Site Selection Method Research Articles

The new comprehensive evaluation system for subsea tunnel site selection: A case study of the Qiongzhou Strait, China

Qiongzhou Strait subsea tunnel is a challenging project with a long-distance, large investment, and long construction period. Scientific location planning is the key to this project construction. Therefore, we attempted to establish a new evaluation method for the Qiongzhou Strait subsea tunnel site selection. By analyzing the geological data of the Qiongzhou Strait and combining it with previous literature research results, we selected nine first-level and seventeen second-level evaluation indicators. We employed an analytic hierarchy process to calculate the weight of each indicator and evaluated each alternative route using the fuzzy comprehensive evaluation method and the cloud model method. We obtained an accurate and reliable optimal route through mutual verification and the final results of the two methods. This research can provide guidance or reference for the evaluation and decision-making of complex system engineering problems, and indicate a direction for further research on site selection and decision-making issues of major projects.

Investigation of heat exchange efficiency and thermal migration of Deeply Buried Pipe Energy Pile group under the groundwater seepage

The seepage has a significantly positive effect on the heat transfer of underground energy structures. However, the effect of thermal migration caused by seepage is ignored. Previous studies mainly focused on the Ground Source Heat Pump (GSHP) and the Inside Buried Pipe Energy Pile (IBP-EP). In this study, a novel underground energy structure named Deeply Buried Pipe Energy Pile (DBP-EP) was proposed and thermal-seepage coupled models of DBP-EP groups with three different layouts was developed. Meanwhile, the variation of heat exchange efficiency and the effect of thermal migration caused by seepage were analyzed. The results showed that seepage could eliminate heat accumulation around the DBP-EP group and enhance the heat exchange efficiency. However, the thermal migration transferred the heat from the upstream of DBP-EPs to the downstream, and resulted in the thermal disturbance for the downstream. When the layout of DBP-EP group was horizontal parallel, the heat exchange efficiency of the downstream DBP-EPs was 4 %-6% lower than the upstream. The staggered layout could decease the influence of thermal migration on the downstream DBP-EPs and further reduce unnecessary heat exchange loss. Besides, the appropriate spacing of the DBP-EP group, which achieved the optimum utilization of land space, was related to the seepage velocity. When the seepage velocity increased from 60 m/a to 120 m/a, the minimum spacing of the DBP-EP group with the staggered layout could be reduced by about 1 m. The heat exchange efficiency of the DBP-EP could be improved by 9 %-10 % than GSHP. This study will have certain engineering guiding significance for the design method of DBP-EP project site selection, operation and DBP-EP group layout.

Preliminary Study on the Co-Location Offshore Wind and Wave Farms in Zhejiang Province

With the commercialization of offshore wind and the continued advancement of wave energy technologies, the option of locating both in the same sea area has emerged. The joint development of offshore wind and wave energy can effectively address the challenges faced by offshore wind and wave energy development, reduce costs, and improve the stability of power generation and output. This article introduces the current status of sea area utilization and marine functional zoning in Zhejiang Province and proposes a site selection method to identify the most suitable sea area for the construction of co-located offshore wind and wave farms in Zhejiang. First, a geographic information systems database was developed to identify unsuitable areas for co-located offshore wind and wave farms. Then, a literature review was conducted to establish a system of resource, economic, and technical selection indicators, and the Delphi method was used to determine the weight of each indicator. Finally, the sea areas suitable for the construction of co-located offshore wind and wave farms were evaluated and ranked, and the order of power plant development was given. The results of the study illustrate the potential of developing co-located offshore wind and wave farms in Zhejiang, especially in the northern part of Zhoushan and the southern part of Taizhou.

