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Watershed Hydrology and Management under Changing Climate

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

Deadline for manuscript submissions: 10 June 2025 | Viewed by 3080

Special Issue Editor


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Guest Editor
1. School of Water and Environment, Chang’an University, Xi’an 710054, China
2. Key Laboratory of Eco-Hydrology and Water Security in Arid and Semi-Arid Regions of the Ministry of Water Resources, Chang’an University, Xi’an 710054, China
3. Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education, Chang’an University, Xi’an 710054, China
Interests: watershed hydrology; water resources allocation; drought assessment; flood simulation; climate change; land-use and land-cover change; reservior regulation

Special Issue Information

Dear Colleagues,

Over the last 20 years, global climate change and the underlying surface changes have worsened. The basin's hydrological process has shown some concerning traits, such as non-stationarity, spatial heterogeneity, and interactive complexity, especially when human activities are taken into account. These characteristics have led to responsive changes in the ecohydrological process, the interaction process of surface water and groundwater, the spatiotemporal evolution process of drought and flood events, and the harmony between humans and water in the basin. This will surely present major challenges to water-related hazard prevention, hydrological modeling and forecasting, and the sustainable management of water resources under changing climate. To solve these problems and encourage both the harmony between humans and water and the high-quanlity growth of watersheds, scientists need to learn more about the hydrological changes that are happening in watersheds as a result of climate change and come up with better adaptive ways to deal with and manage them.

This Special Issue seeks contributions involving innovative methodologies or relevant case studies regarding topics, including, but not limited to, the following:

  1. Comprehensive responses of watershed hydrological processes to climate change and underlying surface changes;
  2. Novel methodology for watershed hydrological modeling and forecasting;
  3. New insights for watershed eco-hydrological processes and environmental flow management;
  4. Efficient strategies for watershed drought and flood risk management;
  5. Watershed socio-hydrology and new approaches for improving harmony between humans and water;
  6. Adaptive watershed water resources management and digital watershed system construction.

Prof. Dr. Hongbo Zhang
Guest Editor

Manuscript Submission Information

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Keywords

  • cliamte change
  • hydrology modeling and forecasting
  • hydrological connectivity
  • groundwater–surface water interaction
  • ecohydrology
  • socio-hydrology
  • digital watershed
  • environmental flow
  • drought and flood risk management
  • integrated water resources management

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Published Papers (4 papers)

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Research

21 pages, 5674 KiB  
Article
Multi-Scale Spatial Relationship Between Runoff and Landscape Pattern in the Poyang Lake Basin of China
by Panfeng Dou, Yunfeng Tian, Jinfeng Zhang and Yi Fan
Water 2024, 16(23), 3501; https://doi.org/10.3390/w16233501 - 5 Dec 2024
Viewed by 371
Abstract
Runoff research serves as the foundation for watershed management, and the relationship between runoff and landscape pattern represents a crucial basis for decision-making in the context of watershed ecological protection and restoration. However, there is a paucity of research investigating the multi-scale spatial [...] Read more.
Runoff research serves as the foundation for watershed management, and the relationship between runoff and landscape pattern represents a crucial basis for decision-making in the context of watershed ecological protection and restoration. However, there is a paucity of research investigating the multi-scale spatial relationship between runoff and landscape patterns. This study employs the Poyang Lake Basin (PLB) as a case study for illustrative purposes. The construction of the soil and water assessment tool (SWAT) model is the initial step in the process of carrying out runoff simulation, which in turn allows for the analysis of the spatial–temporal characteristics of runoff. Subsequently, Pearson’s correlation analysis, global linear regression and geographically weighted regression (GWR) models are employed to examine the impact of landscape composition on runoff. Finally, the spatial relationship between runoff and landscape pattern is investigated at the landscape and class scales. The results of the study demonstrate the following: (1) runoff in the PLB exhibited considerable spatial–temporal heterogeneity from 2011 to 2020. (2) Forest was the most prevalent landscape type within the PLB. Landscape composition’s impact on runoff exhibited non-linear characteristics, with forest, cropland, barren, and grassland influencing runoff in decreasing order. (3) A spatial relationship between runoff and landscape pattern was observed. At the landscape scale, patch diversity significantly influenced runoff, and reducing patch diversity primarily increased runoff. At the class scale, forest and cropland patch areas had the greatest impact on runoff, potentially enhanced by improving patch edge density. (4) Nine sub-basins needing ecological restoration were identified, with restoration pathways developed based on spatial relationships between runoff and landscape patterns. This study elucidates the impact of landscape composition and pattern on runoff, thereby providing a basis for informed decision-making and technical support for the ecological restoration and management of the watershed. Full article
(This article belongs to the Special Issue Watershed Hydrology and Management under Changing Climate)
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Figure 1

