Article
Environmental Sciences
Grey R. Evenson, Margaret Kalcic, Yu-Chen Wang, Dale Robertson, Donald Scavia, Jay Martin, Noel Aloysius, Anna Apostel, Chelsie Boles, Michael Brooker, Remegio Confesor, Awoke Teshager Dagnew, Tian Guo, Jeffrey Kast, Haley Kujawa, Rebecca Logsdon Muenich, Asmita Murumkar, Todd Redder
Summary: Using an ensemble of models to simulate critical source areas (CSAs) at the watershed scale, the study found that CSA locations are highly uncertain and may vary substantially across models, with only a subset of CSAs being consistently identified by different models.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Engineering, Civil
Rajith Mukundan, Rakesh K. Gelda, Mahrokh Moknatian, Xuesong Zhang, Tammo S. Steenhuis
Summary: This study transformed the SWAT-Carbon (C) model to simulate dissolved organic carbon (DOC) from variable source runoff areas in a humid forested watershed in the northeastern United States. The calibrated model accurately simulated streamflow and DOC flux, and showed sensitivity to soil properties and precipitation. The good performance of the model makes it a valuable tool for understanding the influence of climate and watershed management on DOC and developing mitigation strategies.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
Jincheng Li, Mengchen Hu, Wenjing Ma, Yong Liu, Feifei Dong, Rui Zou, Yihui Chen
Summary: This study presents a novel Bayesian modeling framework for BMPs planning, integrating watershed modeling and Bayesian optimization algorithm to address multiple uncertainties. The study identifies priority management areas (PMAs) and reveals the influence of uncertainties on optimal planning. The analysis shows that precipitation is the most influential source of uncertainties in BMP effectiveness.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Computer Science, Interdisciplinary Applications
Ashish Soren, Yogendra Shastri
Summary: An optimization model for designing a resilient biomass to energy system is applied to study commercial scale ethanol production. The results show up to 4.1% benefit due to the proposed approach over a conventional approach that ignores drought. Crop specific scenarios showed that drought affected the facility locations, capacities as well as procurement strategies.
COMPUTERS & CHEMICAL ENGINEERING
(2021)
Article
Biotechnology & Applied Microbiology
Abdelfatah Abomohra, Mei Li, Shah Faisal, Li Li, Mahdy Elsayed
Summary: The present study optimized the composition of synthetic wastewater as a mixotrophic medium for the growth and lipid accumulation of Chlorella sp., while simultaneously achieving high nitrogen removal. The results showed that the highest lipid productivity was achieved at 25% seawater and 4 g/L glycerol supplementation. Through central composite design and numerical optimization, the optimum conditions for maximum lipid productivity and nitrogen removal were determined. Under the optimized conditions, the dry weight, lipid content, and lipid productivity of Chlorella sp. significantly increased. Moreover, the optimization process also resulted in changes in the fatty acid proportions, leading to biodiesel characteristics that met international standards. This study provides an economical approach for enhancing biodiesel production through the optimization and efficient nutrient recycling of Chlorella sp.
FERMENTATION-BASEL
(2022)
Article
Computer Science, Interdisciplinary Applications
Garett Pignotti, Hendrik Rathjens, Indrajeet Chaubey, Mark Williams, Melba Crawford
Summary: The study found a strong sensitivity of model predictions to perturbations in soil moisture, especially at the watershed scale. The results highlight the need to improve soil moisture simulations, suggesting that more accurately simulating soil moisture may improve the accuracy of key model predictions.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Computer Science, Interdisciplinary Applications
Mohammad Sadegh Maleki Tirabadi, Mohammad Ebrahim Banihabib, Timothy O. Randhir
Summary: This study proposes a method to model natural salinity processes in watershed systems using new salinity equations in SWAT, which can utilize low-quality maps for salinity modeling. This methodology can be used to assess the impacts of management practices, climate change, and land-use changes on non-point source pollution at a watershed scale.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Environmental Sciences
Xiaoman Yan, Ziqi Zhang, Lei Chen, Cong Jiao, Kaihang Zhu, Jinsong Guo, Mingyue Pang, Zhongtian Jin, Zhenyao Shen
Summary: In this study, a new framework integrating the hydrological processes of SWAT and the pesticide fate of the fugacity model was proposed and applied to a typical watershed in the Three Gorges Reservoir Area, China. The results demonstrated spatiotemporal variation in pesticide concentrations, with peaks in water phase during summer, and identified the middle and southwest regions of the watershed as hotspots for pesticide pollution.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Environmental Sciences
Mohammad Sadegh Maleki Tirabadi, Mohammad Ebrahim Banihabib, Timothy O. Randhir
Summary: The study introduces a flexible water and soil salinity module that can incorporate expert scientific judgments into a deterministic framework, allowing for adaptation of predicted salinity processes to actual processes at watershed-scale. This model was successfully applied to the Dehram River Basin in Iran to address both natural and anthropogenic salinity issues.
