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 15):63-69.
Temporal and Spatial Distribution Characteristics of Explosive Gas in Sewage Pipe Network Based on GIS
China Water & Wastewater[ISSN:1000-4062/CN:12-1073/TU]
volume:
第37卷
Number:
15 15
Page:
63-69
Column:
Date of publication:
2021-08-01
- Keywords:
- sewage pipe network; explosive gas; temporal and spatial distribution; GIS; influencing factor
- 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.
Last Update:
2021-08-01