In Mt. Salak, there are six volcanic facies divided by eruption time seen from geomorphology data analysis and to identified the subsurface layer DC Resistivity method is applied. Beside resistivity, geostatistical parameters also influence the result model interpretation, so for obtain best model correlation parameters such as tilting, surfacing, variogram, grid method, and logarithmic distribution is applied. Using 18 points of acquisition data subsurface model is produce and then section model made to describe vertical resistivity distribution then correlated with facies lithology model. Based on that, produce three facies resistivity type namely: 0 – 100 Ohm.m (Low Resistivity Value) Interpreted as pyroclastic material composed as tuff and breccia that lies under lava. 100 – 300 Ohm.m (Medium Resistivity Value) Interpreted as breccia lithology type. Harder that pyroclastic material due to by this product is avalanches of lava. And >300 Ohm.m (High Resistivity Value) Interpreted as lava lithology that lies at high elevation and the hardest lithology in this area. From the model, pyroclastic layer that is modeled found at low elevation and based on the direction it described as oldest facies layer, but at the bottom of this layer lies high resistivity value that unknown product. It can be Mt. Pangrango product due to at low elevation predicted as combine area product from product of Mt. Salak and Pangrango. High resistivity value show lava lithology and lava facies located in high elevation and medium resistivity describe breccia lithology as avalanche product of lava (youngest pyroclastic facies) and found at 500 – 100 meters msl.
Daerah Warungmenteng dan sekitarnya secara administratif termasuk dalam wilayah Kecamatan Cijeruk, terletak pada lereng timur Gunung Salak merupakan salah satu kawasan yang masuk dalam zona potensi terjadi gerakan tanah tinggi hingga menengah. Penelitian ini bertujuan untuk mengklasifikasikan tingkat kerentanan gerakan tanah di Desa Warungmenteng dengan menggunakan metode Paimin (Paimin, 2006), yang didasarkan karakteristik fisik berupa kondisi geologi, kemiringan lereng, tataguna lahan dan curah hujan setempat. Terdapat tiga tingkat kerentanan gerakan tanah, yaitu agak rentan, rentan dan sangat rentan. Secara umum klasifikasi tersebut menunjukkan bahwa sebagian besar lokasi longsor memang berada pada daerah dengan tingkat kerentanan gerakan tanah sangat rentan. Kerentanan gerakan tanah di daerah penelitian dipengaruhi oleh kemiringan lereng dan litologi atau jenis tanah, serta curah hujan sebagai faktor pemicu terjadinya gerakan tanah.
This study focuses on the analysis of sedimentary facies and ichnogenus variations to determine the palaeogeographic setting of turbidite deposits that are clearly exposed in the surroundings of Majalengka area, West Java, Indonesia. Lithofacies variation in turbidite deposits, identified from detailed stratigraphic sections, were visually presented as a composite log and indicated a thickening and coarsening pattern due to a regressive event. Trace fossils exposed in all stratigraphic levels consist of Thalassinoides, Chondrites, Cruziana and Planolites. They are commonly found in a series of thin to medium bedded fine grained turbiditic sandstones intercalated with shales. Hereinafter, the integration analysis in between sedimentology and ichnology data, the sediment shed into the basin in the submarine channelized related to slope system. Such findings cast no doubt as to whether integrated sedimentary facies and ichnofacies analysis can be viewed as precise methods for sedimentary basin interpretation, in which external parameter, for example magmatic processes, also are considered to play a role.
The hydraulic parameters of porous media, such as porosity (φ) and hydraulic conductivity (K), are the most important factors for planning and managing water exploitation from aquifers. This study aims to estimate the hydraulic conductivity parameters using the geoelectric method on volcanic deposits on the northern slope of Mount Ciremai. For this purpose, four data types were used to estimate K and φ, including lithological profiles, water table, groundwater quality, pumping test data, and vertical electrical sounding (VES). Based on Archie's law and Kozeny's equation, we get the alpha (α) values and cementation factor (m) from which the median values of α = 1.01 and m = 1.36 represent the studied aquifer. The porosity (φ) of the aquifer varies from 0.097 to 0.187 with an average of 0.141 and is spatially related to the hydraulic conductivity (kgm), which varies from 4.97 × 10-6 to 6.75 × 10-5 m/s after the application of Kozeny's equation. The hydraulic conductivity (Kp) calculated from the pumping tests varies from 9.07 × 10-6 to 1.06 × 10-4 m/s and is strongly correlated (r = 0.87). Furthermore, a relation between resistivity and hydraulic conductivity was established for the studied aquifer to estimate these parameters in sites lacking data.
http://dx.doi.org/10.17014/ijog.vol1no3.20061Geologically the Batuceper and Benda Sub-Regencies belongs to the western part of the Jakarta Basin. The area is covered by coastal alluvial and delta deposits, and volcanic product. Understanding the distribution and groundwater pattern, either in the shallow part or the deep part, are of the basic thing for a geometric model and its groundwater fl ow in identifying the groundwater conservation. The result of the aquifer distribution, either in the shallow or the depth parts, was approached by the geoelectrical and hydrogeological surveys in the fi eld and well data that has resulted in aquifer distribution, either in the shallow or the deep parts. In general, the shallow aquifer developed downward becomes semi confi ned and confi ned aquifers. Groundwater fl ow pattern indicated local cones depression of groundwater level, especially around the city. Depression of groundwater level is considered to be related to the natural shape of aquifer as lences. However, it was possible to be caused by over pumping in this zone.
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