LIU Haizhi, MA Zhenfeng, FAN Guangzhou. Methods of Determining Rainfall Thresholds of Landslides and Debris Flows in Typical Region in Sichuan Province[J]. Bulletin of Soiland Water Conservation, 2017, 37(4): 126-131.
DOI:
LIU Haizhi, MA Zhenfeng, FAN Guangzhou. Methods of Determining Rainfall Thresholds of Landslides and Debris Flows in Typical Region in Sichuan Province[J]. Bulletin of Soiland Water Conservation, 2017, 37(4): 126-131. DOI: 10.13961/j.cnki.stbctb.2017.04.021.
Methods of Determining Rainfall Thresholds of Landslides and Debris Flows in Typical Region in Sichuan Province
[Objective] We chose the most significant rainfall indicators of landslides and debris flows in typical regions and built a critical threshold model for each sub-region in typical regions to provide a scientific basis for effective prediction of landslide and debris flows.[Methods] This study collected Sichuan's geological disaster cases occurred in 1999-2014
to define the typical regions of landslides and debris flows in Sichuan Province. We compared the threshold models that are made up of different rainfall indicators in each typical region to construct our rainfall threshold models.[Results] Average rainfall intensity and maximum rainfall intensity are used frequently as significant parameters in threshold models of landslides and debris flows in typical regions. Indirect rainfall is a precipitation indicator of landslides in typical region generally
direct rainfall is a precipitation indicator of debris flows just in typical region generally. Effective rainfall was adopted to the precipitation indicator both of landslides and debris flow threshold models in typical regions. Model with double factors were applied to most of typical regions of landslides and debris flows. Model with one factor was just applied to Wenchuan earthquake-stricken area
the critical threshold gradually raised from Wenchuan earthquake.[Conclusion] Different rainfall factor has different effect on disasters
each typical region has its own optimum rainfall threshold model. Model with double factors is more objective than those with just one factor
Berger A R, Hodge R A. Natural change in the environment:A challenge to the pressure-state-response concept[J]. Social Indicators Research, 1998, 44(2):255-265.
Esty D C, Levy M, Srebotnjak T, et al. Environmental Sustainability Index:Benchmarking National Environmental Stewardship[M]. New Haven:Yale Center for Environmental Law & Policy, 2005:47-60.
Hope C, Parker J. Environmental indices for France, Italy and the UK[J]. European Environment, 1995,5(1):13-19.
Kang S M. A sensitivity analysis of the Korean composite environmental index[J].Ecological Economics, 2002,43(2):159-174.
Esty D C, Levy M A, Srebotnjak T, et al. Pilot 2006 Environmental Performance Index[M]. New Haven:Yale Center for Environmental Law & Policy, 2006.
Jong-Tae L. A study of review and development environmental health indicators[C]. Korea:National Institute of Environmental Research; Inchon, 2010.
Heo S, Lee J T. Study of environmental health problems in Korea using integrated environmental health indicators[J]. International Journal of Environmental Research and Public Health, 2013, 10(8):3140-3156.
Wang Xiaodan, Cao Yingzi, Zhong Xianghao, et al. A new method of regional eco-environmental quality assessment and its application[J]. Journal of environmental quality, 2012, 41(5):1393-1401.
Cui Erqian, Ren Lijun, Sun Haoyu. Evaluation of variations and affecting factors of eco-environmental quality during urbanization[J]. Environmental Science and Pollution Research, 2015, 22(5):3958-3968.
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