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The objective of this study is to establish a geographical information system method for spatial assessment of soil erosion based on the universal soil loss equation (USLE), and to evaluate the utility of GIS with regard to soil erosion mapping. The study area, Goynuk, covers 1,437 square kilometers and is located in the southeastern part of Bolu, Turkey. In this study, USLE factors including rainfall erosivity (R-factor), soil erodibility (K-factor), slope and slope length (LS-factor), vegetative cover (C-factor), and conservation practice (Pfactor) were studied and reviewed. Each factor, which consists of a set of logically related geographic features and attributes, was used as an input for analysis. A land use map of the study area was generated from (Landsat TM 2000) satellite imagery. A digital elevation model (DEM) interpolated from elevation contours was used to generate the slope and LS-factor. Spatial vegetative cover, extracted from Landsat TM imagery, was used to determine the spatial C-factor and P-factor, values of which are based on experimental results from the literature. USLE model calculation applied to the resultant polygonal layer gave values of soil loss in tons/ha/year. These are then ranked into three classes as low, moderate, and high. The study indicated that highly eroded areas are bare lands and steep conditions, whereas less eroded areas are low slope classes. As a conclusion the study confirms that the use of GIS and remotely sensed data can greatly enhance spatial modeling for soil erosion.
Geographical information systems (GIS) have been extensively used to research public health issues in recent years. Cancer is one of the most important health issues around the world. In this study, a standard, effective and efficient GIS-based decision support system is established to ensure taking necessary measures for cancer cases, providing assistance to reveal the relationship between environmental health and geographical location, which may lead to cancer, keeping cancer cases under control, and places being recorded where the patients diagnosed with cancer dwell, together with their geographical locations. This system was fulfilled in the city of Sivas (Turkey). As a result of investigating, the cancer cases occurred between 2007 and 2010, The average of the cancer incidence rates for these years were calculated for both males and females and the curve equations representing them were estimated with a high coefficient of determination (R²=0.99). Whereas the coefficient of determination (R²) that expresses the strength of the relationship between the variables in the equation is 0.991 for females, this coefficient for males is 0.998. These equations almost represent existing data used to calculate the cancer incidence rates of the standardized age groups of males and females between 2007 and 2010.
In order to enhance the contribution of fig to the national economy and to raise farmers’ income level, it is necessary to encourage further cultivation of fig and direct farmers to fig production instead of alternative products. Most of the areas suitable for chestnut production are forestlands. There are orchards arranged with oak and chestnut trees with oak being predominant. Chestnut population in these areas should be increased. Cultivation area of this product that has many fields of use needs to be extended. Directing farmers to products that are storable in medium term with a broad market and high income is important both for the national economy and the farmers. The purpose of the present study is to remind producers the significance of two important products: fig and chestnut in the Kosk district of the Aydin province, Turkey, and to determine the areas suitable for growing these products within the study area. For this purpose the questioning and analysis features of GIS was employed. In this study, rainfall, temperature, soil texture, slope, elevation, wind direction, were taken into account to identify appropriate fields. As a result, approximately area of 13886 hectare of fig production and 3430.7 hectare of chestnut production were found as suitable area.
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