JOURNAL OF CONTAMINANT HYDROLOGY
(2022)
Article
Engineering, Civil
Mohammad Sadegh Maleki Tirabadi, Mohammad Ebrahim Banihabib, Timothy O. Randhir
Summary: This study presents an integrated framework for watershed-scale salinity modeling by modifying the SWAT-S model linked to the SWAP model. The model was applied to the Mond River Basin in Iran and showed satisfactory performance in calibration and validation, indicating high accuracy in simulation.
JOURNAL OF HYDROLOGY
(2022)
Article
Computer Science, Artificial Intelligence
Sheng Qi, Juan Zou, Shengxiang Yang, Jinhua Zheng
Summary: This paper proposes a level-based multi-strategy learning swarm algorithm called LSLSO, which solves the problem of particle swarm optimization in high-dimensional space and has strong exploration and exploitation capabilities.
SWARM AND EVOLUTIONARY COMPUTATION
(2022)
Article
Engineering, Civil
Dipesh Nepal, Prem B. Parajuli, Ying Ouyang, S. D. Filip To, Nuwan Wijewardane
Summary: This study examines the hydrology and water quality modeling in a watershed with the introduction of multi-year land use and land cover (LULC) input. The results show that the dynamic LULC input improves the performance of the model compared to the static LULC input, allowing for a more accurate analysis of the effects of historical LULC change. Additionally, agricultural management operations enable a more realistic simulation of runoff, sediments, total nitrogen, and total phosphorus.
JOURNAL OF HYDROLOGY
(2023)
Article
Green & Sustainable Science & Technology
Kotchakarn Nantasaksiri, Patcharawat Charoen-amornkitt, Takashi Machimura, Kiichiro Hayashi
Summary: Napier grass has positive impacts on hydrology and water quality, reducing surface runoff and sediment yield when planted. Moderate nitrogen fertilizer application can enhance energy supply and reduce CO2 emissions from Napier grass.
Article
Water Resources
Garett Pignotti, Indrajeet Chaubey, Keith Cherkauer, Mark Williams, Melba Crawford
Summary: The study demonstrates the need for continued efforts to enhance soil water model representation for improving biophysical process simulations, with changing soil water percolation methods showing significant improvements in the simulation efficiency of water resource management models.
HYDROLOGICAL PROCESSES
(2021)
Article
Engineering, Environmental
Vahid Rafiei, Pouyan Nejadhashemi
Summary: Developing a distributed hydrogeochemical model to understand the fate and transport of PFAS in a large-scale watershed, this study successfully reproduced the spatiotemporal concentration of PFOS. Surface runoff and sediment transport were identified as significant pathways for PFOS release, particularly in urban and industrial areas with biosolids application. Factors such as topography, soil water retention, and water-solid adsorption were found to influence PFOS transport dynamics at the watershed scale for better source identification and management.
