基于大数据分析的水环境风险预测模型研究  

Research on Water Environmental Risk Prediction Model based on Big Data Analysis

作　　者：屠佳钰 Tu Jiayu(Shanghai Investigation Design&Research Institute,Shanghai,China)

机构地区：[1]上海勘测设计研究院有限公司,上海

出　　处：《科学技术创新》2024年第10期24-27,共4页Scientific and Technological Innovation

基　　金：公司内部科研项目:《智慧环境保护管理信息系统中的环境风险评估预测模型及实现方法的初步研究》,项目编号:2021HJ(8)-011。

摘　　要：目前,随着3S等新技术的发展,形成了包括数学模型与3S的结合、数学模型与人工神经网络相结合的不同的模型计算方式。今后需要进一步研究如何将水环境模型和大数据技术更好地进行融合,深入挖掘模型应用并充分发挥其应用价值。通过大数据分析的流域性水环境风险预测模型,如对整个长江流域进行预测预警,将有助于更完整更系统得对长江流域进行管控,能够更及时更有效的预警,解决优化调控类科学决策问题。At present,with the development of new technologies such as 3S,different model calculation methods have been formed,including the combination of mathematical models.3S,and the combination of mathematical models with artificial neural networks.In the future,it is necessary for further research on how to better integrate water environment models with big data technology.Also,we need to deeply explore the application of models and give full play to their application value.The basin-wide water environment risk prediction model analyzed through big data,such as prediction and early warning for the entire Yangtze River Basin,which will help to control the Yangtze River Basin more completely and systematically.These provide more timely and effective early warning will solve the scientific problem of optimization and control decision-making problem.

关 键 词：大数据 水环境 风险预测模型 

分 类 号：X824[环境科学与工程—环境工程]