A climate change range-based method for estimating robustness for water resources supply

被引:70
作者
Whateley, Sarah [1 ]
Steinschneider, Scott [1 ]
Brown, Casey [1 ]
机构
[1] Univ Massachusetts, Dept Civil & Environm Engn, Amherst, MA 01003 USA
基金
美国海洋和大气管理局;
关键词
MULTIMODEL ENSEMBLE; UNCERTAINTY; RISK; IMPACTS; PROBABILITY; INFORMATION; ADAPTATION; MANAGEMENT;
D O I
10.1002/2014WR015956
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Many water planning and operation decisions are affected by climate uncertainty. Given concerns about the effects of uncertainty on the outcomes of long-term decisions, many water planners seek adaptation alternatives that are robust given a wide range of possible climate futures. However, there is no standardized paradigm for quantifying robustness in the water sector. This study uses a new framework for assessing the impact of future climate change and uncertainty on water supply systems and defines and demonstrates a new metric for quantifying climate robustness. The metric is based on the range of climate change space over which an alternative provides acceptable performance. The metric is independent of assumptions regarding future climate; however, GCM-based (or other) climate projections can be used to create a "climate-informed'' version of the metric. The method is demonstrated for a water supply system in the northeast United States to evaluate the additional robustness that can be attained through optimal operational changes, by comparing optimal reservoir operations with current reservoir operations. Results show the additional robustness gained through adaptation. They also reveal the additional insight regarding robust adaptation gained from the decision-scaling approach that would not be discerned using a GCM projection-based analysis.
引用
收藏
页码:8944 / 8961
页数:18
相关论文
共 63 条
[31]   Using probabilistic climate change information from a multimodel ensemble for water resources assessment [J].
Manning, L. J. ;
Hall, J. W. ;
Fowler, H. J. ;
Kilsby, C. G. ;
Tebaldi, C. .
WATER RESOURCES RESEARCH, 2009, 45
[32]   Toward improved identification of hydrological models: A diagnostic evaluation of the "abcd" monthly water balance model for the conterminous United States [J].
Martinez, Guillermo F. ;
Gupta, Hoshin V. .
WATER RESOURCES RESEARCH, 2010, 46
[33]   Investigating the impact of climate change on New York City's primary water supply [J].
Matonse, Adao H. ;
Pierson, Donald C. ;
Frei, Allan ;
Zion, Mark S. ;
Anandhi, Aavudai ;
Schneiderman, Elliot ;
Wright, Ben .
CLIMATIC CHANGE, 2013, 116 (3-4) :437-456
[34]   Robust Decision Making and Info-Gap Decision Theory for water resource system planning [J].
Matrosov, Evgenii S. ;
Woods, Ashley M. ;
Harou, Julien J. .
JOURNAL OF HYDROLOGY, 2013, 494 :43-58
[35]  
Maurer EP, 2002, J CLIMATE, V15, P3237, DOI 10.1175/1520-0442(2002)015<3237:ALTHBD>2.0.CO
[36]  
2
[37]   Climate change - Stationarity is dead: Whither water management? [J].
Milly, P. C. D. ;
Betancourt, Julio ;
Falkenmark, Malin ;
Hirsch, Robert M. ;
Kundzewicz, Zbigniew W. ;
Lettenmaier, Dennis P. ;
Stouffer, Ronald J. .
SCIENCE, 2008, 319 (5863) :573-574
[38]   Robustness indicators for evaluation under climate change: Application to the upper Great Lakes [J].
Moody, Paul ;
Brown, Casey .
WATER RESOURCES RESEARCH, 2013, 49 (06) :3576-3588
[39]  
Murphy J, 1999, J CLIMATE, V12, P2256, DOI 10.1175/1520-0442(1999)012<2256:AEOSAD>2.0.CO
[40]  
2