人民珠江2024，Vol.45Issue(3)：59-68,10.DOI:10.3969/j.issn.1001-9235.2024.03.007
机器学习模型在岩溶地区水文预报中的适用性分析
Applicability Analysis of Machine Learning Model in Hydrological Forecasting in Karst Areas
摘要
Abstract
For hydrological forecasting in karst areas,existing research mainly uses hydrological models based on physical mechanisms,while rare research focuses on machine learning models.To explore the applicability of machine learning models in karst areas,this paper utilizes the LSTM model and random forest model to simulate the daily runoff and field floods at Tangdian hydrological station,using the Shadian River basin in Yunnan Province as the study area.The modified Xin'anjiang model for karst areas is taken as a reference.The results show that both the machine learning model and the modified Xin'anjiang model have achieved good results in simulating the daily runoff process,with the LSTM model showing better simulation results.In the simulation of floods,the modified Xin'anjiang model achieves Class A forecast accuracy.The machine learning models have better forecast results for the 6-hour forecasting period than the modified Xin'anjiang model,while the forecast results for the 24-hour forecasting period do not meet the accuracy requirements of the forecast operation.The study provides a reference for hydrological forecasting in karst areas by studying the characteristics and forecasting accuracy of two machine learning models and a hydrologic model.关键词
岩溶地区/洪水预报/机器学习/改进型新安江模型Key words
karst area/flood forecasting/machine learning/modified Xin'anjiang model分类
天文与地球科学引用本文复制引用
赵泽锦,孙伟,周斌,张轩,王高旭,吴巍,李文杰,姚业..机器学习模型在岩溶地区水文预报中的适用性分析[J].人民珠江,2024,45(3):59-68,10.基金项目
国家自然科学基金(91847301、92047203、42075191、52009080、42175177) （91847301、92047203、42075191、52009080、42175177）
蒙开个地区河库连通工程梯级泵站运行调度研究科技项目(MKG[2021]-KYKT-01) （MKG[2021]-KYKT-01）
中央级公益性科研院所基本科研业务费专项资金(Y521011、Y521013) （Y521011、Y521013）
