The Chesapeake Bay program modeling system: Overview and recommendations for future development
Author
Abstract
Suggested Citation
DOI: 10.1016/j.ecolmodel.2021.109635
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Amin, M.G. Mostofa & Veith, Tamie L. & Collick, Amy S. & Karsten, Heather D. & Buda, Anthony R., 2017. "Simulating hydrological and nonpoint source pollution processes in a karst watershed: A variable source area hydrology model evaluation," Agricultural Water Management, Elsevier, vol. 180(PB), pages 212-223.
- Koralewski, Tomasz E. & Westbrook, John K. & Grant, William E. & Wang, Hsiao-Hsuan, 2019. "Coupling general physical environmental process models with specific question-driven ecological simulation models," Ecological Modelling, Elsevier, vol. 405(C), pages 102-105.
- Wainger, Lisa A. & Van Houtven, George & Loomis, Ross & Messer, Jay & Beach, Robert & Deerhake, Marion, 2013.
"Tradeoffs among Ecosystem Services, Performance Certainty, and Cost-efficiency in Implementation of the Chesapeake Bay Total Maximum Daily Load,"
Agricultural and Resource Economics Review, Cambridge University Press, vol. 42(1), pages 196-224, April.
- Wainger, Lisa A. & Van Houtven, George & Loomis, Ross & Messer, Jay & Beach, Robert H. & Deerhake, Marion, 2013. "Tradeoffs among Ecosystem Services, Performance Certainty, and Cost-efficiency in Implementation of the Chesapeake Bay Total Maximum Daily Load," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 42(1), pages 1-29, April.
- Dalyander, P. Soupy & Cerco, Carl F., 2010. "Integration of a fish bioenergetics model into a spatially explicit water quality model: Application to menhaden in Chesapeake Bay," Ecological Modelling, Elsevier, vol. 221(16), pages 1922-1933.
- Markus Reichstein & Gustau Camps-Valls & Bjorn Stevens & Martin Jung & Joachim Denzler & Nuno Carvalhais & Prabhat, 2019. "Deep learning and process understanding for data-driven Earth system science," Nature, Nature, vol. 566(7743), pages 195-204, February.
- Amin, M.G. Mostofa & Karsten, Heather D. & Veith, Tamie L. & Beegle, Douglas B. & Kleinman, Peter J., 2018. "Conservation dairy farming impact on water quality in a karst watershed in northeastern US," Agricultural Systems, Elsevier, vol. 165(C), pages 187-196.
- Heather Klemick & Charles Griffiths & Dennis Guignet & Patrick Walsh, 2018. "Improving Water Quality in an Iconic Estuary: An Internal Meta-analysis of Property Value Impacts Around the Chesapeake Bay," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(2), pages 265-292, February.
- Ma, Hongguang & Townsend, Howard & Zhang, Xinsheng & Sigrist, Maddy & Christensen, Villy, 2010. "Using a fisheries ecosystem model with a water quality model to explore trophic and habitat impacts on a fisheries stock: A case study of the blue crab population in the Chesapeake Bay," Ecological Modelling, Elsevier, vol. 221(7), pages 997-1004.
- Ihde, Thomas F. & Townsend, Howard M., 2017. "Accounting for multiple stressors influencing living marine resources in a complex estuarine ecosystem using an Atlantis model," Ecological Modelling, Elsevier, vol. 365(C), pages 1-9.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Boddiford, Ashley N. & Kaufman, Daniel E. & Skipper, Daphne E. & Uhan, Nelson A., 2023. "Approximating a linear multiplicative objective in watershed management optimization," European Journal of Operational Research, Elsevier, vol. 305(2), pages 547-561.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Zeyuan Qiu & Steve W. Lyon & Ellen Creveling, 2020. "Defining a Topographic Index Threshold to Delineate Hydrologically Sensitive Areas for Water Resources Planning and Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(11), pages 3675-3688, September.
- Licheng Liu & Wang Zhou & Kaiyu Guan & Bin Peng & Shaoming Xu & Jinyun Tang & Qing Zhu & Jessica Till & Xiaowei Jia & Chongya Jiang & Sheng Wang & Ziqi Qin & Hui Kong & Robert Grant & Symon Mezbahuddi, 2024. "Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
- Rozenstein, Offer & Fine, Lior & Malachy, Nitzan & Richard, Antoine & Pradalier, Cedric & Tanny, Josef, 2023. "Data-driven estimation of actual evapotranspiration to support irrigation management: Testing two novel methods based on an unoccupied aerial vehicle and an artificial neural network," Agricultural Water Management, Elsevier, vol. 283(C).
- Jiang, Hou & Lu, Ning & Huang, Guanghui & Yao, Ling & Qin, Jun & Liu, Hengzi, 2020. "Spatial scale effects on retrieval accuracy of surface solar radiation using satellite data," Applied Energy, Elsevier, vol. 270(C).
- Wen Zhang & Jing Li & Yunhao Chen & Yang Li, 2019. "A Surrogate-Based Optimization Design and Uncertainty Analysis for Urban Flood Mitigation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(12), pages 4201-4214, September.
