Browsing by Author "Punyawardena, B.V.R."
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Item Adaptation to the vulnerability of paddy cultivation to climate change based on seasonal rainfall characteristics(NSF:Colombo, 2014-06) Chithranayana, R.D.; Punyawardena, B.V.R.Item Analysis of droughts in the Dl agroecological region of the north central province(Soil Science Society of Sri Lanka:Colombo, 2002) Punyawardena, B.V.R.; De Silva, R.P.Item Assessment of the predictability of seasonal rainfall in Ratnapura using the southern oscillation and its two extremes(National Science Foundation:Colombo, 1999) Punyawardena, B.V.R.; Cherry, N.J.Item Characterization of heavy rain and subsequent dry periods during the North-East monsoon in the dry zone of Sri Lanka(National Science Foundation:Colombo, 2006) De Silva, R.P.; Punyawardena, B.V.R.; Chandralal, W.D.R.Item Climate Change and Extreme Events in WL1a Agro-ecological Zone of Sri Lanka: Implications on Coconut Production(Postgraduate Institute of Agriculture, University of Peradeniya:Peradeniya, 2020-10) Jayalath, K.V.N.N.; Punyawardena, B.V.R.; Silva, P.; Hemachandra, D.; Weerahewa, J.Item Effect of some organic materials on K availability, K uptake and growth of lowland rice(Soil Science Society of Sri Lanka:PEradeniya, 1989) Wanasundara, W.M.U.N.; Yapa, L.G.G.; Punyawardena, B.V.R.Item Identification and mapping of spatio-temporal variability of growing season characteristics in the wet zone of Sri Lanka(Soil Science Society of Sri Lanka:Peradeniya, 2004) Chithranayana, R.D.; Munasinghe, M.A.K.; Punyawardena, B.V.R.Item Identification of drought prone agro-ecological regions in Sri Lanka(National Science Foundation:Colombo, 2008-6) Chithranayana, R.D.; Punyawardena, B.V.R.Item Identification of the potential of growing seasons by the onset of seasonal rains:a study in the DL1 region of the North Central dry zone(National Science Foundation:Colombo, 2002) Punyawardena, B.V.R.Item Influence of El Nino/La Nina episodes on the rainfall regime of the DL1, region of the North Central Province of Sri Lanka(National Science Foundation:Colombo, 2004) Punyawardena, B.V.R.; De Silva, R.P.; Nijananthy, S.Item Recent changes of rainfall regime of Hakwatuna oya watershed of Sri Lanka(Postgraduate Institute of Agriculture, University of Peradeniya:Peradeniya, 2016) Perera, A.C.S.; Punyawardena, B.V.R.; Gunawardena, E.R.N.Item Relationship between soil moisture deficit and productivity of paddy lands in a major irrigation system in intermediate zone of Sri Lanka(Postgraduate Institute of Agriculture, University of Peradeniya:Peradeniya, 2016) Perera, A.C.S.; Gunawardena, E.R.N.; Punyawardena, B.V.R.Item The role of potassium fertilizer in drought tolerance of corn grown in noncalcic brown soils (Haplustalfs)(Soil Science Society of Sri Lanka:Peradeniya, 1991) Yapa, L.G.G.; Wanasundara, W.M.U.N.; Punyawardena, B.V.R.Item Spatial interpolation of rainfall in the Dry Zone of Sri Lanka(NSF:Colombo, 1998) Punyawardena, B.V.R.; Kulasiri, D.One of the problems which often arises in climatology is either data at a given site is missing or the site is ungauged.In this study, a spatial interpolation model was developed to estimate the weekly rainfall of the Dry zone of Sri Lanka at ungauged sites assuming that the spatial continuity of rainfall at two neighbouring locations are exponentially correlated. Twenty years of weekly rainfall data from six stations located in the Dry zone was used in the study. To support the methodilogy, the results of the exponential model were compared with the other two methods of spatial interpolation techniques, namely,the local mean and the inverse distance methods.The results of the study indicates that the exponential correlation model is a promising candidate for estimating mean weekly rainfall of the Dry zone.However, the local mean and the inverse distance methods compare quite well along with the exponential model, indicating that more complex midels have no particular advantage over simple models for estimating rainfall in the Dry zone of Sri lanka .Nevertheless, the results point towards the relative importance of the exponential model as opposed to the other two models when the neighbouring locations do not have long series of historical records.