Article
Engineering, Civil
Ping Li, Rebecca L. Muenich, Indrajeet Chaubey, Xiaomei Wei
WATER RESOURCES MANAGEMENT
(2019)
Article
Agriculture, Multidisciplinary
Sheri Spiegal, Peter J. A. Kleinman, Dinku M. Endale, Ray B. Bryant, Curtis Dell, Sarah Goslee, Robert J. Meinen, K. Colton Flynn, John M. Baker, Dawn M. Browning, Greg McCarty, Shabtai Bittman, Jennifer Carter, Michel Cavigelli, Emily Duncan, Prasanna Gowda, Xia Li, Guillermo E. Ponce-Campos, Raj Cibin, Maria L. Silveira, Doulas R. Smith, Dan K. Arthur, Qichun Yang
AGRICULTURAL SYSTEMS
(2020)
Article
Environmental Sciences
Fei Jiang, Heather E. Preisendanz, Tamie L. Veith, Raj Cibin, Patrick J. Drohan
JOURNAL OF ENVIRONMENTAL QUALITY
(2020)
Article
Agriculture, Multidisciplinary
Fei Jiang, Patrick J. Drohan, Raj Cibin, Heather E. Preisendanz, Charles M. White, Tamie L. Veith
Summary: Meeting the challenge of balancing food production needs with water quality maintenance is crucial in watersheds globally. By exploring a soil-based land use framework, the EU has shown potential for economic and environmental targets. Through redistribution of crop rotations, significant water quality improvements were achieved in a sub-watershed of the Chesapeake Bay without the need for additional practices.
AGRICULTURAL SYSTEMS
(2021)
Article
Environmental Sciences
Lidiia Iavorivska, Tamie L. Veith, Raj Cibin, Heather E. Preisendanz, Alan D. Steinman
Summary: The study indicates that achieving the TMDL-mandated TP reduction of 72% is possible through widespread adoption of multiple BMPs (including continuous no-till with high residue, cover crops, filter strips, and conversion of some marginal croplands to perennial grasses) across all the watershed's row croplands.
JOURNAL OF GREAT LAKES RESEARCH
(2021)
Article
Engineering, Environmental
Pandara Valappil Femeena, Ritesh Karki, Raj Cibin, K. P. Sudheer
Summary: This study introduces an improved HRU definition method that minimizes the loss of watershed biophysical information without significantly increasing the number of HRUs or lowering user-defined thresholds. The new HRU model better represents land use and soil distribution characteristics and improves the simulation of hydrological and water quality variables compared to the default SWAT model.
JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION
(2022)
Article
Engineering, Environmental
Mahalingam Jayaprathiga, Raj Cibin, K. P. Sudheer
Summary: Physics-based, comprehensive, distributed hydrologic models are widely used for analyzing the impact of land management practices on watershed hydrology and water quality. However, limited data and coarse global-scale datasets can significantly affect the reliability of the simulations.
JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION
(2022)
Article
Engineering, Environmental
Gourab K. Saha, Raj Cibin, Herschel A. Elliott, Heather E. Preisendanz
Summary: This study evaluated the potential environmental impacts of manure application, the robustness of the previous developed land suitability framework, and identified landscape biophysical attributes driving manure nutrient loss. The results provide critical insights toward developing a robust framework for sustainable manure utilization.
JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION
(2022)
Article
Computer Science, Interdisciplinary Applications
Tian Guo, Yaoze Liu, Gang Shao, Bernard A. Engel, Ashish Sharma, Lucy A. Marshall, Dennis C. Flanagan, Raj Cibin, Carlington W. Wallace, Kaiguang Zhao, Dongyang Ren, Johann Vera Mercado, Mohamed A. Aboelnour
Summary: This study generated and evaluated probabilistic hydrologic and water quality predictions at 18 locations in the U.S., and found the best predictive uncertainties using a residual-based modeling approach. The ensemble average of hydrologic and water quality simulations better represented the predictive uncertainty compared to a single realization of simulations, especially for large watersheds. The study recommends various methods to improve the robustness and uncertainty of hydrologic and water quality predictions.
ENVIRONMENTAL MODELLING & SOFTWARE
(2022)
Review
Environmental Sciences
Peter J. A. Kleinman, Sheri A. Spiegal, Maria L. Silviera, John M. Baker, Curtis J. Dell, Shabtai Bittman, Raj Cibin, Peter A. Vadas, Michael D. Buser, Teferi Tsegaye
Summary: Specialization and intensification in agriculture have led to separation of crop and animal production, resulting in the accumulation of manure in concentrated regions. To address this issue, manureshed management provides an organizing framework for integrating animal and crop production and strategically recycling manure nutrients in agricultural systems. This approach requires reorganizing resource flows and considering the unique characteristics of managing manure nutrients in different livestock industries.
