Hydrocomplexity: Addressing water security and emergent environmental risks

Water Resources Research

Volumn 51, Issue 7, 2015, Pages 5827-5838

  Kumar, Praveen ^a  

^a University of Illinois at Urbana Champaign   (United States)

Author keywords

cyberinfrastructure; emergent risk; hydrocomplexity; institutional network; water security

Indexed keywords

BIODIVERSITY; CLIMATE CHANGE; COMPLEX NETWORKS; EMBEDDED SYSTEMS; FOOD SUPPLY; HEALTH RISKS; POPULATION STATISTICS; SUSTAINABLE DEVELOPMENT; URBAN GROWTH;

ADAPTATION STRATEGIES; CYBER INFRASTRUCTURES; ENVIRONMENTAL CHALLENGES; HYDROCOMPLEXITY; INSTITUTIONAL APPROACHES; PLANNING AND DESIGN; URBAN SUSTAINABILITY; WATER SECURITY;

RISKS;

BIODIVERSITY; DESIGN; ENVIRONMENTAL RISK; FOOD SECURITY; GLOBAL PERSPECTIVE; GREEN REVOLUTION; HEALTH RISK; INSTITUTIONAL FRAMEWORK; PLANNING METHOD; PUBLIC HEALTH; RISK ASSESSMENT; SUSTAINABILITY; TECHNOLOGICAL DEVELOPMENT; VULNERABILITY;

EID: 84939425476     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/2015WR017342     Document Type: Article

References (67)

