LAIZe-hui,PENGJin-shuang,BAOShi-tai,et al.Prediction of Urban Drainage Manhole Water Level Using Support Vector Machine Regression[J].China Water & Wastewater,2025,41(13):126-130.
Prediction of Urban Drainage Manhole Water Level Using Support Vector Machine Regression
China Water & Wastewater[ISSN:1000-4062/CN:12-1073/TU]
volume:
第41卷
Number:
第13期
Page:
126-130
Column:
Date of publication:
2025-07-01
- Keywords:
- urban drainage system; water level prediction; support vector machine regression; quality and efficiency improvement
- Abstract:
- A model for predicting urban drainage manhole water level was constructed to monitor the water level status of the urban drainage network in real time and reduce the long-term operational maintenance costs of water level monitoring equipment. This involved collecting short-term monitoring data on manhole water levels and rainfall, analyzing hydrological characteristic factors of water level stations, creating a sample dataset, and optimizing and training a support vector machine regression algorithm. The model was subsequently tested using typical weather data, and the results demonstrated high prediction accuracy. Compared with the long-term installation of manhole water level sensors for continuous monitoring, this approach enabled the prediction of real-time manhole water levels by acquiring short-term water level data. It was characterized by ease of deployment and low operational and maintenance costs, making it highly practical for business applications such as daily quality and efficiency enhancement in urban drainage operations, and emergency dispatching during urban waterlogging events.
Last Update:
2025-07-01