Earthworm Diversity and Distribution in Kathmandu, Bagmati Province, Central Nepal

Earthworms are of ecological and economic significance and are directly related wit human health through biogeochemical cycle. Such a valuable faunal group needs immediate intensified taxonomic treatment in Nepal for their sustainable use, efficient commercial production and biodiversity conservation. Systematic random sampling was used for site selection and hand sorting method was used for sample collection from the field. Collected specimen were photographed in field and preserved in ethanol for lab study with tagging. In total, study reported eight species belonging to two families Lumbricidae and Megascolecidae. External morphological features helped on identification and taxonomic key preparation. Among two sites 6 species were common and abundantly recorded from almost habitats whereas, 1/1 species were different in each site with uncommon reporting from harsh environment. Cultivated crop land with litter and compost was known to be more diverse in species richness than other habitats. Detail taxonomic study and distribution mapping is an essential for Earthworms in Nepal to complete the global database and national soil engineer documentation for organic and healthy environment. Int. J. Appl. Sci. Biotechnol. Vol 10(2): 124-133.

Rapid Site Selection of Shale Gas Multi-Well Pad Drilling Based on Digital Elevation Model

Drilling and completion platform construction is a fundamental part of oil and gas reservoir development, and the location of construction directly affects the whole process of shale gas drilling and development. Due to the complex surface conditions and fragile ecological environment in mountainous areas, having an appropriate platform location can significantly reduce shale gas development and environmental costs. The DEM (digital elevation model) includes geographic elevation, surface complexity, land use type, and other data, so it can be used for rapid site selection for shale gas multi-well pad drilling. In this study, first, research results related to drilling platform site selection were analyzed and summarized, and then a platform site selection method aiming to minimize the total well construction cost was developed. Second, the well construction costs were decomposed into the surface construction costs and the underground construction costs, and the site selection model with the lowest total multi-well pad construction costs was established. Third, ground feature data obtained from DEM (digital elevation model) processing were substituted into the site selection model and solved using the genetic clustering algorithm. Finally, two practical cases were used to verify the research method developed in this study. The results show that the platform site selection results can be used to not only guide the formulation of development plans, but also to reduce the scope of the field investigation in the process of site selection, reduce the intensity of field work, and improve the work efficiency.

Site Selection for Ocean Thermal Energy Conversion Plants (OTEC): A Case Study in Panama

This research addressed a need for technical evaluation of the oceanic scenario of Panama for the use of Ocean Thermal Energy Conversion (OTEC). Its bathymetry and location can potentially lead to the exploitation of OTEC, diversifying the energy matrix and helping achieve sustainability. Nevertheless, site selection for OTEC can be a complex task since it involves various alternatives, with different quantitative and qualitative criteria, which may conflict in some cases. Optimization and multiple criteria (MCD) methods have been used lately to address these issues; however, their use is still limited. Here, Analytic Hierarchical Analysis (AHP) is proposed as a MCD method for site selection. Six sites of interest were considered as the alternatives for a plant installment. These sites were chosen, excluding the environmentally and aboriginal protected areas. The quantitative criteria considered were surface and deep-water temperatures, coastline distance, gross and net efficiency. Those variables related to the efficiency, such as the water temperatures, can be considered the most influential, leading to Punta Burica, located on Panama’s Pacific coast, as the best option (96.17%).

