Use of Hydrologic and Hydrodynamic Modeling for Ecosystem Restoration
العنوان: | Use of Hydrologic and Hydrodynamic Modeling for Ecosystem Restoration |
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المؤلفون: | Eric D. Swain, Yongshan Wan, Vic Engel, Jayantha Obeysekera, Laura Kuebler, Christian D. Langevin, Shabbir Ahmed, Miao-LI Chang |
المصدر: | Critical Reviews in Environmental Science and Technology. 41:447-488 |
بيانات النشر: | Informa UK Limited, 2011. |
سنة النشر: | 2011 |
مصطلحات موضوعية: | Hydrology, Environmental Engineering, business.industry, Hydrological modelling, Environmental resource management, Comprehensive Everglades Restoration Plan, Pollution, Water resources, Hydrology (agriculture), Agriculture, Environmental science, Ecosystem, business, Waste Management and Disposal, Restoration ecology, Water Science and Technology |
الوصف: | Planning and implementation of unprecedented projects for restoring the greater Everglades ecosystem are underway and the hydrologic and hydrodynamic modeling of restoration alternatives has become essential for success of restoration efforts. In view of the complex nature of the South Florida water resources system, regional-scale (system-wide) hydrologic models have been developed and used extensively for the development of the Comprehensive Everglades Restoration Plan. In addition, numerous subregional-scale hydrologic and hydrodynamic models have been developed and are being used for evaluating project-scale water management plans associated with urban, agricultural, and inland costal ecosystems. The authors provide a comprehensive summary of models of all scales, as well as the next generation models under development to meet the future needs of ecosystem restoration efforts in South Florida. The multiagency efforts to develop and apply models have allowed the agencies to understand the complex hydro... |
تدمد: | 1547-6537 1064-3389 |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::54070632b4bc44f4d519face8363bec5 https://doi.org/10.1080/10643389.2010.531226 |
رقم الأكسشن: | edsair.doi...........54070632b4bc44f4d519face8363bec5 |
قاعدة البيانات: | OpenAIRE |
تدمد: | 15476537 10643389 |
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