Version-1 (Nov-Dec-2012)
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| Paper Type | : | Research Paper |
| Title | : | Ability of Box-Jenkins Models to Estimate of Reference Potential Evapotranspiration (A Case Study: Mehrabad Synoptic Station, Tehran, Iran) |
| Country | : | Iran |
| Authors | : | Mohammad Valipour |
| : |
ABSTRACT:The evapotranspiration rate has a vital role in agricultural water management. In this paper, ability
of Box-Jenkins models in forecasting the reference potential evapotranspiration is estimated. For this purpose
meteorological data of Mehrabad synoptic station in Tehran was selected. Using this data and according to
eight famous evapotranspiration equations amounts of evapotranspiration were forecasted by Box-Jenkins
models. Equations of reference potential evapotranspiration that used in this study include: FAO Penman
Monteith (FPM), FAO Blaney Criddle (FBC), Turc, FAO Radiation Macking (FRM), Priestley Taylor (PT),
Hargreaves Samani (HS), Thornthwaite (TW), and Corrected Jensen Haise (CJH). A box-Jenkins model has
found a widespread application in many practical sciences. In addition, evapotranspiration forecasting is done
by some methods such as remote sensing, genetic algorithm, and artificial neural networks. On the other hand,
application of both Box-Jenkins models simultaneously in order to compare their ability in forecast of
evapotranspiration has not been carried out in previous researches. Therefore, this paper attempts to forecast
the evapotranspiration and meteorological data by using Box-Jenkins models while increasing the number of
parameters in order to increase the forecast accuracy to five parameters and comparing them. By comparing
root mean square error of the models, it was determined that Box-Jenkins models are appropriate approaches
to evapotranspiration forecasting..
Key words:Box-Jenkins models, evapotranspiration, meteorological data
Key words:Box-Jenkins models, evapotranspiration, meteorological data
[1] Alexandris, S., P. Kerkides and A. Liakatas, 2006. Daily reference evapotranspiration estimates by the "Copais" approach,
Agricultural Water Management, 28(3), pp: 371–386. DOI: http://dx.doi.org/10.1016/j.agwat.2005.08.001
[2] Alexandris, S. and P. Kerkides, New empirical formula for hourly estimations of reference evapotranspiration Agricultural Water
Management, 60(3), pp: 157–180. DOI: http://dx.doi.org/10.1016/S0378-3774(02)00172-5
[3] Balaguer, E., A. Palomares, E. Sorie and J.D. Martin-Guerrero, 2008. Predicting service request in support centers based on
nonlinear dynamics, ARMA modeling and neural networks. Expert Systems with Applications, 34(1), pp: 665–672. DOI:
10.1016/j.eswa.2006.10.003
[4] Bois, B., P. Pieri, C. Van Leeuwen, L. Wald, F. Huard, J.-P. Gaudillere and E. Saur, 2008. Using remotely sensed solar radiation
data for reference evapotranspiration estimation at a daily time step, Agricultural and Forest Meteorology, 148(4), pp: 619–630.
DOI: http://dx.doi.org/10.1016/j.agrformet.2007.11.005
[5] Box, G.E.P., G.M., Jenkins, 1976. Series Analysis Forecasting and Control. Prentice-Hall Inc., London.