Application of Big Data Technology in Urban Greenway Design

With the continuous advancement of big data technology, there are many drawbacks in the past urban greenway design. The environment, population distribution, geographic location, spatial distribution, and other factors affect the greenway design. At the same time, a large amount of historical data is mixed. The systematic arrangement has indirectly led to the fact that urban greenway design does not know how to analyze and use past data. There is always a waste of various resources. While greenways bring many positive impacts, they also have negative impacts: it is difficult for the wild animals in the greenways to move along the predetermined passages, and most animals spread in the greenways in a disorderly manner, so that the greenways accelerate the invasion of alien species and diseases to a certain extent. Using big data technology can enable us to allocate resources more reasonably and accurately. The purpose of this article is to study the use of big data technology to rationalize our urban greenway design. This paper adopts a calculation method that closely combines quantitative and qualitative features to study its features. The local feature analysis algorithm can extract and analyze urban spatial data. Spatial remote sensing image technology can deepen our knowledge and understanding of urban spatial characteristics, conduct data mining, provide all the information of urban space, analyze the content and type, and classify it; then filter and integrate the big data in the greenway planning and design information. The information about greenway planning and design in the big data of Dao Design is digitized. This information can be composed of traditional data and dynamic data. Finally, after scientific analysis, the data is subjected to scenario assumptions, modeling, and output, we applied various analysis results to actual operations, and we obtain the final inspection. In fact, this is also going out from actual work, summing up the experience we have done, and again starting from the perspective of specific practice. Compared with our traditional field investigation before, with the guidance of big data analysis, the experimental results of this article show that under the use of big data technology, the wrong resolution of the SegNet semantic classification algorithm for buildings is 9.6%, and the others are 10.9%, 16%, 20%, etc., which are all greater than 9.6%, so the segNet model has a higher image acquisition accuracy. It can solve the problems caused by the lag of the past questionnaires and the small sample size, improve the accuracy of data extraction through algorithms, find some features and problems of greenway design, and complete the urban greening rate through computer algorithms. Calculation and analysis can better provide the most reasonable method for greenway design site selection and route selection.

Comprehensive evaluation method for site selection of LNG bunkering stations in Bohai Rim ports

With the introduction of emission peak and carbon neutrality strategy, green shipping has already become an urgent need for the development of water transportation industry. Using liquified natural gas (LNG)-powered ships is an effective way to deal with carbon emission, and more and more shipping companies are willing to choose it as the main ship type in the future. As the open cooperation portal to the Asia-Pacific region, the Bohai Rim region occupies an important position in China national shipping system. Focusing on the bunkering needs of LNG-powered ships in the future, ports in the Bohai Rim region should add LNG bunkering stations with reasonable layout and complete facilities. This paper constructs a comprehensive evaluation system for the site selection of LNG bunkering stations in coastal ports from five aspects: natural factors, infrastructure factors, economic factors, safety factors and policy factors, and conducts the evaluation on the alternative port areas. After comprehensive analysis, the Caofeidian Port Area of Tangshan Port is recommended as the location of LNG bunkering station.

Research on Location Characteristics of UCF Layout Based on DNSCAN Algorithm

Since the reform and opening up, the prosperity of culture has always been the strong desire of the party and the country, and repeatedly put forward the goal of improving the public cultural service system (PCSS), requiring priority development of infrastructure construction related to the vital cultural interests of the people. Urban cultural facilities (UCF) are an important material basis in the cultural service system. The essential assurance for achieving the goal of developing a PCSS that covers the entire community is to improve the layout of cultural facilities (CF) and to allocate CF in a scientific and reasonable manner. This research examines the geographical layout characteristics of CF in Xiamen using POI data from libraries, art galleries, and museums crawled by Baidu API and spatial statistical tools such as ArcGIS. Taking the interest points of cultural promote serving residents as research objects, the advancement of spatial pattern of CF in Zhengzhou in 2007 and 2017 was quantitatively analyzed by using standard deviation ellipse and kernel density analysis. The paper compares and analyzes the location distribution characteristics of museums, libraries, cultural centers, art galleries and theaters from two aspects of macro spatial form and microgathering center. Residents’ behavioral characteristics are introduced to examine the influence on the spatial form of CF, and appropriate suggestions are made for the planning and development of CF in Zhengzhou, based on large-scale field survey data and geographical detectors. This article, on the analysis of the state and international public facilities location layout on the basis of optimization study, starting from the present circumstances of urban public sports facilities layout, puts forward the geographic information system (GIS) technology and local approximation (LA) model is introduced into urban public sports service facility location, using DNSCAN network analysis function of urban public sports facilities in site selection and layout optimization, Provide a new method for site selection of sports facilities. And the actual case analysis, in order to provide a reference for the future location layout of public service facilities. Zhengzhou cultural resources through the establishment of GIS database, investigation, cultural needs, put forward the planning should not only include public CF, CF planning should also include the cultural heritage, cultural creative industry, and put forward the development strategy of the construction of the overall urban culture network, realize the cultural space planning and career planning, the fusion of the culture industry planning.