1. Anderson, P. W., (1972), More is different, Science, 177 (4047), 393-396, doi: 10.1126/science.177.4047.393.
2. Angelakis, A. N., L. W. Mays, D. Koutsoyiannis, and, N. Mamassis, (2012), Evolution of Water Supply Through the Millennia, 584 pp., IWA Publ., London, U. K.
3. Balasis, G., R. V. Donner, S. M. Potirakis, J. Runge, C. Papadimitriou, I. A. Daglis, K. Eftaxias, and, J. Kurths, (2013), Statistical mechanics and information-theoretic perspectives on complexity in the Earth system, Entropy, 15 (11), 4844-4888, doi: 10.3390/e15114844.
4. Baldocchi, D., (2008), 'Breathing' of the terrestrial biosphere: Lessons learned from a global network of carbon dioxide flux measurement systems, Aust. J. Bot., 56 (1), 1-26.
5. Banerjee, D., (2010), Mobile-phone farming, Wall Street J. [Available at http://www.wsj.com/articles/SB10001424052748703846604575447420497483404, last accessed Mar. 2015.]
6. Barnosky, A. D., et al., (2012), Approaching a state shift in Earth's biosphere, Nature, 486 (7401), 52-58, doi: 10.1038/nature11018.
7. Berners-Lee, T., J. Hendler, and, O. Lassila, (2001), The semantic web, Sci. Am. Mag., 284 (5), 36-43.
8. Brantley, S., et al., (2006), Frontiers in Exploration of the Critical Zone, 30 pp., Natl. Sci. Found., Newark, Del.
9. Cai, X., X. Zhang, and, D. Wang, (2011), Land availability for biofuel production, Environ. Sci. Technol., 45 (1), 334-339, doi: 10.1021/es103338e.
10. CSIS (2005), Global Water Futures, Washington, D. C.
11. Elag, M., P. Kumar, L. Marini, and, S. D. Peckham, (2015), Semantic interoperability of long-tail geoscience resources over the web, in Large-Scale Machine Learning in the Earth Sciences, edited by, A. N. Srivastava, R. Nemani, and, K. Steinhaeuser, Chapman and Hall.
12. Erisman, J. W., G. Brasseur, P. Ciais, N. van Eekeren, and, T. L. Theis, (2015), Put people at the center of global risk management, Nature, 519, 151-153.
13. Feng, X., A. Porporato, and, I. Rodriguez-Iturbe, (2013), Changes in rainfall seasonality in the tropics, Nat. Clim. Change, 3, 811-815, doi: 10.1038/nclimate1907.
14. Folke, C., S. Carpenter, B. Walker, M. Scheffer, T. Elmqvist, L. Gunderson, and, C. S. Holling, (2004), Regime shift, resilience and biodiversity in ecosystem management, Annu. Rev. Ecol. Evol. Syst., 35, 557-581.
15. Gleick, P. H., (2003), Global freshwater resources: Soft-path solutions for the 21st century, Science, 302, 1524-1528, doi: 10.1126/science.1089967.
16. Goodwell, A., Z. Zhu, D. Dutta, J. Greenberg, P. Kumar, M. Garcia, B. Rhoads, G. Parker, R. Holmes, and, D. Beretta, (2014), Assessment of floodplain vulnerability during extreme Mississippi River Flood 2011, Environ. Sci. Technol., 48 (5), 2619-2625, doi: 10.1021/es404760t.
17. Hey, T., S. Tansley, and, K. Tolle, (Eds.) (2009), The Fourth Paradigm: Data-Intensive Scientific Discovery, 284 pp., Microsoft Res., Redmond, Wash.
18. Hirsch, R. M., and, S. A. Archfield, (2015), Flood trends: Not higher but more often, Nature, 5 (3), 198-199, doi: 10.1038/nclimate2551.
19. Hrachowitz, M., et al., (2013), A decade of Predictions in Ungauged Basins (PUB)-A review, Hydrol. Sci. J., 58 (6), 1198-1255, doi: 10.1080/02626667.2013.803183.
20. Huh, W. T., and, U. Lall, (2013), Optimal crop choice, irrigation allocation, and the impact of contract farming, Prod. Oper. Manage., 22 (5), 1126-1143, doi: 10.1111/poms.12007.
21. Ionescu, C., R. J. T. Klein, J. Hinkel, K. S. K. Kumar, and, R. Klein, (2009), Towards a formal framework of vulnerability to climate change, Environ. Model. Assess., 14, 1-16, doi: 10.1007/s10666-008-9179-x.
22. Kumar P., (2007), Variability, feedback, and cooperative process dynamics: Elements of a unifying hydrologic theory, Geogr. Compass, 1 (6), 1338-1360.
23. Kumar, P., (2011), Typology of hydrologic predictability, Water Resour. Res., 47, W00H05, doi: 10.1029/2010WR009769.
