灌溉排水学报2025，Vol.44Issue(1)：1-7,7.DOI:10.13522/j.cnki.ggps.2024155
河道外需水量影响因素及预测方法综述
A review of the determinants and prediction methods for off-channel water demand
摘要
Abstract
Off-channel water demand and consumption are critical components of water resource management,influenced by various natural and anthropogenic factors.This study systematically analysed these influencing factors and the methods for predicting off-channel water demand,aiming to provide insights for effective water resource planning and management at the catchment level.The research employed Cite Space for bibliometric analysis to identify current research trends,key hotspots,and systematically categorised the factors that influence the off-channel water demand,as well as the methods used for its prediction.Key factors affecting off-channel water demand in most catchments include population,water pricing,precipitation,and air temperature.Machine learning algorithms have emerged as a prominent tool for predicting off-channel water demand,often used alongside regression analysis to assess the influence of multiple factors.The quota index method remains widely applied in practical water resource management.Additionally,hybrid approaches,combining time series analysis with other methods,address limitations in standalone models and enhance prediction accuracy.Advances in remote sensing,geospatial big data,artificial intelligence,and machine learning algorithms have significantly improved the accuracy of off-channel water demand predictions,particularly at smaller scales.Future research should focus on enhancing the validation of prediction models and ensuring the robust integration of historical data to improve modeling reliability for off-channel water demand and consumption.关键词
需水量预测/Cite Space/影响因素/机器学习Key words
water demand prediction/Cite Space/influencing factors/machine learning分类
建筑与水利引用本文复制引用
何艳虎,徐小迪..河道外需水量影响因素及预测方法综述[J].灌溉排水学报,2025,44(1):1-7,7.基金项目
国家自然科学基金项目(51979043) （51979043）
中国工程院咨询项目(2022-PP-04) （2022-PP-04）
