安徽省农村黑臭水体分布特征及污染指标分析

Analysis of distribution characteristics and pollution indicators of rural black and odorous water bodies in Anhui Province

  • 摘要: 为探究安徽省农村黑臭水体特征与污染指标的关联性,采用最近邻指数法分析黑臭水体空间分布格局,采用K-Means聚类分析、Spearman秩相关分析、非参数检验、Nemenyi法对污染指标进行对比分析,并采用Pearson卡方检验污染驱动因素。结果表明:1)安徽省农村黑臭水体呈现凝聚型分布,90.47%集中分布于淮北平原区;62.72%的黑臭水体面积在2 000 m2以下,面积超过10 000 m2的黑臭水体占黑臭水体总面积的60.70%。坑塘和沟渠是农村黑臭水体的主要类型,其数量占比分别为61.25%和36.18%。2)黑臭水体主要污染特征为氨氮浓度高、溶解氧浓度低,人口数与黑臭水体透明度呈负相关,相关系数为−0.083(P<0.01),与氨氮浓度呈正相关,相关系数为0.071(P<0.01);黑臭水体面积与溶解氧浓度、氨氮浓度呈正相关,相关系数分别为0.172(P<0.01)、0.052(P<0.05),透明度与溶解氧浓度、氨氮浓度呈负相关,相关系数分别为−0.199(P<0.01)、−0.192(P<0.01)。3)透明度、溶解氧浓度、氨氮浓度在不同水体类型间差异显著(P<0.01);坑塘型和河流型水体在透明度和溶解氧浓度中呈现显著差异(P<0.01)。4)坑塘型水体主要以外源污染为主,占66.95%;沟渠型和河流型水体中以混合源污染为主,分别占56.49%和58.06%。随着黑臭水体面积增大,以外源污染为主逐渐变为以混合污染源为主。97.65%的水体黑臭与农村生活污水排放有关,因此农村生活污水是水体黑臭的主要污染成因。农村黑臭水体治理应针对集聚区域,以控源截污为核心,协同推进底泥清淤与生产垃圾废物资源化处置,同时建立公众参与平台及第三方评估机制,保障治理可持续性。

     

    Abstract: To investigate the correlation between characteristics and pollution indicators of rural black and odorous water bodies (BOWBs) in Anhui Province, we analysed the spatial distribution patterns using the Nearest Neighbor Index method and compared the pollution indicators through K-Means clustering analysis, Spearman rank correlation analysis, non-parametric tests and Nemenyi method. Pollution driving factors were examined by Pearson chi-square test. The results indicated that the rural BOWBs in Anhui Province exhibited a clustered distribution pattern, with approximately 90.47% concentrated in Huaibei Plain region. While 62.72 percent of BOWBs had an area of less than 2 000 m2, those over 10 000 m2 accounted for 60.70 percent of the total BOWBs area. Pits/ponds and ditches were the main types of BOWBs in rural areas, accounting for 61.25% and 36.18% of the total, respectively. The primary pollution characteristics of BOWBs were elevated ammonia nitrogen (NH3-N) concentrations coupled with depressed dissolved oxygen (DO) levels. Population size demonstrated a negative correlation with transparency (r=−0.083, P<0.01) in BOWBs, and a positive correlation with NH3-N concentrations (r=0.071, P<0.01). The area of BOWBs showed a positive correlation with DO concentrations (r= 0.172, P<0.01) and a positive correlation with NH3-N levels (r= 0.052, P<0.05). Transparency exhibited negative correlations with DO concentrations (r=−0.199, P<0.01) and NH3-N levels (r=−0.192, P<0.01), respectively, in BOWBs. Transparency, DO concentrations, and NH3-N levels showed significant differences among water body types (P<0.01). Pond-type and river-type water bodies exhibited statistically distinct patterns in both transparency and DO concentrations (P<0.01). Pits/ponds were primarily polluted by external sources, accounting for 66.95%, while mixed-source pollution was dominant in both ditch-type and river-type water bodies, constituting 56.49% and 58.06%, respectively. As black and odorous water bodies (BOWBs) expanded in area, the dominant pollution sources shifted progressively from predominantly exogenous inputs to mixed-source contributions. Rural domestic sewage constituted the primary driver of BOWBs, with 97.65% of these water bodies linked to this contamination source. Governance should target clustered regions, prioritizing source control and pollution interception, coordinated with sediment dredging and resource-recovery disposal of agricultural waste. Establishing public participation platforms and third-party evaluation mechanisms is critical to ensure sustainable remediation outcomes.

     

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