Accuracy of Estimating Periodontitis and Its Risk Association Using Partial-Mouth Recordings for Surveillance Studies: A Systematic Review and Meta-Analysis.

Objectives Our aim is to conduct an up-to-date systematic review and meta-analysis pertaining to the accuracy of using the partial-mouth recording protocol (PRP) in surveillance studies to estimate the periodontitis prevalence, extent, severity, and its risk associations. Methods Medline and Embase databases were searched for studies which assessed the periodontitis prevalence, severity, extent, or its risk associations using PRPs versus full-mouth recording protocols (FRPs); searches were conducted up until May 26, 2021. The risk of bias and the applicability of the studies were assessed using the QUADAS-2 tool. Both qualitative data synthesis and quantitative data synthesis were performed, and comparisons were done for the accuracy and precision of PRPs for different periodontitis outcomes. The study's protocol was registered through the International Platform of Registered Systematic Review and Meta-analysis Protocols (registration number: INPLASY202160032). Results A total of 14 studies were included. The studies had a considerable degree of heterogeneity, along with a moderate risk of bias and applicability concerns. Several factors influenced the accuracy or precision of using PRPs, including the age, distribution of periodontitis in the studied population, PRP selection, total PRP sites, the threshold for minimum sites with CAL, and the severity of periodontitis case definitions. Overall, the PRP with the highest accuracy and precision mainly included (1) a full-mouth protocol at the following partial sites: mesiobuccal-midbuccal-distolingual (MB-B-DL), mesiobuccal-distolingual (MB-DL), mesiobuccal-midbuccal-distobuccal (MB-B-DB), mesiobuccal-distobuccal (MB-DB), and 84 sites using the random site selection method (RSSM) and (2) random-half-mouth (RHM) protocols. Conclusions The PRPs with the highest overall accuracy and precision in estimating the periodontitis prevalence, extent, severity, and risk associations included the full-mouth assessment at the following partial sites: MB-B-DL, MB-DL, MB-B-DB, MB-DB, and 84 sites using RSSM and RHM protocols.

Emergency airport site selection using global subdivision grids

ABSTRACT The occurrence of large-magnitude disasters has significantly aroused public attention regarding diversified site selection of emergency facilities. In particular, emergency airport site selection (EASS) is highly complicated, and relevant research is rarely conducted. Emergency airport site selection is a scenario with a wide spatiotemporal range, massive data, and complex environmental information, while traditional facility site selection methods may not be applicable to a large-scale time-varying airport environment. In this work, an emergency airport site selection application is presented based on the GeoSOT-3D global subdivision grid model, which has demonstrated good suitability of the discrete global grid system as a spatial data structure for site selection. This paper proposes an objective function that adds a penalty factor to solve the constraints of coverage and the environment in airport construction. Through multiple iterations of the simulated annealing algorithm, the optimal airport construction location can be selected from multiple preselected points. With experimental verifications, this research may effectively and reasonably solve the emergency airport site selection issue under different circumstances.

Site-selective covalently immobilized alpha 1A adrenergic receptor for thermodynamic and extra-thermodynamic study of four ligands binding to the receptor by chromatographic methods

