[1]汪宙峰,徐建偉,龍沁洪,等.基于GIS的污水管網(wǎng)易爆氣體時空分布特征研究[J].中國給水排水,2021,37(15):63-69.
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.
點擊復(fù)制
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的污水管網(wǎng)易爆氣體時空分布特征研究
中國給水排水[ISSN:1000-4062/CN:12-1073/TU] 卷: 第37卷 期數(shù): 2021年第15期 頁碼: 63-69 欄目: 出版日期: 2021-08-01
- Title:
- Temporal and Spatial Distribution Characteristics of Explosive Gas in Sewage Pipe Network Based on GIS
關(guān)鍵詞:- 污水管網(wǎng); 易爆氣體：時空分布; GIS; 影響因子
- Keywords:
- sewage pipe network; explosive gas; temporal and spatial distribution; GIS; influencing factor
摘要:- 針對城市污水管道爆炸、氣體中毒等問題，以重慶“一小時經(jīng)濟(jì)圈”地區(qū)污水管網(wǎng)為研究對象，基于重慶市地下管網(wǎng)危險源物聯(lián)網(wǎng)監(jiān)測平臺，通過時空模型挖掘技術(shù)與GIS方法，研究某小區(qū)污水管道中的易爆氣體變化特征及其影響因子，同時分析了其在2016年—2019年的易爆氣體時空分布特征。結(jié)果表明，該小區(qū)污水管道中的易爆氣體濃度峰值時間段為：02:00—04:00、07:00—09:00、15:00—17:00；根據(jù)污水來源，易爆氣體濃度大小排序為：商業(yè)區(qū)＞居民住宅區(qū)＞公廁；易爆氣體濃度受污水量和COD濃度的中等強(qiáng)度的正向影響；當(dāng)溫度<35 ℃時，溫度越高則易爆氣體濃度越大；接近檢查井頂部的空間易爆氣體濃度更大，且沿著污水管道呈現(xiàn)減小的趨勢；管徑越大、管齡越長，易爆氣體濃度就越大；研究區(qū)域污水管道中的易爆氣體濃度整體上呈現(xiàn)逐年降低的趨勢，但在西部地區(qū)存在上升趨勢；Moran’s I空間自相關(guān)分析結(jié)果顯示，p值為0.036 8，z得分為2.087 6，Moran’s I指數(shù)為0.783 8，數(shù)據(jù)呈現(xiàn)聚類模式，表明易爆氣體濃度傾向于發(fā)生空間聚類現(xiàn)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.
相似文獻(xiàn)/References:
[1]于晨暉,張夢瑤,李彭,等.基于水力模型優(yōu)化污水泵站的啟停水位[J].中國給水排水,2021,37(1):81.
YU Chen-hui,ZHANG Meng-yao,LI Peng,et al.Optimization of Start-Stop Water Levels of Sewage Pumping Station Based on Hydraulic Model[J].China Water & Wastewater,2021,37(15):81.
[2]張俊,尤嵐,黃繼會,等.泵站區(qū)域協(xié)同調(diào)度用于蘇州城區(qū)污水管網(wǎng)低水位運(yùn)行[J].中國給水排水,2021,37(4):106.
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更新日期/Last Update: 2021-08-01
