1. 华中科技大学 水电与数字化工程学院,湖北,武汉,430074
2. 中国水利水电科学研究院 流域水循环模拟与调控国家重点实验室,北京,100038
3. 黄河水利委员会信息中心,河南,郑州,450004
纸质出版:2017
移动端阅览
张静, 杨明祥, 雷晓辉, 等. 基于HEC-HMS的青狮潭水库入库洪水预报研究[J]. 水土保持通报, 2017,37(4):225-229.
ZHANG Jing, YANG Mingxiang, LEI Xiaohui, et al. Flood Forecasting Research in Qingshitan Reservoir Based on HEC-HMS Model[J]. Bulletin of Soiland Water Conservation, 2017, 37(4): 225-229.
张静, 杨明祥, 雷晓辉, 等. 基于HEC-HMS的青狮潭水库入库洪水预报研究[J]. 水土保持通报, 2017,37(4):225-229. DOI: 10.13961/j.cnki.stbctb.2017.04.038.
ZHANG Jing, YANG Mingxiang, LEI Xiaohui, et al. Flood Forecasting Research in Qingshitan Reservoir Based on HEC-HMS Model[J]. Bulletin of Soiland Water Conservation, 2017, 37(4): 225-229. DOI: 10.13961/j.cnki.stbctb.2017.04.038.
[目的]构建青狮潭水库入库洪水预报模型,为实际预报业务提供参考,也可以为桂林市上游地区无资料地区水文气象规律研究提供支撑。[方法]HEC-HMS是一个包含多个产汇流模型的水文模型系统,适用于不同地区的水文问题分析和计算,广泛运用于洪水预报、防灾减灾等方面。利用该模型对桂林市青狮潭水库上游流域进行水文建模,模拟流域发生暴雨时青狮潭水库的入库洪水过程,以此作为研究洪水预报依据。[结果]通过研究发现HEC-HMS模型模拟的结果平均确定性系数达到0.88,洪峰流量和峰现时间误差均达到乙级预报标准。[结论]HEC-HMS模型在青狮潭流域适用性较好,可以用于青狮潭水库入库洪水预报。
[Objective] Constructing a flood forecast model of Qingshitan Reservoir to provide a reference for actual forecasting business
and also to provide support for the study of hydrological and meteorological laws in the area
e.g.
Guilin City
where information in the upper reaches is lacked.[Methods] HEC-HMS(hydrologic engineering center and hydrologic modeling system) is a hydrological model system with multiple production and distribution modules. It is suitable for the analysis and calculation of hydrological problems in different areas. It is widely used in flood forecasting
disaster prevention and mitigation. This model was used in hydrological modeling of the upper reaches of Qingshitan Reservoir in Guilin City
to simulate the flooding process of Qingshitan Reservoir in the event of heavy rainstorm in the watershed as a basis for flood forecasting.[Results] The average deterministic coefficient of HEC-HMS model was found to be 0.88 by the study. The peak flow rate and peak current error all reached Grade B prediction criteria.[Conclusion] The HEC-HMS model is suitable for the Qingshitan basin and can be used for the flood forecasting of the Qingshitan Reservoir.
邓国取.农业巨灾经济影响分析:以我国洪灾为例[J].财经论丛,2008(4):21-26.
吴庆洲.对20世纪中国洪灾的回顾[J].灾害学,2002,17(2):64-71.
CRED. Emergency Events Database(EM-DAT)[EB/OL]. (2016-02-06)[2016-08-25].2016. http://www.emdat.be/database.
国家防汛抗旱总指挥部办公室.2003年全国洪涝灾情[J].中国防汛抗旱,2004(1):55-59.
刘国斌,韩世博.人口集聚与城镇化协调发展研究[J].人口学刊,2016(2):40-48.
李昕,文婧,林坚.土地城镇化及相关问题研究综述[J].地理科学进展,2012,31(8):1042-1049.
石勇,许世远,石纯,等.洪水灾害脆弱性研究进展[J].地理科学进展,2009,28(1):41-46.
冯平,崔广涛,钟昀.城市洪涝灾害直接经济损失的评估与预测[J].水利学报,2001,8(3):64-68.
