Simulation of the effects of different inflows on hydrologic conditions in Lake Houston with a three-dimensional hydrodynamic model, Houston, Texas, 2009–10

Rendon, Samuel H.; Lee, Michael T.

doi:10.3133/sir20155153

Cited by 3 publications

(17 citation statements)

References 7 publications

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“…As mentioned earlier, four primary statistics were used to evaluate the degree of fit for the EFDC model described in this report, including MAE, RMSE, NRMSE, and the IA. Based on previous USGS calibration efforts, the MAE, RMSE, and NRMSE are common metrics used for model calibration and have been used frequently by the USGS in other model calibrations (for example, Sullivan and Rounds, 2004;Galloway and Green, 2007;Rendon and Lee, 2015). Although these metrics do not directly focus on the model performance, these metrics are appropriate for quantifying the error between the measured and simulated data.…”

Section: Hydrodynamic Model Calibrationmentioning

confidence: 99%

“…It is difficult to ascertain the depth characteristics of simulated salinity values for the Bushy Park Reservoir model, given no continuous calibration records are present with multiple sample depths. For example, the Lake Houston EFDC model (Rendon and Lee, 2015;Smith and Shah, 2020) had continuous measurements for four different depths at two different locations as calibration targets to determine the model capacity to replicate salinity with depth. Whereas this capacity may not be as important for shallow areas, stations with multiple sample depths for deeper locations (such as closer to Charleston Harbor), multiple calibration depths would be beneficial for model simulation.…”

Section: Salinitymentioning

confidence: 99%

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Evaluation of the Bushy Park Reservoir three-dimensional hydrodynamic and water-quality model, South Carolina, 2012–15

Smith¹,

Akasapu-Smith²,

Petkewich³

et al. 2022

Open-File Report

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Treatment, for their technical assistance and coordination during this study. The authors also thank Mark Valerio of South Carolina Electric and Gas for the daily Williams Station plant operating data and Rebecca Thames of CWS for providing laboratory data. The authors also thank the CWS and U.S. Geological Survey reviewers for their thoughtful reviews and constructive comments of this report. At the time of publication, Tetra Tech data from the Bushy Park model were unavailable; for more information on the model, contact Charleston Water System.

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Section: Hydrodynamic Model Calibrationmentioning

confidence: 99%

Section: Salinitymentioning

confidence: 99%

Evaluation of the Bushy Park Reservoir three-dimensional hydrodynamic and water-quality model, South Carolina, 2012–15

Smith¹,

Akasapu-Smith²,

Petkewich³

et al. 2022

Open-File Report

View full text Add to dashboard Cite

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“…To reduce groundwater usage, regional water suppliers have been gradually switching to surface water resources in compliance with the mandates set by the Harris-Galveston Subsidence District (HGSD 2020). For the City of Houston (hereinafter referred to as Houston), about 71% of Houston's water supply comes from surface-water resources (Rendon and Lee 2015), as of 2015. As part of its network of surface-water resources, Houston has partial or complete rights to three reservoirs with Hydrodynamic Modeling Results 66 have increased NEWPP withdrawals and a drought similar to 2011's, the decreases in water levels could become even more problematic with the additional withdrawals (Combs 2012).…”

Section: Introductionmentioning

confidence: 99%

“…Hydrodynamic models have been successfully applied in the past to simulate the dynamic hydrology and chemistry of large water bodies such as Lake Houston (Jin et al 2007;Dynamic Solutions 2013). In 2015, the U.S. Geological Survey developed such a tool, a three-dimensional circulation, temperature, and salinity transport model for Lake Houston (Rendon and Lee 2015) using the Environmental Fluid Dynamics Code (EFDC) modeling package (Hamrick 1992;Hamrick 1996). As this model also simulates salinity, the salinity can be related back to specific conductance and therefore can be used as an evaluation tool for changes in dissolved ion concentrations.…”

Section: Introductionmentioning

confidence: 99%

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Hydrodynamic Modeling Results Showing the Effects of the Luce Bayou Interbasin Transfer on salinity in Lake Houston, TX

Smith

Shah

2020

Texas Water Journal

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An over-reliance on groundwater resources in the Houston (Texas) metropolitan area led to aquifer drawdowns and land subsidence, so regional water suppliers have been turning to surface water resources to meet water demand. Lake Houston, an important water supply reservoir 25 miles northeast from downtown Houston, requires new water supply sources to continue to meet water supply demands for the next several decades. The upcoming Luce Bayou Interbasin Transfer Project will divert up to 500 million gallons per day of Trinity River water into Lake Houston. Trinity River water has significantly different water quality than the Lake Houston tributaries. To evaluate the project's impact on water quality, the U.S. Geological Survey used an enhanced version of a previously released Lake Houston hydrodynamic model. With a focus on salinity and water-surface elevations, the model combined data from 2009-2017 with simulated flow from the Luce Bayou Interbasin Transfer to evaluate potential outcomes from three hypothetical flow scenarios. Overall, these scenarios found that the Luce Bayou Interbasin Transfer would cause salinities to rise over most of the modeled time (2009-2017), although salinities were buffered under 2011 drought conditions. Large inflow events equalized salinities under baseline conditions as well as the enhanced flow scenarios. Citation: Smith EA, Shah S. 2020. Hydrodynamic modeling results showing the effects of the Luce Bayou Interbasin Transfer on salinity in Lake Houston, TX. Texas Water Journal. 11(1):64-88. Available from: https://doi.org/10.21423/twj.v11i1.7094.

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Fuzzy Similarity Analysis of Effective Training Samples to Improve Machine Learning Estimations of Water Quality Parameters Using Sentinel-2 Remote Sensing Data

Dehkordi,

Zoej,

Mehran

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Continuous monitoring of Water Quality Parameters (WQPs) is crucial due to the global degradation of water quality, primarily caused by climate change and population growth. Typically, Machine Learning (ML) models are employed to retrieve WQPs, but they require a large amount of training samples to accurately capture the data relationships. Even with sufficient training data, discrepancies still exist between values of predicted and in-situ WQPs. This study proposes a Fuzzy Similarity Analysis (FSA) technique to enhance ML estimates of WQPs by using the prediction errors in Effective Training Samples (ETS).The method was successfully applied to retrieve Turbidity (Turb) and Specific Conductance (SC) in Lake Houston, USA, using Sentinel-2 remote sensing data. Three ML algorithms, namely Mixture Density Networks, Support Vector Regression, and Partial Least Squares Regression, were tested to evaluate the method's effectiveness. The results showed that FSA significantly improved the accuracy of all ML predictions. This improvement resulted in up to a 9.15% reduction in Mean Absolute Percentage Error (MAPE) and a 12% increase in R 2 for Turb, while for SC, the improvements were 5.47% in MAPE and 7% in R 2 . The adaptability of the proposed method to other WQPs, various satellite data, and different ML models is promising for monitoring water quality in inland waters.

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Simulation of the effects of different inflows on hydrologic conditions in Lake Houston with a three-dimensional hydrodynamic model, Houston, Texas, 2009–10

Cited by 3 publications

References 7 publications

Evaluation of the Bushy Park Reservoir three-dimensional hydrodynamic and water-quality model, South Carolina, 2012–15

Evaluation of the Bushy Park Reservoir three-dimensional hydrodynamic and water-quality model, South Carolina, 2012–15

Hydrodynamic Modeling Results Showing the Effects of the Luce Bayou Interbasin Transfer on salinity in Lake Houston, TX

Fuzzy Similarity Analysis of Effective Training Samples to Improve Machine Learning Estimations of Water Quality Parameters Using Sentinel-2 Remote Sensing Data

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