Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.5
3.4
Journals
Water
Special Issues
Hydrological Response to Climate Change
share announcement

Hydrological Response to Climate Change

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

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 10715

Special Issue Editors

Prof. Dr. Lanhai Li

E-Mail Website
Guest Editor
Tianshan Station for Snowcover and Avalanche Research, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
Interests: hydrological modeling; hydrogeological hazard; snow dynamics; climate change impacts
Prof. Dr. Ligang Xu

E-Mail Website
Guest Editor
Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
Interests: ecohydrology; carbon sequestration; soil organic carbon; wetlands
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Hydrological processes have been the most important aspect related to studying the impact of climate change on hydrology for global hydrological communities. Although monitoring and modeling techniques have been advanced in recent decades, the mechanism of the hydrological cycle as well as the relationship among soil-, vegetation-, and climate change has not been fully understood due to the lack of effective models and in situ observation data. The theme of this Special Issue is “Hydrological Response to Climate Change”, which focuses on monitoring and modeling techniques of hydrological processes, the driving factors of hydrological cycle, and the impact of climate change on regional hydrological resources in different scales. The authors of the world's hydrological communities are welcome to submit appropriate manuscripts. Topics to be addressed include but are not limited to the following:

  1. In-situ and remote sensing observation of hydrological processes, including but not limited to precipitation, evapotranspiration, soil moisture, snow-water equivalent, surface runoff, and groundwater.
  2. Hydrological models and simulation tools that can be used to simulate hydrological processes and their responses to climate change.
  3. Simulation of hydrological processes and changes in different scales in different climatic regions.
  4. The relationship between extreme climate and extreme hydrological events.

Climate change has significantly influenced the hydrological cycle, and hydrological responses to climate change have many implications on water resource management and adaptation. Considerable evidence has shown that climate change has resulted in longer dry seasons, shorter rainy seasons, and more floods and droughts in tropic and subtropic zones, and reduced snow cover and its duration as well as snowfall/rainfall ratio in high-latitude regions and alpine mountains. The hydrological response to climate change can be investigated through in-situ and remote sensing observation of hydrological components, and through the hydrological model of the response of different components of hydrological cycle, which includes precipitation, soil moisture, evapotranspiration, base flow, precipitation form, groundwater recharge, and runoff. This Special Issue will report on the progress and findings of hydrological responses to climate change.

Prof. Dr. Lanhai Li
Prof. Dr. Ligang Xu
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
  • hydrological model
  • watersheds
  • precipitation
  • evapotranspiration
  • baseflows
  • runoff
  • water resources management
  • snowpack

Published Papers (4 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

17 pages, 4383 KiB  
Article
Attribution Analysis of Runoff in the Upper Reaches of Jinsha River, China
by Le Wang, Hui Cao, Yurong Li, Baofei Feng, Hui Qiu and Hairong Zhang
Water 2022, 14(17), 2768; https://0-doi-org.brum.beds.ac.uk/10.3390/w14172768 - 05 Sep 2022
Cited by 3 | Viewed by 1819
Abstract
The upper Jinsha River is an important ecological reserve and hydropower energy base in China. This paper uses relative importance analysis to analyze the causes of runoff changes from the perspectives of early runoff, rainfall, snowfall, evaporation and soil water content. The results [...] Read more.
The upper Jinsha River is an important ecological reserve and hydropower energy base in China. This paper uses relative importance analysis to analyze the causes of runoff changes from the perspectives of early runoff, rainfall, snowfall, evaporation and soil water content. The results show that the factors influencing runoff in the upper Jinsha River are complex and have significant spatial and temporal heterogeneity. From November to March, the main factor is the runoff in the preceding month, the contribution of which can be more than 85%; from April to May, the runoff is significantly affected by snow, and its contribution in May is more than 65%. The snow affecting the runoff is mainly located near Gangtuo station and Batang station, and its influence has a time lag of about one month, In June, the influence factors of the runoff are quite complicated, and the contribution of the early runoff, rainfall, snow, evaporation and soil water content is relatively close; from July to September, the runoff is mainly influenced by the rainfall above Batang station, its average contribution being more than 50% and higher than 80% in August. Runoff in July and August is mainly affected by the rainfall in the same period, and in September is mainly affected by the rainfall in the preceding month. In October, the main influence factors are runoff and rainfall of the preceding month, and their contributions are more than 70%. Full article
(This article belongs to the Special Issue Hydrological Response to Climate Change)
►▼ Show Figures