Immobilized G protein-coupled receptor is a versatile tool to study ligand-receptor interactions. In this work, we synthesized the immobilized alpha 1A adrenergic receptor (α1A-AR), a GPCR subtype mediating smooth muscle contraction, through a site-selective covalent method that relies on the reaction between haloalkane dehalogenase tagged α1A-AR and macroporous silica gel coated with 6-chlorohexanoic acid. To investigate thermodynamic and extra-thermodynamic parameters for ligand binding, we utilized the covalently immobilized receptor as stationary phase to perform frontal analysis and injection-amount dependent analysis as well as compared with the random immobilization method. Terazosin gave the association constant of 1.48 × 105 M−1 to α1A-AR, indicating that the oriented immobilization of α1A-AR enhances the ligand-binding activity by one order of magnitude in comparison with the random immobilization method (7.9 × 104 M−1). The binding of phentolamine and tamsulosin to the receptor was accompanied by a large absolute heat capacity (ΔCp) of 1.28 ± 0.23 kJ mol−1, demonstrating that the binding enthalpy and entropy appear to compensate for one another. These results indicated that the covalent immobilization of the receptor onto solid support has a profound impact on the ligand-binding activity of the receptor and the determination of ligand-receptor binding parameters. The receptor immobilized through the site-selective method will act as a benchmark for chromatographic determination of binding parameters in ligand-receptor interactions and can be used as an effective approach for rapid analysis of drug-protein interactions with high accuracy.

Fuzzy-based GIS approach with new MCDM method for bike-sharing station site selection according to land-use types

Bike-Sharing Systems (BSSs) support urban mobility by strengthening the scope of public transport networks, which may be insufficient in smart cities. This paper aims to present a hybrid approach that includes a Fuzzy Logic (FL)-based Geographic Information System (GIS), the Analytic Hierarchy Process (AHP), the VIse Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method, and the Psychometric-VIKOR method for the problem of the selection of BSS station sites depending on transportation and recreational land uses. The FL approach was included in the GIS analysis in order to characterize the uncertainty of a potential passenger's tendency to start a trip at a station within an accessible distance from the urban facilities. By combining fuzzy-based GIS analysis with the AHP method, a spatial analysis was performed for the deployment of BSS stations. The VIKOR and Psychometric-VIKOR methods were used to evaluate the performance of current and alternative locations of BSS station. This study is the first known application of the Psychometric-VIKOR method for the problem of the selection of BSS locations. The innovative hybrid approach can be used by authorities as a useful tool in solving decision-making problems that involve uncertainty in future urban investments.

GIS-Based Assessment of Suitability Area of Rainwater Harvesting in Daro Labu District, Oromia, Ethiopia

Rainwater harvesting is the process of intercepting, conveying and storing rainfall for future use as an alternative source of water in the drought prone areas of Ethiopia especially eastern Oromia. The aim of the research was to assess and mapping suitability area of water harvesting site in Daro Labu District. There are various methodologies and criteria to identify suitable sites and techniques for rainwater harvesting (RWH). Determining the best method or guidelines for site selection, however, is difficult. GIS is the recent technology of spatiotemporal data used to assess the factor of influences for rainfall and runoff depth estimation for identification of potential area of RWH for crop production and mapping of the potential site. The influence factors for consideration of the assessment was climate data, soil texture and depth, land use and land cover (LULC) type, slope difference were used. The total area of the catchment was about 156064.72 ha. The SCS–CN for rainfall used to runoff depth estimation compute runoff and volume from the land surface depend on the level of antecedent moisture condition (AMC.) The length of wet and dry season of the study area were known with antecedent moisture condition (AMC) of II, I III by having the values of 82, 67 and 91 respectively. The annual of 20 years average rainfall was 925.2 mm with maximum and minimum of 1134 mm and 737.3 mm respectively with average annual runoff depth of estimate was 185.3 mm. From the estimated annual runoff the volume of water harvested was about 2.89 × 10⁸ m³. The suitability map of the study area shows extremely potential, highly potential, potential and not potential accounts by coverage areas about (12,797.3 ha) 8.2%, (25,906.7 ha) 16.6%, (98,302.8 ha) 63.5%, and (19,040 ha) 7.5% respectively. The runoff in the study area was affected by geomorphological factors, particularly, land use change, topography, soil texture and depth, drainage density, and population density affects the runoff rate and volume significantly.

