Thematic Maps Research Articles

Bibliometric Study of Metaheuristics Application for Solving Inventory Routing Problem

Purpose: The objective of this study is to perform a review and thematic analysis focusing on the application of metaheuristics for addressing the inventory routing problem. Employing bibliometric methods, this research endeavors to conduct a comprehensive assessment of the current scholarly literature, aiming to enhance and expand upon prior research findings. Additionally, this study will review metaheuristics algorithms utilized in previous studies to provide a comprehensive understanding of their application in this context. Design/methodology/approach: A bibliometric analysis was performed on IRP research, involving 346 publications retrieved from the Scopus database spanning the period 1978 to 2023. Biblioshiny and VOSviewer were employed for data analysis to identify significant patterns and trends in the application of metaheuristics for addressing the inventory routing problem. Results and discussions: This study seeks to analyze co-citation, keyword co-occurrence, thematic mapping, and thematic evolution to gain insights into the field. The findings indicate that the top 10 authors with high citation indexes of the authors, and top 10 nations with articles addressing IRP. The thematic mapping indicates four key areas of research within applying heuristics for solving inventory and transportation problem. The motor themes focus on inventory routing problem, such as stochastic demand, column generation, scheduling and time window are shaping the future of manufacturing. The study reveals that the Genetic Algorithm emerges as the predominant choice. Research Implications: Through this research, it provides researchers and businesses seeking solutions to real-world IRR problems with a comprehensive analysis from multiple perspectives, thereby enabling focused in-depth research and effective utilization of research findings. Originality/Value: This study contributes to the literature by reviewing thematic analysis of metaheuristic applications for the IRP problem. The value of this research is evidenced by researchers and professionals, as it helps identify the gaps in the literature and provide insightful information about the level of research within the field at the time, predict future research directions, and propose innovative avenues for advancing the field.

Emerging trends of environmental accounting research: a science mapping approach

Purpose This paper aims to provide a comprehensive knowledge structure for environmental accounting (EA) research by identifying research hotspots and frontiers and suggesting future trends for scholarly investigation. Design/methodology/approach Using the bibliometric method, the paper analyzed 321 academic articles and reviews in international journals from the Scopus database. Science mapping, including strategic diagrams, network analysis and thematic maps, was used to analyze the evolution of topics and to recommend future research trends. Findings EA research is an emerging trend. This study presents the landscape of EA research by constructing the “synthesis house of knowledge” in EA. Significant EA research areas were identified and future research trends were suggested based on the results. Practical implications This paper provides insights into the current state of EA research and identifies potential future research trends that can help scholars and experts develop and stimulate further advancement of the research in this field. Social implications Results may motivate policymakers and government agencies to formulate regulations to enforce appropriate corporate environmental strategies to better manage environmental costs and reduce community environmental impact. Originality/value The study provides an intellectually structured literature review of the EA research field; identifies the main themes through the innovative use of network analysis, strategic diagrams and thematic maps; highlights research gaps; and offers potential research questions and suggestions for future research. The novelty of this paper lies in the “synthesis house of knowledge” in EA and the research gaps and potential and specific research questions constructed from the findings.

Landscape Analysis and Coastal Planning: Ría de Arosa (Pontevedra, Spain)

Coastal areas are fundamental enclaves for economic and recreational development, attracting a large population worldwide. However, these factors have generated significant pressure on the coastal landscape, requiring territorial management strategies to protect and control its degradation. The coastal landscape, composed of abiotic and biotic elements, plays a crucial role in human wellbeing and the conservation of the natural environment. This study focuses on the southeast area of the Ría de Arosa, on the western coast of Galicia, known for its unique geomorphological features such as estuaries. The main objective is to generate high-resolution thematic maps for territorial planning and conservation of the natural and cultural landscape. Using methodologies based on geographic information systems, various factors of the natural environment will be analyzed to obtain objective results, presenting cartography of landscape units, along with quality and fragility landscape maps. In addition, active strategies are proposed such as multiple land uses or the development of geotourism to preserve, exploit, and manage the landscape better. This work contributes to better understanding the vulnerability of the coastal landscape and provides practical tools for its sustainable management in a context of accelerated global change.