[6] Casa, R., G. Russell, B. Lo Cascio, 2000. Estimation of evapotranspiration from a field of linseed in central Italy, Agricultural and
Forest Meteorology, 104(4), pp: 289–301. DOI: http://dx.doi.org/10.1016/S0168-1923(00)00172-6
[7] Chenoweth, T., K. Dowling, R., Hubata and R. Louis, 2004. Automatic ARMA identification using neural networks and the
extended sample autocorrelation function: a reevaluation. Decision Support Systems, 29, pp: 21-30. DOI: http://dx.doi.org/10.1016/S0167-9236(00)00058-0
[8] Chenoweth, T., K. Dowling, R., Hubata, and R. Louis, 2004. Distance and prediction error variance constraints for ARMA model
portfolios. International Journal of Forecasting, 20, pp: 41-52. DOI: http://dx.doi.org/10.1016/S0169-2070(03)00006-2
[9] Cryer, D. and J.C. Kung-Sik, 2008. Time Series Analysis: With Applications in R, 2nd Ed. Springer, ISBN: 0387759581
[10] Douglas, E.M., J.M Jacobs, D.M., Sumner and R.L. Ray, 2009. A comparison of models for estimating potential evapotranspiration for Florida land cover types, Journal of Hydrology, 373(3-4), pp: 366–376. DOI: http://dx.doi.org/10.1016/j.jhydrol.2009.04.029
Agricultural Water Management, 28(3), pp: 371–386. DOI: http://dx.doi.org/10.1016/j.agwat.2005.08.001
[2] Alexandris, S. and P. Kerkides, New empirical formula for hourly estimations of reference evapotranspiration Agricultural Water
Management, 60(3), pp: 157–180. DOI: http://dx.doi.org/10.1016/S0378-3774(02)00172-5
[3] Balaguer, E., A. Palomares, E. Sorie and J.D. Martin-Guerrero, 2008. Predicting service request in support centers based on
nonlinear dynamics, ARMA modeling and neural networks. Expert Systems with Applications, 34(1), pp: 665–672. DOI:
10.1016/j.eswa.2006.10.003
[4] Bois, B., P. Pieri, C. Van Leeuwen, L. Wald, F. Huard, J.-P. Gaudillere and E. Saur, 2008. Using remotely sensed solar radiation
data for reference evapotranspiration estimation at a daily time step, Agricultural and Forest Meteorology, 148(4), pp: 619–630.
DOI: http://dx.doi.org/10.1016/j.agrformet.2007.11.005
[5] Box, G.E.P., G.M., Jenkins, 1976. Series Analysis Forecasting and Control. Prentice-Hall Inc., London.
[6] Casa, R., G. Russell, B. Lo Cascio, 2000. Estimation of evapotranspiration from a field of linseed in central Italy, Agricultural and
Forest Meteorology, 104(4), pp: 289–301. DOI: http://dx.doi.org/10.1016/S0168-1923(00)00172-6
[7] Chenoweth, T., K. Dowling, R., Hubata and R. Louis, 2004. Automatic ARMA identification using neural networks and the
extended sample autocorrelation function: a reevaluation. Decision Support Systems, 29, pp: 21-30. DOI: http://dx.doi.org/10.1016/S0167-9236(00)00058-0
[8] Chenoweth, T., K. Dowling, R., Hubata, and R. Louis, 2004. Distance and prediction error variance constraints for ARMA model
portfolios. International Journal of Forecasting, 20, pp: 41-52. DOI: http://dx.doi.org/10.1016/S0169-2070(03)00006-2
[9] Cryer, D. and J.C. Kung-Sik, 2008. Time Series Analysis: With Applications in R, 2nd Ed. Springer, ISBN: 0387759581
[10] Douglas, E.M., J.M Jacobs, D.M., Sumner and R.L. Ray, 2009. A comparison of models for estimating potential evapotranspiration for Florida land cover types, Journal of Hydrology, 373(3-4), pp: 366–376. DOI: http://dx.doi.org/10.1016/j.jhydrol.2009.04.029
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| Paper Type | : | Research Paper |
| Title | : | Effect of Moisture Content on Some Physical Properties of Moringa Oleifera Seed |
| Country | : | Nigeria |
| Authors | : | Adejumo, B. A., Abayomi, D. A |
| : | 10.9790/2380-0151221 ![]() |
ABSTRACT:The effect of moisture content on some physical properties of shelled and unshelled Moringa Oleifera
seed was investigated at 6.8%, 10%, 15% moisture content (wet basis). The mean values of the physical
properties of the seeds were determined as length 8.3 – 8.7 mm and 12.7 – 13.4 mm, width 7.4 – 7.6 mm and
10.3 – 11.0 mm, thickness 6.5 – 7.3 mm and 10.4 – 10.9 mm, geometric mean diameter 133.1 – 160.1 mm and
453.5 – 535.6 mm, sphericity 16.0 – 18.4 mm and 35.7 – 40.0 mm, thousand seed mass 316.8 – 326.7g and
318.3 – 329.3g, bulk density 0.031 – 0.032 g/cm and 0.041 – 0.047 g/cm³, true density 0.221 – 0.632 g/cm³ and
0.300 – 0.289 g/cm³, porosity 85.9 – 94.9% and 86.3 – 83.7%, surface area 3.19 – 2.21 cm³ and 3.56 – 5.32
cm³ for shelled and unshelled seeds respectively. The coefficient of friction as measured on glass was 0.466 –
0.445% and 0.510 – 0.404%, sheet metal 0.425 – 0.466% and 0.481 – 0.547%, plywood 0.740 – 0.597% and
0.525 – 0.594% for shelled and unshelled seeds respectively. The physical properties of the seeds increased with
increase in moisture content but porosity however, decreased. This information will provide engineers and
designer the relevant data for efficient process handling and equipment design.
