globalchange  > 气候减缓与适应
DOI: 10.1016/j.jhydrol.2018.11.055
WOS记录号: WOS:000455694400072
论文题名:
Assessing socioeconomic drought based on an improved Multivariate Standardized Reliability and Resilience Index
作者: Guo, Yi1; Huang, Shengzhi1; Huang, Qiang1; Wang, Hao2; Fang, Wei1; Yang, Yuanyuan1; Wang, Lu1
通讯作者: Huang, Shengzhi
刊名: JOURNAL OF HYDROLOGY
ISSN: 0022-1694
EISSN: 1879-2707
出版年: 2019
卷: 568, 页码:904-918
语种: 英语
英文关键词: Socioeconomic drought ; Reservoir system ; Limited outflow process line ; Climate factors ; The upper Yellow River Basin
WOS关键词: YELLOW-RIVER BASIN ; CLIMATE-CHANGE ; HYDROLOGICAL DROUGHTS ; EL-NINO ; WATER ; PRECIPITATION ; VARIABILITY ; CIRCULATION ; PROJECTIONS ; POPULATION
WOS学科分类: Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向: Engineering ; Geology ; Water Resources
英文摘要:

Among the four types of drought, socioeconomic drought, which has a direct impact on human production and daily life, is the least understood. The current socioeconomic drought index proposed by Mehran et al. (2015) is the Multivariate Standardized Reliability and Resilience Index (MSRRI), which combines information on inflowdemand reliability and water storage resilience. The MSRRI resolves the problem of difficult quantification of socioeconomic drought. However, the MSRRI also has some flaws such as ignoring reservoir dispatching regulations and the relationship between water supply and water demand. Therefore, this study aims to improve the MSRRI through combining reservoir operation processes and actual water supply and demand and proposing an improved MSRRI (IMSRRI). The upper Yellow River Basin (UYRB) was selected as a case study, and comparison between the MSRRI and IMSRRI was conducted. The evolution characteristics of the IMSRRI series in the UYRB were examined. Additionally, cross-wavelet analysis was utilized to reveal the associations between the IMSRRI series and climate factors. Results indicated that: (1) compared with the MSRRI, the IMSRRI could capture the onset and termination of socioeconomic drought more accurately and reasonably due to the fusion of reservoir scheduling characteristics at a smaller timescale; (2) the socioeconomic drought in the UYRB had dramatically changed during the past few decades (the IMSRRI series showed a significantly decreasing trend and two change points (1995 and 1975) were captured); and (3) the El Nino Southern Oscillation (ENSO) and the Atlantic Oscillation (AO) showed significant influences on the short period (the influences of ENSO were stronger than AO), while sunspots had the strongest impacts on the long period.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/127125
Appears in Collections:气候减缓与适应

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作者单位: 1.Xian Univ Technol, State Key Lab Ecohydraul Northwest Arid Reg China, Xian 710048, Shaanxi, Peoples R China
2.China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China

Recommended Citation:
Guo, Yi,Huang, Shengzhi,Huang, Qiang,et al. Assessing socioeconomic drought based on an improved Multivariate Standardized Reliability and Resilience Index[J]. JOURNAL OF HYDROLOGY,2019-01-01,568:904-918
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