Figure 1

25 pages, 7849 KiB  
Article
Modelling Water Flow and Soil Erosion in Mediterranean Headwaters (with or without Check Dams) under Land-Use and Climate Change Scenarios Using SWAT
by Demetrio Antonio Zema, Bruno Gianmarco Carrà, Manuel Esteban Lucas-Borja, Pasquale Giuseppe Fabio Filianoti, Pedro Pérez-Cutillas and Carmelo Conesa-García
Water 2022, 14(15), 2338; https://0-doi-org.brum.beds.ac.uk/10.3390/w14152338 - 28 Jul 2022
Cited by 9 | Viewed by 1841
Abstract
The use of check dams is a common strategy to reduce soil erosion in the Mediterranean headwaters. However, the effects of these control works on water flow rates and sediment yields have been scarcely investigated under possible scenarios of climate and land-use changes. [...] Read more.
The use of check dams is a common strategy to reduce soil erosion in the Mediterranean headwaters. However, the effects of these control works on water flow rates and sediment yields have been scarcely investigated under possible scenarios of climate and land-use changes. On this regard, the use of hydrological models, such as SWAT, provide reliable hydrological predictions under variable environmental conditions. To fill this gap, this study has evaluated the effectiveness of check dams on the hydrological response of a forest headwater in Calabria (Southern Italy) in comparison with an unregulated subcatchment with very similar environmental conditions. In this regard, the effects of different combined scenarios of climate change (through three GCMs and two RCPs applied to a time period of the next 80 years) and land use (forest, pasture, and cropland) on water flow rates and sediment yields in the two headwaters were analysed using the SWAT model. The SWAT model was first calibrated in a third headwater with very similar climatic, soil, and land-use conditions, and this verification showed a satisfactory prediction capacity of water flow rate. The water flow rate prediction capacity of the model was satisfactory (coefficients of determination and efficiency of Nash and Sutcliffe equal to 0.71 and 0.67, respectively, and percent bias of 14.9%). No significant differences were detected for the water flow rates and sediment yields between the two subcatchments (with or without check dams) among the different land-use and climate change scenarios. This was linked to the low hydrological response of both headwaters to the forcing actions, which influenced the low effectiveness of the control works. SWAT estimated higher values of both mean and maximum values of water flow rates and sediment yields under RCP2.6 compared with RCP8.5. Both water flow rates and sediment yields were predicted to be very low under all climate and land-use scenarios. The regulated headwater with check dams was predicted to always produce more runoff and erosion compared with the subcatchment without check dams. The increases were predicted to be up to 60% for the maximum flow rate and 30–35% for the sediment yield in forest land use under RCP2.6. Although there was a limitation in this study due to the lack of validation of the erosion data (due to unavailable records of sediment yield), this study demonstrated how the use of check dams in headwater catchments may be not effective for soil conservation purposes several decades after their installation in Mediterranean semiarid areas, where the water flow and erosion rate are limited. Full article
(This article belongs to the Special Issue Hydrological Response to Climate Change)
►▼ Show Figures

