GIS-based multicriteria analysis for optimal weather radar site selection

Author(s):  
Ioannis N. Faraslis ◽  
Redouane Boudjemaa ◽  
Nicolas R. Dalezios
2019 ◽  
Vol 8 (2) ◽  
pp. 151
Author(s):  
Redouane Boudjemaa ◽  
Nicolas R. Dalezios ◽  
Ioannis N. Faraslis

Author(s):  
Yanli Fu ◽  
Changfeng Jing ◽  
Mingyi Du

With the increasingly rapid growth of urbanization and climate change, urban rainfall monitoring as well as urban waterlogging has widely been paid attention. In the light of conventional siting selection methods do not take into consideration of geographic surroundings and spatial-temporal scale for the urban rain gauge site selection, this paper primarily aims at finding the appropriate siting selection rules and methods for rain gauge in urban area. Additionally, for optimization gauge location, a spatial decision support system (DSS) aided by geographical information system (GIS) has been developed. In terms of a series of criteria, the rain gauge optimal site-search problem can be addressed by a multicriteria decision analysis (MCDA). A series of spatial analytical techniques are required for MCDA to identify the prospective sites. With the platform of GIS, using spatial kernel density analysis can reflect the population density; GIS buffer analysis is used to optimize the location with the rain gauge signal transmission character. Experiment results show that the rules and the proposed method are proper for the rain gauge site selection in urban areas, which is significant for the siting selection of urban hydrological facilities and infrastructure, such as water gauge.


Author(s):  
Sedat Yalcinkaya ◽  
Sevin Uzer ◽  
Hasan İhsan Kaleli ◽  
Fatih Doğan ◽  
Mert Kayalık

Marketplace waste collection is one of the crucial services provided by the district municipalities in Turkey. A significant amount of food waste is periodically collected from marketplaces. However, an important opportunity for recycling and mitigation climate change is missed because these waste are sent to landfills. Composting, one of the waste management technologies applied to organic waste to reduce greenhouse gas emissions and produce compost, is often preferred for the management of marketplace waste. This study aims to determine suitable locations for compost facilities to manage marketplace waste with the help of GIS considering economic, environmental, and topographic factors in Izmir, Turkey. There are 199 marketplaces in Izmir and each has at least one market a week. Each marketplace was weighted by means of population served by using location-allocation analysis since the amount of waste collected from the marketplaces is not known. First, an exclusion analysis was performed to remove limited use areas. Then, a preference analysis was performed. Factors affecting plant site selection process for composting marketplace waste, including marketplace locations and weights, were determined. Since all factors do not have equal importance, the analytical hierarchy process was used to determine weights for each factor based on their influence. The study area was spatially evaluated for each preference factor and a suitability map was created for each factor. Finally, a high-resolution final suitability map was obtained by combining each factor’s suitability map along with their weights. Areas with a suitability index greater than 80% have been defined as suitable areas for compost facility installation. The results indicate that there are 323 potential locations suitable for compost facilities in Izmir.


Author(s):  
Yanli Fu ◽  
Changfeng Jing ◽  
Mingyi Du

With the increasingly rapid growth of urbanization and climate change, urban rainfall monitoring as well as urban waterlogging has widely been paid attention. In the light of conventional siting selection methods do not take into consideration of geographic surroundings and spatial-temporal scale for the urban rain gauge site selection, this paper primarily aims at finding the appropriate siting selection rules and methods for rain gauge in urban area. Additionally, for optimization gauge location, a spatial decision support system (DSS) aided by geographical information system (GIS) has been developed. In terms of a series of criteria, the rain gauge optimal site-search problem can be addressed by a multicriteria decision analysis (MCDA). A series of spatial analytical techniques are required for MCDA to identify the prospective sites. With the platform of GIS, using spatial kernel density analysis can reflect the population density; GIS buffer analysis is used to optimize the location with the rain gauge signal transmission character. Experiment results show that the rules and the proposed method are proper for the rain gauge site selection in urban areas, which is significant for the siting selection of urban hydrological facilities and infrastructure, such as water gauge.


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