Remote Sensing and GIS Aided Land and Water Management Plan Preparation of Watershed - A Case Study

Remote Sensing and GIS techniques were applied for the integrated watershed planning of Bajpur watershed in Khurda sadar block of Khurda district (Orissa). IRS ID, LISS III F.c.c. satellite images and toposheet number 73H/12 together with verification were used as the data source. Thematic maps like land use/ land cover map, hydrogeomorphology map, soil map, slope map, drainage and surface water body maps were prepared by using both satellite imageries and survey ofIndia toposheet. By integrating all these maps in GIS, water and land resource management plans were developed. The water resources development plan indicates the sites for groundwater exploitation and sites for surface water development including sites for different soil and water conservation structures. Eleven action items were suggested under land resource action plan with specific sites, aerial locations and maps. Thus remote sensing technology demonstrates the usefulness for providing up-to-date, reliable and accurate information on different natural resources of the watershed which is a pre-requisite for an integrated approach to identify the suitable sites for water harvesting structures, check dams, farm ponds, percolation tanks, nala bunds etc. The GIS technique is helpful to integrate the information into a composite land unit development map to generate alternate land use system for sustainable development of the watershed.

GIS-based groundwater potential zonation and assessment of groundwater quality and suitability for drinking and irrigation purposes in the Shanmughanadhi river basin, south India

To develop a specific watershed scenario, the quantity and quality of groundwater resources must be assessed and monitored locally. In the present study, an attempt has been made to identify possible groundwater potential zones, determine the quality of groundwater resources in this region, and evaluate their suitability for drinking and irrigation purposes. This goal has been achieved with the combined use of the weighted index overlay analysis (WIOA), groundwater quality index (GWQI), Remote Sensing (RS), and Geographic Information System (GIS) techniques. The proposed study area, Shanmuganadhi, is marked with superior rainfall, oscillating temperature, and runoff with litho-units encompassing charnockite (CHK) and hornblende biotite gneiss (HBG). Over-abstraction of groundwater and intensive agricultural practices have resulted in declining and degrading water quantity and quality in this area. The resulting integrated thematic map has been classified into five groundwater potential zones, namely poor, low, moderate, high, and very high, covering 3.2, 45.49, 15.3, 27.9, and 8.1% area, respectively. Sixty groundwater samples were collected during the pre-monsoon (PRM) and analyzed for major Physico-chemical parameters. From the water quality index assessment, over 28.0% of the samples fall within the “excellent,” 8.0% “good” and 4.0% “poor” in CHK, followed by 5.71% “excellent,” 48.57% “good,” 37.14% “poor,” 5.71% “very poor” and 2.87% “unsuitable” for drinking purposes in HBG terrain of this region. Irrigation indices also demonstrated that most of the groundwater samples in the CHK and HBG exposed zones exhibited good classes for irrigation purposes, as evidenced by the SAR and %Na+. The outcome, which shows the research area's groundwater potential zones, is beneficial for improved groundwater resource planning and management. It is concluded that for larger-scale groundwater-quality investigation and assessment, the groundwater quality index-making approach (GWQI) is more practical and dependable. Water planners and decision-makers may find it helpful in effectively controlling and monitoring groundwater quality at the basin or watershed scale. Reducing urban land use and natural runoff from farms can help prevent water contamination in some regions. To ensure the safe use of groundwater, long-term monitoring of these groundwater was suggested.

