Тяжелые металлы в окружающей среде
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| 3. APPLICATION – 1
3.1.MATERIAL AND METHOD One of the important stages of land consolidation is soil survey. Soil survey data are im- portant to access economic analysis and planning the lands according to the physical and chemical parameters (Carmelo et al, 2013). Soil survey data involves laboratory results and land observations together with the geographical position of sample points. Soil survey values are guiding to the rear- rangement of lands and must be associated with land and property attributes. Soil survey data should be stored in database system due to the large amount of laboratory analysis and land obser- vation data. In this study, a GIS based database is developed to store soil survey data to establish analy- sis and management infrastructure with using land consolidation in Seydisehir district of Konya. Data types and parameters are examined to constitute database in GIS concept to provide mapping and visualizing of soil survey data. Attribute query and graphic illustrations can also be generated with constituted database. The soil survey database is constituted for Seydisehir which is located in Konya city in Tur- key. Soil survey process is generated for 146 sample points and 6 profile benchmark. Project area, profile benchmarks and sample points are given in Fig. 1. 72 73 age, processing, analysis and presentation of graphic and non-graphic information belonging to ob- jects that have a certain position and form" (DPT 2001). Many variables and related criteria are in- volved in the analysis. Geographic information systems (GIS) are best suited for handling spatial data, with due consideration for the spatial variability for an efficient time and cost-effective eval- uation (Ahamed et al., 2000). Suitable areas for crops are determined by evaluation of the climate, soil and topographical characteristics; therefore, GIS has been applied to the evaluation of crop suitability in recent years (Gao, 2000). GIS is a part of Information Technology (IT) that bases on geographic coordinates, collects spatial and non-spatial data, and stores, processes, analyses and presents this data as a whole in tables and maps (Kursun et al., 2000). The area of use of GIS in ag- riculture can be listed as follows (Senol, 2008); determination of product patterns, determination of cultivated areas according to the cultivated plant, yield prediction, creation of land information sys- tems, precision agriculture, plant diseases and pests, nutritional deficiencies, and soil mapping. To develop a GIS based system for agricultural management, a set of questions are proposed by Fountas (2004). The questions were formulated based on Management Information Systems (MIS) and Information Systems (IS) theories (Capron, Perron, 1993). A well-structured MIS has to cover a set of questions, called ―the five W‘s and an H, (Mittra, 1986; Koory, Medley, 1987). These are; • What information is needed? • When is the information needed? • Who needs it? • Where is it needed? • Why is it needed? • How much does it cost? The answers to these questions are defining the structure of the system. The system func- tions, requirements, techniques and other related structures can be defined considering the answers. жүктеу/скачать 6.49 Mb. Достарыңызбен бөлісу:
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