Spatial and temporal changes in flooding and the affecting factors in China

Nie, Chengjing; Li, Hairong; Yang, Linsheng; Wu, Shaohong; Liu, Yi; Liao, Yongfeng

doi:10.1007/s11069-011-9926-1

Cited by 32 publications

(18 citation statements)

References 27 publications

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“…Under economic development and population growth, people from villages moved into urban areas (Nie et al, 2012). Increasing urbanization caused an increase in impermeable land use types.…”

Section: Flood Events In China and Japanmentioning

confidence: 99%

Historical assessment of Chinese and Japanese flood management policies and implications for managing future floods

Luo

Takara

et al. 2015

Environmental Science & Policy

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“…Under economic development and population growth, people from villages moved into urban areas (Nie et al, 2012). Increasing urbanization caused an increase in impermeable land use types.…”

Section: Flood Events In China and Japanmentioning

confidence: 99%

Historical assessment of Chinese and Japanese flood management policies and implications for managing future floods

Luo

Takara

et al. 2015

Environmental Science & Policy

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“…Specifically, floods, as one of the most frequent and costly natural disasters, have posed a serious threat to the human life and economic development [1][2][3]. A report issued by UNISDR (2015) highlights the fact that, between 1995 and 2015, floods affected 2.3 billion people, worldwide, accounting for 56% of the people affected by weather-related disasters [4,5].…”

Section: Introductionmentioning

confidence: 99%

Maximum Entropy-Copula Method for Hydrological Risk Analysis under Uncertainty: A Case Study on the Loess Plateau, China

Guo

Chang

Wang

et al. 2017

Entropy

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Copula functions have been extensively used to describe the joint behaviors of extreme hydrological events and to analyze hydrological risk. Advanced marginal distribution inference, for example, the maximum entropy theory, is particularly beneficial for improving the performance of the copulas. The goal of this paper, therefore, is twofold; first, to develop a coupled maximum entropy-copula method for hydrological risk analysis through deriving the bivariate return periods, risk, reliability and bivariate design events; and second, to reveal the impact of marginal distribution selection uncertainty and sampling uncertainty on bivariate design event identification. Particularly, the uncertainties involved in the second goal have not yet received significant consideration. The designed framework for hydrological risk analysis related to flood and extreme precipitation events is exemplarily applied in two catchments of the Loess plateau, China. Results show that (1) distribution derived by the maximum entropy principle outperforms the conventional distributions for the probabilistic modeling of flood and extreme precipitation events; (2) the bivariate return periods, risk, reliability and bivariate design events are able to be derived using the coupled entropy-copula method; (3) uncertainty analysis highlights the fact that appropriate performance of marginal distribution is closely related to bivariate design event identification. Most importantly, sampling uncertainty causes the confidence regions of bivariate design events with return periods of 30 years to be very large, overlapping with the values of flood and extreme precipitation, which have return periods of 10 and 50 years, respectively. The large confidence regions of bivariate design events greatly challenge its application in practical engineering design.

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“…Flood and drought are the most common natural disasters recorded in the world, which have caused severe economic losses (accounted for 40% and 15% of global losses caused by natural disasters, respectively), with huge damage to the environment and the agricultural economy, and have threatened the life of people [1][2][3][4]. During the last few decades, severe flood or/and drought disasters have occurred frequently the world over.…”

Section: Introductionmentioning

confidence: 99%

“…To further monitor floods and drought occurrence, it is worthwhile to investigate the variation of local dry/wet conditions [23], which has become an important prerequisite of flood/drought disaster prevention and mitigation [4]. There are many researches that have dealt with the spatiotemporal variability and long-term trends of dry and wet condition.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Characteristics of Dry-Wet Abrupt Transition Based on Precipitation in Poyang Lake Basin, China

2015

Water

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Abstract:The dry-wet abrupt transition (DWAT) is a typical anomaly of precipitation at the subseasonal scale and may result in a severer and greater hydro-meteorological hazard. This paper identified and examined the DWAT events in terms of precipitation in Poyang Lake basin, including both from dry to wet (DTW) and from wet to dry (WTD), during the period of 1960-2010 and analyzed its characteristics of temporal and spatial distribution and intra-and inter-annual tendencies based on the Mann-Kendall (M-K) test. The results revealed that the DTW was inclined to occur in March, but WTD in July and September; the inter-annual variation of the DWAT index showed a feeble long-term increasing trend in July and a decreasing trend in September with a Z-statistic of 1.81 and −1.44, respectively, although none of these trends achieved the statistical significance level (α = 0.05); the north parts of Poyang Lake basin experienced more DWAT events during the last 50 years in which the occurrence of WTD is more frequent than that of DTW. The outcomes of the study will help mitigate and regulate the flood and drought in Poyang Lake basin, as well as in other regions.

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Spatial and temporal changes in flooding and the affecting factors in China

Cited by 32 publications

References 27 publications

Historical assessment of Chinese and Japanese flood management policies and implications for managing future floods

Historical assessment of Chinese and Japanese flood management policies and implications for managing future floods

Maximum Entropy-Copula Method for Hydrological Risk Analysis under Uncertainty: A Case Study on the Loess Plateau, China

Spatiotemporal Characteristics of Dry-Wet Abrupt Transition Based on Precipitation in Poyang Lake Basin, China

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