Large scale spatially explicit modeling of blue and green water dynamics in a temperate mid-latitude basin

被引:48
作者
Du, Liuying [1 ]
Rajib, Adnan [1 ,2 ]
Merwade, Venkatesh [1 ]
机构
[1] Purdue Univ, Lyles Sch Civil Engn, W Lafayette, IN 47907 USA
[2] US EPA, Oak Ridge Inst Sci & Educ, Off Res & Dev, Cincinnati, OH 45268 USA
基金
美国国家科学基金会;
关键词
Climate change; Land use change; Ohio River Basin; SWAT; Hydrologic modeling; LAND-USE CHANGE; CLIMATE-CHANGE; RIVER-BASIN; SWAT MODEL; HYDROLOGICAL RESPONSE; MISSISSIPPI RIVER; SURFACE HUMIDITY; UNITED-STATES; COVER CHANGES; CALIBRATION;
D O I
10.1016/j.jhydrol.2018.02.071
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Looking only at climate change impacts provides partial information about a changing hydrologic regime. Understanding the spatio-temporal nature of change in hydrologic processes, and the explicit contributions from both climate and land use drivers, holds more practical value for water resources management and policy intervention. This study presents a comprehensive assessment on the spatio-temporal trend of Blue Water (BW) and Green Water (GW) in a 490,000 km(2) temperate mid-latitude basin (Ohio River Basin) over the past 80 years (1935-2014), and from thereon, quantifies the combined as well as relative contributions of climate and land use changes. The Soil and Water Assessment Tool (SWAT) is adopted to simulate hydrologic fluxes. Mann-Kendall and Theil-Sen statistical tests are performed on the modeled outputs to detect respectively the trend and magnitude of changes at three different spatial scales the entire basin, regional level, and sub-basin level. Despite the overall volumetric increase of both BW and GW in the entire basin, changes in their annual average values during the period of simulation reveal a distinctive spatial pattern. GW has increased significantly in the upper and lower parts of the basin, which can be related to the prominent land use change in those areas. BW has increased significantly only in the lower part, likely being associated with the notable precipitation change there. Furthermore, the simulation under a time-varying climate but constant land use scenario identifies climate change in the Ohio River Basin to be influential on BW, while the impact is relatively nominal on GW; whereas, land use change increases GW remarkably, but is counterproductive on BW. The approach to quantify combined/relative effects of climate and land use change as shown in this study can be replicated to understand BW-GW dynamics in similar large basins around the globe. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:84 / 102
页数:19
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