Characterization of active and closed landfill sites using 2D resistivity/IP imaging: case studies in Penang, Malaysia

Abdulrahman, Abdullahi; Nawawi, Mohd; Saad, Rosli; Abu-Rizaiza, Asad; Yusoff, Mohd Suffian; Khalil, Amin Esmail; Ishola, K. S.

doi:10.1007/s12665-015-5003-5

Cited by 27 publications

(8 citation statements)

References 42 publications

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“…Average monthly rainfall may reach up to 240 mm, and is not usually lower than 58.6 mm (Pradhan and Lee 2010). Measured resistivity in the area varied from 0 to 6000 Ωm, depending on the nature of materials and degree of saturation (Abdulrahman et al 2016).…”

Section: Study Areamentioning

confidence: 99%

Linear regression models for estimating true subsurface resistivity from apparent resistivity data

Muhammad

Saad

2018

J Earth Syst Sci

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Simple linear regression (SLR) models for rapid estimation of true subsurface resistivity from apparent resistivity measurements are developed and assessed in this study. The objective is to minimize the processing time and computer memory required to carry out inversion with conventional algorithms. The arrays considered are Wenner, Wenner-Schlumberger and dipole-dipole. The parameters investigated are apparent resistivity (ρ a) and true resistivity (ρ t) as independent and dependent variables, respectively. For the fact that subsurface resistivity is nonlinear, the datasets were first transformed into logarithmic scale to satisfy the basic regression assumptions. Three models, one each for the three array types, are thus developed based on simple linear relationships between the dependent and independent variables. The generated SLR coefficients were used to estimate ρ t for different ρ a datasets for validation. Accuracy of the models was assessed using coefficient of determination (R 2), F-test, standard error (SE) and weighted mean absolute percentage error (wMAPE). The model calibration R 2 and F-value are obtained as 0.75 and 2286, 0.63 and 1097, and 0.47 and 446 for the Wenner, Wenner-Schlumberger and dipoledipole array models, respectively. The SE for calibration and validation are obtained as 0.12 and 0.13, 0.16 and 0.25, and 0.21 and 0.24 for the Wenner, Wenner-Schlumberger and dipole-dipole array models, respectively. Similarly, the wMAPE for calibration and validation are estimated as 3.27 and 3.49%, 3.88 and 5.72%, and 5.35 and 6.07% for the three array models, respectively. When compared with standard constraint least-squares (SCLS) inversion and Incomplete Gauss-Newton (IGN) algorithms, the SLR models were found to reduce about 80-96.5% of the processing time and memory space required to carry out the inversion with the SCLS algorithm. It is concluded that the SLR models can rapidly estimate ρ t for the various arrays accurately.

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Section: Study Areamentioning

confidence: 99%

Linear regression models for estimating true subsurface resistivity from apparent resistivity data

Muhammad

Saad

2018

J Earth Syst Sci

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“…The measurement proceeds automatically and is controlled by a computer/laptop. Details of this method can be found in the work of [31][32][33][34].…”

Section: Hydro-geophysical Approachmentioning

confidence: 99%

Hydrostratigraphic Characterisation of Shallow Coastal Aquifers of Eastern Dahomey Basin, S/W Nigeria, Using Integrated Hydrogeophysical Approach; Implication for Saltwater Intrusion