Living with diabetes in Northeast India: An exploration of psychosocial factors in management

PurposeIndia is the ‘Diabetes Capital of the World’ and accounts for one in seven adults living with diabetes worldwide. Psychosocial, economic, and cultural correlates of disease have important implications for disease management but are rarely explored in India. The purpose of this study is to address psychosocial and cultural factors in diabetes management in the northeastern region of India which has a high disease burden. MethodsThis study attempts to explore the psychosocial and lived experience of diabetes in the northeastern state of Meghalaya. The sample was selected from individuals attending an outpatient facility of a multi-speciality clinic. Semi-structured interviews were conducted with 25 individuals (13 women and 12 men), above the age of 40 years, who had been diagnosed with diabetes for at least 6 months. The narratives were analysed using thematic analysis. ResultsUsing the social cognitive framework, themes were organized in terms of a thematic map linking knowledge of diabetes to the perception of diabetes as ‘a silent killer’, to coping, leading to self-efficacy. However high self-efficacy, over time, may lead to complacency, disrupting health behaviours and requiring re-establishment of those behaviours. Adequate knowledge along with cognitive adaptation and self-efficacy were important constructs that contributed to behaviour change and maintenance. Elements of the cultural context were observed in the spiritual aspects of adaptation, the socially isolating consequences of diabetes, as well as gender differences in social support and management. ConclusionUnderstanding the lived experiences of patients contributes to planning more effective interventions keeping the social and cultural context in mind for more effective management of diabetes. Additionally, acknowledging and supporting women's needs in diabetes management is called for.

High-Risk Areas for Congenital Zika Syndrome in Rio de Janeiro: Spatial Cluster Detection

Brazil reported 18,282 suspected congenital Zika syndrome (CZS) cases up to 2018 and accounts for 61.4% of the total reported Zika cases in the Americas in the period. To detect high-risk areas for children with CZS in the city of Rio de Janeiro, we used cluster detection and thematic maps. We analyzed data using a Poisson model in Satscan 10.1.3 software. We also analyzed the records of children with CZS from 2015 to 2016 to describe the clinical and epidemiological maternal and child profile, as well as live births in 2016 and the social development index (SDI) by neighborhood. In 2015 and 2016, the incidence rates of CZS were 8.84 and 46.96 per 100,000 live births in the city, respectively. Severe congenital findings such as microcephaly and brain damage, osteoarticular impairment, ocular abnormalities, and hearing loss were observed in 47 children. The spatial distribution of CZS was concentrated in the north and west zones in heterogeneous neighborhoods. The neighborhoods with the highest occurrence of CZS cases were found to have the worst SDIs. Stascan detected three spatial clusters in the north zone, where the SDI is lower. The clusters presented high relative risks for CZS (7.86, 1.46, and 2.08), although they were not statistically significant. Our findings highlight a higher occurrence of CZS in areas with less favorable socioeconomic conditions.

Preparation of a thematic map of agroecological crops using Google Earth

In a context where agroecology has become an increasingly relevant alternative to promote sustainable and environmentally friendly agricultural practices, this project seeks to provide an efficient tool for mapping and visualizing agroecological crops in a specific geographic area, allowing farmers, researchers, and planners to evaluate and promote sustainable agricultural practices. This project will describe the methodology used for creating the thematic map, which will include data collection on agroecological crops through surveys and records, as well as the processing and analysis of this information within the Google Earth environment. The accuracy and reliability of the mapping technology used will be evaluated, ensuring that the results are dependable and precise. The obtained results will provide a clear and accessible visual representation of the spatial distribution of agroecological crops, thereby facilitating informed decision-making for agricultural planning and the promotion of sustainable practices. The ultimate goal is to contribute to the promotion and practical application of agroecology by providing a useful and easily accessible tool for mapping agroecological crops in a specific geographic area. The hope is to foster interest in sustainable agriculture and encourage the adoption of environmentally friendly practices in the agricultural sector, thus contributing to a more sustainable and equitable future in agriculture.

Landscape Mapping: Investigating the Scope of Information Systems and Technology in Contemporary Organizations

In today's fast-paced business environment, the integration of Information Systems (IS) and technology is crucial for organizational success. This research aims to explore the landscape of Information Systems and Technology (IST) within contemporary organizations, investigating its multifaceted dimensions across diverse organizational contexts. Through a systematic examination, this study seeks to shed light on the intricate relationships between technology and organizational functionality, offering insights into IST deployment, utilization, and management strategies. By employing bibliometric analysis, thematic mapping, and author collaboration network analysis, this research provides a comprehensive understanding of IST research dynamics, trends, and future directions. The findings not only contribute to scholarly discourse but also offer practical implications for organizational stakeholders, policymakers, and technology practitioners.

