Airport Area Research Articles

EFFECTS OF AIRCRAFT NOISE ON RESIDENTIAL PROPERTIES RENTAL VALUE AROUND MAIDUGURI INTERNATIONAL AIRPORT, BORNO STATE, NIGERIA

This study examined the effects of aircraft noise on residential properties rental value around Maiduguri International Airport Area in Borno State. The data was collected through the administration of 363 structured questionnaire to selected household heads residing in the neighbourhoods around the airport. It utilized mean ranking, the simple regression analysis toanalyze the data collected. The result of the simple regression analysis revealed that aircraft noise negatively influences residential property value around the airport and that aircraft noise does not really depreciate residential property rental value, the noise level for the day-eveningnight time depends on frequency of flights as well as distance from the airport and the time of the day and also showed that rental values of residential properties in the study area fall within the range of 50,000 Naira and below for one room apartment. The study also found that tenants are willing to stay in the neighbourhood due to the presence of Air Force Base (security personnel) in the area. The study therefore recommends among other things, that investors and propertydevelopers embarking on property development should take into account the effects of noise on rental value of residential property to avoid wasting of funds in such ventures, also upgrading of the sound insulation of buildings will be a useful technique for reducing the negative impacts of aircraft noise to enhance the quality of urban life of residents. Government through urbandevelopment board should ensure the enforcement of land use and physical planning laws to mitigate and minimize the negative impacts of airport noise in the airport areas.

BUFFER ZONE BANDARA KERTAJATI DALAM MENGEMBANGKAN DESTINASI PARIWISATA DI SUMEDANG

In developing tourist, with the construction of Kertajati Airport and the access to Cisumdawu toll road, that can improve the economy of the local and the standard of living and the economy of the local community. Sumedang has been planned to become a buffer zone of Kertajati Airport area that can support tourism and economic activities. With the plan to open toll exit access in 5 districts in Sumedang,, the local government plans to develop tourism destinations in the sub-district to be developed into priority destinations. The five tourist destinations include: Pangjugjuga (Pamulihan), Geusan Ulun Museum (North Sumedang), Tampomas Green Park (Cimalaka), Cipanas Sekarwangi (Conggeang) and Panenjoan (Ujungjaya). This study aims to determine the condition of tourist destinations in the development buffer zone area in Sumedang. The operational variables of the buffer zone and the transit destination variables used provide an overview of the phenomena that occur in each tourist destination. The type of research used is qualitative with descriptive method. Data collection techniques used are triangulation data collection techniques; field observation, deep interview and literature study, while the data analysis used was the point rating scale model data analysis. From the results of data processing, it is found that there needs to be a policy from the government, both in the form of standard and centralized regulations or regulations regarding the management of tourist destination areas (tourism human resource development, ecosystem conservation) and increasing the participation of local communities/communities and regional tourism actors in activities tourism in the Sumedang

Detection of Aircraft Emissions Using Long-Path Differential Optical Absorption Spectroscopy at Hefei Xinqiao International Airport

Airport emissions have received increased attention because of their impact on atmospheric chemical processes, the microphysical properties of aerosols, and human health. At present, the assessment methods for airport pollution emission mainly involve the use of the aircraft emission database established by the International Civil Aviation Organization, but the emission behavior of an engine installed on an aircraft may differ from that of an engine operated in a testbed. In this study, we describe the development of a long-path differential optical absorption spectroscopy (LP-DOAS) instrument for measuring aircraft emissions at an airport. From 15 October to 23 October 2019, a measurement campaign using the LP-DOAS instrument was conducted at Hefei Xinqiao International Airport to investigate the regional concentrations of various trace gases in the airport’s northern area and the variation characteristics of the gas concentrations during an aircraft’s taxiing and take-off phases. The measured light path of the LP-DOAS passed through the aircraft taxiway and the take-off runway concurrently. The aircraft’s take-off produced the maximum peak in NO2 average concentrations of approximately 25 ppbV and SO2 average concentrations of approximately 8 ppbV in measured area. Owing to the airport’s open space, the pollution concentrations decreased rapidly, the overall levels of NO2 and SO2 concentrations in the airport area were very low, and the maximum hourly average NO2 and SO2 concentrations during the observation period were better than the Class 1 ambient air quality standards in China. Additionally, we discovered that the NO2 and SO2 emissions from the Boeing 737–800 aircraft monitored in this experiment were weakly and positively related to the age of the aircraft. This measurement established the security, feasibility, fast and non-contact of the developed LP-DOAS instrument for monitoring airport regional concentrations as well as NO2 and SO2 aircraft emissions during routine airport operations without interfering with the normal operation of the airport.

