Refine your search
Collections
Co-Authors
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Nandgude, S. B.
- Design, Development and Performance Evaluation of Small Scale Grey Water Treatment Plant
Abstract Views :203 |
PDF Views:0
Authors
Affiliations
1 Department of Irrigation and Drainage Engineering, College of Agricultural Engineering and Technology, Dapoli, Ratnagiri (M.S.), IN
2 Department of Soil and Water Conservation Engineering, College of Agricultural Engineering and Technology, Dapoli, Ratnagiri (M.S.), IN
1 Department of Irrigation and Drainage Engineering, College of Agricultural Engineering and Technology, Dapoli, Ratnagiri (M.S.), IN
2 Department of Soil and Water Conservation Engineering, College of Agricultural Engineering and Technology, Dapoli, Ratnagiri (M.S.), IN
Source
International Journal of Agricultural Engineering, Vol 11, No 2 (2018), Pagination: 335-338Abstract
The design, development of grey water system was done by using locally available filtration and adsorbent media and its performance was evaluated. The media size and depth decided by experiment were sand (0.42 mm), grit (6-8 mm), gravel (15-25 mm), brick pieces (25-30 mm) and charcoal (12-16 mm) (Zainudin and Abundi, 2011) having layer thickness of 450 mm, 450 mm, 150 mm, 300 mm and 30 mm, respectively.The hydraulic retention time (HRT) of designed filter was 1.33 hours at hydraulic loading rate of (HLR) of 3.77 m day-1. The filtration area of one square meter would have capacity of 3770 lit.day-1.At steady state head of 1.5 m, the overall performance of the combined systemwas 82.70 per cent BOD removal, 85.10 per cent COD removal, 78.78 per cent oil and grease removal, 69.23 per cent residual sodium carbonate removal (RSC), 21.33 per cent reduction in sodium adsorption ratio (SAR) and 31.19 per cent TDS removal, respectively, were noted. The pH of the entire system remained stable (7.32 ± 0.5) throughout the experiment. The calcium, bicarbonate, potassium, nitrogen, magnesium, sodium, were also reduced after filtration by 20, 44.82, 48.76, 5.55, 33.33, 31.42 per cent, respectively. Generally, the final effluent was found to be suitable for a range of uses such as toilet flushing, irrigation and fire protection.Keywords
Grey Water, Grey Water Filter, Hydraulic Retention Time, Filtration Area.References
- Amerasinghe, D., Bhardwaj, R.M., Scott, C., Jella, K. and Marshall, F. (2013). Urban waste water and agriculture reuse challenges in India36: IWMI Research Report 147,pp.1-2
- Amarsinghe.,U.A., Shah, T.,Turral, H. and Anand., B.K. (2007). India’s water future to 2025-2050.business as usual scenario and deviations. Research report 123, IWMI,52pp.
- Blanca, Jimenez (2006). Irrigation in developing countries using wastewater, Internat. Rev. Environ. Strategies, 6 (2) : 229 - 250.
- Friedler, E. (2004). Quality of individual domestic grey water streams and its implications for on-site treatment and reuse possibilities. Environ. Technol., 25 : 997-1008.
- Miguntana, N.S., Jayalath, C.P.G., Kariyawasam, C., Prerera, H.A.K.C., Sriwarnasinghe, S.M. and Wijerathna, W.M.R.I. (2014). Use of bricks as an alternative filter media for pebble matrix filters (PMF).SAITM research symposium on engineerin advancement, pp.116-118.
- Mohamed, R.M.S.R., Chan, C.M., Senin, H. and Kasim, A.H.M. (2014). Feasibility of direct filtration over peat filter media for bathroom grey water treatment. J.Mater.Environ. Sci., 5(6) : 2021-2029.
- Zainudin, Naji and Abundi (2011). The effect of sand filter characteristics on removal efficiency of organic matter from grey water. Al-Qadisiya J. Engg. Sci., 4 (2) : 143-149.
- Performance of ANN for Rainfall-Runoff Prediction
Abstract Views :193 |
PDF Views:0
Authors
Affiliations
1 Department of Soil and Water Conservation Engineering, College of Agricultural Engineering and Technology, Dr. Balasaheb Sawant Konkan Krishi Vidyapeeth, Dapoli (M.S.), IN
1 Department of Soil and Water Conservation Engineering, College of Agricultural Engineering and Technology, Dr. Balasaheb Sawant Konkan Krishi Vidyapeeth, Dapoli (M.S.), IN
Source
International Journal of Agricultural Engineering, Vol 12, No 1 (2019), Pagination: 112-117Abstract
The use of artificial neural network is becoming increasingly common in the analysis of hydrology and water resource problems. In present study, the observed rainfall and runoff data of four years (2010, 2011, 2013 and 2014) were used as input data. In ANN, input data was divided in three segment 70 per cent, 15 per cent and 15 per cent for training, validation and testing purpose, respectively. Rainfall-runoff relationship is an important component in water resource evaluation and therefore, the predicted runoff of 70 numbers of different types of model was tested statistically with observed runoff using statistical parameter, i.e. ischolar_main mean square error (RMSE), mean absolute error (MAE), co-efficient of determination (R2) and correlation (r). This study showed that out of 70 ANN architectures, ANN architectures 1-48-1 could be adopted to estimate runoff from ungauged watershed with rainfall as input.Keywords
ANN, Rainfall-Runoff Modeling, Co-Efficient of Determination, Correlation.References
- Anonymous (2000). ASCE task committee on application of the artificial neural networks in hydrology. Artificial Neural Network in Hydrology II; Preliminary Concepts. J. Hydrologic Engineering, 5 (2): 124-137.
- Junsawang, P., Asavanant, J. and Lursinsap, C. (2005). Artificial neural network model for rainfall-runoff relationship. Advanced Virtual and Intelligent Computing Center (AVIC). Department of Mathematics, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand.
- Mehendale, G. M. (2013). Study of rainfall runoff relationship using SCS-CN and ANN models for Bench Terraces, Dapoli. M. Tech Thesis, Dr. Balasaheb Sawant Konkan Krishi Vidyapeeth, Dapoli, M.S. (India).
- Rumelhart, D. and McClelland, J. (1986). Parallel distributed processing. MIT Press, Cambridge.
- Salunke, J.R. (2013). Rainfall- runoff modelling of Priyadarshini watershed using artificial neural network. B. Tech. Thesis, Dr. Balasaheb Sawant Konkan Krishi Vidyapeeth, Dapoli, M.S. (India).