基于应力波监测技术的填埋场渗漏定位模型构建
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摘要
为解决现有电学方法监测垃圾填埋场防渗层渗漏存在的"先污染,后发现"的问题,提出了基于应力波监测技术的垃圾填埋场防渗层渗漏监测定位方法。利用应力波传感器识别和采集应力波信号,建立了应力波波速与时间的空间立体模型,实现防渗层渗漏定位,并对定位结果进行校正。结果表明:检波器距渗漏点的直线距离应≤31. 5 m;定位模型停止迭代的条件是校核向量各元素绝对值<140;定位模型的平均定位误差为0. 248 m,各方向最大引用误差约为0. 32%、0. 58%;通过迭代运算可以缩小被测区域的速度校核比范围,将其作为下一次定位运算的速度校核比初始值,可以减小迭代运算的次数。
In order to solve the problem of"discovery after pollution"caused by existing electrical methods used for monitoring the landfill's impermeable layer,this paper proposed a monitoring location method for impermeable layer leakage in refuse landfills based on stress wave monitoring technology. The stress wave signals were identified and collected by use of a stress wave sensor,and a spatial three-dimensional model of stress wave velocity and time was established to achieve the leakage location of the impermeable layer and correct the positioning results. The results showed that: the linear distance between the wave detector and the leakage point should be less than or equal to 31. 5 m; the condition of iteration stop of the positioning model was that the absolute value of each element of the checking vector was less than 140; the average positioning error of the positioning model was 0. 248 m,and the maximum citation error in each direction was about 0. 32% and 0. 58%; by iterative calculation,the speed check ratio range of the measured area could be reduced,and it would be taken as the speed check ratio initial value of the next positioning operation,to reduce the number of iterative operations.
In order to solve the problem of"discovery after pollution"caused by existing electrical methods used for monitoring the landfill's impermeable layer,this paper proposed a monitoring location method for impermeable layer leakage in refuse landfills based on stress wave monitoring technology. The stress wave signals were identified and collected by use of a stress wave sensor,and a spatial three-dimensional model of stress wave velocity and time was established to achieve the leakage location of the impermeable layer and correct the positioning results. The results showed that: the linear distance between the wave detector and the leakage point should be less than or equal to 31. 5 m; the condition of iteration stop of the positioning model was that the absolute value of each element of the checking vector was less than 140; the average positioning error of the positioning model was 0. 248 m,and the maximum citation error in each direction was about 0. 32% and 0. 58%; by iterative calculation,the speed check ratio range of the measured area could be reduced,and it would be taken as the speed check ratio initial value of the next positioning operation,to reduce the number of iterative operations.
引文
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[14] Robert A L,Ronald A C. Variable response of a thermally tuned MEMS pressure sensor[J]. Sensors and Actuators A:Physical,2016,246:156-162.
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[16]陈利杰.地震波波速与围岩等级的统计分析[J].铁道勘察,2013,39(3):47-50.
[2] Merve S,Esra Y,Gulnare A. Pyrolysis of waste high density polyethylene(HDPE)and low density polyethylene(LDPE)plastics and production of epoxy composites with their pyrolysis chars[J]. Journal of Cleaner Production,2017,165:369-381.
[3] Park J S,Cho I H,Gwon S J,et al. Preparation of a high-density polyethylene(HDPE)film with a nucleating agent during a stretching process[J]. Radiation Physics and Chemistry,2009,78(7/8):501-503.
[4] Han Z Y,Ma H N,Shi G Z,et al. A review of groundwater contamination near municipal solid waste landfill sites in China[J].Science of the Total Environment,2016,569/570:1255-1264.
[5]徐亚,能昌信,刘玉强,等.基于环境风险的危险废物填埋场安全寿命周期评价[J].中国环境科学,2016,36(6):1802-1809.
[6]尚浩,郭秀军,王仙丽,等.垃圾填埋场渗漏污染三维分布式电学监测系统研制及应用[J].地球物理学进展,2010,25(4):1485-1491.
[7]马媛媛,郭秀军,朱大伟,等.生活垃圾渗滤液污染砂土电阻率变化机制实验研究[J].地球物理学进展,2010,25(3):1098-1104.
[8]陈亚宇,能昌信,王振翀,等.基于传输线模型的垃圾填埋场渗漏定位方法探讨[J].煤炭工程,2012(3):105-107.
[9]张义雄,王盛学,何平,等.垃圾填埋场土工膜破裂渗漏电压差分矢量测试法[J].电子技术应用,2013,39(8):64-66,69.
[10]陈亚宇,冯子亮,杨家良,等.基于分布式光纤测温系统的垃圾填埋场渗漏定位[J].环境工程学报,2016,10(10):6087-6092.
[11]刘绘清,付清锋.用于地震勘探的三分量检波器[J].传感器世界,2003(9):32-35.
[12]王驰.基于声-地震耦合的声波探雷模型研究[D].天津:天津大学,2009.
[13]邓学晶,孔宪京,邹德高.复杂荷载作用下填埋场HDPE土工膜受拉计算[J].岩土工程学报,2007,29(3):447-451.
[14] Robert A L,Ronald A C. Variable response of a thermally tuned MEMS pressure sensor[J]. Sensors and Actuators A:Physical,2016,246:156-162.
[15] Ye X W,Huang Y M,Liu J P. 3D P-wave Velocity Structure and Active Tectonics in the Xinfengjiang Area of Guangdong[J].Earthquake Research in China,2017,31(4):441-454.
[16]陈利杰.地震波波速与围岩等级的统计分析[J].铁道勘察,2013,39(3):47-50.