et al. 2020

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This study employed electrical resistivity tomography (ERT) in characterising the shallow groundwater aquifers of Eastern Dahomey basin in southwestern Nigeria to assess the possible occurrence and distribution of saltwater within the aquifers. Electrical resistivity tomography (ERT), induced polarization (IP) and borehole logging were carried in locations with relatively enhanced electrical conductivity (EC) within the coastal zone of the basin through 97 groundwater samples from shallow wells and boreholes; 500 m-length ERT and IP sections were carried out along three traverses A–B, C–D and E–F in directions perpendicular and parallel to the coastline. Three geoelectrical layers were identified along traverse line A–B which comprises cross-sections 1, 2, 3 and 4 located around Ugbonla, Aboto and Igbokoda with layers’ resistivity and chargeability values ranging from (1–1000, 33–200 and 1–1700 Ωm), and (−50–200 Ωm, −30–200 Ωm and −50–120 Ωm, respectively, from the top to the bottom layer. These values indicated unconsolidated sand/lateritic silty clay, underlain by a sandy/silty clay layer with underlying fine-grained sand with disseminated clay lenses. The average thickness of the first two layers was 16 and 53 m while that of the third layer was undetermined. Resistivity and chargeability results from ERT and IP cross-sections along profile C–D exhibited characteristics similar to that of profile A–B with unconsolidated sands which were underlain by intercalation of sandy/silty clay and fine-grained sands with suspected clay lenses saturated with saline water. Profile E–F revealed a geoelectrical layer with low resistivity which ranged from 1–30 Ωm with the corresponding chargeability between −150–400 ms. This indicated a saline water-saturated layer of fine-grained sand and silty clay which is overlaid by the unconsolidated unconfined freshwater aquifer. Correlation of selected ERT results with borehole logs further affirmed the suspected lithology from the sections. Two scenarios of saltwater intrusions into coastal freshwater aquifer were suggested which include the presence of trapped salt-saturated clay lenses within aquifer lithology and seawater incursion induced by over-drafting of groundwater in this basin.Therefore, it identified the need for further investigation which will involve a combination of hydrochemical and isotopes to further understand the paleowater hypothesis.

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“…Dalam penelitian ini telah dilakukan survey terhadap kedalaman zona pelindian, serta kedudukannya terhadap muka air tanah, untuk mengetahui potensi bahaya yang diakibatkan dari adanya zona pelindian tersebut. Lapisan lindi memiliki nilai resistivitas rendah (< 10Ω.m) dan nilai chargeability yang rendah pula (< 20 ms) (Abdulrahman, dkk. 2016).…”

Section: Pendahuluanunclassified

Identification of Leaching Zone in Pasirimpun Dump Station, West Java, Indonesia Using Resistivity and Induced Polarization Method

Nugraha¹,

Ilmanto

Jonathan

et al. 2018

JGF

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The presence of dump stations around resident's houses besides resulting air pollution, it is also affecting the cleanliness of water used by society to meet their daily needs. Location where we researched is at ex-Pasirimpun Dump Station, Karang Pamulang Village, Kecamatan Cicadas, Bandung. Although Pasirimpun Dump Station has been closed and turned function into Taman Abdi Negara, it is feared that there is a water pollution caused by leach zone. Geophysical measurements by geoelectric method are performed to prove the leaching zone. This study aims to determine the depth of the leaching zone, its position against the groundwater level, and what potential harm can caused by the leaching zone. The methodology that is used are direct observation, interviews, and literature studies. Our measurements is done by using schlumberger configuration and Induced Polarization (IP) method on morphology that tend to be flat with a length of 141 meters stretch and a space of 3 meters. Groundwater faces are mapped to be correlated with the depth of the existing leaching zone. The result of measurement is processed by using Res2dinv (demo version), Resmod and Surfer 9. From the results of literature studies, there is a leaching zone in the area with a depth of about 30 meters. By knowing this leaching zone, we hope that there will be cooperation between government and society to avoid the impacts of leaching zone on the water which they consumed. One way to know, is to drill deeper water level from the leach zone.

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Characterization of active and closed landfill sites using 2D resistivity/IP imaging: case studies in Penang, Malaysia

Cited by 27 publications

References 42 publications

Linear regression models for estimating true subsurface resistivity from apparent resistivity data

Linear regression models for estimating true subsurface resistivity from apparent resistivity data

Hydrostratigraphic Characterisation of Shallow Coastal Aquifers of Eastern Dahomey Basin, S/W Nigeria, Using Integrated Hydrogeophysical Approach; Implication for Saltwater Intrusion

Identification of Leaching Zone in Pasirimpun Dump Station, West Java, Indonesia Using Resistivity and Induced Polarization Method

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