Investigation of Sidoarjo Mud Volcano (“LUSI”) Impact on the Subsurface using Geomagnetic Method at Sidoarjo District, Indonesia

Susilo Adi* and Sunaryo Sunaryo

Geomagnetic research has been conducted in Sidoarjo Mud Volcano (LUSI = Lumpur Sidoarjo, Sidoarjo Mud), Sidoarjo District, East Java, Indonesia. This mud volcano has a significant impact both on the surface, the environment and on subsurface conditions. The investigation and evaluation of the impact of subsurface structures are not widely known. Approximately 300 magnetic data were collected in the surrounding area of 3.5km x 3km. The data field measurement results are called total magnetic field anomaly ranging from -173.2 nT to 539.6 nT (nano Tesla). After all, corrections were made, the results of the residual anomaly were between -421.7 nT and 265.5 nT. Quantitative modeling/interpretation is done by connecting a pair of dipole grip (magnetic is a dipole, while gravity is a monopole).

There are three subsurface modeling sections: SP1N, SPN and SP2E. Susceptibility of rock modeling results shows ranges between -0.066 SI to 0.076 SI. The modeling results also indicate the presence of local fault lead Northwest to the Southeast and from Southwest to the Northeast. Local fault indications are located in the west and east of the study site at a depth of approximately 1.5 km below the surface. Through this local fault, it is possible that the mud can come out to the surface.

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Assessing sediment yield in Mahanadi basin using GIS and SWAT model

Acharya Rajashree and Samantaray Sandeep*

Assessing sediment yield in Mahanadi basin using GIS and SWAT model Abstract Longest earthen dam in Asia i.e. Hirakud dam has been affected by sedimentation problem which affects reservoir storage capacities and different reservoir operations. The actual survey is fulfilled with the aim of developing a trust worthy hydrologic model simulating stream flow discharge and sediment concentration with least uncertainty among the parameters picked out for calibration so as to verify the effect of the scenarios on the special distribution of sediment yield. This study presents the hydrological modelling of the Basantpur sub-basin in Mahanadi basin located in the State Odisha in India, using SWAT with an interface of Arc View geographic information system software to predict sediment transport to the reservoir for improving its useful life.

The study involves the analysis of sensitive parameters of the simulated data 4 years calibration and 4 years validation on daily basis to predict the discharge and sediment load. The analysis was carried out using statistical parameter. The results also show that the prediction of sediment yield is highly sensitive to the sizes of different sub- basin due to sensitivity of topographic factors used in the modified Universal Soil Loss Equation. Model calibration and Validation were performed on monthly time period basis.

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Prediction of Seismic Tremor Magnitude for Andaman-Nicobar Islands using Artificial Neural Network

Kamath R.S.* and Kamat R.K.

We report artificial neural network (ANN) model for anticipating the magnitude of seismic tremor for Andaman-Nicobar Islands. We have used the earthquake dataset derived from European-Mediterranean Seismological Center in this work. This work exhibits performance evaluation for various ANN configurations and neural network structures and compares the prediction accuracy. The reported investigations depict optimum ANN architecture achieved by tuning the parameters viz. network type, training function, transfer function and number of neurons in hidden neurons. ANN architecture, thus derived entails nonlinear sigmoid activation function for hidden layer and Levenberg-Marquardt back propagation method for training the model.

Moreover, the performance of the model is evaluated with reference to Mean Squared Error (MSE), Pearson Correlation Coefficient (r) and Gradient (g). Validation of the model has portrayed reasonably good prediction accuracy.

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Performance of self-compacting concrete using different waste materials and industrial by-products

Adil Dar M.*, Subramanian N., Dar A.R. and Taiyib A. Dar

Due to the versatility of concrete as a construction material, it is utilized in large quantities world over. The use of concrete leads to substantial depletion of natural resources, especially in the form of aggregates. Different waste materials as well as various industrial by-products, have enormous potential to replace such natural resources and restrain their unreasonable use to the point of depletion, thus maintaining sustainability. Self-compacting concrete (SCC) is a flowing concrete mixture that has the ability to consolidate under its own self-weight without undergoing large segregation. To check the feasibility of utilizing different waste materials and industrial by-products in concrete, extensive research has been carried out to develop high-quality and grade of SCC.

The present paper presents the recent advancements in developing SCC by utilizing different waste materials and industrial by-products. The paper reviews the influence of utilizing such waste materials as partial/complete replacement of aggregates/cement and the performance of SCC both at green as well as the hardened state.

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A review on groundwater investigations using remote sensing in India

Hasnat Mariya and Singh Priyamvada*

Groundwater systems are affected by human activities, global warming and climate changes, so there is a need to maintain the condition of its resources within the limits of sustainable development. The spatial information technology i.e. remote sensing and GIS play an ideal role to find out the problems of water resources and management. Geospatial technologies are cost effective, time saving and also provide interactive approaches to researcher. Remote Sensing and GIS play an important role for the analysis of groundwater at global, regional or local level. This study shows how the geospatial technique is useful for underground water exploration and its applications in different fields.

This paper presents a review on applications of remote sensing in groundwater. This review could not cover all of the publications related to groundwater but it gives a roadmap of studies available in literature. In the present review, first of all some basic concepts of remote sensing, GIS and groundwater are discussed very briefly. After that different techniques related to groundwater potential zones are discussed with suitable examples.

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