孙建华,赵思雄,傅慎明,等.2012年7月21日北京特大暴雨的多尺度特征[J].大气科学,2013,27(3):705-718.
周国兵,沈桐立,韩余.重庆"9·4"特大暴雨天气过程数值模拟分析[J].气象科学,2006,26(5):572-577.
Bisht D S, Chatterjee C, Kalakoti S, et al. Modeling urban floods and drainage using SWMM and MIKE URBAN:A case study[J]. Natural Hazards, 2016,84(2):749-776.
Smith B K, Smith J A, Baeck M L, et al. Exploring storage and runoff generation processes for urban flooding through a physically based watershed model[J]. Water Resources Research, 2015,51(3):1552-1569.
Chan N W. Impacts of Disasters and Disaster Risk Management in Malaysia:The Case of Floods[M]. Japan:Resilience and Recovery in Asian Disasters. Springer, 2015:239-265.
Yin Jie, Ye Mingwu, Yin Zhnae, et al. A review of advances in urban flood risk analysis over China[J]. Stochastic Environmental Research and Risk Assessment, 2015,29(3):1063-1070.
杨佩国,靳京,赵东升,等.基于历史暴雨洪涝灾情数据的城市脆弱性定量研究:以北京市为例[J].地理科学,2016,36(5):733-741.
陈静,刘琳.2011年汛期北京城市暴雨特征及其灾害成因初步分析[J].暴雨灾害,2011,30(3):282-287.
马洪波.2010年7月24日白城市暴雨天气特征分析[J].现代农业科技,2015(19):253-253.
刘昌明,张永勇,王中根,等.维护良性水循环的城镇化LID模式:海绵城市规划方法与技术初步探讨[J].自然资源学报,2016,31(5):719-731.
李恒义,孟琳琳.基于海绵城市的北京市巨灾洪水防御体系设计[J].人民黄河,2016,38(7):35-38.
刘忠阳,杜子璇,刘伟昌,等.城市洪灾及城市防洪规划探讨[J].气象与环境科学,2007,30(9):5-8.
朱华桂.论风险社会中的社区抗逆力问题[J].南京大学学报:哲学·人文科学·社会科学版,2012(5):47-53,159.
河南省水利厅.水资源公报[EB/OL].郑州:河南省水利.(1999-02-15)[2017-02-11]. http://www.hnsl.gov.cn/.
Tobin G A. Sustainability and community resilience:The holy grail of hazards planning?[J]. Global Environmental Change(Part B):Environmental Hazards, 1999,1(1):13-25.
Norris F H, Stevens S P, Pfefferbaum B, et al. Community resilience as a metaphor, theory, set of capacities, and strategy for disaster readiness[J]. American Journal of Community Psychology, 2008,41(1/2):127-150.
Ostadtaghizadeh A, Ardalan A, Paton D, et al. Community disaster resilience:A qualitative study on Iranian concepts and indicators[J]. Natural Hazards, 2016,83(3):1843-1861.
Ainuddin S, Routray J K. Earthquake hazards and community resilience in Baluchistan[J]. Natural hazards, 2012,63(2):909-937.
Sherrieb K, Norris F H, Galea S. Measuring capacities for community resilience[J]. Social Indicators Research, 2010,99(2):227-247.
朱华桂.论社区抗逆力的构成要素和指标体系[J].南京大学学报:哲学·人文科学·社会科学,2013(5):68-74,159.
任广平,邹志红,孙靖南.因子分析及其在河网水质综合评价中的应用研究[J].环境污染治理技术与设备,2005,6(4):91-94.
刘德林,刘贤赵.主成分分析在河流水质综合评价中的应用[J].水土保持研究,2006,13(3):124-125,128.
刘德林,梁恒谦.区域自然灾害的社会脆弱性评估:以河南省为例[J].水土保持通报,2014,34(5):128-134.
Liu Delin, Hao Shilong, Liu Xianzhao, et al. Effects of land use classification on landscape metrics based on remote sensing and GIS[J]. Environmental Earth Sciences, 2013,68(8):2229-2237.
朱庆平,周力,李开,等.西昌引种栽培油橄榄果中5种金属元素主成分及聚类分析[J].基因组学与应用生物学,2017,36(1):362-369.
0
浏览量
1423
下载量
1
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621