检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:胡春宏[1] 张晓明[1] 于坤霞[2] 徐梦珍[3] 赵阳[1] HU Chunhong;ZHANG Xiaoming;YU Kunxia;XU Mengzhen;ZHAO Yang(China Institute of Water Resources and Hydropower Research,State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin,Beijing 100038,China;State Key Laboratory Base of Eco-Hydraulic Engineering in Arid Area,Xi’an University of Technology,Xi’an 710048,China;State Key Laboratory of Hydroscience and Engineering,Tsinghua University,Beijing 100084,China)
机构地区:[1]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,北京100048 [2]西安理工大学,省部共建西北旱区生态水利国家重点实验室,陕西西安710048 [3]清华大学,水沙科学与水利水电工程国家重点实验室,北京100084
出 处:《水利学报》2023年第7期763-774,共12页Journal of Hydraulic Engineering
基 金:国家重点研发计划项目(2016YFC0402407);水利部重大科研项目(SKS-2022086);中国水利水电科学研究院基本科研业务费专项项目(SE0145B022022)。
摘 要:黄河水沙变化情势深刻影响着黄河流域水沙调控工程布局、流域内外水资源配置和跨流域调水工程建设等黄河保护与治理开发重大问题的决策。但受研究时段、方法及其边界条件等影响,黄河水沙变化预测成果差异大,难形成共识。本研究基于水沙变化归因和预测结果的不确定性解析,构建了多模型预测成果集合评估技术,预测了黄河流域未来50 a水沙量。结果表明:既有流域水沙变化归因与预测成果差异大,原因在于不同方法因数据输入、变量构成及精度评价方法差异带来的不确定性;提出了基于输入-结构-输出的模型适用性判别准则和评价技术,并基于标准化的数据输入,从数据需求、物理基础、应用效率、输出尺度和预测精度等五个维度,集合评价了现有水沙变化预测模型的适用性;构建了流域水沙变化多模型集合评价-多结果加权融合-BMA集合预测的集合评估技术,根据9类模型预测成果,集合预测了黄河流域未来50 a年径流量为240亿m^(3),年均输沙量为2.5亿t。The variation of runoff and sediment in the Yellow River profoundly affects the decision-making of major issues in the Yellow River protection and development,such as the layout of runoff and sediment regulation projects,the allocation of water resources inside and outside the basin,and the construction of cross-basin water transfer projects.However,the attribution analysis and prediction results of runoff and sediment variation in the Yellow River vary greatly from research to research,since they are affected by many factors such as research period,datum period,and research methods.After analyzing the results of runoff and sediment change attribution and prediction,this study constructs a multi-index and systematic model accuracy evaluation system and proposes a technical framework of ensemble assessment to predict runoff and sediment changes in the Yellow River in the next 50 years based on the 9 types of model prediction results set.The results show that the large difference in the attribution analysis results of runoff and sediment change in the typical Yellow River basin is caused by different data requirements,constituent variables,and the simulation accuracy of the evaluation methods.Thus,the multi-index and systematic model accuracy evaluation system includes the input-structure-output assessment.The applicability of the existing runoff and sediment change prediction models is evaluated from five aspects including data requirements,physical basis,application efficiency,output scale,and prediction accuracy based on the standardized data input.The technical framework of ensemble assessment is finally constructed based on multi model applicability evaluation-multi scenario set-results ensemble prediction,and the average runoff and sediment amount at Tongguan Station of the Yellow River are predicted to be about 24 billion and 300 million tons per year respectively in the next 50 years based on ensemble assessment of 9 types of models.
关 键 词:黄河水沙变化 归因分析 不确定性 水沙模型 集合评估
分 类 号:TV143[水利工程—水力学及河流动力学]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:3.135.194.164