Integrated index for drought assessment based on variable fuzzy set theory: A case study in the Yellow River basin, China
文献类型：SCI/SSCI论文
| 作者 | Huang S. Z.; Chang, J. X.; Leng, G. Y.; Huang, Q. |
| 发表日期 | 2015 |
| 关键词 | Integrated drought index Variable fuzzy set theory Entropy weight method Qualitative change point The Yellow River basin standardized precipitation index severity index soil-moisture hydrological droughts model water copulas impacts periods dataset |
| 英文摘要 | It is of great importance to construct an integrated drought indicator, which is of great importance to drought risk assessment and decision-making. Given the fuzzy nature of drought, the variable fuzzy set theory was applied to develop an Integrated Drought Index (IDI) combining meteorological, hydrological, and agricultural factors across the Yellow River basin in North China. The runoff and soil moisture were derived by driving the calibrated Variable Infiltration Capacity (VIC) model with observed atmospheric forcing. Furthermore, the law of mutual change of quality and quantity was adopted to identify qualitative change points of annual IDI series in the Yellow River basin. The results indicate that: (1) the Integrated Drought Index (IDI) has a better performance compared with Standardized Precipitation Index (SPI) and Standardized streamflow Index (SSFI), and it is more sensitive and effective to capture drought onset and persistence, largely owing to its combination with the information of different drought-related variables; (2) spatially, the middle reaches has a higher drought risk than the rest portions of the Yellow River basin; seasonally, drought risk in spring and winter is larger than other seasons; overall, the IDI of the basin is dominated by an insignificantly downward trend; (3) some qualitative change points of drought were identified in the Yellow River basin, and those are primarily induced by ENSO events and the construction of dams and reservoirs. This study proposed an alternative drought indicator coupled with multivariate drought-related variables by objectively determining their weights based on the entropy weight method, which has a great value in characterizing drought. (C) 2015 Elsevier B.V. All rights reserved. |
| 出处 | Journal of Hydrology |
| 卷 | 527 |
| 页 | 608-618 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 0022-1694 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/38657]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Huang S. Z.,Chang, J. X.,Leng, G. Y.,et al. Integrated index for drought assessment based on variable fuzzy set theory: A case study in the Yellow River basin, China. 2015. |
入库方式： OAI收割
来源：地理科学与资源研究所
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