首页|基于MLR与ARDL的城市湖泊溶解氧浓度模拟

基于MLR与ARDL的城市湖泊溶解氧浓度模拟

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开展城市湖泊溶解氧模拟研究,对促进湖泊水质模拟研究的进展具有重要作用。选取近扬州市中心附近的一个城市湖泊作为研究的特定区域,利用2020年溶解氧、蓝绿藻浓度、水温、电导率、pH观测结果,构建多元线性回归模型和自回归分布滞后模型,对2020年(2020-01-01至2020-12-31)和该年各季度的溶解氧观测序列值进行模拟,结果表明:前者模拟精度相对较低,后者的模拟精度较高,后者对不同时段溶解氧模拟结果的决定系数R2在0。75~0。99;2种模型对湖泊溶解氧的模拟均有较好的适用性,其中,自回归分布滞后模型对时段变化溶解氧序列模拟的适用性更好。
Simulation of Dissolved Oxygen Concentration in an Urban Lake Based on MLR and ARDL
Research on the simulation of dissolved oxygen(DO)in urban lakes is of significance in promoting the development of water quality simulation research for urban lakes.A lake,which is near the central area of Yangzhou City was adopted as the study area.Based on the observed data of DO,blue-green algae concentration,water temperature(WT),electric conductivity(EC),and pH in 2020,a multiple linear regression(MLR)model and an autoregressive distribution lag(ARDL)model were developed.Simulations for the observed sequence values of DO in 2020(from January 1,2020 to December 31,2020)and four quarters of 2020 were carried out.The results indicate that the simulation results of the MLR model exhibit relatively low accuracy,while those of the ARDL model show relatively high accuracy;the coefficient of determination(R2)of the DO simulation results for different periods is 0.75~0.99.Both MLR and ARDL models have applicability for simulating DO in the lake.Specifically,the ARDL model has better applicability for DO sequence simulation with time period changes than MLR.

urban lakedissolved oxygen concentrationmultiple linear regression modelautoregressive distributed lag model

赵洪铖、杨菲、周鹏、郭家诚、黄金柏

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扬州大学水利科学与工程学院,江苏 扬州 225009

江苏省水文水资源勘测局泰州分局,江苏 泰州 225309

城市湖泊 溶解氧浓度 多元线性回归模型 自回归分布滞后模型

2025

人民珠江
水利部珠江水利委员会

人民珠江

影响因子:0.406
ISSN:1001-9235
年,卷(期):2025.46(1)