in this research field to contribute to this Special Issue, which will broadly focus on the analysis, evaluation, and simulation of natural disasters caused by climate change, human activities, or other drivers, including the risk management and assessment of meteorological disasters and geological disasters. Therefore, manuscripts dealing with case studies of climate change simulation, the impacts of human activities, large-scale or regional drought disasters, the assessment of geological environment trends, and risk analysis of natural disasters at different scales will also be welcomed.

Prof. Dr. Aidi Huo
Prof. Dr. Pingping Luo
Dr. Chunli Zheng
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. Water 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 2600 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

  • climate change
  • meteorological and geological disaster
  • risk assessment
  • hydrological simulation

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

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

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

18 pages, 4808 KiB  
Article
Spatiotemporal Variation of Soil Erosion in the Northern Foothills of the Qinling Mountains Using the RUSLE Model
by Yuxiang Cheng, Aidi Huo, Feng Liu, Adnan Ahmed, Mohamed EL-Sayed Abuarab, Ahmed Elbeltagi and Dmitri Evgenievich Kucher
Water 2024, 16(15), 2187; https://doi.org/10.3390/w16152187 - 1 Aug 2024
Viewed by 947
Abstract
The Qinling region in central China, known as the ‘Dragon Vein of China’, is a vital ecological barrier facing significant soil erosion challenges. This study aims to enhance soil erosion management and analyse the spatiotemporal changes of soil erosion in the northern foothills [...] Read more.
The Qinling region in central China, known as the ‘Dragon Vein of China’, is a vital ecological barrier facing significant soil erosion challenges. This study aims to enhance soil erosion management and analyse the spatiotemporal changes of soil erosion in the northern foothills of the Qinling Mountains. We collected data on precipitation, terrain, land use types, and soil in the designated region. Using GIS technology and the Revised Universal Soil Loss Equation (RUSLE) model, we created a detailed soil erosion map and analysed its evolution from 2018 to 2022. Results show a significant reduction in soil erosion in 2020–2021 despite a general upward trend in other years. Innovation includes integrating remote sensing with RUSLE for high-precision mapping and introducing a hierarchical approach for erosion risk assessment. The study found erosion peaks in summer and autumn, with higher levels in the southern parts compared to the northern parts. Influential factors include climate variables, human activities, soil, and vegetation types. The average soil erosion modulus in 2023 is 233.515 t/(km2·a), with total soil erosion of 85,233.046 t/a, mainly concentrated in the valley and mountain basin areas. This research provides a theoretical basis for improving the natural environment and implementing comprehensive soil and water conservation measures in the Qinling region, offering a model for similar ecological regions globally. Full article
Show Figures

Figure 1

12 pages, 4680 KiB  
Article
Spatial Differentiation and Influencing Factors Analysis of Drought Characteristics Based on the Standardized Precipitation Index: A Case Study of the Yellow River Basin
by Qi Liu, Aidi Huo, Zhixin Zhao, Xuantao Zhao, Nazih Yacer Rebouh and Chenxu Luo
Water 2024, 16(10), 1337; https://doi.org/10.3390/w16101337 - 8 May 2024
Cited by 3 | Viewed by 1171
Abstract
It is crucial to identify drought characteristics and determine drought severity in response to climate change. Aiming at the increasingly serious drought situation in the Yellow River Basin, this study firstly selected the standardized precipitation index (SPI) and streamflow drought index (SDI) to [...] Read more.
It is crucial to identify drought characteristics and determine drought severity in response to climate change. Aiming at the increasingly serious drought situation in the Yellow River Basin, this study firstly selected the standardized precipitation index (SPI) and streamflow drought index (SDI) to analyze the characteristics of drought seasons, then identified the frequency, duration, and intensity of drought based on the run theory, and finally recognized the abrupt changing and driving factors of major drought events in specific years by the Mann–Kendall trend test. The conclusions showed the following: (1) The drought in the downstream of the Yellow River Basin was more severe than that in the upstream. The drought characteristics showed significant regional differentiation and deterioration. (2) The drought intensity and duration had an obvious spatial correlation. Compared with the other seasons, the drought duration and severity in spring and autumn were the most serious, and in winter, they showed an aggravating trend. (3) According to a time series analysis of drought conditions in the Yellow River Basin, the worst drought occurred in 1997–2001 with the least rainfall on record and a sudden rise in temperatures. This study could provide a scientific reference for agricultural drought disaster prevention and mitigation. Full article
Show Figures

Figure 1

Back to TopTop