Human-impacted waters: New perspectives from global high-resolution monitoring

Water Resources Research

Volumn 51, Issue 9, 2015, Pages 7064-7079

  Ceola, Serena ^a   Laio, Francesco ^b   Montanari, Alberto ^a  

^a UNIVERSITY OF BOLOGNA   (Italy)

^b POLITECNICO DI TORINO   (Italy)

Author keywords

human proximity; nightlights; river network

Indexed keywords

SATELLITE IMAGERY; TRACKING (POSITION); WATER RESOURCES;

ENVIRONMENTAL CHANGE; FREQUENCY DISTRIBUTIONS; HIGH SPATIAL RESOLUTION; HIGH-RESOLUTION MONITORING; HUMAN PROXIMITY; NIGHTLIGHTS; REMOTELY SENSED DATA; RIVER NETWORK;

RIVERS;

ANTHROPOGENIC EFFECT; ENVIRONMENTAL CHANGE; ENVIRONMENTAL MONITORING; REMOTE SENSING; RIVER WATER; SATELLITE IMAGERY; SPATIAL RESOLUTION; SPATIOTEMPORAL ANALYSIS; STREAMWATER; WATER RESOURCE; WATER TECHNOLOGY;

EID: 84944357744     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/2015WR017482     Document Type: Article

References (45)

