Evaporation modeling with multiple linear regression techniques– a review

Authors

  • Parameshwar Sidramappa Shirgure Sr Scientist (Soil and Water Cons Engg.) National Research Centre for Citrus (ICAR) P O Box 464, Shankarnagar PO, Nagpur (M S) - 440 010 India

Keywords:

Evaporation, Evaporation modeling, Multiple linear regression

Abstract

Evaporation is influenced by number of agro-meteorological parameters and one of the integral components of the hydrological cycle and. Usually, estimates of evaporation are needed in a wide array of problems in agriculture, hydrology, agronomy, forestry and land resources planning, such as water balance computation, irrigation management, crop yield forecasting model, river flow forecasting, ecosystem modeling. Irrigation can substantially increase crop yields, but again the scheduling of the water application is usually based on evaporation estimates. Numerous investigators developed models for estimation of evaporation. The interrelated meteorological factors having a major influence on evaporation have been incorporated into various formulae for estimating evaporation. Unfortunately, reliable estimates of evaporation are extremely difficult to obtain because of complex interactions between the components of the land-plant-atmosphere system. In hot climate, the loss of water by evaporation from rivers, canals and open-water bodies is a vital factor as evaporation takes a significant portion of all water supplies. Even in humid areas, evaporation loss is significant, although the cumulative precipitation tends to mask it due to which it is ordinarily not recognized except during rainless period. Therefore, the need for reliable models for quantifying evaporation losses from increasingly scarce water resources is greater than ever before. Accurate estimation of evaporation is fundamental for effective management of water resources. The evaporation models using MLR techniques is discussed her in details.

References

Abtew, W., 2001. Evaporation estimation for Lake Oskeechobee in South Florida. J. Irri. Drain. Engg. ASCE. 127 (3) , 140 –147. Alshaikh, A., 1998. Analysis of evaporation data as affected by climatic factors in arid regions. Water and Land Resources Development and Management for Sustainable Use. Vol. II-A. The Tenth ICID Afro-Asian Regional Conference on Irrigation and Drainage, Denpasar, Bali, Indonesia, 19-26 July 1998. A-27, 9 –10. Baier, W., Robertson, G.W., 1965. Evaluation of meteorological factors influencing evaporation. J. Hydrology. 45 ,276 – 284. Bhakar, S.R., 2000. Modelling of evaporation and evapotranspiration under climatic conditions of Udaipur. PhD Thesis. Maharana Pratap University of Agriculture. Dept. of Soil and Water Engineering, C. T. A. E. Udaipur. pp 358. Brutsaert, W., 1982. Evaporation into the atmosphere: Theory, history, and application. D. Reidel, 299 pp. Cahoon, J.E., Cosfello, T.A., Ferguson, J.A., 1991. Estimation of pan evaporation using limited meteorological observations, Agriculture and Forest Met,. 55, 181-190. Chandra, A., Shrikhande, V.J., Kulshreshta, R., 1988. Relationship of pan evaporation with meteorological parameters. J. Indian Water Reso. Soc. 8 (2), 41- 44. Chattopadhyay, N., Hulme, M., 1997. Evaporation and potential evapotranspiration in India under conditions of recent and future climate change. Agriculture and Forest Met. 87 (1), 55-73. Chin, D.A., Zhao, S., 1995. Evaluation of evaporation-pan networks. J Irri. Drain. Engg. ASCE 121(55), 338 – 346. Chiong, S.H., Lo A.K.F., Liu, E.T.H., Chiang, Y.C., 1990. Assesment of normal monthly evaporation in Taiwan. J. Geophysical Sci. 14, 29-39. Christiansen, J.F., 1968. Pan evaporation and evapotranspiration from climatic data. J. Irri.Drain. Div. Proc. ASCE 94(2), 243 – 265. Doyle, P., 1990. Modelling catchments evaporation: an objective comparison of the Penman and Morton application. J Hydrology 121(1-4), 257 – 276. Eissa, M.M., Abou-Hadid, A.F., El-Beltagy, A.S., Omarn., 1991. Relationship between class ‘A’ pan evaporation and water vapour pressure deficit under plastic house conditions. Egyptian J. Horticulture. 18 (2), 131 – 139. Flilho, M., Deo, A., De, M., Ridiero, N.G., 1986. Evaporation from a class A pan and its relation to climatic parameters. Acta Amazonica. 16/17 (1), 263-275.

