Imaging of karst cave using ground penetrating radar and electrical resistivity tomography: a case study in Shandong, China

نویسندگان

چکیده

Abstract A denudation-dissolution hilly area about 20km southeast of Jinan city, Shandong Province, China is characterized by karst features. The upper part the covered quaternary Holocene flood and slope deposits, lower bedrock Ordovician limestone, which a moderately weathered massive structure with developed joints fissured fractures, solution grooves can be seen locally. local government to better serve surrounding residents facilities, here planned for substation, later security construction, electrical resistivity tomography (ERT) method ground penetrating radar (GPR) were used investigate underground caves. aim joint use two methods describe characteristics landform, 160 MHz shielding antenna was employed in GPR survey, while frequency limits scope depth electromagnetic waves reach. However, it provides lot shallow stratigraphic information, well represents boundary between overburden development karst. ERT further makes up defects method, two-dimensional imaging distribution carried out, also helps identify combination geophysical accurately delineate karst, proves that has good application value landform detection, applied similar geological survey.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Imaging the structure of cave ice by ground-penetrating radar

Several caves in high elevated alpine regions host up to several meters thick ice. The age of the ice may exceed some hundreds or thousands of years. However, structure, formation and development of the ice are not fully understood and are subject to relatively recent investigation. The application of ground-penetrating radar (GPR) enables to determine thickness, volume, basal and internal stru...

متن کامل

Subsurface Imaging using Ground-Penetrating Radar Measurements

Much work has been done toward reconstructing the electrical parameters of an unknown buried object. Many methods, and accompanying results from simulations, have been presented. Most research in the area, however, has been in developing imaging algorithms that have been tested primarily through computer simulation. This paper presents a newly constructed facility for ground-penetrating radar e...

متن کامل

Use of Ground-Penetrating Radar (GPR) and Electrical Resistivity Tomography (ERT) to study tree roots volume in pine forest and poplar plantation

1. Introduction The evaluation of tree root biomass is significant and difficult to survey accurately. Traditional approach used for roots biomass harvest (e.g., soil cores and trenches) provide reasonable accurate information but they are destructive in nature, labour intensive, and limited whit respect to soil volume and surface area that can be assessed. Data derived from traditional root ex...

متن کامل

Compressive sensing for subsurface imaging using ground penetrating radar

The theory of compressive sensing (CS) enables the reconstruction of sparse signals from a small set of non-adaptive linear measurements by solving a convex ‘1 minimization problem. This paper presents a novel data acquisition system for wideband synthetic aperture imaging based on CS by exploiting sparseness of pointlike targets in the image space. Instead of measuring sensor returns by sampli...

متن کامل

Ground-Penetrating Radar

Ground-penetrating radar (GPR) has recently gained a wide acceptance in the archaeological community as a method that can quickly and accurately locate buried archaeological features, artifacts, and important cultural strata in the near-surface. The GPR method has been especially effective in certain sediments and soils between about 20 cm and 5 m below the ground surface, where the targets to ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: IOP conference series

سال: 2022

ISSN: ['1757-899X', '1757-8981']

DOI: https://doi.org/10.1088/1755-1315/1087/1/012071