1. Alfieri, L., P. Burek, E. Dutra, B. Krzeminski, D. Muraro, J. Thielen, and, F. Pappenberger, (2013), GloFAS-Global ensemble streamflow forecasting and flood early warning, Hydrol. Earth Syst. Sci., 17 (3), 1161-1175, doi: 10.5194/hess-17-1161-2013.
2. Barnett, T., et al., (2008), Human-induced changes in the hydrology of the western united states, Science, 319 (5866), 1080-1083, doi: 10.1126/science.1152538.
3. Becker, A., and, U. Grunewald, (2003), Disaster management-Flood risk in central Europe, Science, 300 (5622), 1099, doi: 10.1126/science.1083624.
4. Bennie, J., T. Davies, J. Duffy, R. Inger, and, K. Gaston, (2014), Contrasting trends in light pollution across Europe based on satellite observed night time lights, Sci. Rep., 4, 3789, doi: 10.1038/srep03789.
5. Berghuijs, W., R. Woods, and, M. Hrachowitz, (2014), A precipitation shift from snow towards rain leads to a decrease in streamflow, Nat. Clim. Change, 4 (7), 583-586, doi: 10.1038/nclimate2246.
6. Carr, J., P. D'Odorico, F. Laio, and, L. Ridolfi, (2012), On the temporal variability of the virtual water network, Geophys. Res. Lett., 39, L06404, doi: 10.1029/2012GL051247.
7. Ceola, S., I. Hoedl, M. Adlboller, G. Singer, E. Bertuzzo, L. Mari, G. Botter, J. Waringer, T. Battin, and, A. Rinaldo, (2013), Hydrologic variability affects invertebrate grazing on phototrophic biofilms in stream microcosms, PLoS ONE, 8 (4), e60629, doi: 10.1371/journal.pone.0060629.
8. Ceola, S., F. Laio, and, A. Montanari, (2014), Satellite nighttime lights revealing increased human exposure to floods worldwide, Geophys. Res. Lett., 41, 7184-7190, doi: 10.1002/2014GL061859.
9. Chand, T., K. Badarinath, C. Elvidge, and, B. Tuttle, (2009), Spatial characterization of electrical power consumption patterns over India using temporal DMSP-OLS night-time satellite data, Int. J. Remote Sens., 30 (3), 647-661, doi: 10.1080/01431160802345685.
10. Chen, X., and, W. Nordhaus, (2011), Using luminosity data as a proxy for economic statistics, Proc. Natl. Acad. Sci. U. S. A., 108 (21), 8589-8594, doi: 10.1073/pnas.1017031108.
11. Crutzen, P., (2002), Geology of mankind, Nature, 415 (6867), 23, doi: 10.1038/415023a.
12. Devineni, N., U. Lall, E. Etienne, D. Shi, and, C. Xi, (2015), America's water risk: Current demand and climate variability, Geophys. Res. Lett., 42, 2285-2293, doi: 10.1002/2015GL063487.
13. Di Baldassarre, G., A. Viglione, G. Carr, L. Kuil, J. Salinas, and, G. Bloeschl, (2013), Socio-hydrology: Conceptualising human-flood interactions, Hydrol. Earth Syst. Sci., 17 (8), 3295-3303, doi: 10.5194/hess-17-3295-2013.
14. Di Baldassarre, G., A. Viglione, G. Carr, L. Kuil, K. Yan, L. Brandimarte, and, G. Bloeschl, (2015), Debates: Perspectives on sociohydrology: Capturing feedbacks between physical and social processes, Water Resour. Res., 51, 4770-4781, doi: 10.1002/2014WR016416.
15. Elvidge, C., K. Baugh, E. Kihn, H. Kroehl, and, E. Davis, (1997), Mapping city lights with nighttime data from the DMSP operational linescan system, Photogramm. Eng. Remote Sens., 63 (6), 727-734.
16. Elvidge, C., P. Sutton, T. Ghosh, B. Tuttle, K. Baugh, B. Bhaduri, and, E. Bright, (2009), A global poverty map derived from satellite data, Comput. Geosci., 35 (8), 1652-1660, doi: 10.1016/j.cageo.2009.01.009.
17. Erisman, J., G. Brasseur, P. Ciais, N. van Eekeren, and, T. Theis, (2015), Global change: Put people at the centre of global risk management, Nature, 519, 151-153, doi: 10.1038/519151a.
18. Gleeson, T., Y. Wada, M. Bierkens, and, L. van Beek, (2012), Water balance of global aquifers revealed by groundwater footprint, Nature, 488 (7410), 197-200, doi: 10.1038/nature11295.
19. Gong, L., S. Halldin, and, C. Xu, (2011), Global-scale river routing-an efficient time-delay algorithm based on HydroSHEDS high-resolution hydrography, Hydrol. Processes, 25 (7), 1114-1128, doi: 10.1002/hyp.7795.
20. Haddeland, I., et al., (2014), Global water resources affected by human interventions and climate change, Proc. Natl. Acad. Sci. U. S. A., 111 (9), 3251-3256, doi: 10.1073/pnas.1222475110.
21. Hirabayashi, Y., R. Mahendran, S. Koirala, L. Konoshima, D. Yamazaki, S. Watanabe, H. Kim, and, S. Kanae, (2013), Global flood risk under climate change, Nat. Clim. Change, 3 (9), 816-821, doi: 10.1038/nclimate1911.