Figure 1
<p>Location of the Poyang Lake Basin.</p>
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<p>Elevation and sub-basin division in the Poyang Lake Basin. Note: The numbers in the right part of this figure represent the sub-basin numbers.</p>
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<p>A comparative analysis of the flow dynamics observed and simulated in the Poyang Lake Basin. Note: 201101 represents January 2011.</p>
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<p>Spatial–temporal pattern of runoff in the Poyang Lake Basin from 2011 to 2020.</p>
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<p>Spatial distribution of landscape types and proportions in the Poyang Lake Basin.</p>
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<p>Spatial distribution of geographically weighted regression coefficients between runoff and landscape type in the Poyang Lake Basin.</p>
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<p>Spatial distribution of key landscape metrics at the landscape and class scales in the Poyang Lake Basin.</p>
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<p>Spatial distribution of geographically weighted regression coefficients between runoff and landscape metrics at landscape and class scales in the Poyang Lake Basin. Note: R<sup>2</sup> = N/A indicates that the GWR model was not successfully constructed.</p>
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<p>Ecological restoration pathways in sub-basins of the Poyang Lake Basin.</p>
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30 pages, 10054 KiB  
Article
Identifying the Layout of Retrofitted Rainwater Harvesting Systems with Passive Release for the Dual Purposes of Water Supply and Stormwater Management in Northern Taiwan
by Hsin-Yuan Tsai, Chia-Ming Fan and Chao-Hsien Liaw
Water 2024, 16(20), 2894; https://doi.org/10.3390/w16202894 - 11 Oct 2024
Viewed by 907
Abstract
Due to its unique climate and geography, Taiwan experiences abundant rainfall but still faces significant water scarcity. As a result, rainwater harvesting systems (RWHSs) have been recognized as potential water resources within both water legal and green building policies. However, the effects of [...] Read more.
Due to its unique climate and geography, Taiwan experiences abundant rainfall but still faces significant water scarcity. As a result, rainwater harvesting systems (RWHSs) have been recognized as potential water resources within both water legal and green building policies. However, the effects of climate change—manifested in more frequent extreme rainfall events and uneven rainfall distribution—have heightened the risks of both droughts and floods. This underscores the need to retrofit existing RWHSs to function as stormwater management tools and water supply sources. In Taiwan, the use of simple and cost-effective passive release systems is particularly suitable for such retrofits. Four key considerations are central to designing passive release RWHSs: the type of discharge outlet, the size of the outlet, the location of the outlet, and the system’s operational strategy. This study analyzes three commonly used outlet types—namely, the orifice, short stub fitting, and drainage pipe. Their respective discharge flow formulas and design charts have been developed and compared. To determine the appropriate outlet size, design storms with 2-, 5-, and 10-year return periods in the Taipei area were utilized to examine three different representative buildings. Selected combinations of outlet diameters and five different outlet locations were assessed. Additionally, probably hazardous rainfall events between 2014 and 2023 were used to verify the results obtained from the design storm analysis. Based on these analyses, the short stub fitting outlet type with a 15 mm outlet diameter was selected and verified. For determining the suitable discharge outlet location, a three-step process is recommended. First, the average annual water supply reliability for different scenarios and outlet locations in each representative building is calculated. Using this information, the maximum allowable decline in water supply reliability and the corresponding outlet location can be identified for each scenario. Second, break-even points between average annual water supply and regulated stormwater release curves, as well as the corresponding outlet locations, are identified. Finally, incremental analyses of average annual water supply and regulated stormwater release curves are conducted to determine the suitable outlet location for each scenario and representative building. For the representative detached house (DH), scenario 2, which designates 50% of the tank’s volume as detention space (i.e., the discharge outlet located halfway up the tank), and scenario 3, which designates 75% (i.e., the discharge outlet at one-quarter of the tank height), are the most suitable options. For the four-story building (FSB), the outlet located at one-quarter of the tank’s height is suitable for both scenarios 2 and 3. For the eight-story building (ESB), scenario 2, with the outlet at one-quarter of the tank’s height, and scenario 3, with the outlet at the lowest point on the tank’s side, are preferred. The framework developed in this study provides drainage designers with a systematic method for determining the key parameters in passive-release RWHS design at the household scale. Full article
(This article belongs to the Special Issue Watershed Hydrology and Management under Changing Climate)
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Figure 1
<p>Schematic diagram of the PR-RWHS.</p>
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<p>Diagram of three different types of discharge outlet: (<b>a</b>) orifice; (<b>b</b>) short stub fitting; and (<b>c</b>) drainage pipe.</p>
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<p>Diagram of the discharge outlet locations for PR-RWHS.</p>
