引用本文: | 黄泽群,廖春花,陈玉贵,等.新水文地理数据集的研究与应用——以洞庭湖水系为例[J].灌溉排水学报,0,():-. |
| huangzequn,liaochunhua,chenyugui,et al.新水文地理数据集的研究与应用——以洞庭湖水系为例[J].灌溉排水学报,0,():-. |
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摘要: |
【目的】为了降低水文地理数据对水文模型中径流模拟的影响。【方法】本文以90m分辨率的MERIT DEM为基础,生成了一套洞庭湖水系范围内的水文地理数据集(流向,汇流累积量,河网,流域面积,河长和流域分区)。【结果】与HydroSHEDS数据集相比,新生成的MERIT河网数据集在流域面积上与之差别不大,但在DEM高程、流向分布、河网结构和河长的计算方面,两套数据集(MERIT和HydroSHEDS)却存在着较大的差异。水文模型的结果显示MERIT数据集的日纳什系数和月纳什系数分别为0.41和0.52,均好于HydroSHEDS。【结论】MERIT提取的河网能够更加真实的反应研究区域的河道位置,保证了其他水文汇流参数(如河流长度、流域分区等)的计算,降低了水文模拟中的参数不确定性。该成果已应用在湖南省流域面雨量预报系统和水旱灾害防御气象服务平台,有望供国内外的相关学者使用。 |
关键词: 数字高程模型;流向;河网;流域划分;水文气象服务 |
DOI: |
分类号:P333 |
基金项目:湖南省气象局重点专项(CXFZ2023-ZDZX06);湖南省气象局第三期业务能力建设项目(NLJS09) |
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Research and Application of A New Hydrographic Datasets: A Case Study in Dongting River Basin |
huangzequn1, liaochunhua1, chenyugui1, zhaoenrong2, chenweitian3, luohongmei1, xieruiheng1
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1.Hunan Meteorological Service Center;2.Hunan Meteorological Observatory;3.School of Atmospheric Science, Sun Yat-sen University
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Abstract: |
Abstract:【Objective】The high-resolution hydrographic datasets have significantly influence on hydrological simulation, such as runoff in flood inundation modeling.【Method】In this study, we derived a new raster hydrography map (flow direction, flow accumulation, drainage area and flow distance etc.) in Dongting river basin from MERIT DEM data (~90m) which is a latest released digital elevation model.【Result】The new hydrographic databases show some big difference in terms of DEM, flow direction, river network structure and river length compared to the traditional databases (HydroSHEDS). The results of the hydrological model show that the daily and monthly Nash coefficients of the MERIT datasets are 0.41 and 0.52, respectively, which are better than HydroSHEDS.【Conclusion】The MERIT can more realistically reflect the location of the river in the study area and provide for many applications to reduce uncertainties. The new hydrography map has been applied to the surface rainfall forecast system and flood and drought disaster prevention platform, which will be available for academic research and education purpose. |
Key words: DEM; flow direction; river network; drainage area; hydrometeorological services |