Delineation of Groundwater Potential Zones Using Remote Sensing and Gis Techniques of Phewa Watershed (Nepal)

Groundwater is the primary source of water in the study region, both for domestic and agricultural needs. The main objective of this research is to identify the groundwater potential zones via remote sensing (RS) and Geographic information system (GIS), which is essential in evaluating, preserving, and monitoring various groundwater-related development programs. Man-made pressures include over-exploitation of groundwater and climate changes have led to a strain on groundwater resources. As the use of consumable water increases for human consumption, agriculture, industrial growth, municipal, and pharmaceutical needs to evaluate the groundwater potential and aquifer productivity also increase. Groundwater inspections have been historically done by field survey method, which is inefficient or not practical in terms of time and resources. Arc GIS software is utilized to manipulate datasets. The LULC map of the study area will be developed using Landsat 8 satellite data. A soil map and rainfall map will be created using the data sources from USGS, a Parent soil map will creates using the data from NARC and slope map, lineament density and drainage density from ASTER from earth data. Seven thematic maps will be applied, each with appropriate weight and rank assigned based on its characteristics and connection with groundwater. All the thematic layers combine into a GIS domain, and weight values are put to the attribute table for each polygon. The groundwater potential zone map will be classified into different zones, i.e., very poor, poor, moderate, good, and very good. These results will help hydrogeologists, decision-makers, planners, and local authorities formulate better groundwater resource planning in the Phewa watershed area.

Global research trends in Total Body Irradiation: a bibliometric analysis.

This manuscript presents a bibliometric and visualization analysis of Total Body Irradiation (TBI) research, aiming to elucidate trends, gaps, and future directions in the field. This study aims to provide a comprehensive overview of the global research landscape of TBI, highlighting its key contributions, evolving trends, and potential areas for future exploration. The data for this study were extracted from the Web of Science Core Collection (WoSCC), encompassing articles published up to May 2023. The analysis included original studies, abstracts, and review articles focusing on TBI-related research. Bibliometric indicators such as total publications (TP), total citations (TC), and citations per publication (C/P) were utilized to assess the research output and impact. Visualization tools such as VOS Viewer were employed for thematic mapping and to illustrate international collaboration networks. The analysis revealed a substantial body of literature, with 7,315 articles published by 2,650 institutions involving, 13,979 authors. Full-length articles were predominant, highlighting their central role in the dissemination of TBI research. The authorship pattern indicated a diverse range of scholarly influences, with both established and emerging researchers contributing significantly. The USA led in global contributions, with significant international collaborations observed. Recent research trends have focused on refining TBI treatment techniques, investigating long-term patient effects, and advancing dosimetry and biomarker studies for radiation exposure assessments. TBI research exhibits a dynamic and multifaceted landscape, driven by global collaboration and innovation. It highlights the clinical challenges of TBI, such as its adverse effects and the need for tailored treatments in pediatric cases. Crucially, the study also acknowledges the fundamental science underpinning TBI, including its effects on inflammatory and apoptotic pathways, DNA damage, and the varied sensitivity of cells and tissues. This dual focus enhances our understanding of TBI, guiding future research toward innovative solutions and comprehensive care.

Exploring Nutraceuticals: A Comprehensive Examination of Inception, Thematic Mapping, Evolution, Emerging Trends, and Gaps