Giambelluca, T.A., Nullet, D., 1992. Evaporation at high elevations in Hawaii. J. Hydrology. 136(1-4),219 – 235. Gupta, A.P., Singh, J., 1990. Frequency analysis of climatological data for irrigation planning. IE(I) Agril. Engg. J. 71(8), 31-33. Gupta, R.K., Kumar, R., 1994. Stochastic analysis of weekly evaporation values. Indian J. Agril. Engg. 4(3-4),140 – 142. Gupta, M., 2003. Modelling of evaporation under different climatic conditions of India. M. E. Thesis. Maharana Pratap University of Agriculture. Dept. of Soil and Water Engineering, C. T. A. E. Udaipur. pp. 166. Hanson, C.L., Frank, 1977. Class A pan evaporation as affected by Shelter and daily prediction equations. Agril. Met. 17, 28-35. Hanson, C.L., 1989. Prediction of class A pan evaporation in Southwest Idaho. J. Irrig. Drain. Engg., ASCE, 115 (2) , 166-171. Hargreaves, G.H., 1968. Consumptive use derived from evaporation pan data. J. Irri. Drain. Div. Proc. ASCE. 94(1), 97 – 105. Hope, A.S., Evans, S.M., 1992. Estimating reference evaporation in the central valley of California using the Linacre Model. Water Reso. Bull. 2894, 695-702 Hordofa, T., 2003. Modeling of evaporation over Ethopia. Ph.D. Thesis. Maharana Pratap University of Agriculture. Dept. of Soil and Water Conservation Engineering, CTAE. Udaipur. pp. 298. Hordofa, T., Sharma, A., Singh, R., Dashora, P.K., 2004. Influence of meteorological variables on monthly pan evaporation under sub-humid climate conditions of Ethopia. Ind. J. Soil Cons., 32 (1), 1-4. Iruthayaraj, M.R., Morachan, Y.B., 1978. Relationship between evaporation and meteorological parameters. Agril. Met. 19, 93-100. Jhajharia, D., Kithan, S.B., Fancon, A.K., 2006. Correlation between pan evaporation and metrological parameters under the climatic conditions of Jorhat (Assam). J. of Indian Water Resources, 26 (1-2), 39-42. Khanikar, P.G., Nath, K.K., 1998. Relationship of open pan evaporation rate with some important meteorological parameters. J. Agril. Sci. Soc. N - E India 11 (1), 46-50. Kisi, O., 2004. Multilayer perceptrons with Levenberg-Marquardt training algorithm for suspended sediment concentration prediction and estimation. Hydrol. Sci. J. 49 (6), 1025-40. Kirono, D.G.C., Roger N.J., 2007. A bivariate test for detecting inhomogeneities in pan evaporation time series. Aust. Met. Mag. 56 , 93-103. Krishana, A., Kushwaha, R.S., 1973. A multiple regression analysis of evaporation during the growing season on vegetation in the arid zone of India. Agril. Met. 12, 298-307. Kumar, K.K., Chandola, D.Y., Rastogi, A., 2000. Comparison of probability distribution for analysis of data. Indian J. Soil Cons,. 28 (2), 110 – 116. Lian, G.S., Bolle, H.J., Feddes, R.A., Kalma, J.D., 1993. Estimation of soil, lake and catchment evaporation by either physical or climatic approach methods. Exchange processes at the land surface for a range of space and time scales: Proceedings of International Symposium held at Yokohama, Japan, 13-16 July., 89-95 Linacre, E.T., 1977. A simple formula for estimating evaporation rates in various climates, using temperature data alone. Agril. Met., 18, 409-424. Linacre, E.T., 1994. Class ‘A’ pan evaporation from few climatic data. Water Inter., 19 (1), 5 – 14. Martinez-Cob, A., 1996. Multivariate geostatistical analysis of evapotranspiration and precipitation in mountainous terrain. J. Hydrology. 174(1-2), 19-35 Mishra, K.K., Mishra, S.K., Agrawal, S.H., 2004. An easy approach towards frequency analysis in Vindhyan plateau of Madhyapradesh. J. IE. 85, 26-32 Ozturk, F., Apaydin, H., 1998. Estimating pan evaporation from limited meteorological observations from Turky. Water International. 23 (3), 184 – 189. Paruleo, J.M., Aguiar, M.R., Gollauscio, R.A., 1991. Evaporation estimates in arid environments. Agriculture and Forest Met. 55, 127-132. Prasad, R., Sinha, S.P., 1996. Estimation of pan evaporation with meteorological parameters. J. Applied. Bio,. 6 (1-2) , 86-88. Richard, D.C., Brutsaert, W., 1992. A comparison of several evaporation equations. Water Reso. Res. 28 (3), 951- 954. Sahoo, P.K., Mohan, S., 1995. Stochastic modelling of weekly evapotranspiration series. J. Applied Hydrology. 8(1- 4), 67 – 82.