Figure 1

12 pages, 2163 KiB  
Article
Response of Domestic Water in Beijing to Climate Change
by Hao Wu, Buju Long, Zhihua Pan, Fei Lun, Yu Song, Jialin Wang, Zhenzhen Zhang, Hongyu Gu and Jingyu Men
Water 2022, 14(9), 1487; https://0-doi-org.brum.beds.ac.uk/10.3390/w14091487 - 05 May 2022
Cited by 3 | Viewed by 1700
Abstract
Beijing, a megacity in northern China, has been long facing the challenge of water scarcity, and the problem of domestic water scarcity has been becoming more serious in recent years due to climate change and global warming. To cope with the adverse effects [...] Read more.
Beijing, a megacity in northern China, has been long facing the challenge of water scarcity, and the problem of domestic water scarcity has been becoming more serious in recent years due to climate change and global warming. To cope with the adverse effects of climate change, it is urgent to build a prediction model for water consumption in Beijing under the background of climate change. Here, a climate domestic water use model was established based on the historical meteorological data and domestic water use data, and the future domestic water demand in Beijing and the response of domestic water use to climate change were projected. The results showed that the climatic water consumption in Beijing will increase with climate warming by 177.23 million m3/°C, and the per capita annual water consumption will increase by 8.1 m3/°C. Combined with the CMIP6 multi-model climate change scenario data, the climate domestic water consumption in Beijing in 2035 under the four scenarios of SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 will be 169 million m3, 189 million m3, 208 million m3, and 235 million m3 respectively; by 2050, the climate domestic water consumption in Beijing will reach 338 million m3, 382 million m3, 395 million m3, and 398 million m3, respectively. Under SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 scenarios, if all the increased climate domestic water consumptions are supplemented by groundwater, compared with 2019, the groundwater depth will decrease by 0.18 m, 0.22 m, 0.27 m, and 0.32 m in 2035, respectively, and the area of funnel area will increase by 6.84 km2, 8.48 km2, 10.11 km2, 12.34 km2 respectively. Compared with 2035, the groundwater depth in 2050 will decrease by 0.37 m, 0.43 m, 0.41 m and 0.36 m, respectively, the area of funnel area will increase by 14.13 km2, 16.21 km2, 15.61 km2, and 13.68 km2, respectively. If the increased climatic water consumption in Beijing is supplemented by external water transfer, the cost of external water transfer in 2035 will increase by CNY 391 million, CNY 485 million, CNY 578 million, and CNY 706 million, respectively, compared with that in 2019 under the four scenarios. Compared with 2035, the cost of external water transfer in 2050 will increase by CNY 808 million, CNY 927 million, CNY 893 million, and CNY 783 million, respectively. Full article
(This article belongs to the Special Issue Hydrological Response to Climate Change)
►▼ Show Figures

Figure 1

23 pages, 7546 KiB  
Article
Integrated Geospatial Analysis and Hydrological Modeling for Peak Flow and Volume Simulation in Rwanda
by Richard Mind’je, Lanhai Li, Patient Mindje Kayumba, Mapendo Mindje, Sikandar Ali and Adeline Umugwaneza
Water 2021, 13(20), 2926; https://0-doi-org.brum.beds.ac.uk/10.3390/w13202926 - 18 Oct 2021
Cited by 11 | Viewed by 4300
Abstract
The ability to adequately and continually assess the hydrological catchment response to extreme rainfall events in a timely manner is a prerequisite component in flood-forecasting and mitigation initiatives. Owing to the scarcity of data, this particular subject has captured less attention in Rwanda. [...] Read more.
The ability to adequately and continually assess the hydrological catchment response to extreme rainfall events in a timely manner is a prerequisite component in flood-forecasting and mitigation initiatives. Owing to the scarcity of data, this particular subject has captured less attention in Rwanda. However, semi-distributed hydrological models have become standard tools used to investigate hydrological processes in data-scarce regions. Thus, this study aimed to develop a hydrological modeling system for the Nyabarongo River catchment in Rwanda, and assess its hydrological response to rainfall events through discharged flow and volume simulation. Initially, the terrain Digital Elevation Model (DEM) was pre-processed using a geospatial tool (HEC-GeoHMS) for catchment delineation and the generation of input physiographic parameters was applied for hydrological modeling system (HEC-HMS) setup. The model was then calibrated and validated at the outlet using sixteen events extracted from daily hydro-meteorological data (rainfall and flow) for the rainy seasons of the country. More than in other events, the 15th, 9th, 13th and 5th events showed high peak flows with simulated values of 177.7 m3s−1, 171.7 m3s−1, 169.9 m3s−1, and 166.9 m3s−1, respectively. The flow fluctuations exhibited a notable relation to rainfall variations following long and short rainy seasons. Comparing the observed and simulated hydrographs, the findings also unveiled the ability of the model to simulate the discharged flow and volume of the Nyabarongo catchment very well. The evaluated model’s performance exposed a high mean Nash Sutcliffe Efficiency (NSE) of 81.4% and 84.6%, with correlation coefficients (R2) of 88.4% and 89.8% in calibration and validation, respectively. The relative errors for the peak flow (5.5% and 7.7%) and volume (3.8% and 4.6%) were within the acceptable range for calibration and validation, respectively. Generally, HEC-HMS findings provided a satisfactory computing proficiency and necessitated fewer data inputs for hydrological simulation under changing rainfall patterns in the Nyabarongo River catchment. This study provides an understanding and deepening of the knowledge of river flow mechanisms, which can assist in establishing systems for river monitoring and early flood warning in Rwanda. Full article
(This article belongs to the Special Issue Hydrological Response to Climate Change)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-4
Back to TopTop