基于Logistic回归模型在黄河调水调沙的应用

Application of Logistic Regression Model to Water and Sediment Transfer in Yellow River

对于黄河该水文站的含沙量与时间、水位、水流量的关系进行了综合评测,并估算了近6年该水文站的年总水流量和年总排沙量.主要采用SPSS和MATLAB等工具进行数据处理,经Logistic模型回归分析得到,每年需检测12次且每次检测时间为每月中旬,若不进行调水调沙,则黄河10年以后河底高程会出现6倍的增长量.

In this paper,the relationship between the sediment content and time,water level and water discharge of this hydrological station in the Yellow River is evaluated comprehensively,and the annual total water discharge and annual total sediment discharge of this hydrological station in recent 6 years are estimated.In this paper,SPSS,MATLAB and other tools are mainly used for data processing,and Logistic model regression analysis shows that 12 tests are needed every year and each test takes place in the middle of each month.If no water and sand regulation is carried out,the bottom elevation of the Yellow River will increase by 6 times after 10 years.