Sahu, D.D., Pandya, H.R., Dixit S.K., 1994. Annual and seasonal affects of meteorological and associated parameters on evaporation. Gujarat Agri. Univ. Res. J., 19 (2), 82-86. Satpute, G.U., 2004. Characterization of drought under different agro-climatic zones of Maharashtra. PhD Thesis. Maharana Pratap University of Agriculture. Dept. of Soil and Water Engineering, C. T. A. E. Udaipur. pp.184 Senapati, P.C., Mishra, N., Lal, R., 1985. Relationship between pan evaporation and meteorological parameters at Bhubaneshwar (Orissa). J. Indian Water Reso. Soc. 5, 27-32. Sharma, M.K., 1995. Estimation of pan evaporation using meteorological parameters. Hydrology. J. 18 (3-4), 1-9. Shrivastava, S.K., Misra, S.K., Sahu, A.K., Bose, D., 2000. Correlation between pan evaporation and climatic parameters for Sunderbans – A case study. IE(I) Journal – AG. 81, 55-58. Shrivastava, S.K., Sahu, A.K., Dewangan, K.N., Mishra, S.K., Upadhyay, A.P., Dubey, A.K., 2001. Estimating pan evaporation from meteorological data for Jabalpur. Indian J Soil Cons., 29 (3), 224-228. Singh, R.V., Chauhan, H.S., Ali, A.B.M., 1981. Pan evaporation as related to meteorological parameters. J. Agri. Engg., 18 (1), 48 – 53. Singh, R., Bishnoi, O.P., Ram, N., 1992. Relationship between evaporation from class ‘A’ open pan evaporimeter and meteorological parameters at Hisar. Haryana Agri. Univ. J. Res. 22 (2), 97 – 98. Singh, R., Prakash, O., Khicher, M.L., Singh, R., Prakash, O., 1995. Estimation of evaporation from different meteorological parameters Annals Arid-Zone, 34 (4), 263-265. Singh, V.P., Xu, C.Y., 1997a. Evaluation and generalization of 13 mass-transfer equations for determining free water evaporation. Hyd. Processes, 11, 311 – 323. Singh, V.P., Xu, C.Y., 1997b. Sensitivity of mass transfer-based evaporation equations to errors in daily and monthly input data. Hyd. Processes, 11, 1465 – 1473. Trajkovid, S., Vladimir, S., 2008. Simple daily Eto estimation techniques. Architecture and Civil Engineering, 6 (2), 187 – 192. Tyagi, N.K., Gupta, R.K., Singh, O.P., 1982. Irrigation system capacity design using frequency analysis of pan evaporation. IE(I) Journal. 63, 59 – 64 Xu, C.Y., Singh, V.P., 1998. Dependence of evaporation on meteorological variables at different time scales and inter comparison of estimation methods. Hyd. Processes, 12 (3) : 429-442. Xu, C.Y., Singh, V.P., 2000. Evaluation and generalization of radiation-based methods for calculating evaporation. Hyd. Processes, 14, 339 – 349. Xu, C.Y., Singh, V.P., 2001. Evaluation and generalization of temperature-based methods for calculating evaporation. Hyd. Processes, 15 (2), 305 – 319.

Published

2012-12-29

How to Cite

Sidramappa Shirgure, P. . (2012). Evaporation modeling with multiple linear regression techniques– a review. Scientific Journal of Medical Science, 1(6), 170-182. Retrieved from http://www.sjournals.com/index.php/sjms/article/view/672

Issue

Section

Agriculture