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The different methods' effect on CRE ages, and 10 Be production rates at sites with differing topography and ten Be production rates were first calculated using GIS-based shielding techniques and then with field-data-based shielding techniques. The shielding factors were independent of the spatial resolution of the input elevation measurements for sampling sites in forested low mountainous regions and high altitude settings in high Alpine environments. Age shifts between 0 percent and 2 percent were found in the majority of cases, when recalculating CRE ages of the same sampling sites with different shielding factors resulted in age shifts between 0 % and 2 %. It has been shown that the use of elevation data with such high resolution requires precise x and y coordinates of sampling sites, as well as the danger that small-scale objects in the vicinity of sampling sites will be misinterpreted as topographic barriers.
Source link: https://doi.org/10.5194/gchron-4-691-2022
While Fog computing can resolve these problems to some extent, it is still in its infancy. Fog computing is extremely varied in terms of failures as compared to cloud computing, and it requires extensive investigation and investigation. The geographical information system services have been rolled out as a test bed that requires high computation, demands substantial amounts in terms of CPU and memory, and demands low latency. The framework was made anti-fragile and resilient at different levels despite different types of failures, their effects on service quality, service degradation, and greater response time in mind.
Source link: https://doi.org/10.3390/s22228778
The aim of this research is to investigate the possibility of using geographical information systems in decision making in the decision making of rail route planning process. Each parameter is given weights based on the GIS environment's analytic hierarchy process. In order to obtain a feasibility map, the layers of parameters that affect route quality are overlaid in a GIS environment. The Feasibility map is divided into five categories, i. e. ,.
Source link: https://doi.org/10.48084/etasr.1329
Background: Spatial noise level mapping using a geographic information system is critical for the visual representation of noise analysis, which is a requirement for strategic planning and mitigation actions. Methods: In 54 research locations for spatial interpolation, an ex-tech noise meter was used for sound recording, and a GIS was used for spatial interpolation. The LDay's ranged from the minimum value of 67. 6 dB in the Ijaw residential area to a maximum of 93. 0 dB at the Kwangila site intersection. The LNight's minimum value of 63. 3 dB in Dogorawa's residential district was reduced to the maximum value of 92. 1 dB at the Kwangila site, ranging from minimum value of 63. 3 dB to the highest value of 92. 1 dB at the Kwangila site. paraphrasedB at Hanwa residential areas to the maximum value of 97. 2 dB at the Kwangila site. The noise quality rating ranged from acceptable to unallowed noise quality grading.
Source link: https://doi.org/10.34172/EHEM.2022.24
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