- Rath, S. & Zamora-Re, M. & Graham, W. & Dukes, M. & Kaplan, D., 2021. "Quantifying nitrate leaching to groundwater from a corn-peanut rotation under a variety of irrigation and nutrient management practices in the Suwannee River Basin, Florida," Agricultural Water Management, Elsevier, vol. 246(C).
- Jingchao Liu & Jin Wu & Shaowei Rong & Yanna Xiong & Yanguo Teng, 2022. "Groundwater Vulnerability and Groundwater Contamination Risk in Karst Area of Southwest China," Sustainability, MDPI, vol. 14(21), pages 1-13, November.
- Feng, Jiaojiao & Wang, Weizhen & Xu, Feinan & Wang, Shengtang, 2024. "Evaluating the ability of deep learning on actual daily evapotranspiration estimation over the heterogeneous surfaces," Agricultural Water Management, Elsevier, vol. 291(C).
- Wang, Hsiao-Hsuan & Grant, William E. & Koralewski, Tomasz E. & Elliott, Norman C. & Brewer, Michael J. & Westbrook, John K., 2020. "Where do all the aphids go? A series of thought experiments within the context of area-wide pest management," Agricultural Systems, Elsevier, vol. 185(C).
- Richard C. Bishop & Kevin J. Boyle, 2021. "On Adding-Up as a Validity Criterion for Stated-Preference Studies," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(3), pages 587-601, November.
- Ribaudo, Marc & Savage, Jeffrey, 2014.
"Controlling non-additional credits from nutrient management in water quality trading programs through eligibility baseline stringency,"
Ecological Economics, Elsevier, vol. 105(C), pages 233-239.
- Savage, Jeffrey & Ribaudo, Marc, 2014. "Controlling Non-additional Credits from Nutrient Management in Water Quality Trading Programs Through Eligibility Baseline Stringency," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170426, Agricultural and Applied Economics Association.
- Mohanad A. Deif & Ahmed A. A. Solyman & Mohammed H. Alsharif & Seungwon Jung & Eenjun Hwang, 2021. "A Hybrid Multi-Objective Optimizer-Based SVM Model for Enhancing Numerical Weather Prediction: A Study for the Seoul Metropolitan Area," Sustainability, MDPI, vol. 14(1), pages 1-17, December.
- Zhang, Shuangyi & Li, Xichen, 2021. "Future projections of offshore wind energy resources in China using CMIP6 simulations and a deep learning-based downscaling method," Energy, Elsevier, vol. 217(C).
- Florian Reiner & Martin Brandt & Xiaoye Tong & David Skole & Ankit Kariryaa & Philippe Ciais & Andrew Davies & Pierre Hiernaux & Jérôme Chave & Maurice Mugabowindekwe & Christian Igel & Stefan Oehmcke, 2023. "More than one quarter of Africa’s tree cover is found outside areas previously classified as forest," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
- Jiang, Long & Xia, Meng, 2017. "Wind effects on the spring phytoplankton dynamics in the middle reach of the Chesapeake Bay," Ecological Modelling, Elsevier, vol. 363(C), pages 68-80.
- Dennis Guignet & Matthew T. Heberling & Michael Papenfus & Olivia Griot, 2022.
"Property Values, Water Quality, and Benefit Transfer: A Nationwide Meta-analysis,"
Land Economics, University of Wisconsin Press, vol. 98(2), pages 191-218.
- Dennis Guignet & Matthew T. Heberling & Michael Papenfus & Olivia Griot & Ben Holland, 2020. "Property values, water quality, and benefit transfer: A nationwide meta-analysis," Working Papers 20-04, Department of Economics, Appalachian State University.
- Han, Jeong-Ho & Kumar, Hema K. & Lee, Jae Hoon & Zhang, Chang-Ik & Kim, Se-Wha & Lee, Jung-Ho & Kim, Sang Don & An, Kwang-Guk, 2011. "Integrative trophic network assessments of a lentic ecosystem by key ecological approaches of water chemistry, trophic guilds, and ecosystem health assessments along with an ECOPATH model," Ecological Modelling, Elsevier, vol. 222(19), pages 3457-3472.
- Caracappa, Joseph C. & Beet, Andrew & Gaichas, Sarah & Gamble, Robert J. & Hyde, Kimberly J.W. & Large, Scott I. & Morse, Ryan E. & Stock, Charles A. & Saba, Vincent S., 2022. "A northeast United States Atlantis marine ecosystem model with ocean reanalysis and ocean color forcing," Ecological Modelling, Elsevier, vol. 471(C).
- Wang, Yukuan & Liu, Jingxian & Liu, Ryan Wen & Wu, Weihuang & Liu, Yang, 2023. "Interval prediction of vessel trajectory based on lower and upper bound estimation and attention-modified LSTM with bayesian optimization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
- Gianluca Biggi & Martina Iori & Julia Mazzei & Andrea Mina, 2024. "Green Intelligence: The AI content of green technologies," LEM Papers Series 2024/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
More about this item
Keywords
Chesapeake bay program; NOAA Chesapeake Bay office; Environmental protection agency; Modeling; Airshed modeling; Watershed modeling; Estuarine modeling; Hydrodynamic modeling; Biogeochemical Modeling; Living Resource Modeling; Chesapeake Assessment Scenario Tool; Total Maximum Daily Load; Chesapeake Bay Agreement;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:456:y:2021:i:c:s0304380021001964. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.