宁波市家庭室内空气中甲醛浓度检测数据

对宁波市于2020年至2023年在本单位检测的家庭室内空气中甲醛浓度进行分析，数据反应甲醛浓度与季节温度、室内装修情况、房间位置等都有很大的关系。本数据为以后市民室内空气中甲醛污染物控制提供参考依据。数据来源：2020年至2023年来本单位委托检验的家庭室内环境检测；数据检测：按标准要求封闭门窗，采样人员上门采样，采样完成后将样品带回实验室进行分析；数据计算：甲醛浓度ρ=（A -A0）*Bg/ Vr、式中A为样品溶液的吸光度，A0为空白溶液的吸光度，Bg为计算因子，μg/吸光度，Vr为标准状态下的采样体积，单位为升（L）；数据应用：通过检测数据分析，影响甲醛浓度的主要因素是温度，夏季甲醛浓度超标较多，其次是房间类型，卧室较其他房间超标较多，卧室中儿童房更是偏高，最后是装修类型，使用软包、墙纸较多的房间更容易甲醛超标。本次数据可以为市民在以后装修房屋时提供参考依据。

This dataset analyzes the formaldehyde concentrations in indoor air of households tested at our institution in Ningbo City from 2020 to 2023. The data demonstrates that formaldehyde concentration is significantly correlated with multiple factors including seasonal temperature, indoor decoration status, and room location. This dataset provides a reference basis for residents to control formaldehyde pollutants in indoor air in the future.

Data Source: Family indoor environmental inspection reports commissioned to our institution from 2020 to 2023.
Data Testing: Windows and doors were sealed in accordance with standard requirements; sampling personnel conducted on-site sampling, and collected samples were transported back to the laboratory for analysis.
Data Calculation: The formaldehyde concentration ρ is calculated using the formula ρ = (A - A₀) × Bg / Vr, where A represents the absorbance of the sample solution, A₀ represents the absorbance of the blank solution, Bg is the calculation factor (unit: μg/absorbance), and Vr is the sampling volume under standard conditions, with the unit of liter (L).
Data Application: Based on the analysis of the inspection data, the primary factor affecting formaldehyde concentration is temperature, with a higher proportion of non-compliant formaldehyde concentrations in summer. The secondary factor is room type: bedrooms, especially children's bedrooms, have a higher rate of exceeding the standard compared to other rooms. The last factor is decoration type: rooms with extensive use of soft packages and wallpapers are more likely to have excessive formaldehyde concentrations. This dataset can provide reference for residents when decorating their houses in the future.