Survey Site Selection Based on the Spatial Sampling Theory: A Case Study in Xiamen Island

2010 ◽  
Vol 12 (3) ◽  
pp. 358-364 ◽  
Liling GAO ◽  
Xinhu LI ◽  
Cuiping WANG ◽  
Quanyi QIU ◽  
Shenghui CUI ◽  
Huang Yu Hsiang ◽  
Tseng Sheng Yuan ◽  
Ping Wang ◽  
Lin Wen Hui ◽  
Lin Hsiao Chung

2010 ◽  
Vol 30 (11) ◽  
pp. 2037-2046 ◽  
Şehnaz Şener ◽  
Erhan Şener ◽  
Bilgehan Nas ◽  
Remzi Karagüzel

The selection of hospital sites is one of the most important choice a decision maker has to take so as to resist the pandemic. The decision may considerably affect the outbreak transmission in terms of efficiency , budget, etc. The main targeted objective of this study is to find the ideal location where to set up a hospital in the willaya of Oran Alg. For this reason, we have used a geographic information system coupled to the multi-criteria analysis method AHP in order to evaluate diverse criteria of physiological positioning , environmental and economical. Another objective of this study is to evaluate the advanced techniques of the automatic learning . the method of the random forest (RF) for the patterning of the hospital site selection in the willaya of Oran. The result of our study may be useful to decision makers to know the suitability of the sites as it provides a high level of confidence and consequently accelerate the power to control the COVID19 pandemic.

2016 ◽  
Vol 30 (4) ◽  
pp. 2383-2396 ◽  
Iskender Peker ◽  
Birdogan Baki ◽  
Mehmet Tanyas ◽  
Ilker Murat Ar

2021 ◽  
Vol 7 (2) ◽  
Banu Kaya özdemirel

Cross taxa congruence was investigated between butterfly taxa and ecological community for fine spatial scale (10 × 10 km² UTM grids) in north-eastern part of Turkey. The study area was evaluated within the scope of systematic conservation planning, and analyses were performed for sets of priority protected areas composed using complementarity-based site selection software Marxan. Cross taxa congruence was subsequently examined both in species richness and ecologic complementarity. Accordingly, it has been observed that the cross-taxon congruence between butterfly taxa and ecological community was relatively better than the results of previous studies. Another remarkable finding is that ecological community was a more robust surrogate than butterfly taxa. Although the results are valuable for conservation studies, they highlight the fact that a simple surrogate-based site selection would be inadequate to represent overall biodiversity.  The weakness of congruence patterns among surrogates would also lead to gaps in biodiversity conservation. These findings therefore draw attention to the necessities of incorporating surrogates of distinct ecology or some other surrogates like environmental parameters into conservation planning. Otherwise, there may be mistakes regarding species representation and the vast majority of species may be misrepresented in protected areas and protected area plans. At this point, it should be emphasized that understating cross taxa congruence and/or relationships is a key component for efficient biodiversity conservation.

2018 ◽  
Vol 10 (4) ◽  
pp. 1107 ◽  
Hossein Yousefi ◽  
Zahra Javadzadeh ◽  
Younes Noorollahi ◽  
Amin Yousefi-Sahzabi

Sustainable waste management, particularly in industrial areas, is one of the major challenges of developing countries. Among the important issues in the overall process of industrial wastes management is the necessity of suitable site selection for waste disposal. Considering the effects that the disposal sites exert on their surrounding ecosystem and environment, these sites should be located in places with the minimum destructive effects and the lowest environmental impacts. The aim of this research is to outline important criteria for industrial zone waste disposal site selection and to select optimal and proper disposal sites in the Salafchegan special economic zone. This region, as one of the most important industrial areas and closest to the country’s political–economic center, enjoys a privileged and unique position for producing, exporting, and transiting goods and products. There are various parameters involved in the optimal selection of suitable industrial waste disposal sites. In this case study, issues such as the depth of groundwater, distance from surface- and groundwater, access routes, residential areas, industries, power transmission lines, flood-proneness, faults, slope, and distance from gardens and agricultural lands were taken into account. Following selection and preparation of the maps related to the influential parameters, assigning weights was done through the Analytical Hierarchy Process (AHP) and using expert comments. At this stage, the maps and weights related to them were introduced into an index overlay model to obtain new maps from combining the influential parameters. Thereafter, the areas with the first and second priorities were selected and out of each one, four sites were suggested for disposing of industrial wastes. The sites with the first and second priorities were specified as A1, A2, A3, and A4 and B1, B2, B3, and B4, respectively. The area, groundwater depth, distance from residential areas, distance from the Salafchegan special economic zone, the direction of the predominant wind, and the land use of the selected sites were also investigated.

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