Article
Forestry
Nicu Constantin Tudose, Mirabela Marin, Sorin Cheval, Cezar Ungurean, Serban Octavian Davidescu, Oana Nicoleta Tudose, Alin Lucian Mihalache, Adriana Agafia Davidescu
Summary: The study on the adaptability and reliability of the SWAT hydrological model in a small mountain forested watershed showed satisfactory performance with low uncertainty in replicating river discharge. The model can support decision-makers in developing sustainable watershed management strategies and prioritizing measures to increase river basin resilience and meet water demand.
Article
Environmental Sciences
Peishi Jiang, Kyongho Son, Maruti K. Mudunuru, Xingyuan Chen
Summary: This study proposes the use of mutual information as a computationally efficient method for sensitivity analysis in watershed modeling. The mutual information can capture nonlinear relationships between inputs and outputs. The study shows that mutual information yields similar sensitivity ranking compared to traditional Sobol method. This provides an affordable GSA method for computationally intensive models.
WATER RESOURCES RESEARCH
(2022)
Article
Environmental Sciences
L. Chen, W. Z. Wang, G. Y. Wei, K. Wang, H. B. Liu, L. M. Zhai, Z. Y. Shen
Summary: A universal calibration platform based on advanced genetic algorithms was constructed for watershed models, and successfully tested in two real cases studies using HSPF and SWMM models. The results showed good model calibrations for both models, indicating its effectiveness and robustness for model calibration in various watershed models and catchments.
JOURNAL OF ENVIRONMENTAL INFORMATICS
(2021)
Article
Environmental Sciences
Jungjin Kim, Younggu Her, Rabin Bhattarai, Hanseok Jeong
Summary: Subsurface drainage systems have both positive and negative impacts on soil and water quality. The current SWAT model oversimplifies nitrate transport processes, but the revised approach in this study improves the accuracy of nitrate load prediction.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Water Resources
David D. Bosch, Alisa W. Coffin, Joseph Sheridan, Oliva Pisani, Dinku M. Endale, Tim C. Strickland
Summary: The US Department of Agriculture's Southeast Watershed Research Laboratory has conducted a long-term hydrologic research program on the Little River Experimental Watershed since 1967, providing valuable data on streamflow and rainfall relationships. Most regional watersheds shared similar hydrologic characteristics, except for some exceptions where changes in land use resulted in increased streamflow. The research conducted on this watershed has contributed significantly to the scientific understanding of flow and transport processes in stream systems.
HYDROLOGICAL PROCESSES
(2021)
Article
Environmental Sciences
Benedikt Mester, Sven Norman Willner, Katja Frieler, Jacob Schewe
Summary: This study compares the sensitivity of flood model performance to different climate forcing and GHM choices, finding that simulated inundation extent is relatively insensitive to GHM choice in most regions, but certain GHMs can lead to lower agreement with observations in some events. Many models underestimate flood extent when flood protection standards are taken into account, indicating deficiencies in their flood frequency distribution. The research provides guidance for future applications of these models and identifies regions and models where targeted improvements could lead to the largest performance gains.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Water Resources
Roja K. Garna, Daniel R. Fuka, Joshua W. Faulkner, Amy S. Collick, Zachary M. Easton
Summary: This study focuses on three watersheds in the Lake Champlain Basin of Vermont, USA, and proposes a new calibration technique called simultaneous multi-basin calibration (MBC) to estimate model parameters in low data environments. By aggregating observed flows from multiple initializations, a combined streamflow record of sufficient length is generated for parameter calibration. The results demonstrate improved model performance and more realistic parameter values, providing important insights for watershed management.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2023)
Article
Computer Science, Interdisciplinary Applications
Liu Xingpo, Lu Muzi, Chai Yaozhi, Tang Jue, Gao Jinyan
Summary: A new SVM surrogate modeling method was investigated to improve HSPF hydrological and water quality simulation, and a comprehensive framework was established for sensitivity, optimization and uncertainty analysis in Qinglong River watershed. The analysis evaluated sensitivity of eleven parameters and recommended parameter intervals, obtaining optimal values for each. Posterior distributions of eleven parameters were also obtained in the study.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Water Resources
Maureen A. Wanzala, Andrea Ficchi, Hannah L. Cloke, Elisabeth M. Stephens, Heou M. Badjana, David A. Lavers
Summary: This study evaluates the performance of four reanalysis datasets in Kenya and identifies the dataset that is most suitable for flood forecasting and early warning.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2022)
Article
Multidisciplinary Sciences
Taylor Maavara, Erica R. Siirila-Woodburn, Fadji Maina, Reed M. Maxwell, James E. Sample, K. Dana Chadwick, Rosemary Carroll, Michelle E. Newcomer, Wenming Dong, Kenneth H. Williams, Carl Steefel, Nicholas J. Bouskill
Summary: There is a growing understanding of the role of bedrock weathering as a nitrogen source in various environmental systems, especially in mountainous regions. However, the relative contributions of rock-derived nitrogen to nitrogen supply in mountainous watersheds are not well understood. The study developed a suite of models to quantify the sources, transformations, and sinks of geogenic and atmospheric nitrogen in a mountain watershed.
Article
Environmental Sciences
Xiaolong Yu, Jing Zhang
Summary: This article analyzes the applicability of the HEC-HMS model in flood simulation in urbanization basins and the influence of land use changes on catchment runoff. The research results show that the HEC-HMS model is suitable for an urbanization basin and can provide reference for flood simulation and stormwater management.
Article
Environmental Sciences
Swatah Snigdha Borkotoky, A. Park Williams, Edward R. Cook, Scott Steinschneider
Summary: This study examines the reconstruction of extreme precipitation occurrences in the Sacramento River Watershed (SRW) of Northern California using tree-ring proxies across the Western US. The reconstructions show historical variations in extreme precipitation frequency, with more extremes in certain time periods and a 2-8 year oscillation after 1550. Overall, these reconstructions help to better understand the historic variability of extreme precipitation events.
WATER RESOURCES RESEARCH
(2021)
Article
Environmental Sciences
Wei Zhou, Yizhe Zhang, Jun Yin, Jianan Zhou, Zhonghua Wu
Summary: Urbanization has had negative impacts on intra-urban river water bodies. This study evaluated the water quality of a polluted medium-sized river in Wuhan, China using physicochemical parameters measured at different locations and periods. The results showed that the water quality near the urban area was mildly to moderately polluted during the level and wet periods, and severely polluted during the dry period. The study also found that the water quality was better in the lake source and upstream compared to the downstream.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
Xiuying Wang, Jaehak Jeong, Seonggyu Park, Xuesong Zhang, Jungang Gao, Nelida E. Q. Silvero
Summary: This study developed the DayCent-CUTE tool for conducting global sensitivity analysis, auto-calibration, and uncertainty analysis of the DayCent model. By collecting field experiment data and utilizing an auto-calibration process, the tool improves the performance of the model.
ENVIRONMENTAL MODELLING & SOFTWARE
(2023)
Article
Environmental Sciences
Fanny Picourlat, Emmanuel Mouche, Claude Mugler
Summary: This study presents a bottom-up approach to identify basin-scale driving variables that need to be included in Land Surface Models (LSMs). The research conducted in the Little Washita Watershed demonstrates the capability of an equivalent hillslope model to capture both water balance and water table dynamics. The study identifies two important driving variables, seepage face extension and water table slope, which can be implemented in a conceptual model. This approach simplifies the 3D watershed model and provides a basis for improving LSM hydrology.
WATER RESOURCES RESEARCH
(2022)