Venkataraman Lakshmi

affiliation not provided to SSRN

No Address Available

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

7

DOWNLOADS

269

TOTAL CITATIONS

0

Scholarly Papers (7)

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1.

Assessment of Groundwater Resources in the Sand River Catchment, South Africa Using Hydrological Modeling and Catchment Water Balance Approaches

Number of pages: 41 Posted: 23 Jun 2023
Sophia A. Bakar, Venkataraman Lakshmi and David Murray Kahler
affiliation not provided to SSRN, affiliation not provided to SSRN and Duquesne University
Downloads 61 (773,612)

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Groundwater Resources Management, Limpopo River Basin, Hydrological Modeling, Remote Sensing, Evapotranspiration

2.

Introducing a New Clustering-Based Method for Self-Calibrating Continental-Scale Rainfall Estimates from Soil Moisture Dynamics Using Machine Learning Methods

Number of pages: 40 Posted: 23 Jan 2025
Mohammad Saeedi, Hyunglok Kim and Venkataraman Lakshmi
affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 52 (837,621)

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Soil moisture, Rainfall, SM2RAIN-NWF, Self-calibration, Supervised clustering, Unsupervised clustering

3.

Understanding Flood Dynamics in the Indus River Basin: Lessons from the 2022 Pakistan Deluge

Number of pages: 60 Posted: 07 May 2024
Aashutosh Aryal, Kyung Y. Kim and Venkataraman Lakshmi
University of Virginia, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 49 (861,400)

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Indus Basin, Pakistan, 2022 Flood, Hydroclimatic Variables, Satellite data, Flood Assessment

4.

Predicting Groundwater Withdrawals Using Machine Learning with Limited Metering Data: Assessment of Training Data Requirements

Number of pages: 32 Posted: 13 Mar 2025
Dawit Wolday Asfaw, Ryan Smith, Sayantan Majumdar, Katherine Grote, Bin Fang, Blake B. Wilson, Venkataraman Lakshmi and James J. Butler
Colorado State University, Fort Collins, Colorado State University, Fort Collins, Desert Research Institute, Missouri University of Science and Technology, affiliation not provided to SSRN, University of Kansas - Kansas Geological Survey, affiliation not provided to SSRN and University of Kansas - Kansas Geological Survey
Downloads 31 (1,034,219)

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Groundwater pumping, irrigation, Remote sensing, Machine learning, field-scale

5.

Simultaneous Estimation of Soil Moisture and Soil Organic Matter from Dielectric Measurements - Part 1: Optimal Estimation Strategy

Number of pages: 32 Posted: 02 Apr 2025
Chang-Hwan PARK, Ankur R. Desai, Jingyi Huang, Andreas Colliander, Hyunglok Kim, Thomas Jagdhuber, Venkataraman Lakshmi, Michael H. Cosh, Aaron Berg and Jean-Pierre Wigneron
Ajou University, University of Wisconsin-Madison, University of Wisconsin-Madison, Government of the United States of America - Jet Propulsion Laboratory, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, USDA Agricultural Research Service, University of Guelph and affiliation not provided to SSRN
Downloads 28 (1,068,459)

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Carbon Sequestration, Optimal Estimation, Dielectric Mixing Model, Soil Mostiure, Soil Organic Matter, Prescision Agriculture

6.

Simultaneous Estimation of Soil Moisture and Soil Organic Matter from in Situ Dielectric - Part 2: Application of Optimal Estimation and Machine Learning Approaches

Number of pages: 35 Posted: 02 Apr 2025
Chang-Hwan PARK, Ankur R. Desai, Jingyi Huang, Hyunglok Kim, Thomas Jagdhuber, Andreas Colliander, Jinkyu Hong, Venkataraman Lakshmi, Aaron Berg and Jean-Pierre Wigneron
Ajou University, University of Wisconsin-Madison, University of Wisconsin-Madison, affiliation not provided to SSRN, affiliation not provided to SSRN, Government of the United States of America - Jet Propulsion Laboratory, Yonsei University, affiliation not provided to SSRN, University of Guelph and affiliation not provided to SSRN
Downloads 26 (1,092,139)

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carbon sequestration, carbon farming, smartfarm, soil moisture, soil organic matter, machine learning

7.

Enhancing Hydrological Predictions: Choosing Optimal Combinations of Rainfall Datasets and Autocalibration Techniques for Swat+ Flow Simulations

Number of pages: 41 Posted: 30 Jul 2024
Mahesh Ramesh Tapas, James Etheridge, Thanh-Nhan-Duc Tran, Manh-Hung Le, Brian Hinckley, Tam Van Nguyen and Venkataraman Lakshmi
East Carolina University, East Carolina University, University of Virginia, affiliation not provided to SSRN, East Carolina University, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 22 (1,141,225)

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Hydrological Modeling, Soil and Water Assessment Tool Plus (SWAT+), Satellite Precipitation Products (SPPs), Autocalibration Techniques, Performance Indices