Aquatic biodiversity in a pond on the airport landside areas through environmental DNA metabarcoding: Implementation for Aviation Security Management

Abstract. Priyono DS, Reza A, Eprilurahman R, Yudha DS, Mufti D, Fauzy NH, Triyono RB, Adhi PK. 2022. Aquatic biodiversity in a pond on the airport landside areas through environmental DNA metabarcoding: Implementation for Aviation Security Management. Biodiversitas 23: 3639-3646. Environmental DNA (eDNA) has become a widely used tool for aquatic biodiversity monitoring, as well as for formulating effective landscape management strategies. Yogyakarta International Airport (YIA), Indonesia, has a green belt landscape located on the Indian Ocean coast. YIA's landscape biodiversity analysis is still unexplored. Herein, we first used high throughput sequencing DNA metabarcoding to identify and investigate aquatic biodiversity in a pond on the airport landside areas. The metabarcoding eDNA sequencing analysis yielded 224,737 raw reads from the metagenomics utilizing Illumina MiSeq sequencing. We identified 588 eukaryote species from 205 families and 300 genera. Actinopteri is the most dominant class with a diversity of 160 taxa, followed by Mammalia (88), Amphibia (60), and Chlorophyceae (25). At the order level, Anura has the highest order diversity (50), followed by Rodentia (31), Chiroptera (17), Eulipotyphla (16), Squamata (15), and Cypriniformes (14). We found that Plasmodium was the genus with the highest relative abundance in this pond (18,030 reads). Furthermore, the large variety of fish and other taxa in this pond may attract waterbirds, increasing the risk of bird strike. The abundance of Plasmodium sp. in this airport area is an important issue, especially regarding airport malaria risk. Integration of biodiversity monitoring using eDNA with aviation security management provides valuable information for the airport's wildlife hazard management plan. To prevent the recurrence of bird strikes and prevent airport malaria, aviation security strategies utilizing habitat management approaches are recommended.

Impact of Airspace Restrictions on Urban Air Mobility Airport Shuttle Service Route Feasibility

Initial urban air mobility (UAM) operations are anticipated to include airport shuttle services between airport terminals and city centers. UAM airport shuttle operations have the potential to improve the customer experience and provide airports with new revenue streams but risk interfering with current airport operations. In this paper, we develop a discrete, heuristics-based optimization framework to explore the impact of airspace constraints and the placement of vertiports in the airport terminal area on the feasibility of UAM shuttle operations. The framework is applied to the terminal areas of Hartsfield-Jackson Atlanta International Airport (ATL), Dallas Fort Worth International Airport (DFW), and Los Angeles International Airport (LAX). Small-scale UAM operations are found to be feasible at all three airports with current terminal-area procedures, particularly if UAM aircraft are classified as helicopters. Scaled-up operations are found to be most feasible at ATL because of the possibility of segregating UAM aircraft from commercial traffic, whereas scaled-up operations at LAX and DFW are expected to require the adoption of new technologies, procedures, and regulations.