Nutraceuticals (NCs) refer to food or dietary components that include medicinal or health-promoting properties, potentially aiding in preventing and managing specific diseases. Nutraceutical research (NCR) has made significant strides, but several gaps still need to be addressed. The study's main objective is to analyze the inception and current state of NCs, identify research gaps, and map out potential areas for future investigation in the field of NCR. The study utilized the Scopus database to gather bibliographic data through MesH-generated keywords. The search encompassed English-language original research without limitations on chronology or geography. The PRISMA methodology was employed to refine the search results. The Bibliometrix software tool, based on the R programming language, analyzes 16,030 research publications. Since 1993, NCR has experienced exponential growth of 27.27% (R2 = 0.929). Italy and the United States are the leading countries regarding publications and citations. The most prolific scholar in NCR is McClements, D.J. The research findings highlight that the antioxidant properties of plant extracts, pathophysiology of diet- and age-induced diabetes, pharmaceutical formulations, and drug delivery routes are the most cited research directions. Thematic mapping of NCR reveals a need for motor and emerging themes, with key clusters including "nutraceuticals," "antioxidant activity," and "curcumin." The thematic evolution of NCR's themes experienced a turning point in 2020. As a result, trending topics in NCR include Castanea sativa, authentication, lipophilicity, bioactive compounds, molecular docking, COVID-19, autophagy, gut microbiota, and sustainability. The study helps bridge research gaps and promotes the safe and effective use of nutraceuticals for human health. It provides valuable benefits for researchers, including identifying interesting authors, popular research areas, and collaboration opportunities. Furthermore, the findings can inform decision-makers in making strategic and informed decisions regarding policy, finance, and resource allocation in the field of nutraceutical research.

3D Point Cloud and GIS Approach to Assess Street Physical Attributes

The present research explores an innovative approach to objectively assessing urban streets attributes using 3D point clouds and Geographic Information Systems (GIS). Urban streets are vital components of cities, playing a significant role in the lives of their residents. Usually, the evaluation of some of their physical attributes has been subjective, but this study leverages 3D point clouds and digital terrain models (DTM) to provide a more objective perspective. This article undertakes a micro-urban analysis of basic physical characteristics (slope, width, and human scale) of a representative street in the historic centre of Valencia (Spain), utilizing 3D laser-scanned point clouds and GIS tools. Applying the proposed methodology, thematic maps were generated, facilitating the objective identification of areas with physical attributes more conducive to suitable pedestrian dynamics. This approach provides a comprehensive understanding of urban street attributes, emphasizing the importance of addressing their assessment through advanced digital technologies. Moreover, this versatile methodology has diverse applications, contributing to social sustainability by enhancing the quality of urban streets and open spaces.

Proposing Thematic Mapping for Integrated Risk Communication: A study of British & Japanese perspectives in flood-prone communities

Modern flood risk communication continues to lack the input of different stakeholder levels and as a result, there has been an insufficiency to construct communication that is inclusive of all stakeholders. There is also still an absence of consideration of context-specific information that helps to shape the communication crafting process. This study sought to establish the above through the creation of a thematic map (a visual display based on themes), merging top-down and bottom-up approaches to create a clearer picture of important factors for risk communication within the specific contexts being observed. The research team conducted 16 semi-structured interviews and focus groups with 4 different types of stakeholders at 2 rural sites in the UK and 2 rural sites in Japan. The results outlined five key themes that underpin integrated risk communication, establishing the thematic map – Individual Circumstances, Community Structure, Impact Scale, Response Capacity, and Social Barriers. These findings are important in beginning to help conceptualise how current DRR efforts can be enhanced and in presenting an integrated approach to risk communication that helps to reduce unnecessary complexity and inaccessibility. However, further replications of the study are needed at other sites across the world to test the robustness and adaptability of this kind of modelling.

Road infrastructure maintenance: Operative method for interventions’ ranking

Planned maintenance of transportation infrastructure is a milestone in maintaining the functionality and safety of road networks. This paper is part of this process and aims to propose an easily applicable and versatile operational methodology for prioritizing maintenance interventions generally scheduled on road networks of considerable extent. An operational methodology for ranking and prioritizing maintenance interventions is proposed; this method is applicable to road networks of such size that direct inspection of each situation is impossible. The core of the paper is the analytical description of this methodology, based on a weighted sum function of three blocks: i) Category − is a score related to the purpose of the intervention; ii) Asset − is a score due to the road on which the intervention is located (considering Average Daily Traffic, Accidentality, Social Cost, Road Type, Routes); iii) Typology − is a score related to the element on which the intervention is being carried out. After describing the parameters and the implementation procedure for each block, the calibration of the relative weights is described, and a sensitivity analysis is performed. In the case study, the proposed methodology is applied to the ANAS corporate network in Italy. This case study will highlight the usefulness, versatility, and operability of the methodology with GIS (Geographic Information System) tools for implementing thematic maps. A concluding section concerns the addition of a scoring block − Spatial Context − as an additional differentiating factor due to the spatial context of each road.