24. Kumar, P., (2013), Hydrology: Seasonal rain changes, Nat. Clim. Change, 3, 783-784, doi: 10.1038/nclimate1996.
25. Kumar, P., and, B. L. Ruddell, (2010), Information Driven Ecohydrologic Self-Organization, Entropy, 12, 2085-2096, doi: 10.3390/e12102085.
26. Le, P. V. V. V., P. Kumar, and, D. T. Drewry, (2011), Implications for the hydrologic cycle under climate change due to the expansion of bioenergy crops in the Midwestern United States, Proc. of the National Academy of Sciences, 108 (37), 15085-15090, doi: 10.1073/pnas.1107177108.
27. Lall, U., (2014), Debates-The future of hydrologic sciences: A (common) path forward? One water. One world. Many climes. Many souls, Water Resour. Res., 50, 5335-5341, doi: 10.1002/2014WR015402.
28. Mallakpour, I., and, Villarini, G., (2015), The changing nature of flooding across the central United States, Nature, 5 (3), 250-254, doi: 10.1038/nclimate2516.
29. Metlay, D., and, D. Sarewitz, (2012), Decision strategies for addressing complex "messy" problems, Bridge, 42 (3), 6-16.
30. Miller, F., et al., (2010), Resilience and vulnerability: Complementary or conflicting concepts?, Ecol. Soc., 15 (3), 11.
31. Milly, P. C. D., J. Betancourt, M. Falkenmark, R. M. Hirsch, Z. W. Kundzewicz, D. P. Lettenmaier, and, R. J. Stouffer, (2008), Stationarity is dead: Whither water management?, Science, 319 (5863), 573-574, doi: 10.1126/science.1151915.
32. Monari, L., (2002), Power subsidies: A reality check on subsidizing power for irrigation in India, technical report, pp. 1-3, World Bank, Washington, D. C.
33. Montanari, A., et al., (2013), "Panta Rhei-Everything flows", Change in hydrology and society-The IAHS scientific decade 2013-2022, Hydrol. Sci. J., 58 (6), 1256-1275, doi: 10.1080/02626667.2013.809088.
34. NRC (1991), Opportunities in the Hydrologic Sciences, pp. 368, Comm. on Opportunities in the Hydrol. Sci., Water Sci. and Technol. Board, Washington, D. C.
35. NRC (2012), Opportunities in the Hydrologic Sciences, pp. 368, Comm. on Opportunities in the Hydrol. Sci., Water Sci. and Technol. Board, Washington, D. C.
36. NSF (2007), Cyberinfrastructure Vision for 21st Century Discovery, 57 pp.
37. NSF (2009a), Advisory Committee for Geosciences, GeoVision Report, 39 pp.
38. NSF (2009b), Advisory Committee for Environmental Research and Education, Transitions and Tipping Points in Complex Environmental Systems, 57 pp.
39. Otto, M., G. Berndes, and, U. Fritsche, (2011), The bioenergy and water nexus, Biofuels Bioprod. Biorefinig, 5: 343-346, doi: 10.1002/bbb.316.
40. Painter, J., (2015), Taking a bet on risk, Nat. Clim. Change, 5, 286-288, doi: 10.1038/nclimate2542.
41. Peckham, S. D., and, J. L. Goodall, (2013), Driving plug-and-play models with data from web services: A demonstration of interoperability between CSDMS and CUAHSI-HIS, Comput. Geosci., 53, 154-161. doi: 10.1016/j.cageo.2012.04.019.
42. Peters, D. P. C., R. A. Pielke Sr,., B. T. Bestelmeyer, C. D. Allen, S. Munson-McGee, and, K. M. Havstad, (2004), Cross-scale interactions, nonlinearities, and forecasting catastrophic events, PNAS, 101 (42), 15,130-15,135, doi: 10.1073/pnas.0403822101.
43. Plale, B., R. H. McDonald, K. Chandrasekar, I. Kouper, S. Konkiel, M. L. Hedstrom, J. Myers, and, P. Kumar, (2013), SEAD virtual archive: Building a federation of institutional repositories for long-term data preservation in sustainability science, Int. J. Digital Curation, 8 (2), 172-180, doi: 10.2218/ijdc.v8i2.281.
44. Prahalad, C. K., (2004) Fortune at the Bottom of the Pyramid: Eradicating Poverty Rhrough Profits, Prentice Hall, Upper Saddle River, N. J.
45. Ray, D. K., N. Ramankutty, N. D. Mueller, P. C. West, and, J. A. Foley, (2012), Recent patterns of crop yield growth and stagnation, Nat. Commun., 3, 1-7, doi: 10.1038/ncomms2296.
