磷化工厂区环境监测及污染扩散模型数据集

基于磷化工厂区内的环境监测数据（包括废气、废水、固体废物中的污染物种类、浓度等），结合气象条件、地形地貌等环境因素，运用数学模型（如高斯模型、有限元法等）和算法（如机器学习、统计分析等），对污染物的扩散趋势进行模拟和预测，从而实现对厂区及周边环境质量的实时监测和污染预警

This dataset is developed based on environmental monitoring data collected within the phosphate chemical plant area, covering pollutant types and concentrations in exhaust gas, wastewater and solid waste, alongside other relevant parameters. It integrates environmental factors such as meteorological conditions and topography, and employs mathematical models (e.g., Gaussian model, finite element method) and algorithms (e.g., machine learning, statistical analysis) to simulate and forecast the diffusion trends of pollutants, thereby enabling real-time monitoring of environmental quality in and around the plant as well as pollution early warning.

搜集汇总

数据集介绍

特点

该数据集名为磷化工厂区环境监测及污染扩散模型数据集，由贵州勘设生态环境科技有限公司申请，数据规模为10.3GB，无更新周期。主要用于磷化工厂区的环境监测和污染扩散模型研究，为环境污染防控和应急预案制定提供科学依据。