GPR detection of several common subsurface voids inside dikes
Transcription
GPR detection of several common subsurface voids inside dikes
Engineering Geology 111 (2010) 31–42 Contents lists available at ScienceDirect Engineering Geology j o u r n a l h o m e p a g e : w w w. e l s ev i e r. c o m / l o c a t e / e n g g e o GPR detection of several common subsurface voids inside dikes and dams Xingxin Xu a,⁎, Qiaosong Zeng a, Dong Li b, Jin Wu a, Xiangan Wu a, Jinyin Shen c a b c Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, GD 510640, P.R. China Guangdong Insect Institute, Guangzhou, GD 510260, P.R. China Water Resources Department of Guangdong Province, Guangzhou, GD 510150, P.R. China a r t i c l e i n f o Article history: Received 11 July 2009 Received in revised form 2 December 2009 Accepted 4 December 2009 Available online 31 December 2009 Keywords: Dam safety Bank stabilization Subsurface void Geophysical detection Ground-penetrating radar a b s t r a c t Ground-penetrating radar (GPR) technique has been used in detecting several common subsurface voids inside dikes and dams in south of China, and the results indicate that GPR can be successfully applied to uncovering termite nests inside dikes and dams, and the technique proves to be advantageous in real-time retrieval of detection data, precise positioning and effect of application being basically not affected by locality and climate, when it is compared to other available methods. GPR is also effective in detecting cracks in the sloping clay core, and proves to pose less impact on the normal operation of the detected hydraulic projects, be more efficient, and capable of retrieving more comprehensive detection data, when compared with the method of artificial observation through holes chiseled out from the ground. Also, GPR is capable of detecting ferralsol in tropical and subtropical regions to some depth, and shows high value of application in detecting some hidden troubles such as caves and settlements with low to moderate depths inside dams in karst regions. Moreover, GPR technique proves to be so capable of detecting carbonate rocks to certain depth and can yield precise results that it can be applied to analysis and discovery of leakage channels inside reservoirs in karst regions. © 2009 Elsevier B.V. All rights reserved. 1. Introduction In the 1950s to 1970s, a great number of dikes and dams with low to moderate heights were built to dam rivers in China. Now many of these hydraulic projects clearly show hidden troubles or even dangers (Li, 2005). In flood periods, dangerous situations and even collapse frequently occur for many dikes and dams; this is simply because these projects are unable to bear the impact of big flood. According to statistics, in the period from 1954 when dike collapse data are available until the end of 2003, 3484 dikes in total collapsed in China, which means collapse of nearly 70 dikes on an annual average (Zhou et al., 2007). Risks and breaches of dikes are even more frequent. For example, in the flood event occurring in the middle to lower reaches of the Yangtze River in 1998, more than 9000 risky situations occur on the major dikes along the river, and 1075 dikes collapsed along trunk streams in the middle to lower reaches of the Yangtze River and around the Dongting Lake and Poyang Lake, while the majority of these collapsed dikes were not even inundated at the time of their collapse (Zhang, 1999). Accidents of dike breach occur in both trunk streams and tributaries of the Yellow River in the event of flood occurring in 2003 (Zhao et al., 2004). In the flood event that occurred in Guangdong in 2005, more than 2000 dike segments were damaged, more than 1000 dike segments were breached, a great number of ⁎ Corresponding author. Fax: +86 20 85290130. E-mail address: [email protected] (X. Xu). 0013-7952/$ – see front matter © 2009 Elsevier B.V. All rights reserved. doi:10.1016/j.enggeo.2009.12.001 water gates, small hydropower stations and dikes were ruined, and one dam even collapsed (Yue, 2005). Unless hydraulic projects were fully inundated or operation of hydraulic projects exceeds the allowed extreme conditions in case of very unusual flood event that surpasses the design standard for the projects, dikes and dams with hidden defects can be periodically detected with effective means, in an attempt to remove potential risks or accidents. In this way, defects can be positioned and located, and measures be taken for reinforcement of these hydraulic projects and removal of related risks. As a result, with development of effective, economic, highly efficient technical means for detecting multiple hidden defects and their application to detection of hidden defects inside existing hydraulic projects, reliable data can be obtained for reasonable renovation and safety management of the projects, which would be significant for controlling the occurrence of risks or breaches of dikes and dams. As