Navin K. C. Twarakavi  Navin K. C. Twarakavi photo         

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Research Scientist
IBM Research
  

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Professional Associations

Professional Associations:  American Geophysical Union  |  IEEE


2020

DOWNSCALING WEATHER FORECASTS
Mehtab Syed, Yeon Taewon, Toporov Alexander, Twarakavi Navin, Boezaart Ruan
2020
Abstract   weather forecasting, downscaling, meteorology, environmental science, high resolution


2018

Evaluating the capabilities of Sentinel-2 and Tetracam RGB+3 for multi-temporal detection of thrips on capsicum
Jayantrao D. Mohite, Arvind Gauns, Navin Twarakavi, Srinivasu Pappula
Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping III10664, 2018
Abstract   multispectral image, hyperspectral imaging, spectroradiometer, rgb color model, random forest, ranging, lasso, remote sensing, mathematics, reflectivity

Evaluating the Potential of Sentinel-2 for Low Severity Mites Infestation Detection in Grapes
Jayantrao Mohite, Navin Twarakavi, Srinivasu Pappula
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, pp. 4651-4654
Abstract   hyperspectral imaging, feature selection, random forest, mite, lasso, spectroradiometer, infestation, image resolution, remote sensing, mathematics


2015

Biopores from mole crickets (Scapteriscus spp.) increase soil hydraulic conductivity and infiltration rates
David L. Bailey, David W. Held, Ajay Kalra, Navin Twarakavi, Francisco Arriaga
Applied Soil Ecology94, 7-14, 2015
Abstract   scapteriscus borellii, mole cricket, scapteriscus, scapteriscus vicinus, soil horizon, infiltration, soil water, orthoptera, agronomy, botany, environmental science


2012

Experimental Investigation of Water Flow through Hydrophobic Soils
N. Twarakavi, H. Saito, A. Kalra
AGUFM2012
water flow, soil water, environmental chemistry, environmental science

Using Pacific Ocean Sea Surface Temperatures to Improve Lead Time for Streamflow Estimates
A. Kalra, S. Ahmad, N. K. Twarakavi
AGU Fall Meeting Abstracts2012
streamflow, lead time, climatology, environmental science, pacific ocean


2010

A coupled modeling approach to incorporate vadose-zone flow and solute transport in ground water models
Navin Kumar Twarakavi, Jirka Simunek
EGUGA, 2010
vadose zone, groundwater, flow, soil science, environmental science

INVERSE MODELING OF VADOSE ZONE FLOW PROCESSES USING SQUARED -INSENSITIVITY LOSS FUNCTION
Navin Twarakavi, Hirotaka Saito, Jirka Simunek, M. Van Genuchten
Journal of Hydrology and Hydromechanics 58(3), 188-200, 2010
Abstract   residual, inverse problem, hydraulic conductivity, observational error, nonlinear system, inverse, vadose zone, outlier, applied mathematics, mathematical optimization, engineering

Can texture-based classification optimally classify soils with respect to soil hydraulics?
Navin K. C. Twarakavi, Jirka Simunek, M. G. Schaap
Water Resources Research 46(1), 2010
Abstract   pedotransfer function, unified soil classification system, soil texture, soil map, soil gradation, digital soil mapping, soil physics, soil water, soil science, geotechnical engineering, mathematics


2009

Experimental Investigation of impact of variability in macropore structure in soils on saturated flow and solute transport
Y. Jin, N. C. Twarakavi
AGU Fall Meeting Abstracts2009
macropore, soil water, soil science, environmental science, saturated flow

Reply to "Comment on Evaluating Interactions between Groundwater and Vadose Zone Using the HYDRUS-based Flow Package for MODFLOW" by Navin Kumar C. Twarakavi, Jirka Simunek, and Sophia Seo
Navin Kumar C. Twarakavi, Jirka Simunek, Sophia Seo
Vadose Zone Journal 8(3), 820-821, 2009
Abstract   vadose zone, modflow, hydrus, groundwater, hydrology, geology, flow

Selected HYDRUS modules for modeling subsurface flow and contaminant transport as influenced by biological processes at various scales
Jirka Simunek, Diederik Jacques, Navin K. C. Twarakavi, Martinus Th. van Genuchten
Biologia 64(3), 465-469, 2009
Abstract   water flow, subsurface flow, hydrus, soil contamination, soil classification, environmental science, environmental engineering, polluted soils

Development of Pedotransfer Functions for Estimation of Soil Hydraulic Parameters using Support Vector Machines
Navin K. C. Twarakavi, Jirka Simunek, M. G. Schaap
Soil Science Society of America Journal 73(5), 1443-1452, 2009
Abstract   pedotransfer function, hydraulic conductivity, mean squared error, support vector machine, artificial neural network, soil water, statistical learning theory, soil science, mathematical model, mathematics, hydrology

