浙江工业企业酸性废水处理降碳排放评价数据

通过企业酸性废水处理，减少化石能源消耗，提高固碳和碳捕捉技术水平，降低能耗，清洁环保，不产生二次污染，实现了近零排放和废弃物的循环利用。为同行业企业酸性废水处理量转化碳排放量提供数据支持。1、数据来源：数据来源于本企业每日入库酸性废水，以及处理酸性废水的数据 2、废物处理量相关指标系数 ：a=Y/X。Y：处理后吨数；X：入库吨计量。采用一元线性回归模型，其中Y是目标变量，X是输入特征，而a是模型需要学习的参数。通过以往采集到的数据，对模型进行训练得到a的值为0.98，使得Y尽可能准确地反映出X的实际影响。3、企业降低二氧化碳排放量指标系数：a=Y/X。Y:降低二氧化碳排放量;X:处理后吨数.本系数采用一元线性回归模型，其中Y是目标变量，X是输入特征，而a是模型需要学习的参数。通过以往采集到的数据，对模型进行训练得到a的值为0.4，使得Y尽可能准确地反映出X的实际影响。降低二氧化碳排放量=0.4*处理后吨数。4、通过对企业危险废弃物的高效处理，减少化石能源消耗，提高固碳和碳捕捉技术水平，降低能耗，实现碳排放达标。

This dataset is designed to support enterprises in the acidic wastewater treatment industry. It reduces fossil energy consumption, enhances carbon sequestration and carbon capture technologies, lowers energy usage, achieves near-zero discharge and waste recycling without secondary pollution, and provides data support for peer enterprises to convert their acidic wastewater treatment volume into corresponding carbon emissions.
1. Data Source: The data is collected from the daily inbound acidic wastewater and acidic wastewater treatment data of the enterprise.
2. Coefficient for waste treatment volume-related indicators: a = Y/X. Here, Y denotes the treated tonnage, and X denotes the inbound tonnage. A univariate linear regression model is adopted, where Y is the target variable, X is the input feature, and a is the parameter that needs to be learned by the model. Based on previously collected data, the model is trained to obtain a value of 0.98, allowing Y to accurately reflect the actual impact of X.
3. Coefficient for enterprise carbon dioxide emission reduction indicators: a = Y/X. Here, Y represents the reduced carbon dioxide emissions, and X represents the treated tonnage. A univariate linear regression model is adopted, where Y is the target variable, X is the input feature, and a is the parameter to be learned by the model. Using previously collected data, the model is trained to get a value of 0.4, enabling Y to accurately reflect the actual impact of X. The formula for reduced carbon dioxide emissions is: Reduced CO₂ Emissions = 0.4 × Treated Tonnage.
4. Through efficient treatment of the enterprise's hazardous wastes, fossil energy consumption is reduced, carbon sequestration and carbon capture technologies are improved, energy usage is lowered, and compliance with carbon emission standards is achieved.

搜集汇总

数据集介绍

特点

该数据集记录了浙江工业企业酸性废水处理过程中的关键数据，旨在通过数据分析支持降低碳排放和实现环保目标。数据每日更新，包含1054条记录，涵盖了从废水入库到处理后的各项指标，以及二氧化碳排放量的减少情况。