Health Information : A Survey Study of Rat Vector in the Working Area of The Port Health Office Class II, Tarakan City

Rats are carriers and breeding grounds for a variety of parasites. The existence of a large population of rats can cause zoonotic diseases. This research is a survey and identification of the presence of rats in the Tarakan Class II Port Health Office Juwata Tarakan Airport and Port Working Area as an effort to prevent zoonotic disease caused by rat vectors. This research is descriptive with quantitative data types, measuring the presence of rats for 4 days and identification of rat species using survey and observation data collection methods. The results showed that the rats caught were still in low numbers with the types of rats caught being Rattus rattus and Rattus novergicus. Observation of the area showed that poor sanitation conditions, the density of piles of goods, sewerage, and the distance between the trash can and the canteen were opportunities for rats

Analisis Penerapan Protokol Kesehatan oleh Maskapai Citilink di Bandar Udara Internasional Minang Kabau Padang

Implementation oh health protocol at citilink airlines, all officers who work in airport area or all prospective to comply with the health or SOP protocols of the pandemic. Applying health protocols is expected to minimize the spread of the covid-19 virus and create a world of aviation. This research is a qualitative kind. The method for collecting data in this study is interviews, observation, documentation, and library studies. The purpose of the study is to know how the application of health protocols to citilink airlines, and how the application of health protocols to the word of aviation will affect aircraft. Studies show that the application of health protocols in citilink airlines corresponds with the same SOP as it does. Based on the findings of the researchers, prospective passengers object to, regulations that require every prospective passenger to perform PCR.

Stress Drop Variations of Induced Earthquakes near the Dallas–Fort Worth Airport, Texas

Abstract We estimate stress drops for injection-induced earthquakes near the Dallas–Fort Worth Airport in the Fort Worth basin (FWB), Texas, to investigate source properties in response to fluid injection. The stress drops for the Airport sequence show three unique characteristics compared to those estimated for other earthquake sequences in the FWB: (1) stress drops have lower mean and median values; (2) stress drops increase with moment magnitude; and (3) stress drops increase in size over the first 1.5 km in radial distance from the injection point. The low stress drop Airport events occurred shortly after the initiation of injection near a fault within hundreds of meters of the well. Pore pressure perturbations in the Airport area are 1 order of magnitude lower than those from the other sequences, suggesting that absolute pore pressure changes may not be the main factors of stress drop variations. We suggest that the low stress drop events may be related to transition from aseismic slip to seismic rupture previously observed in laboratory and field experiments.

Impact of Covid-19 on Chiang Mai City Center Airport: a guideline for its urban regeneration

AbstractCovid-19 has brought Chiang Mai International Airport to a state of lethargy: the once tourism-oriented city in northern Thailand has seen its visitors arriving by air greatly reduced since the start of the pandemic. An analysis of airport spaces and usage shows that their core purposes are disrupted or at standstill. Using a qualitative approach, the purpose of this study is to propose a guideline to re-assess spaces of city-centered airports in times of crisis to help its urban regeneration. Urban recommendations are displayed for policymakers and then applied to Chiang Mai International airport context. Results found that temporary urban and architectural solutions are worth considering during the time of crisis and its unknown end date. Permanent solutions are also suggested to connect dynamic poles of the city with the airport area, leading to improve the reliance between Chiang Mai city and its airport. This prospective approach also sheds a light on the monofunctional purpose of the airport and relative seclusion issues due to single-use zoning in the fabrication of the city.

Optimum landfill site selection by a hybrid multi-criteria and multi-Agent decision-making method in a temperate and humid climate: BWM-GIS-FAHP-GT

• A novel application of BWM-GIS-FAHP-GT has been utilized for landfill site selection. • Just 2.47% area of the Guilan province was selected as the “most suitable region” location. • Game theory was used successfully to find the best location from the authorities’ point of views. • The fuzzy AHP was used to calculate the payoffs of players in the game. The novel application of a new hybrid method of Geographic Information System (GIS), Multi-Criteria Decision-Making (MCDM) and game theory has been investigated for landfill site selection in Guilan province, which has a temperate and humid climate. The data utilized in the study were mostly obtained from satellite images and local organizations. Three main categories of environmental, social and economic impacts comprising fourteen criteria, based on the sustainability of a landfill location, were analyzed. Criteria weightings were obtained using the Best-Worst Method (BWM) and then a suitability map was produced by GIS analysis. Moreover, the restrictions for an airport (8 km), historical and touristic areas (3 km) and the border of the province (2 km) were applied. The result of the GIS was then analyzed using game theory (GT) in order to study the interactions of decision makers. In order to apply the new criteria for the game theory, a fuzzy analytical hierarchy process (FAHP) was used to find the weightings of five new criteria, which have been used for players’ payoffs. The most optimum location (site A 1 ) was investigated and found to be near rural areas of the study region which could cause inevitable harm to the adjacent communities. Furthermore, only 2.47% and 0.78% areas of the Guilan province is in the “most suitable region” and “suitable region” classes, respectively; which raises the awareness of finding a sustainable approach for saving the environment rather than the landfilling.

