Water Resources Science and Management in Forested and Mixed-Land-Use Watersheds

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

Deadline for manuscript submissions: closed (31 January 2024) | Viewed by 4428

Special Issue Editors


E-Mail Website1 Website2
Guest Editor
Division of Forestry and Natural Resources, Davis College of Agriculture, Natural Resources and Design, West Virginia University, Agricultural Sciences Building, Morgantown, WV 26506, USA
Interests: physical hydrology; watershed management; forests hydrology; environmental biophysics; water balance; watershed hydrology; watershed modeling; water resources; micrometeorology; water cycle
Special Issues, Collections and Topics in MDPI journals
Department of Agriculture and Environmental Sciences, Lincoln University, Jefferson City, MO, USA
Interests: SWAT; water resources management; water quality; watershed modeling; hydrology

Special Issue Information

Dear Colleagues,

Water is the great integrator, bringing all people from all places and backgrounds together in a common space. Watershed water resources science and management integrates natural and anthropogenic forces including forests and mixed-land-use (including urban) management, flooding and floodplain management, water quality, plant-water relations, soil sciences, environmental and atmospheric sciences, watershed, conservation and environmental chemistry, atmospheric science, environmental biophysics, wildlife and fisheries resources (includes large river ecosystems); wetland management, recreation, parks and tourism, water economics, human dimensions of water, water governance, and stakeholder engagement, and many other associated and / or integrated disciplines. However, independent, in-tandem and cumulative anthropogenic drivers (e.g., human population growth mediated land-use, climate change, and other related pressures) confound the uncertainties of decision-making in natural (wildland) and mixed-use (anthropic) watersheds, and many critical information gaps remain. This Special Issue of Water focuses on water resources science and management in forested and mixed-land-use watersheds. Articles will be considered that address all aspects of water resources research in watersheds. In addition to traditional research manuscripts, articles may include advancements in effective ways of conducting watershed research and communicating results to promote deliberate advancements in science and management, human well-being, and resource sustainability.

Prof. Dr. Jason A. Hubbart
Dr. Sean Zeiger
Guest Editors

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Keywords

  • forest hydrology
  • mixed-land-use watershed
  • watershed science, watershed management
  • water resources
  • water research

Published Papers (3 papers)