a kind of high resolution, non-destructive geophysical detection technique, ground-penetrating radar (GPR) has been applied extensively in geological prospecting (Walter and Robert, 2000; Hambrey et al., 2008), underground archeological surveying (Edwards et al., 2000; Carrozzo et al., 2003.), karst analysis (Walid et al., 2002; Gad et al., 2005), highway reconnaissance (Saarenketo and Scullion, 2000), etc. Successful applications have been found in investigation of scour pits around underwater bridge piers (Chang et al., 2004), detection of erosion of clay core for dams (Seje et al., 1995), inspection of levees (Ferguson and Brierley, 1999; Bristow et al., 1999), investigation of near-surface fault properties (Cai et al., 1996; Rashed et al., 2003), and 32 X. Xu et al. / Engineering Geology 111 (2010) 31–42 detection of underwater structures (Dai and Wang, 2003; Xu et al., 2006). Subsurface termite nests inside dikes and dams, caves and settlements inside dikes and dams particularly in karst regions are all common hidden defects in hydraulic projects in south of China. Cracks inside sloping clay core are also hidden defects that pose severe threat to dike safety. However, conventional techniques for detection of these hidden defects prove to be unsatisfactory. In regard to this problem, attempts have been made by the authors in application of GPR means to detection of several hidden defects inside a number of hydraulic projects in this paper. When electromagnetic wave reaches the interface between two kinds of electric materials, its reflection amount depends upon the difference in dielectric constant between the two materials, while the reflecting coefficient R for the interface between them can be expressed as follows: R= pffiffiffiffiffiffiffiffiffiffiffiffi ε2 =ε1 pffiffiffiffiffiffiffiffiffiffiffiffi 1+ ε2 =ε1 1− where ε1 and ε2 refer respectively to the dielectric constants of the two materials. 2. Principle of GPR 3. Ferralsol, the major soil type in south of China GPR generally consists of emitter, receiver and mainframe (Fig. 1). GPR frequency ranging between 10 MHz and 1 GHz, corresponding to a pulse width of nanoseconds to dozens of nanoseconds, is used in geological prospecting. High frequency signal penetrates to smaller depth beneath ground but shows higher resolution than low frequency signal. Short pulse is sent into the ground via emission antenna, while transmission of electromagnetic wave in underground depends upon the attribute of the media it penetrates; as for the media its conductivity controls the attenuation of signal, its dielectric constant controls the rate of signal transmission. Part of the signals emitted will be reflected at the interface between two materials with different electric properties, and can be received, magnified, digitized by the receiver and then sent to the mainframe for storage and processing. The mainframe functions to coordinate emitter and receiver and process the data it receives (Xie et al., 1994). For media like soil, rock and fresh water, the wave velocity of electromagnetic wave V can be expressed as follows (Flohrer and Pöpel, 1996): V = C= pffiffiffiffiffi εγ where C is the rate for light transmission, and εγ is the dielectric constant of the media. From the above equation the distance D between the antenna and a reflection point can be calculated as follows: Δt 2 D = V⋅ where △t refers to the time required from emitting to receiving of an electromagnetic wave. Ferralsol, including red soil, yellow soil and latosol, is a kind of soil commonly seen in tropical and subtropical regions, and is a major soil type occurring in south China (Lv and Li, 2006). Distribution of ferralsol in China is shown in Fig. 2. Ferralsol generally shows intense weathering of minerals and homogeneous texture, and is comprised of abundant clay minerals, mainly kaolinite (about 40–50%) (Ma et al., 1999). For convenience in exploitation, ferralsol is commonly utilized to construct dikes and dams. Ferralsol generally shows a moisture content varying between 10% and 30%, with a corresponding conductivity ranging between 6.1 and 38.5 mS/m (Li et al., 2005). Moisture content in the range of l5–30% poses the most significant influence upon the conductivity of ferralsol, while a moisture content exceeding 30% exerts apparently attenuated influence on its conductivity, since this moisture content is close to the saturation limit of a soil (Sun, 2000). In order to attain an approximate understanding of the transmission process of GPR pulse in soil, the authors performed related tests on a test field, which was established on a ferralsol slope in the suburb of Guangzhou City in Guangdong Province. An almost upright slope and a horizontal slope top were first cut on the hillside, then four cylindrical caves in the size of Ф30 × 150 cm and one cylindrical cave in the size of Ф7.5 × 150 cm were cut perpendicular to the slope, and these artificial caves were used as