JOURNAL OF ENVIRONMENTAL QUALITY
(2022)
Article
Environmental Sciences
Arghajeet Saha, Gourab K. K. Saha, Raj Cibin, Sheri Spiegal, Peter J. A. Kleinman, Tamie L. L. Veith, Charles. M. White, Patrick. J. Drohan, Teferi Tsegaye
Summary: Manureshed management aims to guide the sustainable use of manure resources by matching crop demand areas with areas generating livestock manure. This study quantified the potential water quality benefits of manureshed-oriented management in the Susquehanna River Basin through scenario-based analyses. Different manureshed management scenarios were compared with a business-as-usual scenario, and phosphorus-based management was found to be more effective in improving water quality.
JOURNAL OF ENVIRONMENTAL QUALITY
(2023)
Article
Environmental Sciences
Arghajeet Saha, Raj Cibin, Tamie L. Veith, CharlesM. White, PatrickJ. Drohan
Summary: The timing and placement of manure application have a significant impact on nutrient use efficiency and nutrient loss from fields. Application of manure before a minimal precipitation period and incorporation of manure can reduce nutrient loss through surface runoff. This study aimed to assess water quality impacts of manure application strategies on timing and approach using the Soil and Water Assessment Tool. Results showed that strategically timed manure application and low-disturbance incorporation significantly reduced TN and TP loading at the watershed outlet. Winter closure of manure application could reduce organic nutrient loss, but winter application of manure in certain areas increased organic N and P loading at the outlet.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Agricultural Engineering
Jamie Weikel, Ritesh Karki, Raj Cibin
Summary: The Soil Conservation Service (SCS) Curve Number (CN) method is a widely used model for estimating surface runoff. The model, developed by the Natural Resources Conservation Service (NRCS), considers factors such as land cover, soil type, and precipitation depth. However, due to its development over 60 years ago with limited data, the NRCS is considering revising the model with the help of an ASCE-ASABE task group. The proposed revisions aim to improve the estimation of hydrologic response and water quality variables, especially for low flow events. The revisions also have implications for design storm runoff analysis.
JOURNAL OF THE ASABE
(2022)
Review
Green & Sustainable Science & Technology
Rouhangiz Yavari, Demetrius Zaliwciw, Raj Cibin, Lauren McPhillips
Summary: As solar energy becomes cheaper, solar farms are rapidly growing. The impact of these farms on hydrology and water quality is still uncertain, but research suggests that coupling solar farms with agriculture can reduce evaporation and crop stress. Current recommendations for managing solar farms mainly focus on stormwater management and promoting infiltration of runoff, but more research is needed to determine their adequacy, especially in less ideal sites.
ENVIRONMENTAL RESEARCH: INFRASTRUCTURE AND SUSTAINABILITY
(2022)
Article
Agricultural Engineering
G. K. Saha, R. Cibin, H. A. Elliott, H. E. Preisendanz
Summary: This study presents a land suitability framework and decision-support tools for sustainable manure management, which can help identify areas suitable for environmentally sustainable animal agriculture. The framework considers seven environmental vulnerability factors and classifies land based on suitability levels.
