Impacts of climate change on precipitation and discharge extremes through the use of statistical downscaling approaches in a Mediterranean basin

被引:55
|
作者
Piras, Monica [1 ,2 ]
Mascaro, Giuseppe [3 ]
Deidda, Roberto [1 ,2 ]
Vivoni, Enrique R. [4 ,5 ]
机构
[1] Univ Cagliari, Dipartimento Ingn Civile Ambientale & Architettur, I-09100 Cagliari, Italy
[2] Consorzio Interuniv Nazl Fis Atmosfere & Idrosfer, Tolentino, Italy
[3] Arizona State Univ, Julie Ann Wrigley Global Inst Sustainabil, Tempe, AZ USA
[4] Arizona State Univ, Sch Sustainable Engn & Built Environm, Tempe, AZ USA
[5] Arizona State Univ, Sch Earth & Space Explorat, Tempe, AZ USA
关键词
Extreme events; Climate change; Mediterranean region; Distributed hydrologic model; Statistical downscaling; FLASH-FLOOD; RAINFALL; FREQUENCY; MODEL; TEMPERATURE; SARDINIA; EVENT;
D O I
10.1016/j.scitotenv.2015.06.088
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Mediterranean region is characterized by high precipitation variability often enhanced by orography, with strong seasonality and-large inter-annual fluctuations, and by high heterogeneity of terrain and land surface properties. As a consequence, catchments in this area are often prone to the occurrence of hydrometeorological extremes, including storms, floods and flash-floods. A number of climate studies focused in the Mediterranean region predict that extreme events will occur with higher intensity and frequency, thus requiring further analyses to assess their effect at the land surface, particularly in small- and medium-sized watersheds. In this study, climate and hydrologic simulations produced within the Climate Induced Changes on the Hydrology of Mediterranean Basins (CLIMB) EU FP7 research project were used to analyze how precipitation extremes propagate into discharge extremes in the Rio Mannu basin (472.5 km(2)), located in Sardinia, Italy. The basin hydrologic response to climate forcings in a reference (1971-2000) and a future (2041-2070) period was simulated through the combined use of a set of global and regional climate models, statiStical downscaling techniques, and a process based distributed hydrologic model. We analyzed and compared the distribution of annual maxima extracted from hourly and daily precipitation and peak discharge time series, simulated by the hydrologic model under climate forcing. For this aim, yearlymaxima were fit by the Generalized Extreme Value (GEV) distribution using a regional approach. Next, we discussed commonality and contrasting behaviors of precipitation and,discharge maxima distributions to better understand how hydrological transformations impact propagation of extremes. Finally, we show how rainfall statistical downscaling algorithms produce more reliable forcings for hydrological models than coarse climate model outputs. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:952 / 964
页数:13
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