Mapping Distribution Patterns of Population Density in GN Divisions based on Land Use Type Paddy – Eravur Pattu DS Division in Batticaloa District

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Date
2013
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Uva Wellassa University of Sri Lanka
Abstract
Population density and distribution form one of the major tools used in the development. They can be used as an index for the development in the form of infrastructure and financial allocation. Lack of information in digital based form to the government and non- governmental stakeholders is a major drawback to engage in the development, based on the population distribution. Moreover, the calculation of population density as a flat value over the area without considering the land use, leads to the low density values in a particular DS Division. Therefore it is necessary to observe the population density distribution over an area with land use. Thus this study shows that the land uses which are not used for residential purposes such as water bodies, scrubs and forests, etc. should be removed from the calculations to get an understanding of the real areas where the population is concentrated. A value should be given to the residentially used lands that are known as residential potential. The study adopted the residential potential values from the findings of Indrasiri et al., (2007) which has been applied for the Kalutara District, Sri Lanka. This study has been carried out for the Eravur Pattu DS division, Batticaloa. The division is one of the leading contributors to the paddy production (23% in 2011) which consists of 39 Grama Niladari (GN) divisions with the population of 74020, whose main livelihoods are paddy, high land crops and animal husbandry (Statistical data, 2011). The agricultural land contributes around 43% of the total land extent of Eravur Pattu DS division and this clearly shows that the majority of the population engages in farming in the DS division. Studies show that the extend of the paddy and other crop land is diminishing due to various factors such as climatic change, land degradation and fragmentation, unplanned land use for development, etc. Therefore, it is necessary to develop a study with the objective of creating a map related data base on land use in paddy and other crops on GN level population density and distribution to the Eravur Pattu DS division, Batticaloa. Methodology This study presents the results obtained for Eravur Pattu DS division based on paddy and agricultural crop land use patterns. Population data at GN level were obtained from the statistical data, Eravur Pattu District Secretariat (2011). Topographical sheets of Batticaloa district (1:50000) were obtained from the Survey department to extract the land use pattern. The validity of the land use patterns were confirmed by the field visits and random questionnaire survey carried out in the GN divisions. The population distribution based on land use pattern was obtained for paddy by the following method which was adopted from the study by Indrasiri et al (2007). The paddy land use was digitized using Arc GIS 9.2 version in order to extract from the source data. The land use data set was intersected by the GN boundaries of the same DS division to extract the land use in each GND. Land use was classified into residential and non – residential and among residential land use pattern, paddy land was selected. Moderate residential percentage was given to paddy which was adopted from the study of Indrasiri et al (2007). Based on the residential percentage of each land use, the area contributing to residential purpose by each land use was calculated for each GN division. The total residential area for each GN division was calculated. By dividing the population from residential area in each GND, population density was calculated. By multiplying population density by residential area of paddy land use, population distribution was calculated. Arc GIS 9.2 was used to map the population distribution based on paddy land in the Eravur Pattu DSD.
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Keywords
Agriculture, Export Agriculture, Engineering, Crop Production, Rice Research Development, Rice
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