Ten years of modeling the Deepwater Horizon oil spill

被引:19
作者
Ainsworth, C. H. [1 ]
Chassignet, E. P. [2 ]
French-McCay, D. [3 ]
Beegle-Krause, C. J. [4 ]
Berenshtein, I. [5 ]
Englehardt, J. [6 ]
Fiddaman, T. [7 ]
Huang, H. [9 ]
Huettel, M. [8 ]
Justic, D. [9 ]
Kourafalou, V. H. [5 ]
Liu, Y. [1 ]
Mauritzen, C. [10 ]
Murawski, S. [1 ]
Morey, S. [11 ]
Ozgokmen, T. [5 ]
Paris, C. B. [5 ]
Ruzicka, J. [12 ]
Saul, S. [13 ]
Shepherd, J. [14 ]
Socolofsky, S. [15 ]
Gabriele, H. Solo [6 ]
Sutton, T. [16 ]
Weisberg, R. H. [1 ]
Wilson, C. [17 ]
Zheng, L. [1 ]
Zheng, Y. [2 ]
机构
[1] Univ S Florida, Coll Marine Sci, 140 7th St, St Petersburg, FL 33701 USA
[2] Florida State Univ, Ctr Ocean Atmospher Predict Studies, 2000 Levy Ave, Tallahassee, FL 32306 USA
[3] RPS Ocean Sci, 55 Village Sq, South Kingstown, RI 02879 USA
[4] SINTEF Ocean, N-7465 Trondheim, Norway
[5] Univ Miami, Rosenstiel Sch Marine & Atmospher Sci, 4600 Rickenbacker Causeway, Miami, FL 33149 USA
[6] Univ Miami, Dept Civil Architectural & Environm Engn, 1251 Mem Dr, Coral Gables, FL 33146 USA
[7] Ventana Syst UK Ltd, 60 Jacob Gates Rd, Harvard, MA USA
[8] Florida State Univ, Dept Earth Ocean & Atmospher Sci, 1017 Acad Way,POB 3064520, Tallahassee, FL 32306 USA
[9] Louisiana State Univ, Coll Coast & Environm, Dept Oceanog & Coastal Sci, Baton Rouge, LA 70803 USA
[10] Norwegian Meteorol Inst, Postboks 43 Blindern, N-0371 Oslo, Norway
[11] Florida A&M Univ, FSH Sci Res Bldg, Tallahassee, FL 32307 USA
[12] Natl Marine Fisheries Serv, Pacific Isl Fisheries Sci Ctr, 1845 Wasp Blvd, Honolulu, HI 96818 USA
[13] Arizona State Univ, Coll Integrat Sci & Arts, Polytech Campus, Mesa, AZ 85212 USA
[14] Univ Southampton, Natl Oceanog Ctr, Sch Ocean & Earth Sci, European Way, Southampton SO14 3ZH, Hants, England
[15] Texas A&M Univ, Zachry Dept Civil & Environm Engn, 3136 TAMU, College Stn, TX 77843 USA
[16] Nova Southeastern Univ, Halmos Coll Arts & Sci, 8000 N Ocean Dr, Dania, FL 33004 USA
[17] Louisiana State Univ, Louisiana Sea Grant Coll Program, 239 Sea Grant Bldg, Baton Rouge, LA 70803 USA
关键词
Oil spill; Deepwater horizon; Oil transport and fate; Ecosystem; Socioeconomic; Numerical modeling; GULF-OF-MEXICO; DROPLET SIZE DISTRIBUTION; BOTTLE-NOSED DOLPHINS; WEST FLORIDA SHELF; WELL BLOWOUT; CONTINENTAL-SHELF; CONCEPTUAL-MODEL; SUBSEA BLOWOUT; SUBSURFACE OIL; SURFACE OIL;
D O I
10.1016/j.envsoft.2021.105070
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Since the 2010 Deepwater Horizon (DWH) oil spill, the Gulf of Mexico Research Initiative (GOMRI) has studied the oil spill from the perspectives of ocean environment, ecosystems, socioeconomics and human health. As GOMRI sunsets in its tenth year after the DWH oil spill, synthesis efforts recently took place to assess the accomplishments of the program. In this paper, we report on DWH modeling as part of GOMRI's Synthesis and Legacy effort. We compile a list of 330 published applications by GOMRI, the Natural Resource Damage Assessment (NRDA), and others studying the DWH oil spill and look at a wide range of subjects, tools, achievements, and integration with field research. We offer highlights and synthesis based on discussions and public webinars held in 2019 and 2020. We synthesize the significant achievements and advancements that have been made in integrating the various disciplines and domains from a modeling perspective. There was a large diversity of tools used, including at least 74 unique modeling systems. Most studies employed circulation models. These hydrodynamic models were often coupled to wave, river, and atmosphere models, as well as representations of high pressure physics and oil chemistry. Several research groups used Lagrangian transport models and statistical inference to track subsurface oil. Some coupled biophysical models were also employed to study oil fate and weathering, larval transport, biological effects, and population dynamics. In a few cases, such biophysical models were linked to marine populations and to humans through socioeconomics effects and ecosystem services. We consider models made for response planning and remediation, damage assessment, and restoration planning. There are relatively few socioeconomic or human health models, although those few examples make good use of biophysical modeling products. Our conclusions offer some insights on how the development of new tools has better prepared us for studying environmental management challenges in the Gulf of Mexico.
引用
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页数:15
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