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漓江生态及航运补水水流演进规律精细化解析
聂远雄1, 董吴欣2, 王绍旭1, 胡腾飞3, 唐继彬4, 阳海涛5, 吴树诚6, 黄春玲6
1.桂林市水利电力勘测设计研究院;2.国网江西省电力有限公司电力科学研究院;3.南京水利科学研究院水灾害防御全国重点实验室;4.广西壮族自治区桂林航道养护中心;5.桂林市市属水库管理处;6.广西壮族自治区桂林水文中心
摘要:
为助力桂林市打造世界级旅游城市使命,缓解近年来漓江生态及航运用水与枯水期水资源短缺的矛盾,深度挖掘2017-2021年30场水库群重大补水记录,精细解析了漓江河道补水水流演进规律,以期支撑漓江上游水库群开展高效精准的补水。以漓江上游水库群坝下至桂林水文站河道为研究对象,采用河道分段模拟、数据分时解析的总体思路,基于数据挖掘、函数构造、曲线拟合等方法,优化确定了各河段不同量级水流演进时间表征函数。结果表明:1)鉴于水流演进动力机制差异,通过分析点据分布特征认为上游山区性河道水流演进用时适合采用线性函数表征,区域中下游河段适合采用非线性函数;2)水流演进函数率定精度理想,相对误差基本小于10%、RMSE基本小于1.7 h。本文对漓江补水水流演进规律的精细解析成果,成功用于历史补水任务复盘及新补水计划拟定,可有效提升水库补水效率。
关键词:  漓江,生态补水,旅游航运,水流演进,数据挖掘
DOI:
分类号:TV213????????
基金项目:国家重点研发计划项目(2021YFC3200301),广西重点研发计划(桂科AB22080093),广东省水利科技创新项目(2021-08),国家自然科学(51909168),重庆市交通局科技项目(2020-07)
Detailed Flow Evolution Characteristics of Ecological / Navigational Water Supplementation in Lijiang River
NIE Yuanxiong1, DONG Wuxin2, WANG Shaoxu1, HU Tengfei3, TANG Jibin4, YANG Haitao5, Wu Shucheng6, Huang Chunling5
1.Guilin Water and Power Design Institute;2.Electric Power Research Institute State Grid Jiangxi Electric Power Co,Ltd;3.State Key Laboratory of Hydrolog-Water Resources and Hydraulic Engineering,Nanjing Hydraulic Research Institute;4.Guilin Waterway Maintenance Center;5.Guilin Municipal Reservoir Management Office;6.Guilin Hydrological Center
Abstract:
To mitigate the contradiction between ecological and navigational water uses in Lijiang River and the shortage of water resources during the dry season, a detailed analysis of flow evolution characteristics in Lijiang River channel has been conducted, so as to support efficient and precise water supplementation from upstream reservoir group. Taking the river channel from the upstream reservoirs to the Guilin hydrological station as the research object, the study adopts an approach of segment-by-segment simulation of the river channel and time-phased data analysis. Based on different methods (e.g. data mining, function construction and curve fitting), the study optimizes the characterizing functions of flow evolution time for different flow magnitudes in each river reach. The results show that: 1) Given the differences in flow evolution mechanism of various river reaches, linear functions are appropriate for characterizing flow evolution in the upstream mountainous river channels, while nonlinear functions are recommended for the middle and lower reaches; 2) The functions are calibrated with satisfactory accuracy, and the relative error is generally below 10% and RMSE is typically less than 1.7 h. The analytical results of this study have been successfully applied to the review of a historical water supplementation task and new task planning, demonstrating that the results can effectively improve reservoir water supplementation efficiency.
Key words:  Lijiang River, Ecological Water Supplementation, Tourism Shipping, Water Flow Evolution, Data Mining
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