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Now showing items 1-20 of 33

Unveiling the multiscale teleconnection between Pacific Decadal Oscillation and global surface temperature using time-dependent intrinsic correlation analysis

Adarsh, S (Royal Meteorological Society, 2016-04-05)

Global surface temperature is significantly influenced by different climate forcings operating at specific time scales. This study investigates the association between global surface temperature and the Pacific Decadal ...
Analyzing the Hydroclimatic Teleconnections of Summer Monsoon Rainfall in Kerala, India, Using Multivariate Empirical Mode Decomposition and Time-Dependent Intrinsic Correlation

Adarsh, S (IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2016-09)

This letter presents an alternative approach for investigating the teleconnections of summer monsoon rainfall in the state of Kerala, India, with four prominent climatic oscillations in multiple time scales based on ...
Developing Short Term Drought Severity-Duration-Frequency Curves for Kerala Meteorological Subdivision, India Using Bivariate Copulas

Adarsh, S (KSCE Journal of Civil Engineering, 2017-11-08)

Severity-duration-frequency (S-D-F) curve is a useful hydrological tool for drought mitigation. This paper presents a bivariate copula approach for developing SDF relationships for Kerala meteorological subdivision, India ...
Scale dependent prediction of reference evapotranspiration based on Multi-Variate Empirical mode decomposition

Adarsh, S (Ain Shams Engineering Journal, 2018)

This study proposes a novel method for estimation of reference evapotranspiration (ETo) by accounting the time scale of variability using the Multivariate Empirical Mode Decomposition (MEMD). First the ETo and the four ...
Empirical forecasting and Indian Ocean dipole teleconnections of south–west monsoon rainfall in Kerala

Adarsh, S (Meteorology and Atmospheric Physics, 2018-06-25)

Rainfall is a vital hydrologic variable that has a direct and significant impact on the economic development of monsoondominated state of Kerala in southern India. An effective approach providing accurate prediction of ...
Evaluation of trends and predictability of short‐term droughts in three meteorological subdivisions of India using multivariate EMD‐based hybrid modelling

Adarsh, S (Hydrological Processes, 2018-10-17)

This paper presented trend analysis of droughts in Kerala, Telangana, and Orissa meteorological subdivisions in India and proposed a framework for drought prediction by employing the Empirical Mode Decomposition (EMD)‐based ...
Assessment of trace metal contamination and its anthropogenic influence in the sediments of an urban water body in Kozhikode, Kerala, India

Muhammed Siddik, A (Environmental Forensics, 2019-02-26)

Urban water bodies in India receive pollution loads from numerous sources. Identification of the polluter in such cases is a difficult process. An investigation of forensic nature is needed for this. The present study ...
Multifractal characterization of meteorological drought in India using detrended fluctuation analysis

Adarsh, S (International Journal of Climatology, 2019-03-07)

This study presents multifractal detrended fluctuation analysis (MF-DFA) to describe the multifractality of Standardized Precipitation Index (SPI) series from 30 meteorological subdivisions of India estimated at different ...
Modeling the concurrent impact of extreme rainfall and reservoir storage on Kerala foods 2018: a Copula approach

Adarsh, S; Muhammed Siddik, A (Modeling Earth Systems and Environment, 2019-08-26)

This study investigates the concurrent impact of reservoir storage and extreme rainfall on the devastating Kerala foods 2018 using Copulas. First, the efect of storage of four major reservoirs Idukki, Idamalayar, Kakki ...
Multiscale modelling of monthly streamflows using MEMD-GP coupled approach

Adarsh, S (International Journal of River Basin Management, 2019-08-27)

This study presented multiscale characterization of monthly streamflow time series using Multivariate Empirical Mode Decomposition (MEMD) and developed an innovative approach for streamflow prediction by coupling MEMD ...
Environmental forensic investigation of the air pollution from a cement manufacturing unit

Muhammed Siddik, A (2019-12-06)

Cement manufacturing is a process that results in the emission of significant quantities of suspended particulate matter (SPM) to the ambient air. An environmental forensic investigation was carried out in the surroundings ...
Drying and Atterberg limits of Cochin marine clay

Amal, Azad Sahib (INTERNATIONAL JOURNAL OF GEOTECHNICAL ENGINEERING, 2019-12-28)

Marine clays are reported to undergo an irreversible change in plasticity on drying. Various reasons such as the presence of halloysite and allophane minerals that change their structure, the presence of sesquioxides or ...
Online sequential extreme learning machine in river water quality (turbidity) prediction: a comparative study on different data mining approaches

Adarsh, S (Water and Environment Journal, 2020)

As a measure of water quality, water turbidity might be a source of water pol lution in drinking water resources. Henceforth, having a reliable tool for predicting turbidity values based on common water quantity/quality ...
An investigation on drought teleconnection with indian ocean dipole and el-nino southern oscillation for peninsular india using time dependent intrinsic correlation

Adarsh, S (IOP Conf. Series: Earth and Environmental Science, 2020)

Drought is an obscure climatic state that has socioeconomic repercussions on power generation, agricultural production, forestry, tourism and construction. In this study, an Ensemble Empirical Mode Decomposition (EEMD) ...
A Review on Fractal Analysis and its Applications in Structural Engineering

Adarsh, S (International Conference on Materials, Mechanics and Structures 2020 (ICMMS2020), 2020)

Fractals refer to rough or fragmented geometric shape in which each sub-section is a reduced-size copy of the whole. Its potential to describe the complex and irregular phenomena leads to wider applicability, and its ...
On the complexities of sediment load modeling using integrative machine learning: Application of the great river of Loíza in Puerto Rico

Adarsh, S (Journal of Hydrology, 2020-02-25)

Sediment transportation in water bodies may cause many problems for the water resources projects and damage the environment. Hence, modeling sediment load components, including suspended sediment load (SSL) and bedload ...
Adaptive EEMD-ANN hybrid model for Indian summer monsoon rainfall forecasting

Adarsh, S (Theoretical and Applied Climatology, 2020-03-18)

Forecasting of Indian summer monsoon rainfall (ISMR) is a complex problem for the hydrologists and meteorologists. The time series and data-driven methods have been used as complementary tools for forecasting ISMR against ...
Spatial downscaling of radar-derived rainfall field by two-dimensional wavelet transform

Adarsh, S (Hydrology Research, 2020-03-27)

Downscaling of rainfall fields, either as images or products of global circulation models, have been the motive of many hydrologists and hydro-meteorologists. The main concern in downscaling is to transform high-resolution ...
Multifractal description of daily rainfall fields over India

Adarsh, S (Journal of Hydrology, 2020-04-01)

This study investigated the scaling characteristics of daily rainfall time series over India and their spatio-tem poral variability using Multifractal Detrended Fluctuation Analysis (MF-DFA) method. In the study, fine re ...
Assessment of hydrogeochemical processes in the aquifers of Coimbatore city, India with special reference to nickel contamination

Priya, K L; Indu, M S; Adarsh, S (Groundwater for Sustainable Development, 2020-04-17)

Rapid industrialization of the city of Coimbatore in the recent past has imposed stress on groundwater resources, resulting in quantity depletion and quality deterioration. The present study aimed at evaluating the ...

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