[1]王高旭,吴 巍,张大伟,等.基于GIS 的石梁河水库洪水预报模型研究[J].江苏水利,2017,(08):56-60.
　WANG Gaoxu,WU Wei,ZHANG Dawei,et al.Flood forecast model of Shilianghe reservoir based on GIS[J].JIANGSU WATER RESOURCES,2017,(08):56-60.
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基于GIS 的石梁河水库洪水预报模型研究()
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《江苏水利》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2017年08期
页码:
56-60
栏目:
信息化与物联网
出版日期:
2017-08-23

文章信息/Info

Title:
Flood forecast model of Shilianghe reservoir based on GIS
文章编号:
1007-7839（2017）08-0056-05
作者:
王高旭1; 2; 吴 巍1; 2; 张大伟3; 王儒波3; 陈必平3; 陈 鸣1; 2
1.南京水利科学研究院，江苏 南京 210029；
2.水文水资源与水利工程科学国家重点实验室，江苏 南京 210029；
3.连云港市石梁河水库管理处，江苏 连云港 222323
Author(s):
WANG Gaoxu1; 2;  WU Wei1; 2; ZHANG Dawei3; WANG Rubo3; CHEN Biping3; CHEN Ming1; 2
1.Nanjing Hydraulic Research Institute，Nanjing 210029，Jiangsu；
2.State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering，Nanjing 210029，Jiangsu；
3.Shilianghe Reservoir Management Department of Lianyungang City，Lianyungang 222323，Jiangsu
关键词:
GIS; 石梁河水库; 洪水预报; 模型
Keywords:
GIS; Shilianghe reservoir; flood forecasting; model
分类号:
TV124
文献标志码:
B
摘要:
石梁河水库处于半湿润的暖温带季风气侯区，暴雨洪水时常发生。水库总库容5.31 亿m3，是江苏省最大的人工水库，承泄新沭河上游和沂河、沭河部分区间来水，担负沂沭泗流域洪水调蓄任务。基于GIS 构建洪水预报模型是将流域分成若干产、汇流单元，可有效描述产、汇流模型结构中降雨、蒸发、流域蓄水容量等水文要素的空间分布及时间变化过程。本文介绍了GIS 洪水预报模型架构，石梁河水库流域及子流域生成、雨量站图层、土壤、土地利用等专题图层生成。阐述了新安江模型部分参数与土壤、植被覆盖、土地利用等图层的关系，并用实测资料进一步调试了石梁河水库洪水预报模型参数，合格率达85.71%。
Abstract:
The Shilianghe reservoir is in the semi-humid warm temperate monsoon climate zone, where often occurs rainstorm and flood.It is the largest artificial reserv oir in Jiangsu Province, whose total reservoir capacity is 531 million m3, which is responsible for the flood storage of Yi-Shu-Si River basin.The flood forecasting model built based on GIS divided the basin into several runoff yield and concentration units, which could effectively describe the spatial distribution and temporal variation of hydrological elements such as rainfall,evaporation and storage capacity in the runoff yield and concentration model.The architecture of GIS flood forecasting model, the formation of thematic layers such as the ShiLiang River reservoir basin and sub-basin,rainfall station, soil, land use were introduced.The relationships between the parameters of Xin'anjiang model and soil, vegetation cover and land use were described.The parameters of flood forecasting model of Shilianghe reservoir were further debugged with the measured data, and the qualified rate was 85.71%.

参考文献/References:

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备注/Memo

备注/Memo:
基金项目：江苏省水利科技项目（2016046）
作者简介：王高旭（1979-），男，博士，高级工程师，研究方向为水利信息化与水资源规划。
更新日期/Last Update: 2017-08-15