Airport UAV and birds detection based on deformable DETR

The aviation industry is growing rapidly, but due to inadequate airport surveillance technology, there have been incidents of UAV intruding into airports and birds striking aircraft in the clearance area. Existing airports use radar-based detection technology to monitor UAV and birds in the clearance area, and they cannot correctly identify the type and number of UAV and the size and number of birds. Based on this problem, this paper proposes a deformable DETR (DEtection TRansformer) based detection method for UAV and birds to assist airports to better supervise the clearance area and reduce safety hazards. In response to the small size of airport UAV and birds, we adopt a deformable DETR object detection method using multi-feature fusion to detect UAV and birds in the airport environment. The model has good detection performance with mAP of 75.2 and recall of 95.0%, which meets the airport’s requirements for UAV and bird detection, as verified by the actual data collection. This method can help to improve surveillance methods within the clearance area of airports and can also provide technical support for the detection of small objects in other areas.

Tropospheric and Surface Nitrogen Dioxide Changes in the Greater Toronto Area during the First Two Years of the COVID-19 Pandemic

We present tropospheric nitrogen dioxide (NO2) changes observed by the Canadian Pandora measurement program in the Greater Toronto Area (GTA), Canada, and compare the results with surface NO2 concentrations measured via in situ instruments to assess the local emission changes during the first two years of the COVID-19 pandemic. In the City of Toronto, the first lockdown period started on 15 March 2020, and continued until 24 June 2020. ECMWF Reanalysis v5 (ERA-5) wind information was used to facilitate the data analysis and reveal detailed local emission changes from different areas of the City of Toronto. Evaluating seven years of Pandora observations, a clear NO2 reduction was found, especially from the more polluted downtown Toronto and airport areas (e.g., declined by 35% to 40% in 2020 compared to the 5-year mean value from these areas) during the first two years of the pandemic. Compared to the sharp decline in NO2 emissions in 2020, the atmospheric NO2 levels in 2021 started to recover, but are still below the mean values in pre-pandemic time. For some sites, the pre-pandemic NO2 local morning rush hour peak has still not returned in 2021, indicating a change in local traffic and commuter patterns. The long-term (12 years) surface air quality record shows a statistically significant decline in NO2 with and without April to September 2020 observations (trend of −4.1%/yr and −3.9%/yr, respectively). Even considering this long-term negative trend in NO2, the observed NO2 reduction (from both Pandora and in situ) in the early stage of the pandemic is still statistically significant. By implementing the new wind-based validation method, the high-resolution satellite instrument (TROPOMI) can also capture the local NO2 emission pattern changes to a good level of agreement with the ground-based observations. The bias between ground-based and satellite observations during the pandemic was found to have a positive shift (5–12%) than the bias during the pre-pandemic period.

Gaps, Trends and Challenges in Assessing Quality of Service at Airport Terminals: A Systematic Review and Bibliometric Analysis

This study investigates the main aspects of the quality of service (QoS) assessment process at airport passenger terminals to find gaps, highlight trends, and discuss current day challenges. A systematic literature review (SLR) was conducted in Scopus and ISI Web of Science databases. Excluding redundancies, the searches resulted in an initial set of 565 articles. After preliminary steps, 61 of these studies were selected for in depth analysis. The research findings and discussions are organized into subsections focused on: (1) places of application (countries/regions); (2) airport areas; (3) evaluators profile; (4) methods; and (5) evaluation criteria. The main gaps revealed are the lack of: (a) applied studies in underdeveloped or developing countries; (b) specific studies for important airport areas, such as those related to access; (c) studies using assessments from arriving and transfer passengers, as well as from travel professionals and experts; and (d) full noncompensatory multicriteria sorting methods. In terms of trends, there is a clear advance in the use of data mining and sentiment analysis, evidencing the challenge for airport managers in dealing with the sources of online information as a management tool. Finally, the challenge of including in assessment process new criteria related to sustainability and COVID-19 era aspects is also noteworthy.