Key words:Moisture content, Moringa Oleifera, physical properties, shelled, unshelled
Key words:Moisture content, Moringa Oleifera, physical properties, shelled, unshelled
[1] Folkard, G. K. And J. P. Sutherland, (1996). Moringa oleifera a tree and a litany of Potential: In Agroforestry Today, July –
September, 1996 edition.
[2] http://www.moringasource.com/moringa. Moringa tree of life. Date accessed 1/9/2012
[3] Sampson, W. (2005). Studying herbal remedies. New England Journal of Medicine 353(4): 337- 339.
[4] Monzon, R. B (1995). Traditional medicine in the treatment of parasitic diseases in the Philippines. Southeast Asian Journal of
Tropical Medicine and Public Health 26(3): 421-428.
[5] ECHO (1996). Moringa Recipies. Echo Technical Note. Educational Concerns for Hunger Organization.,N.Ft.Meyers,FL.
URL:http://www.echotech.org/technical/technotes/MoringaR.pdf.
[6] Barminas, J. T. and M. Charles (1998). Mineral composition of non-conventional leafy vegetables. Plant Foods for Human
Nutrition Dordrecht 53(1): 29-36.
[7] Esref, I. and Halil, U. (2007). Moisture-dependent physical properties of white speckled red kidney bean grains. Journal of Food
Engineering, 82, 209–216.
[8] Irtwange, S. V. and J. C. Igbeka. (2002). some physical properties of two African yam bean (Sphenostylis stenocarpa) accessions
and their interrelations with moisture content. Applied Engineering in Agriculture, 18(5), 567-576.
[9] Kachru, R. P., R. K. Gupta and A. Alam (1994). Physico-Chemical constituents and Engineering properties of food crops. Jodhpur
Scientific Publishers. Bansai, Jodhpur. India. Loading Machine", The Nigerian Engineer, Vol. 25, No. 4, pp. 26–31.
[10] Deshpande, S. D., S. Bal and Ojha T.P. (1993). Physical properties of soybean. Journal Agricultural Engineering Research, 56:
89-98
September, 1996 edition.
[2] http://www.moringasource.com/moringa. Moringa tree of life. Date accessed 1/9/2012
[3] Sampson, W. (2005). Studying herbal remedies. New England Journal of Medicine 353(4): 337- 339.
[4] Monzon, R. B (1995). Traditional medicine in the treatment of parasitic diseases in the Philippines. Southeast Asian Journal of
Tropical Medicine and Public Health 26(3): 421-428.
[5] ECHO (1996). Moringa Recipies. Echo Technical Note. Educational Concerns for Hunger Organization.,N.Ft.Meyers,FL.
URL:http://www.echotech.org/technical/technotes/MoringaR.pdf.
[6] Barminas, J. T. and M. Charles (1998). Mineral composition of non-conventional leafy vegetables. Plant Foods for Human
Nutrition Dordrecht 53(1): 29-36.
[7] Esref, I. and Halil, U. (2007). Moisture-dependent physical properties of white speckled red kidney bean grains. Journal of Food
Engineering, 82, 209–216.
[8] Irtwange, S. V. and J. C. Igbeka. (2002). some physical properties of two African yam bean (Sphenostylis stenocarpa) accessions
and their interrelations with moisture content. Applied Engineering in Agriculture, 18(5), 567-576.