22. Hoekstra, A., and, M. Mekonnen, (2012), The water footprint of humanity, Proc. Natl. Acad. Sci. U. S. A., 109 (9), 3232-3237, doi: 10.1073/pnas.1109936109.
23. IPCC (2013), Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge Univ. Press, Cambridge, U. K.
24. Jaramillo, F., and, G. Destouni, (2014), Developing water change spectra and distinguishing change drivers worldwide, Geophys. Res. Lett., 41, 8377-8386, doi: 10.1002/2014GL061848.
25. Jongman, B., P. Ward, and, J. Aerts, (2012), Global exposure to river and coastal flooding: Long term trends and changes, Global Environ. Change, 22 (4), 823-835, doi: 10.1016/j.gloenvcha.2012.07.004.
26. Kummu, M., H. de Moel, P. Ward, and, O. Varis, (2011), How close do we live to water? A global analysis of population distance to freshwater bodies, PLoS ONE, 6 (6), e20578, doi: 10.1371/journal.pone.0020578.
27. Kundzewicz, Z., et al., (2014), Flood risk and climate change: Global and regional perspectives, Hydrol. Sci. J., 59 (1), 1-28, doi: 10.1080/02626667.2013.857411.
28. Lehner, B., K. Verdin, and, A. Jarvis, (2006), HydroSHEDS technical documentation, technical report, World Wildlife Fund U.S., Washington, D. C. [Available at http://hydrosheds.cr.usgs.gov.]
29. Lehner, B., K. Verdin, and, A. Jarvis, (2008), New global hydrography derived from spaceborne elevation data, Eos Tran. AGU, 89 (10), 93-94, doi: 10.1029/2008EO100001.
30. Li, X., and, D. Li, (2014), Can night-time light images play a role in evaluating the Syrian Crisis?, Int. J. Remote Sens., 35 (18), 6648-6661, doi: 10.1080/01431161.2014.971469.
31. 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.
32. Poff, N., J. Allan, M. Bain, J. Karr, K. Prestegaard, B. Richter, R. Sparks, and, J. Stromberg, (1997), The natural flow regime, Bioscience, 47 (11), 769-784, doi: 10.2307/1313099.
33. Reager, J., B. Thomas, and, J. Famiglietti, (2014), River basin flood potential inferred using GRACE gravity observations at several months lead time, Nat. Geosci., 7 (8), 589-593, doi: 10.1038/NGEO2203.
34. Richey, A., B. Thomas, M. Lo, J. Famiglietti, S. Swenson, and, M. Rodell, (2015), Uncertainty in global groundwater storage estimates in a total groundwater stress framework, Water Resour. Res., doi: 10.1002/2015WR017351, in press.
35. Rockstrom, J., et al., (2014), The unfolding water drama in the Anthropocene: Towards a resilience-based perspective on water for global sustainability, Ecohydrology, 7 (5), 1249-1261, doi: 10.1002/eco.1562.
36. Rogers, J., (Ed.) (2007), Environmental and Water Resources: Milestones in Engineering History, Am. Soc. of Civil Eng., Va.
37. Sivapalan, M., H. Savenije, and, G. Bloeschl, (2012), Socio-hydrology: A new science of people and water, Hydrol. Processes, 26 (8), 1270-1276, doi: 10.1002/hyp.8426.
38. Slater, L., M. Singer, and, J. Kirchner, (2015), Hydrologic versus geomorphic drivers of trends in flood hazard, Geophys. Res. Lett., 42, 370-376, doi: 10.1002/2014GL062482.
39. Small, C., (2004), Global population distribution and urban land use in geophysical parameter space, Earth Interact., 8, 1-18.
40. UNISDR (2013), From Shared Risk to Shared Value The Business Case for Disaster Risk Reduction. Global Assessment Report on Disaster Risk Reduction, U. N. Off. for Disaster Risk Reduct., Geneva, Switzerland.
41. Vorosmarty, C., P. Green, J. Salisbury, and, R. Lammers, (2000), Global water resources: Vulnerability from climate change and population growth, Science, 289 (5477), 284-288, doi: 10.1126/science.289.5477.284.
42. Vorosmarty, C., et al., (2010), Global threats to human water security and river biodiversity, Nature, 467 (7315), 555-561, doi: 10.1038/nature09440.
43. Voss, K., J. Famiglietti, M. Lo, C. de Linage, M. Rodell, and, S. Swenson, (2013), Groundwater depletion in the Middle East from grace with implications for transboundary water management in the Tigris-Euphrates-Western Iran region, Water Resour. Res., 49, 904-914, doi: 10.1002/wrcr.20078.
44. Worldbank (2015), World Bank Open Data. [Available at http://data.worldbank.org/.]
45. Yamazaki, D., S. Kanae, H. Kim, and, T. Oki, (2011), A physically based description of floodplain inundation dynamics in a global river routing model, Water Resour. Res., 47, W04501, doi: 10.1029/2010WR009726.