WANG Zhou-feng,XU Jian-wei,LONG Qin-hong,et al.Temporal and Spatial Distribution Characteristics of Explosive Gas in Sewage Pipe Network Based on GIS[J].China Water & Wastewater,2021,37(15):63-69.
基于GIS的污水管网易爆气体时空分布特征研究
- Title:
- Temporal and Spatial Distribution Characteristics of Explosive Gas in Sewage Pipe Network Based on GIS
- Keywords:
- sewage pipe network; explosive gas; temporal and spatial distribution; GIS; influencing factor
- 摘要:
- 针对城市污水管道爆炸、气体中毒等问题，以重庆“一小时经济圈”地区污水管网为研究对象，基于重庆市地下管网危险源物联网监测平台，通过时空模型挖掘技术与GIS方法，研究某小区污水管道中的易爆气体变化特征及其影响因子，同时分析了其在2016年—2019年的易爆气体时空分布特征。结果表明，该小区污水管道中的易爆气体浓度峰值时间段为：02:00—04:00、07:00—09:00、15:00—17:00；根据污水来源，易爆气体浓度大小排序为：商业区＞居民住宅区＞公厕；易爆气体浓度受污水量和COD浓度的中等强度的正向影响；当温度<35 ℃时，温度越高则易爆气体浓度越大；接近检查井顶部的空间易爆气体浓度更大，且沿着污水管道呈现减小的趋势；管径越大、管龄越长，易爆气体浓度就越大；研究区域污水管道中的易爆气体浓度整体上呈现逐年降低的趋势，但在西部地区存在上升趋势；Moran’s I空间自相关分析结果显示，p值为0.036 8，z得分为2.087 6，Moran’s I指数为0.783 8，数据呈现聚类模式，表明易爆气体浓度倾向于发生空间聚类现象。
- Abstract:
- Aiming at the problems of explosion and gas poisoning in urban sewage pipes, variation characteristics and influencing factors of explosive gas in underground sewage pipeline of a community in the “one-hour economic circle” area of Chongqing were investigated based on the monitoring platform of the internet of things for hazardous sources in Chongqing underground pipe network, and the temporal and spatial distribution characteristics of explosive gas from 2016 to 2019 were analyzed through temporal-spatial model mining technology and GIS method. The peak periods of explosive gas concentration in sewage pipes in this community were 02:00-04:00, 07:00-09:00 and 15:00-17:00. According to the source of the sewage, the concentration of explosive gas was ranked from large to small as follows: commercial district, residential district and public toilets. The explosive gas concentration was positively affected by sewage volume and COD. When the temperature was less than 35 ℃, the explosive gas concentration increased with the temperature rise. The concentration of explosive gas in space near the top of the inspection well was higher and tended to decrease along the pipeline. The explosive gas concentration increased with larger pipe diameters and longer pipe ages. In the study area, the concentration of explosive gas showed a decreasing trend year by year, while it was an upward trend in the western region. Moran’s I spatial autocorrelation analysis showed that p value was 0.036 8, z score was 2.087 6, and Moran’s I index was 0.783 8. The data presented a clustering mode, indicating that the concentration of explosive gas tended to have spatial clustering phenomenon.
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