Informatics Publishing Limited

J. S. Sudarsan ¹, V. T. Deeptha ¹, Deepak Maurya ¹, Mukesh Goel ², K. Ravi Kumar ², Ashutosh Das ²

Affiliations
1 Department of Civil Engineering, SRM University, Kattankulathur-603 203, T. N., IN
2 Centre for Environmental Engineering, PRIST University, Thanjavur-613 403, T. N., IN

Abstract

Electroplating waste with very high concentration of metals and COD has always been posing a great challenge for treatment in an environmental-friendly way. The present study attempts at use of constructed wetland in treating electroplating waste. Three types of wetland setups were used in the study, namely: single wetland cell, two-wetland cells in cascade and single wetland cell with adsorbent bed for varying hydraulic detention times (2 days, 4 days and 6 days) in batch mode. The percentage removal of all metals was found to be more than 80%. The effect of varying detention time was not found to improve the removal efficiency in all the three cells varying modes of treatment, thus indicating 2 days to be optimum detention time. The mode of set-up of the wetland cells (i.e., with cascading and with augmented adsorbents) was not found to be statistically significant compared to treatment using single-isolated wetland cell unit, based on ANOVA test for two-factors, i.e., chemical speciation and wetland cell-setup types.

Keywords

Constructed Wetland, Electroplating Wastewater, Heavy Metals, Hydraulic Detention Time.

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Ajit Kumar ¹, Ashutosh Das ², Mukesh Goel ², K. Ravi Kumar ², B. Subramanyam ³, J. S. Sudarsan ¹

Affiliations
1 Department of Civil Engineering, SRM University, Kattankulathur, Kanchipuram, T. N., IN
2 Centre for Sustainable Development, PRIST University, Thanjavur, T. N., IN
3 School of Civil Engineering, SASTRA University, Thanjavur-613 401, T. N., IN

Abstract

Discharge of untreated domestic wastewater often leads to eutrophication of receiving water body and create a septic condition, and accelerate sewage sickness in case of land-disposal. However, since domestic wastewater is recognized as nutrient rich water, the recovery of nutrients using a chemical precipitation and crystallization technique may provide value added product struvite, which is a slow releasing fertilizer. This research work shows the techno-feasibility struvite precipitation as an attempt for improving water quality, with simultaneous recovery of struvite as byproduct.

Keywords

Domestic Wastewater, Recovery of Nutrients, Struvite.

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J. S. Sudarsan ¹, Deeptha Thattai ¹, Umang K. Shah ¹, Anant Mitra ¹

Affiliations
1 Department of Civil Engineering, SRM University, Kattankulathur, Chennai – 603203, Tamil Nadu, IN
2 Department of Civil Engineering, SRM University, Kattankulathur, Chennai – 603203, Tamil nadu, IN

Abstract

Background/Objectives: The assessment of turbulence parameters is important for understanding the heat, momentum exchange and pollutant dispersion at any given site. Methods/Analysis: Continuous micrometeorological data were collected at SRM University, Kattankulathur (12o 48’ N to 12o 49’ N; 80o 02’ E to 80o 03’ E) a sub-urban area near Chennai by a 16 m meteorological mast. Data with conventional sensors were obtained for wind, temperature, and humidity from August 2010 to March 2015. Findings: The gradient observations were analyzed to explore the atmospheric surface layer parameters and were used in atmospheric dispersion modeling. Wind and temperature data were analyzed to understand their diurnal and seasonal variations. The Inter-relationships of temperature and wind pattern were discussed and the diurnal variations of temperature and wind profile were plotted for a particular month during study period to assess the Climate pattern ofa particular study period. This study may play a vital role in atmospheric modeling and also in space vehicle launching.

Keywords

Micrometeorological Data, Turbulence Parameters, Wind Energy.

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Fahad Sheikh ¹, S. Karthick ¹, D. Malathi ², J. S. Sudarsan ³, C. Arun ¹

Affiliations
1 Department of Software Engineering, SRM University, Kattankulathur, Chennai - 603203, Tamil Nadu, IN
2 Department of Computer Science and Engineering, SRM University, Kattankulathur, Chennai - 603203, Tamil Nadu, IN
3 Department of Civil Engineering, SRM University, Kattankulathur, Chennai - 603203, Tamil Nadu, IN

Abstract

Background/Objectives: To forecast weather, which is one of the greatest challenges in meteorological department. Weather prediction is necessary so as to inform people and prepare them in advance about the current and upcoming weather condition. This helps in reduction in loss of human life and loss of resources and minimizing the mitigation steps that are expected to be taken after a natural disaster occurs. Methods/Statistical analysis: This study makes a mention of various techniques and algorithms that are likely to be chosen for weather prediction and highlights the performance analysis of these algorithms. Various other ensemble techniques are also discussed that are used to boost the performance of the application. Findings: After a comparison between the data mining algorithms and corresponding ensemble technique used to boost the performance, a classifier is obtained that will be further used to predict weather. Applications: Used to Predict and forecast the weather condition of specific region based on the available pre historical data which helps to save resources and prepare for the changes forth coming.

Keywords

Data Mining, Decision Tree, Ensemble Technique, Pre-Processing, Weather Prediction.

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