An objective analysis of the dynamic nature of field capacity
Navin K. C. Twarakavi, Masaru Sakai, Jirka Simunek
Water Resources Research 45(10), 2009
Abstract   field capacity, richards equation, soil water, pressure head, soil physics, vadose zone, flux, saturation, soil science, geotechnical engineering, mathematics


2008

A New Approach to Estimate Soil Hydraulic Parameters Using Only Soil Water Retention Data
Navin K. C. Twarakavi, Hirotaka Saito, Jirka Simunek, M. Th. van Genuchten
Soil Science Society of America Journal 72(2), 471-479, 2008
Abstract   pedotransfer function, water retention curve, hydraulic conductivity, water content, soil water, estimator, soil science, geotechnical engineering, mathematics, distribution model, soil parameters

Evaluating Interactions between Groundwater and Vadose Zone Using the HYDRUSBased Flow Package for MODFLOW
Navin Kumar C. Twarakavi, Jirka Simunek, Sophia Seo
Vadose Zone Journal 7(2), 757-768, 2008
Abstract   groundwater model, modflow, vadose zone, groundwater recharge, groundwater flow, personal computer, water table, groundwater, hydrology, geology

An Objective Analysis of Support Vector Machine Based Classification for Remote Sensing
Thomas Oommen, Debasmita Misra, Navin K. C. Twarakavi, Anupma Prakash, Bhaskar Sahoo, Sukumar Bandopadhyay
Mathematical Geosciences 40(4), 409-424, 2008
Abstract   linear classifier, contextual image classification, supervised learning, support vector machine, statistical learning theory, robustness, multispectral image, test data, data mining, computer science, remote sensing


2006

Influence of Spatial Scales on the Performance of Saturated Subsurface Flow and Transport Models
Navin K. C. Twarakavi, Debasmita Misra, Muddu Sekhar
2006 Portland, Oregon, July 9-12, 2006
Abstract   temporal scales, subsurface flow, finite difference, finite element method, discretization, scaling, mechanics, geotechnical engineering, saturation, geography, saturated flow

Prediction of Arsenic in Bedrock Derived Stream Sediments at a Gold Mine Site Under Conditions of Sparse Data
Navin K. C. Twarakavi, Debasmita Misra, Sukumar Bandopadhyay
Natural resources research 15(1), 15-26, 2006
Abstract   gold mining, kriging, support vector machine, outlier, arsenic, artificial neural network, soil science, bedrock, groundwater, mining engineering, environmental science

Arsenic in the Shallow Ground Waters of Conterminous United States: Assessment, Health Risks, and Costs for MCL Compliance
Navin Kumar C. Twarakavi, Jagath J. Kaluarachchi
Journal of The American Water Resources Association 42(2), 275-294, 2006
Abstract   arsenic contamination of groundwater, maximum contaminant level, arsenic, pollution, water resources, risk assessment, aquifer, regression analysis, hydrology, environmental science, environmental protection

Sustainability of ground water quality considering land use changes and public health risks
Navin K.C. Twarakavi, Jagath J. Kaluarachchi
Journal of Environmental Management 81(4), 405-419, 2006
Abstract   land use, sustainability, natural resource, vulnerability, aquifer, urbanization, water quality, environmental planning, agriculture, environmental protection, environmental science


2005

Aquifer vulnerability assessment to heavy metals using ordinal logistic regression
Navin K.C. Twarakavi, Jagath J. Kaluarachchi
Ground Water 43(2), 200-214, 2005
Abstract   aquifer, hydraulic conductivity, groundwater, maximum contaminant level, ordered logit, land use, elevation, hydrology, environmental science, heavy metals


2004

Modeling arsenic occurrence in western United States using ordinal logistic regression analysis
Navin Kumar C. Twarakavi, Jagath J. Kaluarachchi
2004
ordered logit, statistics, econometrics, arsenic, geography

Aquifer vulnerability to arsenic contamination in the Conterminous United States: Health risks and economic implications
N. C. Twarakavi, J. J. Kaluarachchi
AGUFM2004
arsenic contamination of groundwater, water resource management, environmental planning, environmental science, aquifer vulnerability

Predicting the Probability of Occurrence of Heavy Metals in Ground Water Using Ordinal Logistic Regression
Navin Kumar C. Twarakavi, Jagath J. Kaluarachchi
World Water and Environmental Resources Congress 2004, 1-10
Abstract   population, maximum contaminant level, contamination, ordered logit, aquifer, groundwater, mercury, variables, soil science, hydrology, geography