[9] Kachru, R. P., R. K. Gupta and A. Alam (1994). Physico-Chemical constituents and Engineering properties of food crops. Jodhpur
Scientific Publishers. Bansai, Jodhpur. India. Loading Machine", The Nigerian Engineer, Vol. 25, No. 4, pp. 26–31.
[10] Deshpande, S. D., S. Bal and Ojha T.P. (1993). Physical properties of soybean. Journal Agricultural Engineering Research, 56:
89-98
- Citation
- Abstract
- Reference
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ABSTRACT:Fishing is activity which is rarely carried out all alone and is often required management system
which has to be formed between people and community. In the present study, five villages around the Loktak
lake of Manipur were selected by adopting a case study cum survey method to analyse the fisheries management
system existing in the Loktak lake and the problems faced by the fishers in the region during fishing. After
catching the fishes, the fishers marketed it immediately to the middlemen either in fresh condition or in
processed form as there is no icing facility for storage. Smoking of fishes using the local wood such as Sahi and
Kui were found to be the main mode of preservation. Gear and craft mainly operating in the Loktak lake
consisted of gill nets and dugout canoes respectively. It was observed that banned seasons are so far does not
exist in Loktak lake. Using Rank Based Quotient techniques, the problems of the fishermen were analysed.
Strong waves leading to the movement of the phum was reported as the major problem. The construction of
Ithai barrage on Loktak lake leads to the reduction in fish productivity.
Key words:barrage, fisheries, gear, management, survey
Key words:barrage, fisheries, gear, management, survey
[1] FAO, 2010. World review of fisheries and aquaculture. In: The state of world fisheries and aquaculture 2009. FAO, Rome, pp. 3-87.
[2] Anon, 2006. Indian Fisheries Resources and Production. In: Handbook of fisheries and Aquaculture. Published by Indian Council of
Agricultural Research, New Delhi, ISBN: 81-7164-061-3: pp.1- 31.
[3] Department of Fisheries, Govt. of Manipur, 2009-2010
[4] H.T. Singh, 1991a. Study on the biology and Culturable Possibilities of the Indegenous fishes of Manipur, Osteobrama belangiri
and Monopterus albus Technical Report, ICAR, New Delhi.
[5] H.T. Singh, 1993. Impact of Loktak National Hydroelectric project on the Environment of Manipur. Technical Report, Department
of Science, Technology and Environment, Government of Manipur.
[6] P.K. Biaklun, A. Ngangbam, and N. Basavaraja, 2009. Status of aquaculture and fisheries in Manipur. Fishing Chimes, 29(1):102-
104.
[7] H.T. Singh, and R. K. Singh, 1994. Ramsar sites of India Loktak lake of Manipur. Published by World Wide Fund For Nature,
India.
[8] V.E Sabarathanam, 1988. Manuals of Field Experience Training for ARS Scientists. Hyderabad: NAARM.
[2] Anon, 2006. Indian Fisheries Resources and Production. In: Handbook of fisheries and Aquaculture. Published by Indian Council of
Agricultural Research, New Delhi, ISBN: 81-7164-061-3: pp.1- 31.
[3] Department of Fisheries, Govt. of Manipur, 2009-2010
[4] H.T. Singh, 1991a. Study on the biology and Culturable Possibilities of the Indegenous fishes of Manipur, Osteobrama belangiri
and Monopterus albus Technical Report, ICAR, New Delhi.
[5] H.T. Singh, 1993. Impact of Loktak National Hydroelectric project on the Environment of Manipur. Technical Report, Department
of Science, Technology and Environment, Government of Manipur.
[6] P.K. Biaklun, A. Ngangbam, and N. Basavaraja, 2009. Status of aquaculture and fisheries in Manipur. Fishing Chimes, 29(1):102-
104.
[7] H.T. Singh, and R. K. Singh, 1994. Ramsar sites of India Loktak lake of Manipur. Published by World Wide Fund For Nature,
India.
[8] V.E Sabarathanam, 1988. Manuals of Field Experience Training for ARS Scientists. Hyderabad: NAARM.
