噪声污染突出企业的环境敏感点距离分布特征与卫生防护距离标准应用评估研究

    Research on distance distribution of environmentally sensitive points and application evaluation of health protection distance standards in enterprises with prominent noise pollution

    • 摘要:
      目的 分析《以噪声污染为主的工业企业卫生防护距离标准》(GB/T 18083-2000)标准实施效果。
      方法 采用分层便利抽样在全国范围内选取2001—2022年期间在业的纺织、机械、轻工和其他类型行业适用于标准的1 033家企业,调查企业周边最近环境敏感点的距离和环境影响评估报告对卫生防护距离标准的引用情况,分析不同行业间环境敏感点的距离分布特征与评估标准对于行业的适用情况。不同类型企业之间环境敏感点的距离分布比较用Kruskal-Wallis检验,显著差异时用Dunn检验并校正;不同行业间的卫生防护距离达标率与标准的适用率用χ2检验,显著差异时用Marascuilo两两检验。
      结果 被调查企业的卫生防护距离达标率为77.3%,机械、轻工、其他类型和纺织行业的达标率分别为78.7%、77.2%、76.9%和64.2%,4类行业之间卫生防护距离的达标率差异无统计学意义。标准推荐防护距离为300 m的风机制造与轧钢企业的环境敏感点距离分布之间的差异无统计学意义,标准推荐防护距离为200 m的综合型煤加工厂、面粉厂、锻造厂(有汽锤)、汽车改装厂、拖拉机厂5类企业之间的卫生防护距离分布差异有统计学意义(χ2=55.56,P < 0.001),标准推荐防护距离为200 m的综合型煤加工厂分别与锻造厂(有汽锤)、专用汽车改装厂、拖拉机厂及大、中型面粉厂之间的卫生防护距离分布差异有统计学意义(P校正值均<0.001);锻造厂(有汽锤)分别与专用汽车改装厂、拖拉机厂及大、中型面粉厂之间的噪声环境敏感点距离分布差异也存在统计学意义(校正P值分别为0.023、0.003及0.003)。其余两两间的差异均无统计学意义(P>0.05)。被调查企业对标准的引用率为10.6%,引用率≥10%的3类机械行业企业,纺织行业和其他类型企业,对标准的引用率之间的差异无统计学意义;引用率<10%的3类机械行业企业和4类轻工行业企业,对标准的引用率之间的差异无统计学意义。轻工行业较机械行业项目对标准引用率略高,机械行业有5类企业未引用标准。
      结论 GB/T 18083-2000的工业企业目录与推荐的卫生防护距离已不适用当前工业企业的噪声污染特征,建议尽快开展标准修订工作。

       

      Abstract:
      Objective To evaluate the implementation effectiveness of Health Protection Zone Standards for Industrial Enterprises by Noise (GB/T 18083-2000).
      Methods A stratified convenience sampling approach was used to select 1033 enterprises from the textile, machinery, light industry, and other sectors across China that were subject to the above standard and operational from 2001 to 2022. An investigation was conducted on the distances of the nearest ESPs surrounding these enterprises and the citation of health protection standards in environmental evaluation documents. The distance distribution of ESPs across various industries were analyzed, and the applicability of evaluation standards within these industries was assessed. The Kruskal-Wallis test was employed to compare the distance distributions of ESPs across enterprises, while significant differences were further examined using Dunn's test with appropriate corrections. Additionally, the chi-square test was used to assess the qualified rates for health protection distances across industries and standard applicability. When significant differences were observed, the Marascuilo pairwise test was utilized.
      Results The qualified rate for health protection distances among the surveyed enterprises was 77.3%. Specifically, the qualified rates for the machinery, light industry, other sectors, and textile were 78.7%, 77.2%, 76.9%, and 64.2%, respectively. No significant differences were observed in the health protection distance qualified rates across these sectors. Furthermore, no significant difference was found in the distance distribution between ESPs in wind turbine manufacturing and steel rolling enterprises with a recommended protection distance of 300 meters. However, a significant difference was observed in the distribution of health protection distances across five types of enterprises: coal briquette factories, flour mills, forging factories (equipped with steam hammers), automobile modification factories, and tractor factories, each having a recommended protection distance of 200 meters (χ2=55.56, P < 0.001). The differences in the distribution of health protection distances are statistically significant between a coal briquette processing plant and the forging plant (with steam hammer), the special-purpose automobile modification plant, the tractor factories, and medium to large flour mills (all adjusted P-values < 0.001). There are also statistically significant differences in the distribution of noise-sensitive point distances between the forging factories (equipped with steam hammers) and automobile modification factories, the tractor plant, and flour mills (adjusted P-values are 0.023, 0.003, and 0.003, respectively). With the exception of these, between all the other pairs, differences are not statistically significant (P>0.05).The standard citation rate of the surveyed enterprises was 10.6%. There were no significant differences in the standard citation rate across the three types of machinery enterprises, textile enterprises, and other types of enterprises with citation rates exceeding 10%, as well as across three types of machinery enterprises and four types of light industry enterprises with citation rates below 10%. The light industry had a slightly higher standard citation rate than the machinery, and there were five types of machinery enterprises that did not cite the standards.
      Conclusion The industrial enterprise directory outlined in GB/T 18083-2000, along with the recommended health protection distances, has become outdated in light of the current noise pollution associated with industrial enterprises. Therefore, it is imperative that the standard revision be initiated as soon as possible.

       

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