46. Rockstrom, J., and, M. Falkenmark, (2015), Increase water harvesting in Africa, Nature, 519, 283-285, doi: 10.1038/519283a.
47. Rockstrom, J., et al., (2009), A safe operating space for humanity, Nature, 461, 472-475, doi: 10.1038/461472a.
48. Rodell, M., I. Velicogna, and, J. Famiglietti, (2009), Satellite-based estimates of groundwater depletion in India, Nature, 460, 1000-1003, doi: 10.1038/nature08238.
49. Rosenberg, D. M., P. Mccully, and, C. M. Pringl, (2000), Global-scale environmental effects of hydrological alterations: Introduction, BioScience, 50 (9), 746-751, doi: 10.1641/0006-3568(2000)050 [0746:GSEEOH]2.0.CO;2.
50. Ruddell, B. L., and, P. Kumar, (2009a), Ecohydrologic process networks: 1. Identification, Water Resour. Res., 45, W03419, doi: 10.1029/2008WR007279.
51. Ruddell, B. L., and, P. Kumar, (2009b), Ecohydrologic process networks: 2. Analysis and characterization, Water Resour. Res., 45, W03420, doi: 10.1029/2008WR007280.
52. Ruddell, B. L., N. A. Brunsell, and, P. Stoy, (2013), Applying information theory to quantify process uncertainty, feedback, and scale in the Earth system, Eos Trans. AGU, 94 (5), 56-57, doi: 10.1002/2013EO0500007.
53. Runyan, C. W., P. D. Odorico, and, D. Lawrence, (2012), Physical and biological feedbacks of deforestation, Rev. Geophys., 50, RG4006, doi: 10.1029/2012RG000394.
54. Scheffer, M., J. Bascompte, W. A. Brock, V. Brovkin, S. R. Carpenter, V. Dakos, H. Held, E. H. van Nes, M. Rietkerk, and, G. Sugihara, (2009), Early-warning signals for critical transitions, Nature, 461 (7260), 5359, doi: 10.1038/nature08227.
55. Schewe, J., et al., (2014), Multimodel assessment of water scarcity under climate change, PNAS, 111 (9), 3245-3250, doi: 10.1073/pnas.1222460110.
56. Sivapalan, M., S. E. Thompson, C. J. Harman, N. B. Basu, and, P. Kumar, (2011), Water cycle dynamics in a changing environment: Improving predictability through synthesis, Water Resour. Res., 47, W00J01, doi: 10.1029/2011WR011377.
57. Srinivasan, V., and, P. Kumar, (2015), Emergent and divergent resilience behavior in catastrophic shift systems, Ecosyst. Model., 298 (24), 87-105 doi: 10.1016/j.ecolmodel.2013.12.003.
58. Taleb N. N., (2007a), The Black Swan: The Impact of the Highly Improbable, 366 pp., Random House, N. Y.
59. Taleb, N. N., (2007b), Black swan and domains of statistics, The American Statistician, 61 (3), 198-200, doi: 10.1198/000313007X219996.
60. Taylor, R. G., et al., (2013), Ground water and climate change, Nat. Clim. Change, 3 (4), 322-329, doi: 10.1038/nclimate1744.
61. Turner II, B. L., et al., (2003), A framework for vulnerability analysis in sustainability science, PNAS, 100 (14) 8074-8079, doi: 10.1073/pnas.1231335100.
62. Vorosmarty, C. J., P. Green, J. Salisbury, and, R. B. Lammers, (2000), Global water resources: Vulnerability from climate change and population growth, Science, 289 (5477), 284-288, doi: 10.1126/science.289.5477.284.
63. Vorosmarty, C. J., et al., (2010), Global threats to human water security and river biodiversity, Nature, 467, 555-561.
64. Wagener, T., M. Sivapalan, P. A. Troch, B. L. McGlynn, C. J. Harman, H. V. Gupta, P. Kumar, P. S. C. Rao, N. B. Basu, and, J. S. Wilson, (2010), The future of hydrology: An evolving science for a changing world, Water Resour. Res., 46, W05301, doi: 10.1029/2009WR008906.
65. Webster, P. J., (1994), The role of hydrological processes in ocean-atmosphere interactions, Rev. Geophys., 32 (4), 427-476, doi: 10.1029/94RG01873.
66. World Economic Forum (2015), The Global Risks Report 2015, 66 pp., Geneva, Switzerland.
67. Zehe, E., and, M. Sivapalan, (2009), Threshold behaviour in hydrological systems as (human) geo-ecosystems: Manifestations, controls, implications, Hydrol. Earth Syst. Sci., 13 (7), 1273-1297, doi: 10.5194/hess-13-1273-2009.