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<p>Illustration of an existing domestic RWHS.</p>
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<p>Illustration of water budget in the tank of a PR-RWHS.</p>
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<p>Flow chart of simulation model for PR-RWHS.</p>
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<p>Average monthly rainfall distribution in Taipei rain gauge station.</p>
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<p>Illustrative diagram of hydrographs for the conv. RWHS and PR-RWHS. (<b>a</b>) Inflow hydrograph and discharge hydrograph of the conv. RWHS; and (<b>b</b>) inflow hydrograph and discharge hydrographs of both the conv. RWHS and PR-RWHS.</p>
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<p>Discharge flow analysis for PR-RWHS discharge outlets. (<b>a</b>) Flow rate variations of discharge outlet types and diameters, and (<b>b</b>) flow rate variations of short stub fitting.</p>
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<p>Radar plot of design storm analysis for the DH with 2-year return period design storm. (<b>a</b>) Peak flow mitigation rate, and (<b>b</b>) peak flow lag time.</p>
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<p>Radar plot of design storm analysis for the DH with 5-year return period design storm. (<b>a</b>) Peak flow mitigation rate, and (<b>b</b>) peak flow lag time.</p>
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<p>Radar plot of design storm analysis for the DH with 10-year return period design storm. (<b>a</b>) peak flow mitigation rate, and (<b>b</b>) peak flow lag time.</p>
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<p>Analysis of peak flow mitigation rate using 2-year, 5-year and 10-year return period design storm for (<b>a</b>) the DH, (<b>b</b>) the FSB, and (<b>c</b>) the ESB.</p>
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<p>Peak flow mitigation rate of the DH at different locations for potentially hazardous rainfall events. (<b>a</b>) S-HR, (<b>b</b>) L-HR, (<b>c</b>) S-TR, and (<b>d</b>) L-TR.</p>
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<p>Average peak flow mitigation rate at different locations for probably hazardous rainfall events. (<b>a</b>) DH, (<b>b</b>) FSB, and (<b>c</b>) ESB.</p>
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<p>Boxplots and incremental analysis of average annual water supply and regulated stormwater release for the DH. (<b>a</b>) Boxplot of scenario 2; (<b>b</b>) incremental analysis of scenario 2; (<b>c</b>) boxplot of scenario 3; and (<b>d</b>) incremental analysis of scenario 3.</p>
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<p>Boxplots and incremental analyses of average annual water supply and regulated stormwater release for the FSB. (<b>a</b>) Boxplot of scenario 2; (<b>b</b>) incremental analysis of scenario 2; (<b>c</b>) boxplot of scenario 3; and (<b>d</b>) incremental analysis of scenario 3.</p>
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<p>Boxplots and incremental analysis of average annual water supply and regulated stormwater release for the ESB. (<b>a</b>) Boxplot of scenario 2; (<b>b</b>) incremental analysis of scenario 2; (<b>c</b>) boxplot of scenario 3; and (<b>d</b>) incremental analysis of scenario 3.</p>
Full article ">Figure 18 Cont.
<p>Boxplots and incremental analysis of average annual water supply and regulated stormwater release for the ESB. (<b>a</b>) Boxplot of scenario 2; (<b>b</b>) incremental analysis of scenario 2; (<b>c</b>) boxplot of scenario 3; and (<b>d</b>) incremental analysis of scenario 3.</p>
Full article ">
16 pages, 5945 KiB  
Article
Hydrological Data Projection Using Empirical Mode Decomposition: Applications in a Changing Climate
by Che-Wei Chang, Jung-Chen Lee and Wen-Cheng Huang
Water 2024, 16(18), 2669; https://doi.org/10.3390/w16182669 - 19 Sep 2024
Viewed by 680
Abstract
This paper demonstrates the effectiveness and superiority of Empirical Mode Decomposition (EMD) in projecting non-stationary hydrological data. The study focuses on daily Sea Surface Temperature (SST) sequences in the Niño 3.4 region and uses EMD to forecast the probability of El Niño events. [...] Read more.
This paper demonstrates the effectiveness and superiority of Empirical Mode Decomposition (EMD) in projecting non-stationary hydrological data. The study focuses on daily Sea Surface Temperature (SST) sequences in the Niño 3.4 region and uses EMD to forecast the probability of El Niño events. Applying the Mann–Kendall test at the 5% significance level reveals a significant increasing trend in SST changes in this region, particularly noticeable after 1980. This trend is associated with the occurrence of El Niño and La Niña events, which have a recurrence interval of approximately 8.4 years and persist for over a year. The modified Oceanic Niño Index (ONI) proposed in this study demonstrates high forecast accuracy, with 97.56% accuracy for El Niño and 89.80% for La Niña events. Additionally, the EMD of SST data results in 13 Intrinsic Mode Functions (IMFs) and a residual component. The oscillation period increases with each IMF level, with IMF7 exhibiting the largest amplitude, fluctuating between ±1 °C. The residual component shows a significant upward trend, with an average annual increase of 0.0107 °C. These findings reveal that the EMD-based data generation method overcomes the limitations of traditional hydrological models in managing non-stationary sequences, representing a notable advancement in data-driven hydrological time series modeling. Practically, the EMD-based 5-year moving process can generate daily sea temperature sequences for the coming year in this region, offering valuable insights for assessing El Niño probabilities and facilitating annual updates. Full article
(This article belongs to the Special Issue Watershed Hydrology and Management under Changing Climate)
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Figure 1