the objects for the study (Fig. 3). GPR test lines are located on the top of the slope, being vertical to the axis of the caves. For the tests an antenna with a frequency of 300 MHz and another antenna with a frequency of 500 MHz were used. As shown by the test results, the 500 MHz antenna can detect caves to a depth down to 245 cm, while the 300 MHz antenna can detect caves to a depth down to 345 cm (Fig. 4). Based on the height difference between the top of each cave and the top of the slope and the time required for dual transmission of electromagnetic wave, the wave transmission rate for the soil in the test field (V) can be calculated as 0.076 m/ns, and the dielectric constant is 17.3. Numerous tests were carried out in both rainy and dry seasons, and the test results show only limited differences between the different seasons. This is because moisture content varies considerably only in soil layers of thickness varying between 0 and 50 cm, soil layers with this thickness range are affected by external environmental factors while soil layers with greater thickness remain less affected by such factors (Wang et al., 2006; Huang and Zhou, 2003). Therefore, it can be inferred that seasonal factors pose little influence upon GPR detection of deeper objects below the ground. 4. GPR detection of subterranean termite nests Fig. 1. Block diagram showing the principle of ground-penetrating radar. Approximately 500 species of termites occur in China, and they are distributed in close to 40% of the total area of China (Fig. 2). With the Yangtze River as the boundary between north and south of China, termites show decreasing density of distribution and smaller number of species toward the north, but increasing density of distribution and greater number of species toward the south (Li et al., 1989a,b). X. Xu et al. / Engineering Geology 111 (2010) 31–42 Fig. 2. Distribution of ferralsols and termites in China. Fig. 3. A simulated GPR test field. 33 34 X. Xu et al. / Engineering Geology 111 (2010) 31–42 Fig. 4. 300 MHz GPR image for caves detected in the simulated test field. Subterranean termites are basically distributed to the south of the north latitude 35°, as they simply prefer to build nests below the ground. Ferralsol used for construction of dikes and dams is particularly suitable for subterranean termites to build their nests, and the environmental conditions of dikes and dams also prove to be suitable for living and subsistence of these subterranean termites, therefore, dikes and dams become places where subterranean termites are densely distributed. Termite nests constructed inside dikes and dams would seriously endanger the safety of these hydraulic projects, hence becoming one of the commonest hidden troubles in south of China, as dangerous situations and accidents posed by termites to dikes and dams occur rather frequently in flood periods (Li et al., 2004). Fig. 5 is a photo taken for a portion of a dike at a time just after the flood receded, and the photo vividly reflects damage to the dike as created by termites. Taxonomically, termites belong to Isoptera, and occur in thousands of species. In south China, Vietnam and other South Asian nations, major termite species that constitute serious threat to earth dikes and dams include Odontotermes formosanus Shiraki, Macrotermitinae barneyi Light, Odontotermes hainanensis Light, and so on (Li et al., 1989a,b). These termite species construct gigantic nest systems below the ground, consequently endangering the safety of these dikes and dams. A termite nest system mainly consists of a principal nest (with a diameter of dozens of centimeters and even 1–2 m), many secondary nests, and numerous termite channels, which spread out in all directions, with some termite channels being linked up with the inner slope and outer slope of the dikes and dams (Fig. 6). Termite nests are generally built above the soakage line which is located at the normal water level, so would generally not endanger the safety of the hydraulic projects in periods of no flood. However, when flood comes and the water level rises abruptly, water would enter the termite channels from the upstream slope, which would result in concentrated leakage of water, and consequent collapse and even breach of dikes or dams in tens of minutes of time. These several species of termite build their nests at a depth of 0.5–3 m below the ground (generally 1– 2 m), and are active in an area with a radius varying from several meters to tens of meters. Even though traces of termite activities can be discovered on ground surface, the principal nest cannot be precisely located, even though its precise location is a key step to removal of hidden troubles to dikes and dams. Currently major means used for nest location cover the following: (1) Artificial location of group holes and major channels of termites, followed by excavation of the principal nest by trekking along the major termite channels (Li et al., 1989a,b). However, this method shows that some major shortcomings, for example, termite channels would be frequently covered by mud in the trekking process of excavation, which means loss of manual labor and damage of dikes or dams; (2) Use of insecticides to exterminate the whole nest of termites, after about a month, followed by finding a species of epiphyte named Xylaria nigripes (Ki) Saco, which would grow from the nest up to the ground surface. Based on the distribution of this epiphyte species on the ground surface, the principal nest can be located (Li et al., 1990, 2004). If Xylaria nigripes (Ki) Saco Fig. 5. The photo shows dangerous situations to a dike as caused by termite hazard. X. Xu et al. / Engineering Geology 111 (2010) 31–42 35 Fig. 6. Sketch showing damages to a dike or dam posed by termites. can grow up, if it can grow up to the ground surface, and how long it will take for the species to grow up to the ground surface, these all depend upon the moisture and temperature of the soil. This method proves to be satisfactory in regard to its application to dikes and dams in Guangdong and Fujian Provinces in south of China, but exhibits unsatisfactory results in Henan and Hubei Provinces in the centre of China; (3) Detection of termite nests using the method of audio frequency. First is to insert a detector into the soil, to determine the termite nest around the detector if sounds due to termite activities can be heard. This method can only be used to detect termite nests occurring at a burial depth of tens of centimeters, as it fails to detect nests which are buried at deeper depths and pose more serious damage to dikes and dams. Furthermore, the detection results are subject to influence of environmental noises. Because all these conventional methods for termite nest positioning show some shortcomings, new detection means have been explored and proposed in the past decades. The upper part of a termite nest is generally a cavum and the cavum is in contact with the upper soil through air. It is known that air and soil show a significant difference in relative dielectric constant, and the difference can be utilized for GPR detection of both nests for active termite population and empty nests left by termite population after their deaths. In order to explore if the GPR technique is effective for detection of termite nests, tests were carried out in six fields selected in Guangdong Province, where termite activity traces are displayed but the principal nests cannot be precisely located. Each test field selected has an approximate area of 100 m2, where the survey lines were laid out at an interval of 2 m. The test follows the following procedures: First of all two antennae each with a frequency of 500 MHz and 300 MHz were used respectively to detect each survey line, then each test field was excavated along sections, finally the results of excavation are compared with GPR images (Fig. 7). As demonstrated by the test results, the principal termite nests at the 6 test fields are all displayed vividly on GPR images. Here the GPR images were taken at both frequencies, with the GPR images taken with 500 MHz frequency showing better resolution, deeper detection depth and more satisfactory overall effect. As shown by the 500 MHz GPR images, the deepest principal termite nest is located at about 3.12 m below the ground surface, while the shallowest one is only 0.35 m below the ground surface. The detection range of nest depth covers almost all depths for nests of the several species of termites as discussed above, even some secondary nests and major termite channels located at a depth less than 1.5 m can be exhibited on the Fig. 7. Excavation of a termite nest along a vertical section as determined by GPR survey lines for corroboration. 36 X. Xu et al. / Engineering Geology 111 (2010) 31–42 Fig. 8. GPR images for termite nests and photos of excavation for corroboration purpose, with 500 MHz antenna. X. Xu et al. / Engineering Geology 111 (2010) 31–42 GPR images. Fig. 8 is a GPR image showing locations of the nests, flying waiting rooms and channels as well as a photo taken after the site is excavated for validation purpose. The GPR technique for detection of termite nests as developed here was introduced to Vietnam in 2004. In about one month after the introduction of the technique, the Center for Termite Control Research under Vietnam Institute for Water Resources Research applied the GPR technique to the Red River dike, and discovered more than 500 termite nests. The results of excavation demonstrate that the GPR judgment of termite nests is 89% correct, as the remaining 11% prove to be either stones or mice holes. This technique has also been applied in Henan Province and Guangxi Zhuang Autonomous Region in China, and proves to be highly effective in locating subterranean termite nests. 