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Geographical information system (GIS)-based noise simulation software (N-GNOIS) has been developed to simulate the noise scenario due to point and mobile sources considering the impact of geographical features and meteorological parameters. These have been addressed in the software through attenuation modules of atmosphere, vegetation and barrier. N-GNOIS is a user friendly, platform-independent and open geospatial consortia (OGC) compliant software. It has been developed using open source technology (QGIS) and open source language (Python). N-GNOIS has unique features like cumulative impact of point and mobile sources, building structure and honking due to traffic. Honking is the most common phenomenon in developing countries and is frequently observed on any type of roads. N-GNOIS also helps in designing physical barrier and vegetation cover to check the propagation of noise and acts as a decision making tool for planning and management of noise component in environmental impact assessment (EIA) studies.
The generation and use of spatial information has significantly increased in recent years. Its importance has been magnified by the INSPIRE Directive, which has subsequently led to specific requirements within several legislative frameworks, such as the Water Framework and Noise Directives, for generating spatial data and spatially-specific outputs, as well as encouraging the creation of spatial data infrastructures at European level. The increased availability of spatial datasets resulting from these initiatives facilitates and promotes the application of Geographic Information Systems (GIS) in planning and environmental assessment, among other sectoral applications. Arguably, the inclusion of geographic information through GIS supports and enhances environmental planning processes, enabling a rapid and objective analysis of environmental issues, and presenting information in a spatial and graphical manner. However, there are a number of considerations for the successful application of spatial data and GIS, and a number of issues remain affecting consistency and validity of results. This paper provides a critical review of current issues affecting spatial dataset management and use (such as format, scale, completeness, timeliness and metadata), and discusses common GIS methods and existing constraints to their application in Strategic Environmental Assessment (SEA) and Environmental Impact Assessment (EIA). It concludes outlining existing opportunities to optimise the contribution of spatial data to environmental planning, and establishing future research and practice needs to enhance GIS use in SEA and EIA practice.
Based on ARCGIS spatial analysis software, this paper analyzes the landscape pattern of land use before and after land circulation in Tongziyan village. The results demonstrate that Paddy and dry land are the dominant landscape types after land transfer and part of the forestland and unused land are converted into roads, construction land and pits. The number of paddy field, dry land and the density of patch have decreased by more than 20%. Although the number of patches, patch’s density, landscape shape index of roads, construction land and pits are rising, the mosaic structure of patches’ form remained relatively constant. The diversity index, shape index and evenness index are all in a decreasing trend, while the average patch fractal dimension, segmentation index shows an increasing trend, which reflects the increase of the complexity of land use landscape types in this area.