YAO Yuefeng, HE Wen, ZENG Danjuan. Assessment of Flood Risk in Lijiang River Watershed[J]. Bulletin of Soiland Water Conservation, 2018, 38(2): 122-126.
DOI:
YAO Yuefeng, HE Wen, ZENG Danjuan. Assessment of Flood Risk in Lijiang River Watershed[J]. Bulletin of Soiland Water Conservation, 2018, 38(2): 122-126. DOI: 10.13961/j.cnki.stbctb.2018.02.020.
Assessment of Flood Risk in Lijiang River Watershed
[Objective] The probability of flood occurrence and its risk distribution in Lijiang River watershed were mapped to provide some references for regional flood risk assessment from the aspects of watershed eco-hydrological function.[Methods] The maximum and minimum water holding capacities in surface soil(0-10 cm) and annual rainfall were analyzed using geostatistics and spatial overlay analysis.[Results] The surface soil drain ability(difference between maximum and minimum water holding capacity) and annual rainfall displayed a strong spatial autocorrelation(spatial autocorrelation coefficient > 0.88). But the spatial autocorrelation of surface soil drain ability was controlled by random factors rather than by autocorrelation factors
which resulted to its lower spatial structure in comparison with the one of annual rainfall. The tri-junction area of Guilin urban area
New Lingui District and Lingchuan County has the highest risk of flooding; whereas three nature conservation areas
namely Maoershan National Nature Reserve
Haiyangshan and Qingshitan Water Conservation areas have the lowest risk of flooding.[Conclusion] Considering both the eco-hydrological function of watershed and climate change(mainly referred to rainfall) in this study
we can predict the probability of flood occurrence and map the flood risk distribution in Lijiang River watershed. The junction are of Guilin urban area and Lingchuan County is the flood-prone region. This study hopes to provide a scientific knowledge for regional flood disaster prediction and evaluation
also for prevention and mitigation of flood disaster.
Kellens W, Terpstra T, De Maeyer P. Perception and communication of flood risks:A systematic review of empirical research[J]. Risk Analysis, 2013,33(1):24-49.
Yan Hongxiang, Moradkhani H. Toward more robust extreme flood prediction by Bayesian hierarchical and multimodeling[J]. Natural Hazards, 2016,81(1):203-225.
Schumann G J P, Andreadis K M. A method to assess localized impact of better floodplain topography on flood risk prediction[J]. Advances in Meteorology, 2016, DOI:10.1155/2016/6408319.
Arnell N W, Gosling S N. The impacts of climate change on river flood risk at the global scale[J]. Climatic Change, 2016,134(3):387-401.
Zhou Qianqian, Leng Guoyong, Feng Leyang. Predictability of state-level flood damage in the conterminous United States:The role of hazard, exposure and vulnerability[J]. Scientific Reports, 2017,7:DOI:10.1038/s41598-017-05773-4.
Lin Shyi-duan, Wood E F, Troch P A, et al. Comparisons of remotely sensed and model-simulated soil moisture over a heterogeneous watershed[J]. Remote Sensing of Environment, 1994,48(2):159-171.
Korres W, Reichenau T G, Fiener P, et al. Spatio-temporal soil moisture patterns:A meta-analysis using plot to catchment scale data[J]. Journal of Hydrology, 2015, 520:https://doi.org/10.1016/j.jhydrol.2014.11.042.
汤国安,杨昕. ArcGIS地理信息系统空间分析试验教程[M].北京:科学出版社,2006.
Cambardella C A, Moorman T B, Parkin T B, et al. Fieldscale variability of soil properties in central Iowa soils[J]. Soil Science Society of America Journal, 1994,58(5):1501-1511.
Gilroy K L, McCuen R H. A nonstationary flood frequency analysis method to adjust for future climate change and urbanization[J]. Journal of Hydrology, 2012,414/415(2):40-48.
Du S, Van Rompaey A, Shi P, et al. A dual effect of urban expansion on flood risk in the Pearl River Delta(China) revealed by land-use scenarios and direct runoff simulation[J]. Natural Hazards, 2015,77(1):111-128.
Peng Lingling, Li Yi, Feng Hao. The best alternative for estimating reference crop evapotranspiratin in different sub-regions of mainland China[J]. Scientific Reports, 2017,7:DOI:10.1038/s41598-017-05660-y.
Sheridan J, Lowrance R, Bosch D. Management effects on runoff and sediment transport in riparian forest buffers[J]. American Society of Agricultural Engineers, 1999,42(1):55-64.
Matteo M, Randhir T, Bloniarz D. Watershed-scale impacts of forest buffers on water quality and runoff in urbanizing environment[J]. Journal of Water Resources Planning and Management, 2006,132(3):144-152.
Blöschl G, Ardoin-Bardin S, Bonell M, et al. At what scales do climate variability and land cover change impact on flooding and low flows?[J]. Hydrological Processes, 2007,21(9):1241-1247.
Shuster W, Bonta J, Thurston H, et al. Impacts of impervious surface on watershed hydrology:A review[J]. Urban Water Journal, 2005,2(4):263-275.
Effects of land use and climate change on water-related ecosystem services in Hebei Province
Impacts of climate, land use and ecological governance on water ecosystem services in Haihe River basin
Characteristics and attribution analysis of runoff-sediment variations in Shule River basin
Runoff evolution characteristics and its attribution analysis of Huangshui River
Impaction of Climate Change and Human Activities to Land Desertification in Jieba Mountain Over Last 50 Years
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