5. GPR detection of hidden troubles in rock-fill dam with sloping clay core The wall with sloping clay core is the only hydraulic structure used to prevent seepage for rock-fill dam, and any hidden troubles in this wall would pose serious threat to the safety of the entire dam, therefore, it is necessary to perform periodic survey about its safety. However, wall with sloping clay core is generally covered by concrete or masonry, which adds difficulty to its safety inspection. Generally the upper cover of the wall is chiseled to allow artificial observation through holes, each having a size of several square meters, only this method demands huge amount of work and obviously affects the normal operation of the hydraulic project, and moreover, the test data thus acquired is not comprehensive. In order to test the capability of the GPR technique for detection of wall with sloping clay core, the authors carried out a GPR test toward the dam for Nanshui reservoir in northern Guangdong Province. As a hydraulic project for hydropower generation, the Nanshui reservoir was constructed and started water storage in 1969, and has a total storage capacity of 13 × 108 m3. The principal dam for the reservoir is a rock-fill dam solidified with a sloping clay core, with a maximum crest height of 81.3 m. The dam structure consists of concrete cover, sand cushion, sloping core wall, anti-filter layer, rockfill and loose-stone, from its top to bottom (Fig. 9). The sloping clay core is generally constructed with screened ferralsol with high content of clay minerals. According to the data supplied by the reservoir management authority, the sloping clay core had been inspected several times by chiseling out part of the concrete cover for evaluating safety of the dam, and multiple cracks parallel to the river flow had been discovered. These cracks are 1–30 mm wide, several meters to tens of meters long, and are associated with fracture zones being several meters wide and less than 1 m deep in areas around the principal cracks. These cracks had been excavated, backfilled, and grouted under pressure. 37 GPR inspection was performed on the sloping clay core, which was divided into two parts, i.e., the part above the water level and the part below the water level, and antennae with two kinds of frequency were used respectively. In regard to the part above the water level, 300 MHz shield antenna was utilized to satisfy requirements for detection depth and resolution, while GPR survey lines were laid out parallel to the dam axis at an interval of 2 m. A work photo was shown in Fig. 10. In the process of detection, if there appears any anomaly in GPR images for the sloping clay core , then repeated detection would be performed on the anomalous site, so as to remove false phenomena resulted from bumping of GPR antenna or interference from ground objects. The results of repeated detection prove to be generally consistent with those acquired from previous detection. Fig. 11 is a GPR image for two scans performed on one profile, and shows that the differences between the two scans are minimal. Through the GPR detection, it was discovered from the GPR images that numerous linear anomalies being vertical to the dam surface and strong reflection areas at a depth less than 1.5 m occur in the sloping clay core. In half a month thereafter, the reservoir management authority sampled three sites showing linear anomaly (A, B and C in Fig. 12), with one area showing strong reflection (D in Fig. 12). The concrete cover of the area was subsequently chiseled out for validation, with each spot being excavated with a size of 2 × 2 m2. As shown by the results of validation, cracks were discovered at the three sites showing the linear anomaly, while a fracture zone was discovered in the area showing strong reflection, indicating that the linear anomaly and strong reflection were resulted respectively from the cracks and fracture zone. Excavation for the purpose of validation of GPR detection results was carried out in rainy season characterized by extremely high humidity. At the excavation sites, the authors found that cracks were closed due to soil expansion as affected by very high humidity at the fracture zone and one crack spot, while at the remaining two crack spots, cracks can be vividly seen inside the sloping clay core (Fig. 13). Obviously, insufficient number of sites was excavated for validation of the test results; this is simply because excavation was carried out right in the flood period when the reservoir showed rapid changes in water level, and the reservoir management authority proposed to limit the number of sites to be excavated for the sake of the reservoir safety. Fortunately, the results of validation are all consistent with the analytical results shown by the GPR images. Moreover, the sites showing anomaly were inspected repeatedly, so the anomalies as shown on the images would not be possibly resulted from antenna bumping or interference from ground objects. Therefore, it can be inferred that GPR technique is capable of detecting cracks in the sloping clay core. More explanations can be detailed as follows: (1) GPR technique is capable of detecting cracks. Numerous reports have been published in regard to detection of faults or cracks in Fig. 9. Structure of the major dam of the Nanshui reservoir in Guangdong Province. 