TRANSACTIONS OF THE ASABE
(2021)
Article
Computer Science, Interdisciplinary Applications
Jeffrey Wade, Christa Kelleher, Barret L. Kurylyk
Summary: This study developed a physically-based water temperature model coupled with the National Water Model (NWM) to assess the potential for water temperature prediction to be incorporated into the NWM at the continental scale. By evaluating different model configurations of increasing complexity, the study successfully simulated hourly water temperatures in the forested headwaters of H.J. Andrews Experimental Forest in Oregon, USA, providing a basis for integrating water temperature simulation with predictions from the NWM.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Shaun SH. Kim, Lucy A. Marshall, Justin D. Hughes, Lynn Seo, Julien Lerat, Ashish Sharma, Jai Vaze
Summary: A major challenge in hydrologic modelling is producing reliable uncertainty estimates outside of calibration periods. This research addresses the challenge by improving model structures and error models to more reliably estimate uncertainty. The combination of the RBS model and SPUE produces statistically reliable predictions and shows better matching performance in tests.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Juan Pedro Carbonell-Rivera, Javier Estornell, Luis Angel Ruiz, Pablo Crespo-Peremarch, Jaime Almonacid-Caballer
Summary: This study presents Class3Dp, a software for classifying vegetation species in colored point clouds. The software utilizes geometric, spectral, and neighborhood features along with machine learning methods to classify the point cloud, allowing for the recognition of species composition in an ecosystem.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Zhi Li, Daniel Caviedes-Voullieme, Ilhan Oezgen-Xian, Simin Jiang, Na Zheng
Summary: The optimal strategy for solving the Richards equation numerically depends on the specific problem, particularly when using GPUs. This study investigates the parallel performance of four numerical schemes on both CPUs and GPUs. The results show that the scaling of Richards solvers on GPUs is influenced by various factors. Compared to CPUs, parallel simulations on GPUs exhibit significant variation in scaling across different code sections, with poorly-scaled components potentially impacting overall performance. Nonetheless, using GPUs can greatly enhance computational speed, especially for large-scale problems.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Ludovic Cassan, Leo Pujol, Paul Lonca, Romain Guibert, Helene Roux, Olivier Mercier, Dominique Courret, Sylvain Richard, Pierre Horgue
Summary: Methods and algorithms for measuring stream surface velocities have been continuously developed over the past five years to adapt to specific flow typologies. The free software ANDROMEDE allows easy use and comparison of these methods with image processing capabilities designed for measurements in natural environments and with unmanned aerial vehicles. The validation of the integrated algorithms is presented on three case studies that represent the targeted applications: the study of currents for eco-hydraulics, the measurement of low water flows and the diagnosis of hydraulic structures. The field measurements are in very good agreement with the optical measurements and demonstrate the usefulness of the tool for rapid flow diagnosis for all the intended applications.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Mariia Kozlova, Robert J. Moss, Julian Scott Yeomans, Jef Caers
Summary: This paper introduces a framework for quantitative sensitivity analysis using the SimDec visualization method, and tests its effectiveness on decision-making problems. The framework captures critical information in the presence of heterogeneous effects, and enhances its practicality by introducing a formal definition and classification of heterogeneous effects.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Chad R. Palmer, Denis Valle, Edward V. Camp, Wendy-Lin Bartels, Martha C. Monroe
Summary: Simulation games have been used in natural resource management for education and communication purposes, but not for data collection. This research introduces a new design process which involves stakeholders and emphasizes usability, relevance, and credibility testing criteria. The result is a finalized simulation game for future research.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Tao Wang, Chenming Zhang, Ye Ma, Harald Hofmann, Congrui Li, Zicheng Zhao
Summary: This study used numerical modeling to investigate the formation process of iron curtains under different freshwater and seawater conditions. It was found that Fe(OH)3 accumulates on the freshwater side, while the precipitation is inhibited on the seaward side due to high H+ concentrations. These findings enhance our understanding of iron transformation and distribution in subterranean estuaries.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Grant Hutchings, James Gattiker, Braden Scherting, Rodman R. Linn
Summary: Computational models for understanding and predicting fire in wildland and managed lands are becoming increasingly impactful. This paper addresses the characterization and population of mid-story fuels, which are not easily observable through traditional survey or remote sensing. The authors present a methodology to populate the mid-story using a generative model for fuel placement, which can be calibrated based on limited observation datasets or expert guidance. The connection of terrestrial LiDAR as the observations used to calibrate the generative model is emphasized. Code for the methods in this paper is provided.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Saswata Nandi, Pratiman Patel, Sabyasachi Swain
Summary: IMDLIB is an open-source Python library that simplifies the retrieval and processing of gridded meteorological data from IMD, enhancing data accessibility and facilitating hydro-climatic research and analysis.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Pengfei Wu, Jintao Liu, Meiyan Feng, Hu Liu
Summary: In this paper, a new flow distance algorithm called D infinity-TLI is proposed, which accurately estimates flow distance and width function using a two-segment-distance strategy and triangulation with linear interpolation method. The evaluation results show that D infinity-TLI outperforms existing algorithms and has a low mean absolute relative error.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