Design of Air Passenger Travel Choice Intention Prediction System Based on Deep Learning

Under the Beijing-Tianjin regional comprehensive transportation system, the flow of air passengers between multiple airports in the region is more frequent. The fundamental reason for the flow of air passengers is that there are differences in the level of service quality provided by airports and airlines in the region. Passengers’ choice intention is the consumption and purchase decision of passengers on aviation services. By constructing a Logit model, this paper analyzes the degree of influence on the travel choice intention of air passengers in the Beijing-Tianjin region from five aspects: individual passenger demographic characteristics, travel purpose, ground transportation characteristics, airport operation capacity, and airport soft power. Passengers can effectively predict the choice of air travel mode in the Beijing-Tianjin region. The results show that Beijing Capital Airport is favored by business travelers; Beijing Daxing International Airport is favored by travelers because of its fast security check-through speed; for Tianjin Binhai International Airport, the convenience of getting in and out of the airport by car and the speed of airport security check-through are two significant factors. Indicators do not affect the selection of airports; reasonable follow-up arrangements when airport flights are delayed are the only significant but negatively correlated factor; the research design results provide new ideas for the analysis of passenger travel mode selection behavior in multiple airport areas, enriching the data-driven research on transportation choices.

PM2.5‐Bound Polycyclic Aromatic Hydrocarbons (PAHs), Nitrated PAHs (NPAHs) and Oxygenated PAHs (OPAHs) in Typical Traffic‐Related Receptor Environments

AbstractPM2.5‐bound polycyclic aromatic hydrocarbons (PAHs), nitrated PAHs (NPAHs) and oxygenated PAHs (OPAHs) around roadside, port and airport areas were investigated to evaluate the impacts of vehicle, ship and aviation emissions on PAHs and their derivatives in relevant receptor environments. The PAHs concentrations in fuels increased in the following order: jet fuel < heavy fuel oil for vessel < automobile diesel fuel. However, the average mass ratio concentrations of PM2.5‐bound PAHs in roadside, port and airport areas were 42.9, 158.7 and 260.4 μg/g, respectively. The low PAHs concentrations in fuel were relevant to the high PAHs emissions. The composition of the molecular species showed that 5‐ and 6‐rings PAHs were dominated in roadside area, while 3‐ and 4‐rings PAHs were major proportions in port and airport areas. The average mass ratio concentrations of PM2.5‐bound NPAHs and OPAHs concentrations in roadside, port and airport areas were 23.5 and 115.2, 4.8 and 39.9, and 26.4 and 284.2 μg/g, respectively. The different variation tendencies between PAHs and their derivates, dominant individual NPAHs, diagnostic ratios of NPAH isomers and principal component analysis revealed that primary emission was the major contributor to NPAHs and OPAHs in three receptor environments, and secondary formation played non‐negligible roles in NPAHs formation in roadside and airport areas. In addition, 9‐nitroanthracene (9‐NAnt) and anthraquinone (ATQ) were found to be the indicatory compounds for traffic emission. Taken together, these results may provide a basic information for assessing the impact of traffic emission sources on PAC emissions to the related receptor environment.

A Multicomponent Temporal Coherence Model for 3-D Phase Unwrapping in Time-Series InSAR of Seasonal Deformation Areas