Research on optimisation method for project site selection based on improved genetic algorithm

Research on optimisation method for project site selection based on improved genetic algorithm

Systematization of the Optimal Site Selection Method for “Michi-no-Eki” that Serves as Transport Hubs for the Last Mile

Systematization of the Optimal Site Selection Method for “Michi-no-Eki” that Serves as Transport Hubs for the Last Mile

Planning Method for Urban Subway Park-and-Ride Station and Parking Berth

For satisfying the growing demand of parking in urban area and relieving traffic congestion in downtown, under the condition of urban subway park-and-ride (P&R), the methods of site selection and scale calculation of parking lots are studied. Selecting Xi'an Rd. business circle in Dalian as study object, both survey and analysis of parking demand were conducted. Based on the principle of random equilibrium selection, the logit model of P&R demand was constructed. Then the forecasting models of parking demand both in downtown and peripheral zones were proposed respectively. Using the minimum travel distance of vehicles as the objective function, site selection optimization model of P&R station was constructed. The calculation methods of scale for parking lots in both downtown and P&R station were also processed. For the case of Xi'an Rd. business circle, not only the site of P&R station was planned, but the scale of parking berth was calculated. According to the plan and calculation, the total number of parking berth has increased from 3380 to 4011. Among the planned berths, 75.7 % are in the business circle and 24.3 % in P&R stations are outside downtown. Thus, the number of planned berths in the business circle has actually decreased by about 8 %. The research indicates that, for downtown with subway system, by reducing parking berths in downtown and increasing them in P&R stations outside the urban area, this planning method is more beneficial to relieve the problems of parking and traffic congestion in downtown than traditional method.

Comparison of Landfill Site Suitability Assessment Using Ahp and Fuzzy Ahp Methods

Landfill site selection is a multi-criteria decision problem and has strategic value for various countries. The conventional method for landfill site selection is not enough to address the vague nature of linguistic assessment. An integrated Fuzzy AHP method was used to resolve this issue. Suitability maps produced by conventional Analytical Hierarchy Process (AHP) and integrated Fuzzy AHP methods were compared and validated, which adds a new dimension in the waste management field. Various environmental, socio-economic, and infrastructure factors were used as predictors, which included groundwater level, soil type, slope, land cover, distance to settlements, railways, roads, surface water sources, airport, power lines, wells, and protected areas. Relative Operation Characteristic (ROC) analyses gave results of 0.77 and 0.86 for the suitability maps of AHP and Fuzzy AHP, respectively. The landfill site suitability maps produced from this study could help urban planners, engineers, decision-makers, and land-use developers to make suitable decisions. Furthermore, the resulted integrated model showed the best suitability that could be implemented to resolve the fundamental landfill siting problems in other cities of Pakistan.

Research on Site Selection Method of Battery Energy Storage System Based on Critical CutSet Identification

Under different operating conditions, the influence of energy storage battery on the power grid is different, and the location and capacity determination methods are also different. Therefore, how to scientifically and reasonably select the location is of great significance. This paper proposes a candidate set identification method for the most vulnerable branch and critical cut set of power system transient stability based on branch potential energy, and uses the improved comprehensive index to identify the critical cut set. This method does not need to wait for the end of time domain simulation to determine the most vulnerable lines and critical cut sets, thus providing the basis for the location of battery energy storage system (BESS). Through the power system comprehensive analysis program (PSASP) simulation, the accuracy of theoretical analysis and engineering practicability are verified.

366 Detroit City Mass Vaccination Site Template

In 2020, the city of Detroit was impacted by the COVID-19 pandemic, with over 162,000 reported diagnosed cases and 4,800 deaths. In response to anticipated availability of a vaccine, the Detroit Health Department developed plans for a drive-through mass vaccination site to help distribute the vaccine to the city’s population. We describe the Detroit City Mass Vaccination Site and its methods of recruitment, enrollment, site selection, and logistics.