38 X. Xu et al. / Engineering Geology 111 (2010) 31–42 Fig. 10. Photo showing GPR detection of sloping clay core in the Nanshui reservoir in Guangdong Province. rocks. A systematic test for detection of tiny cracks in rocks was completed by Tetsuma Toshioka et al., who once used antennae with frequencies at 100 MHz, 300 MHz, 500 MHz and 900 MHz to detect 26 tiny cracks, each 1–5 mm wide, in tuff, respectively, and the test results indicate that the detection depths are up to 4 m, 4 m, 2.7 m and 1.5 m respectively, with more than 50% of the cracks being successfully detected (Toshioka et al., 1995); (2) Soil used for constructing the sloping clay core underwent strict screening processes and generally shows homogeneous textures and small particle sizes, and the background shows little interference with electromagnetic reflection, which is all favorable for detection of cracks in the sloping clay core. In regard to the underwater part, the antenna with low frequency (50 MHz) was used for detection from water surface down to the underwater part, and several anomalies characteristic of collapse of the sloping clay core in underwater environment were discovered (Fig. 14). The effect of GPR detection underwater hydraulic structures had been detailedly introduced in another article (Xu et al., 2006). 6. GPR detection for common hidden troubles inside dams in karst regions Carbonate rocks (mainly limestone) are extensively distributed in China and the distribution area is as high as 3,440,000 km2, including a distribution area of about 910,000 km2 for exposed carbonate rocks (He and Zou, 1996). In south of China which is located in tropical and subtropical regions, dissolving of carbonate rocks is intense, so karst areas are extensively distributed, and this is particularly the case in southwest of China, where the area of the karst area is up to 430,000 km2, and the population in the karst regions exceeds 100,000,000 (Zhang et al., 2001). Most of the precipitation in the karst regions would flow away through underground leakage Fig. 11. Two GPR images for two detections at the same profile for comparison, with 300 MHz antenna. X. Xu et al. / Engineering Geology 111 (2010) 31–42 Fig. 12. GPR images showing cracks and a fracture zone in sloping clay core, as corroborated through excavation, with 300 MHz antenna. Fig. 13. Photos showing excavation of cracks inside a sloping clay core for corroboration. 39 40 X. Xu et al. / Engineering Geology 111 (2010) 31–42 Fig. 14. Anomalies discovered in underwater sloping clay core, with 50 MHz antenna. channels, which results in shortage of water resources on the ground surface. Despite the unfavorable geological conditions in the karst regions, a great number of reservoirs had been built in order to supply water to the local industry, agriculture and living by the residents. However, after these reservoirs were put into operation, leakage and associated mud removal would commonly occur and lead to occurrence of dangerous situations such as dam collapse, inhomogeneous settlement and cracking, and these dangerous situations would develop very fast if without control (Feng and Shen, 2005). Because the hydrogeological conditions in the karst regions are rather complicated, many reservoirs would show leakage and other dangerous situations even after repeated artificial treatment. As a result, timely discovery of hidden troubles buried inside dams proves to be necessary for effective measures to be taken, and for occurrence and development of dangerous situations to be prevented or controlled, which is significant for the safety operation of these reservoirs. GPR technique is good at detecting underground caves and settlements, so finding extensive applications in this field. In regard to the depth of GPR detection of homogeneous earth dam constructed with ferralsol, 50 MHz antenna capable of greater depth detection was used for several tests. Fig. 15 is a 50 MHz GPR image showing caves (or internal settlements) detected in the principal dam for the Heshui Fig. 15. GPR image showing caves or settlements (shown by arrows) inside a dam, with 50 MHz antenna. reservoir in Yangjiang City, Guangdong Province. Here strong signal is reflected from a cave located at a depth of around 15 m. Obviously, the maximum detection depth is greater than 15 m, and is estimated at around 20 m. Even though the GPR technique appears to be less capable of detecting deeply hidden troubles in earth dam with great height, it proves to be highly effective in detecting defects in numerous dams and dikes with low to moderate heights. In regard to reconnaissance of carbonate