PMID- 31493085
OWN - NLM
STAT- MEDLINE
DCOM- 20200204
LR  - 20200204
IS  - 1614-7499 (Electronic)
IS  - 0944-1344 (Linking)
VI  - 26
IP  - 31
DP  - 2019 Nov
TI  - Using stress wave technology for leakage detection in a landfill impervious 
      layer.
PG  - 32050-32064
LID - 10.1007/s11356-019-06379-1 [doi]
AB  - This paper proposes a stress wave monitoring method for monitoring and locating 
      leakage through the impervious layer at a landfill to resolve the "first 
      pollution, then discovery" problem caused by the existing electrical monitoring 
      method. The experimental results show that the linear distance to the geophones 
      from the leak point should be less than 31.5 m to provide a well-defined rupture 
      signal. The amplitudes of the stress wave signals generated during the yield and 
      rupture stages of the high-density polyethylene (HDPE) film are more obvious and 
      easily identified by the geophones; the rupture signal duration is approximately 
      100 ms, and the bandwidth is distributed within 0 kHz to 1 kHz. By studying the 
      stress wave first arrival times calculated by the picking model, the average 
      error of the picking model is approximately 0.35 ms, and the iteration of the 
      model is ceased when the thresholds of the discriminating indices are 3.5 and 
      0.9. Experiments reveal that the positioning model should stop iterating when the 
      absolute value of each element in the calibration vector is less than 140. The 
      average positioning error is 0.248 m, and the maximum fiducial errors of the 
      positioning model in the X-axis and Y-axis directions are 0.32% and 0.58%, 
      respectively.
FAU - Chen, Yayu
AU  - Chen Y
AD  - College of Mechanical and Equipment Engineering, Hebei University of Engineering, 
      Handan, 056038, China.
FAU - Sun, Huanyi
AU  - Sun H
AD  - College of Mechanical and Equipment Engineering, Hebei University of Engineering, 
      Handan, 056038, China. 13930183041@163.com.
FAU - Zhang, Wei
AU  - Zhang W
AD  - College of Mechanical and Equipment Engineering, Hebei University of Engineering, 
      Handan, 056038, China.
FAU - Huang, Xiaosong
AU  - Huang X
AD  - College of Mechanical and Equipment Engineering, Hebei University of Engineering, 
      Handan, 056038, China.
LA  - eng
PT  - Journal Article
DEP - 20190906
PL  - Germany
TA  - Environ Sci Pollut Res Int
JT  - Environmental science and pollution research international
JID - 9441769
RN  - 9002-88-4 (Polyethylene)
SB  - IM
MH  - Algorithms
MH  - Calibration
MH  - Electricity
MH  - Polyethylene/*chemistry
MH  - Technology
MH  - *Waste Disposal Facilities
OTO - NOTNLM
OT  - Fracture experiment
OT  - HDPE film
OT  - Impervious layer
OT  - Landfill
OT  - Leakage monitoring
OT  - Stress wave detection
EDAT- 2019/09/08 06:00
MHDA- 2020/02/06 06:00
CRDT- 2019/09/08 06:00
PHST- 2019/03/06 00:00 [received]
PHST- 2019/08/29 00:00 [accepted]
PHST- 2019/09/08 06:00 [pubmed]
PHST- 2020/02/06 06:00 [medline]
PHST- 2019/09/08 06:00 [entrez]
AID - 10.1007/s11356-019-06379-1 [pii]
AID - 10.1007/s11356-019-06379-1 [doi]
PST - ppublish
SO  - Environ Sci Pollut Res Int. 2019 Nov;26(31):32050-32064. doi: 
      10.1007/s11356-019-06379-1. Epub 2019 Sep 6.