• 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 ...
• Air quality in five major cities of India induced by the COVID-19 pandemic lockdown 

  Priya, K L; Adarsh, S (TOXICOLOGICAL & ENVIRONMENTAL CHEMISTRY, 2021)

  This discussion paper looks into the COVID-19 induced lockdown on the air quality of the five most polluted cities in India. There were significant reductions in the concentrations of particulate matter, 2.5 mm and ...
• Modeling future irrigation water demands in the context of climate change: a case study of Jayakwadi command area, India 

  Adarsh, S (Modeling Earth Systems and Environment, 2020-08-30)

  In the present study, the downscaled future climate data from the General Circulation Model (GCM), CanESM2 has been used to calculate the monthly crop water requirements of the major crops cultivated in the Jayakwadi command ...
• Advanced extreme learning machines vs. deep learning models for peak wave energy period forecasting: A case study in Queensland, Australia 

  Adarsh, S (Renewable Energy, 2021-12-12)

  The peak period of an energy-generating wave is one of the most important parameters that describe the spectral shape of the oceanic wave, as this indicates the duration for which the waves prevail with respect to their ...
• 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 ...
• 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 ...
• 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 ...
• 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 ...
• A novel approach for predicting daily pan evaporation in the coastal regions of Iran using support vector regression coupled with krill herd algorithm model 

  Adarsh, S (Theoretical and Applied Climatology, 2020-07-13)

  Evaporation is one of the vital components of hydrological cycle. Precise estimation of pan evaporation (Epan) is essential for the sustainable water resources management. The current study proposed a novel approach to ...
• 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) ...
• 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 ...
• 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 ...
• 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 ...
• 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 ...
• Spatiotemporal variability of multifractal properties of fneresolution daily gridded rainfall felds over India 

  Adarsh, S (Natural Hazards, 2021-01-15)

  This study investigated the multifractal characteristics of fne resolution (0.25o x0.25°) daily gridded rainfall felds of India over the period 1901–2013 to examine their spatiotemporal variability. The scaling ...
• Hybridized Deep Learning Model for Perfobond Rib Shear Strength Connector Prediction 

  Adarsh, S (Complexity, 2021)

  Accurate and reliable prediction of Perfobond Rib Shear Strength Connector (PRSC) is considered as a major issue in the structural engineering sector. Besides, selecting the most significant variables that have a major ...
• 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 ...
• 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 ...
• 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 ...
• Ranking of gridded precipitation datasets by merging compromise programming and global performance index: a case study of the Amu Darya basin 

  Adarsh, S (Theoretical and Applied Climatology, 2021-03-12)

  Accurate representation of precipitation over time and space is vital for hydro-climatic studies. Appropriate selection of gridded precipitation data (GPD) is important for regions where long-term in situ records are ...

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