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Research

20 pages, 3050 KiB  
Article
Rainfall-Runoff Parameter Estimation from Ungauged Flat Afforested Catchments Using the NRCS-CN Method
by Szymon Kobus
Water 2024, 16(9), 1247; https://doi.org/10.3390/w16091247 - 26 Apr 2024
Viewed by 382
Abstract
Of the numerous methods applied in rainfall-runoff models, the most common is the NRCS-CN method that is applied to calculate raised-water runoffs and compare them with the runoff values measured for 12 selected rainfall-runoff events. This study was conducted on three experimental forest [...] Read more.
Of the numerous methods applied in rainfall-runoff models, the most common is the NRCS-CN method that is applied to calculate raised-water runoffs and compare them with the runoff values measured for 12 selected rainfall-runoff events. This study was conducted on three experimental forest catchments with an area ranging from 67.6 to 747 ha. Total rainfall values ranging from 22.2 to 84.1 mm were analysed. Relatively low effective rainfall values were obtained for the lowest average for catchment 1 (Pe = 0.23 mm) and the runoff coefficient (α = 0.40%) and for the highest average for catchment 3 (Pe = 1.35 mm) and an average runoff coefficient (α = 3.12%). The maximum potential retention Si value, corresponding to each pair of P-Pe events, was the effect of the catchment’s moisture and absorptive capacity conditions. The lowest retention S value was calculated for catchment 3. The highest average retention value was calculated for catchment 1, in which the lightest soils were found. The best fit of the initial loss coefficient for the majority of rainfall-runoff events occurred for the λ coefficient values of 0.05 and 0.075. At higher λ, the effective rainfall Pe was not generated. LAG times calculated using 10 methods yielded diverse values. The fit of a specific formula was largely influenced by the size of the catchment, as well as the number and type of parameters considered during model calibration. The method based on catchment width demonstrated the best fit for all catchments, with R2 ranging from 0.77 to 0.78 and RMSE from 0.52 for catchment 2 to 1.11 for catchment 1. Full article
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31 pages, 2755 KiB  
Article
Characterization of Sub-Catchment Stream and Shallow Groundwater Nutrients and Suspended Sediment in a Mixed Land Use, Agro-Forested Watershed
by Kaylyn S. Gootman and Jason A. Hubbart
Water 2023, 15(2), 233; https://doi.org/10.3390/w15020233 - 5 Jan 2023
Cited by 2 | Viewed by 1305
Abstract
Excess nutrients and suspended sediment exports from agricultural watersheds are significant sources of global water quality degradation. An improved understanding of surface water and groundwater pollutant loads is needed to advance practices and policies. A study was conducted in an agricultural-forested catchment of [...] Read more.
Excess nutrients and suspended sediment exports from agricultural watersheds are significant sources of global water quality degradation. An improved understanding of surface water and groundwater pollutant loads is needed to advance practices and policies. A study was conducted in an agricultural-forested catchment of the mid-Atlantic region of the United States. Stream water (SW) and shallow groundwater (SGW) samples were collected monthly between January 2020 and December 2021 from eight sub-catchment study sites. Samples were analyzed for nitrate (NO3-N), nitrite (NO2-N), total ammonia (NH3-N), total nitrogen (TN-N), orthophosphate (PO43-P), and total phosphate (TP-P) concentrations using spectrophotometric methods. Total suspended solids concentrations (mg/L) were quantified gravimetrically and volumetrically to estimate mean particle diameter (MZ, µm), particle surface area (CS, m2/mL), sample skewness (Ski), and particle size distributions (sand/silt/clay%). Results showed significant (p < 0.05) differences in nutrient concentrations and suspended sediment characteristics between SW and SGW between study sites. Differences were attributed to source water type and sub-watershed location. Principal components analysis indicated seasonal effects on water quality in summer months and connected land use with TSS, TN-N, and TP-P concentrations. Study results emphasize the importance of SGW water quality metrics for non-point source loading predictions to inform management decisions in agro-forested watersheds. Full article
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21 pages, 5311 KiB  
Article
Predicting Climate Change Impacts on Water Balance Components of a Mountainous Watershed in the Northeastern USA
by Bidisha Faruque Abesh, Lilai Jin and Jason A. Hubbart
Water 2022, 14(20), 3349; https://doi.org/10.3390/w14203349 - 21 Oct 2022
Cited by 3 | Viewed by 2144
Abstract
Forcing watershed models with downscaled climate data to quantify future water regime changes can improve confidence in watershed planning. The Soil Water Assessment Tool (SWAT) was calibrated (R2 = 0.77, NSE = 0.76, and PBIAS = 7.1) and validated (R2 = [...] Read more.
Forcing watershed models with downscaled climate data to quantify future water regime changes can improve confidence in watershed planning. The Soil Water Assessment Tool (SWAT) was calibrated (R2 = 0.77, NSE = 0.76, and PBIAS = 7.1) and validated (R2 = 0.8, NSE = 0.78, and PBIAS = 8.8) using observed monthly streamflow in a representative mountainous watershed in the northeastern United States. Four downscaled global climate models (GCMs) under two Representative Concentration Pathways (RCP 4.5, RCP 8.5) were forced. Future periods were separated into three 20-year intervals: 2030s (2031–2050), 2050s (2051–2070), and 2070s (2071–2099), and compared to baseline conditions (1980–1999). Ensemble means of the four GCMs showed an increasing trend for precipitation with the highest average increase of 6.78% in 2070s under RCP 8.5. Evapotranspiration (ET) had increasing trends over the 21st century with the 2030s showing greater increases under both RCPs. Both streamflow (4.58–10.43%) and water yield (1.2–7.58%) showed increasing trends in the 2050s and 2070s under both RCPs. Seasonal increases in precipitation were predicted for most months of spring and summer. ET was predicted to increase from Spring to early Fall. Study results demonstrate the potential sensitivity of mountainous watersheds to future climate changes and the need for ongoing predictive modeling studies to advance forward looking mitigation decisions. Full article
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