3-D phase unwrapping (PU) methods based on the 2-D linear temporal coherencemodel have been widely used in time-series interferometric synthetic aperture radar (TS-InSAR) for measuring topography and monitoring subtle deformation. However, the linear temporal coherencemodel can not characterize the coherence of highly coherent pixels accurately in seasonal deformation areas, where nonlinear deformation is deterministic and nonnegligible. Especially, for urban areas with groundwater or thermal dilation seasonal changes or permafrost regions, the nonlinear deformation is usually associated with periodic temperature changes. In this work, a general multi-component temporal coherence model, which considers multiple components including the seasonal deformation, is proposed for 3-D PU of seasonal deformation areas. Moreover, the uncertainty evaluation criterion, based on Cramér–Rao bound (CRB), is derived for TS-InSAR. The experimental results, obtained by applying the multi-component temporal coherence model to a data set acquired from January 2012 to February 2016 over the Beijing Capital International Airport area, confirm the effectiveness of the proposed method. High phase consistency, accurate corrected digital elevation model (DEM) and deformation information monitoring with high-density and high-coverage PS pixels are achieved. Under the same iterations and TS-InSAR procedure, the enhanced performance by the proposed model is illustrated by comparing with that of linear model in terms of phase consistency of 3-D phase unwrapping, PSCs selection at each step, and final results evaluation. In summary, the number of phase-consistency edges after 3-D PU is increased by about 15%, the number of final PS pixels selected with the same coherence threshold constraint is increased by about 10%, and more PS pixels provide a low uncertainty in residual topography, mean deformation velocity and seasonal amplitude estimation.

Output Targeting and Runway Utilization of Major International Airports: A Comparative Analysis Using DEA

The aviation industry is a prominent contributor to economic development. The existence of an airport hub that provides a worldwide transportation network generates economic growth, creates jobs, and facilitates international trade and tourism. This industry also helps in connecting different continents, countries, and cultures. This study utilizes the Data Envelopment Analysis models Charnes, Cooper, and Rhodes (CCR), Banker, Charnes, and Cooper (BCC), Slacks-Based Measure (SBM), and Epsilon Based Measure (EBM) in analyzing and evaluating the operational performance of the 21 major airports runway design during the years of 2016–2019 using the data of the International Civil Aviation Organization (ICAO) air transport statistics. The objective of this paper is to assess the efficiency of various airport runway configurations based on input factors such as number of runways, dimension of runways, airport area, and output factors such as annual number of flights and annual number of passengers. In the four applied models, the results indicated London Heathrow Airport (LHR) and Munich International Airport (MUC) are efficient in utilizing the runway during the considered periods. Surprisingly, airports in the Asian continent with a parallel runway design are more efficient than in North America and Europe. This study can be a valuable reference for operation managers in evaluating and benchmarking the performance of an airport with different types of runway configurations. Moreover, it can be used by decision-makers, investors, stakeholders, policymakers, private companies, and government agencies as a guideline suitable for an airport.

Top-Down aircraft detection in large-scale scenes based on multi-source data and FEF-R-CNN

ABSTRACT Aircraft is a crucial mode of transport with several strategic objectives. It is important to detect the position and number of aircraft in remote sensing images accurately. Most of the current research on aircraft detection focuses on improving algorithms or networks based on public datasets or a single remote sensing image, with limited application to large-scale remotely sensed scenes. Moreover, the detection of small and weak targets is challenging for current detection algorithms. This paper proposes a top-down method for aircraft detection in large-scale scenes. First, multi-source data and spatial constraint rules are used to search for potential airport areas in a wide range, and U-Net is then used to extract the airport area. Finally, this paper proposes a feature enhancement faster R-CNN (FEF-R-CNN) by adding a feature enhancement module to the original Faster R-CNN to improve target detection. This can enhance the aircraft feature while suppressing the background information to a certain extent, for effectively detecting small and weak aircraft targets in the airport area. Top-down aircraft detection experiments were conducted on Hainan Island and Shanghai, and 10 of the 12 airports were accurately detected. Meanwhile, the average precision (AP) of aircraft detection by FEF-R-CNN in the public dataset and four large airports in the study area reached 97.71% and 95.63%, respectively, which are 2.14% and 11.31% higher than that of the traditional Faster R-CNN, respectively. Experimental results verify the effectiveness of the proposed method for aircraft detection in large-scale remotely sensed scenes.