rocks, GPR detection depth can be remarkably increased as this kind of rocks generally show smaller conductivity, which is favorable for GPR application in geological reconnaissance in karst regions. An example of such application is detailed as follows: The Fengshuping reservoir is located in northern Guangdong Province and had been constructed and started water storage in the 1960s. The principal dam for this reservoir is a homogeneous earth dam with a maximum crest length of 194 m and a maximum crest height of 31 m. The dam foundation consists of Devonian strata, the left dam base and left bank consists of sandstone, while the right dam base and right bank consists of limestone (Fig. 16). Ever since formal operation of the reservoir, multiple accidents of collapse or settlement have occurred at the dam body, bank slope and reservoir base, yellow water mixed with mud frequently leaked at the foot of the anti-filter layer at the downstream slope of the dam, sometimes gushing out unsteadily, with a flux being up to 0.07–0.15 m3/s. Ever since the reservoir started water storage, dam body and dam base have been grouted for many times, only the problems of leakage and settlement cannot be completely solved. Based on the geological conditions of the dam, the authors laid out multiple profiles parallel to the dam axis, in an area extending from the middle of the dam to the slope base at the right side of the dam, for GPR detection with a 50 MHz antenna. Based on the GPR detection results, a strong reflection zone being more than 10 m wide and dozens of meters deep was discovered at the right side of the dam body, and extends from inside the reservoir to the outlet at the base of the downstream slope. Based on drilling and shallow seismic data, it can be inferred that this is a significant erosion zone, and could be the major channel for leakage of the reservoir. Based on our analytical results, the erosion zone was grouted with more than 870 tons of cement and clay (in dry weight). After the treatment was completed, gushing at the foot of the anti-filter layer disappeared quickly and the leakage was controlled for the first time. As shown in Fig. 17 for one of the GPR profiles, the scope of the erosion zone, the inclination of the rocks and the development of karst along the rock layers are clearly demonstrated. In addition, even though no noise treatment has been X. Xu et al. / Engineering Geology 111 (2010) 31–42 41 Fig. 16. Plan of the dam for the Fengshuping reservoir in Guangdong Province. performed on the data acquired, effective signals emitted at a depth of 30–40 m can still be recognized, illustrating that the 50 MHz antenna is capable of detecting limestone at a depth of 40 m or even greater. 7. Conclusions GPR technique was applied to detect termite nests inside dikes and dams, and satisfactory detection results were obtained in a real-time manner for nests populated by living termites and empty nests left by dead termites. Also GPR application seems to be less affected by terrain location or climatic features, so is preferred to other conventional methods for termite nest location. GPR technique proves to be effective in detecting cracks and fracture zones in the sloping clay core for dams, and is advantageous in posing less impact on the operation of hydraulic project, requiring only low detection cost, and in retrieving comprehensive detection data, when compared to the method of artificial sampling by chiseling out part of the cover. The low frequency (50 MHz) antenna is capable of detecting caves or settlements in ferralsol dams to a maximum depth of around 20 m, so can basically meet the requirements for detection of caves and Fig. 17. GPR image for a karst development area (see Fig. 16 for location), with 50 MHz antenna. 42 X. Xu et al. / Engineering Geology 111 (2010) 31–42 settlements in dams with low to moderate height in karst regions. The GPR technique using the 50 MHz antenna shows depth of detection up to tens of meters in carbonate rocks, and can yield high-resolution detection data, so proves to be applicable to geological reconnaissance of karst regions where dams with low to moderate height are to be built, and to locating leakage channels in completed reservoirs. Fast speed and high resolution of GPR detection enable it to be used for locating, monitoring and assessment of multiple hidden troubles inside hydraulic projects, no matter if they are above the water level or located in underwater areas. GPR technique is showing favorable prospect in safety monitoring of hydraulic projects, so deserving further research and development. Acknowledgements This study was supported by the National Natural Science Foundation of China (Project number 49171051), the Guangdong Natural Science Foundation (Project number 8151064004000006) and the Guangzhou Department of Science and Technology (Project number 2006Z3-D0331). 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