大数据在德州市水资源优化配置中的应用

Application of Big Data in Optimal Allocation of Water Resources in Dezhou

摘要:

大数据在数字孪生水网平台建设中可有效提高当地水资源配置水平。文章重点阐述德州市数字孪生水网平台通过产汇流、水头传播计算、水库充库等模型的耦合应用,实现洪水到达时间提前预判,闸坝启闭精准调度,解决引黄与行洪这一冲突问题。以2024年6月马颊河上游行洪为例,阐述了数字孪生水网平台提前生成调度方案,成功避免洪水与引黄水汇流,有效提升了德州市水资源配置能力。

Abstract:

Big data can effectively improve local water resources allocation capacity in the construction of the digital twin water grid platform. This paper elaborates that through the coupled application of models including runoff generation and concentration, water head propagation calculation and reservoir filling simulation, the digital twin water grid platform in Dezhou Municipality can realize early prediction of flood arrival time and precise regulation of sluice and dam operation, and resolve the conflict between Yellow River water diversion and flood routing. Taking the flood routing in the upper reaches of the Majia River in June 2024 as an example, the paper illustrates that the digital twin water grid platform generated regulation schemes in advance, successfully avoided the confluence of floodwater and diverted Yellow River water, and effectively improved the water resources allocation capacity of Dezhou Municipality.