Enlightenment from International experiences on air pollution control in airport areas to China

The construction of China’s management and prevention and control system regarding air pollutants in airport area is of great significance to improve the regional ambient air quality in Chinese cities. By analyzing the deficiencies of air pollution control in airport areas in China and sorting out the international experience in pollution control, this paper proposes to improve the standard system of aircraft engine emission, establish a database of aircraft engine emission coefficients, carry out technical research on assessment of atmospheric impact caused by aviation emission, and explore the multiple prevention and control paths of aircraft pollution.

Radioecological studies of urban soils in the Arkhangelsk region

The aim of the study: to analyze the radioecological status of soils in the Mezen city and the Kamenka village (Mezensky district of the Arkhangelsk region) and to identify low-intensity anomalies in soil 137Cs, 226Ra, 232Th and 40K specific content on the studied territory. Location and time of the study. Field work was carried out in the summer of 2021 on the territory of the Mezen city and Kamenka village and their environs (Mezensky district of the Arkhangelsk region). Methodology. To accomplish the task, the soil from the upper 5 cm layer of Urbikvizems, Culturozems and Replantozems at 68 sites was sampled in the study area. Under laboratory conditions, the samples were air-dried and placed in Marinelli vessels to measure specific activity of isotopes by gamma spectrometry. The registration of gamma radiation from a soil sample, as well as the processing of the spectra, was carried out using the Progress-gamma software and hardware complex FVKM.412131.002-03. The energy calibration of the gamma spectrometer was carried out after each measurement using a combined control source OISN-137-1 in a 1-liter Marinelli vessel. The minimum exposure time for the counting sample was 3600 seconds. Results. The specific activity of 137Cs in the upper 5 cm layer varied from 1,6 to 24,2 Bq/kg in Mezen and from 2,4 to 26,1 Bq/kg in Kamenka, with an average value of 5,88 and 8,27 Bq/kg, respectively; higher specific activities of this radionuclide was observed in the Kamenka soils as compared with the Mezen soils. For 226Ra and 232Th higher activity was also observed in the Kamenka soils. The 40K specific content in the urban soils of the studied area was almost uniform. The specific activity of technogenic 137Cs and natural radionuclides 226Ra, 232Th and 40K in the upper 5 cm of soil layer on pastures and grasslands was comparable to the urban soils in Mezen and Kamenka. In forest soils the 137Cs specific activity was more than three times higher, reaching 65,4 Bq/kg. Analysis of the spatial distribution of the specific activity of technogenic 137Cs and natural radionuclides 40K, 226Ra and 232Th showed that small local anomalies (SLA) of 137Cs (T1/2=30.17 years) were confined to the park zone of the central and southern parts of Mezen, where 4 MLAs were recorded. The natural radionuclides 226Ra (T1/2=1590 years), 232Th (T1/2=1, 41*1010 years) and 40K (T1/2=1.3*109 years) were found mainly in meadow soddy soils on the western outskirts of the city, in areas of one-story buildings (private sector), along banks of the Tova River and also in the airport area. In the rest of the Mezen city, the measured concentrations of the studied radionuclides were minimal. The spatial distribution of the studied radionuclides, revealed in the upper soil layer in the Mezen city, was also typical for Kamenka, where SLA of 137Cs were found in the soils of park areas in the southwestern part of the village without intensive anthropogenic impact. 226Ra and 232Th were characterized by increased concentrations on the outskirts of Kamenka in the north and south. The distribution of 40K is almost uniform throughout the entire study area, including not only the outskirts, but also the central parts of the village. Conclusions. The content of natural and technogenic radionuclides in the urban soils of the Mezen city and Kamenka village do not exceed the maximum allowable concentrations and are typical for urban settlements in the Arkhangelsk region. Higher activity of 137Cs the Kamenka soils as compared with the one in the Mezen soils can be explained by varying degrees of anthropogenic impact on soils in the studied area. SLA of 137Cs in park soils are due to the minimal anthropogenic impact; moreover, the soddy soil layer firmly fixes the atmospheric input by humic acids. SLA of 226Ra and 232Th in the meadow soddy is soils closely associated with the underlying sandy quaternary deposits, concentrating the elements. The SLA of potassium in these areas can be explained by the dense herbaceous vegetation, which easily involves the element in the biological cycle, thus contributing to its accumulation in the upper soil horizon.