Mehmet B. Ercan

Engineering Systems (United States)

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Jonathan L. Goodall

University of Virginia

Anthony M. Castronova

Consortium of Universities for the Advancement of Hydrologic Science

Benjamin D. Bowes

University of Virginia

Marty Humphrey

University of Arkansas at Fayetteville

Peter A. Beling

University of Virginia

Lan Zhao

Purdue University West Lafayette

J. L. Goodall

University of Virginia

Carol Song

Purdue University West Lafayette

Jahangir Alam

University of Dhaka

Iman Maghami

Brigham Young University

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University of Virginia

Engineering Systems (United States)

University of Colorado Boulder

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Purdue University West Lafayette

University of South Carolina

McCormick (United States)

Goddard Space Flight Center

Cooperative Institute for Research in Environmental Sciences

University of Tennessee at Knoxville

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Combining Gauge and Radar Derived Observations to Estimate Precipitation Input to a Watershed

Mehmet B. Ercan

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Integrated modeling within a Hydrologic Information System: An OpenMI based approach

Environmental Modelling & Software (2012)

Anthony M. Castronova Jonathan L. Goodall Mehmet B. Ercan

Interface (matter)

10.1016/j.envsoft.2012.02.011

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Citations (68)

Calibration of SWAT models using the cloud

Environmental Modelling & Software (2014)

Mehmet B. Ercan Jonathan L. Goodall Anthony M. Castronova Marty Humphrey N. Beekwilder

Speedup

SWAT model

10.1016/j.envsoft.2014.09.002

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Citations (45)

Reinforcement learning-based real-time control of coastal urban stormwater systems to mitigate flooding and improve water quality

Environmental Science Water Research & Technology (2022)

Benjamin D. Bowes Cheng Wang Mehmet B. Ercan Teresa B. Culver Peter A. Beling

Reinforcement learning agents can learn real-time stormwater system control strategies that balance the competing goals of flood mitigation and sediment capture in urban watersheds.

10.1039/d1ew00582k

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Citations (23)

Using Geospatial Analysis and Hydrologic Modeling to Estimate Climate Change Impacts on Nitrogen Export: Case Study for a Forest and Pasture Dominated Watershed in North Carolina

ISPRS International Journal of Geo-Information (2018)

Jahangir Alam Mehmet B. Ercan Faria Tuz Zahura Jonathan L. Goodall

Many watersheds are currently experiencing streamflow and water quality related problems that are caused by excess nitrogen. Given that weather is a major driver of nitrogen transport through watersheds, the objective of this study was to predict climate change impacts on streamflow and nitrogen export. A forest and pasture dominated watershed in North Carolina Piedmont region was used as the study area. A physically-based Soil and Water Assessment Tool (SWAT) model parameterized using geospatial data layers and spatially downscaled temperature and precipitation estimates from eight different General Circulation Models (GCMs) were used for this study. While temperature change predictions are fairly consistent across the GCMs for the study watershed, there is significant variability in precipitation change predictions across the GCMs, and this leads to uncertainty in the future conditions within the watershed. However, when the downscaled GCM projections were taken as a model ensemble, the results suggest that both high and low emission scenarios would result in an average increase in streamflow of 14.1% and 12.5%, respectively, and a decrease in the inorganic nitrogen export by 12.1% and 8.5%, respectively, by the end of the century. The results also show clear seasonal patterns with streamflow and nitrogen loading both increasing in fall and winter months by 97.8% and 50.8%, respectively, and decreasing by 20.2% and 35.5%, respectively, in spring and summer months by the end of the century.

10.3390/ijgi7070280

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Citations (3)

Estimating Watershed-Scale Precipitation by Combining Gauge- and Radar-Derived Observations

Journal of Hydrologic Engineering (2012)

Mehmet B. Ercan Jonathan L. Goodall

Watershed modeling requires accurate estimates of precipitation; however, in some cases it is necessary to simulate streamflow in a watershed for which there is no precipitation gauge records within close proximity to the watershed. For such cases, we propose an approach to estimating watershed-scale precipitation by combining (or fusing) gauge-based precipitation time series with radar-based precipitation time series in a way that seeks to match input precipitation for the watershed model with observed streamflow at the watershed outlet. We test the proposed data fusion approach through a case study where the Soil and Water Assessment Tool (SWAT) model is used to simulate streamflow for a portion of the Eno River Watershed located in Orange County, North Carolina. Results of this case study show that the proposed approach improved model accuracy (E=0.60; R2=0.74; PB=−10.2) when compared to a model driven by gauge data only (E=0.50; R2=0.54; PB=−25.5) or radar data only (E=0.33; R2=0.61; PB=−13.7). While this result is limited to a single watershed case study, it suggests that the proposed approach could be a useful tool for hydrologic engineers in need of retrospective precipitation estimates for watersheds that suffer from inadequate gauge coverage.

Hydrological modelling

10.1061/(asce)he.1943-5584.0000687

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Citations (11)

Coupling climate and hydrological models: Interoperability through Web Services

Environmental Modelling & Software (2013)

Jonathan L. Goodall Kathleen D. Saint Mehmet B. Ercan Laura Briley Sylvia Murphy

Hydrological modelling

Forcing (mathematics)

10.1016/j.envsoft.2013.03.019

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Citations (43)