传统的检测地下管道漏水的方法是以声—电转换为基础，这使得灵敏度、深度和距离都受到很大限制。
To detect water leaking of underground tube, the traditional method relies on the sound-electricity transformation. Therefore, detection sensitivity, depth and distance suffer great limitation.
应用此法寻找基岩地下水源，具有灵敏度高、探测深度大、干扰因素少、工作周期短等特点。
It has shown the wonderful characteristics of higher sensitivity, greater detective depth, less interference and shorter work period when applied to search underground water resources in bedrock.
论文采用重叠灵敏度矩阵、面积比、重建图像、双吸收组织模型、不同深度下的信噪比等评价参数，对提出的多边形探头分布模型的性能进行评估。
The overlapping sensitivity matrix, area ratio (AR), reconstruction image, two-absorber model, and contrast-to-noise ratio (CNR) in different depths are used to evaluate the performance of PG.
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