Figure 1
<p>Historical daily sea surface temperature data in the Niño 3.4 region (1900–2019).</p>
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<p>Characteristics of annual SST in the Niño 3.4 region (1900–2019).</p>
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<p>Box plots of monthly SST in the Niño 3.4 region.</p>
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<p>Changes in monthly mean SST in the Niño 3.4 region.</p>
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<p>EMD-based data synthesis: h-year individual decomposition + inter-individual mating.</p>
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<p>Comparison of initial ONI and adjusted ONI with final ONI (1981–2022).</p>
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<p>Decomposition of 120-year daily SST by EMD in the Niño 3.4 region.</p>
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<p>Residue in each year in the Niño 3.4 region (1900–2019).</p>
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<p>Projection based on a 5-year moving process.</p>
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<p>Comparison between the projected SST quartiles and the actual SST for each month.</p>
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<p>Comparison of projected and observed annual mean SST in the Niño 3.4 region (1905~2019).</p>
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<p>El Niño forecast (Cases: 1997–2000 and 2015–2016).</p>
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13 pages, 15386 KiB  
Article
Impact of Human Development on the Phenomenon of Surface Runoff Crossing Adjacent Watershed Boundaries
by WeiCheng Lo, Chang-Mien Wang, Chih-Tsung Huang and Meng-Hsuan Wu
Water 2024, 16(13), 1831; https://doi.org/10.3390/w16131831 - 27 Jun 2024
Viewed by 758
Abstract
The concept of watersheds, also called catchments, is fundamental to both flood mitigation and water resource management, as it greatly aids in the calculation of overland flow attributes. Watershed boundaries are typically determined by elevation, as water adheres to the geological characteristics of [...] Read more.
The concept of watersheds, also called catchments, is fundamental to both flood mitigation and water resource management, as it greatly aids in the calculation of overland flow attributes. Watershed boundaries are typically determined by elevation, as water adheres to the geological characteristics of watersheds under natural circumstances and does not cross watershed boundaries. However, advances in human development have caused elevation and land usage changes, and boundaries between adjacent watersheds in downstream areas with flat terrain have become unclear and unstable. This study chose the Kaoping River watershed and Donggang River watershed as the study area, to investigate the cross-watershed runoff phenomenon under different return period rainfall. Based on land use surveys of the study area, the area in proximity to the boundary between the two watersheds was highly developed, with land primarily used for agriculture, buildings, and transportation. As the study area was highly developed, cross-watershed runoff was observed, even in the 2-year return period rainfall simulation case. The size and depth of the areas where cross-watershed runoff occurred became stable in the simulation cases, with return periods of 25 years or greater due to the surrounding high-elevation terrain obstructing further surface runoff development. Thus, when planning for flood mitigation, cross-watershed runoff from adjacent watersheds must also be considered, in addition to normal surface runoff. Full article
(This article belongs to the Special Issue Watershed Hydrology and Management under Changing Climate)
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Figure 1

Figure 1
<p>Elevation in the study area.</p>
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<p>Elevation of the boundary between the two watersheds and of the surrounding area.</p>
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<p>Land use distribution in the study area in different periods.</p>
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<p>Computational cells.</p>
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<p>A comparison between observed and simulated water levels of the five water level gauging stations (<b>A</b><b>E</b>) in <a href="#water-16-01831-f004" class="html-fig">Figure 4</a> during the 2016 Megi typhoon.</p>
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<p>Histogram on the precipitation for each return period.</p>
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<p>Maximum inundation depth distribution for each return period.</p>
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<p>Overlay of land use and maximum inundation depth distribution for the 25-year return period in the study area.</p>
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