Mountain geoecology and sustainable development of the Tibetan Plateau
In: The GeoJournal library 57
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In: The GeoJournal library 57
In: Natural hazards and earth system sciences: NHESS, Band 22, Heft 5, S. 1577-1590
ISSN: 1684-9981
Abstract. Based on future scenario data and an improved
quantitative natural-disaster risk assessment model, in this study, we
analysed the response of the characteristics of flood events in China to 1.5 and 2 ∘C of global warming, quantitatively
assessed the population affected and the economic risks of floods, and
determined the integrated risk levels. The results indicate that, for the RCP4.5 (Representative
Concentration Pathway) and RCP8.5 scenarios, the probability and distribution area of the floods
increase with increasing temperature and the influence range of the floods
of different levels expands more rapidly under the RCP4.5 scenario. The floods
mainly affect the social economy in the regions with lower altitudes and
smaller slopes in eastern China. As the increase in temperature intensifies,
the population affected and the direct economic losses are aggravated. For
2 ∘C of global warming, under the RCP8.5 scenario, the population
affected by floods increases by 2 million, and the economic risk nearly
doubles compared with 1.5 ∘C of global warming. The economic risk
under the RCP4.5 scenario even reaches 3 times that for 1.5 ∘C of
global warming, but its proportion to the gross domestic product (GDP) is
lower than that under the RCP8.5 scenario. Under both scenarios, the ranges of
the zones of medium–high flood risk gradually expand westward and northward.
In: Computers and electronics in agriculture: COMPAG online ; an international journal, Band 218, S. 108688
In: Chinese journal of population, resources and environment, Band 10, Heft 1, S. 19-26
ISSN: 2325-4262
In: Chinese journal of population, resources and environment, Band 8, Heft 1, S. 18-27
ISSN: 2325-4262
In: Environmental management: an international journal for decision makers, scientists, and environmental auditors, Band 36, Heft 4, S. 576-591
ISSN: 1432-1009
In: Chinese journal of population, resources and environment, Band 8, Heft 3, S. 83-88
ISSN: 2325-4262
In: Chinese journal of population, resources and environment, Band 12, Heft 2, S. 95-102
ISSN: 2325-4262