Needs and Experiences With Health Care Providers of Adult Rare Disease Patients and Caregivers of People With Rare Diseases: Protocol for a Qualitative Study.

Rare diseases in Europe are defined as diseases with a prevalence of less than 5 per 10,000 people. Despite their individual rarity, the total number of rare diseases is considerable. Rare diseases are often chronic and complex, affecting physical, mental, and neurological health. People with rare diseases face challenges such as delayed diagnosis, limited medical support, and financial burden. Caregivers, usually family members, bear significant physical and emotional burdens. Understanding the experiences of patients with rare disease and their caregivers is critical to effective care, but this is still underresearched. Better support and understanding of the challenges faced by both patients and caregivers is clearly needed. Our study will explore the experiences and needs of people with rare diseases and caregivers of people with rare diseases in relation to accessing health services. This study aims to explore the experiences of patients with rare disease and their caregivers with Slovenian health care providers and to create a theoretical model of needs and experiences. This is a qualitative thematic analysis study, using the codebook approach. The study will conduct semi-open-ended interviews to understand the experiences and needs of people with rare diseases and caregivers of people with rare diseases in relation to accessing health services. The interview questions will be based on an extensive literature review. Data from the interviews will be analyzed using thematic analysis to identify patterns and build a thematic map. Data will be analyzed by at least 2 coders. To ensure reliability, respondent validation will be conducted and negative cases investigated. Any discrepancies will be resolved by consulting the entire research team until a consensus is reached. This study was not specifically funded. However, author TČ is supported by grant number P3-0339 from the Slovenian Agency for Research and Innovation. This study was approved by the Medical Ethics Committee of the Republic of Slovenia (0120-47/2022/3), and recruitment is expected to begin in May 2024, with data analysis results anticipated by the end of 2025. This study will fill an important research gap in Slovenia by exploring the needs and experiences of people living with rare diseases and their caregivers. The results will contribute to the broader field of rare diseases and add knowledge that can inform future research processes and intervention strategies. It also aims to identify neglected areas that have a significant impact on the lives of people with rare diseases. This study is important not only because it addresses the immediate needs of the Slovenian rare disease community, but also because it contributes to a discussion on patient-centered care, health policy design, and the inclusion of psychosocial components in health care. PRR1-10.2196/53362.

Social Inequalities in Child Development: Analysis of Low-Birth-Weight Trends in Brazil, 2010-2020.

Low birth weight (LBW) is a global issue prevalent in low-income countries. Economic assessments of interventions to reduce this burden are crucial to guide health policies. However, there is a relative scarcity of research that illustrates the magnitude of LBW by country and region to support the design of public policies. This study aimed to analyze the temporal trend of fetal growth in newborns in Brazil between 2010 and 2020. A time series study was conducted using data from the Live Births Information System (SINASC), which is managed by the Department of Information and Informatics of the Unified Health System (DATASUS) of the Brazilian Ministry of Health. The Prais-Winsten linear model was applied to analyze the annual proportions of LBW. The annual percentage changes (APC) and their respective 95% confidence intervals (95%CI) were calculated. Prevalence rate averages of LBW were calculated and displayed on thematic maps to visualize the evolution dynamics in each Federation Unit (FU). A total of 31,887,329 women from all Federative Units of Brazil were included in the study from 2010 to 2020. The Southeast region had the largest proportion of participants, with records from 2015 accounting for 9.5% of the total. Among the women in the study, 49.6% were between the ages of 20 and 29, and the majority (75.5%) had between 8 and 12 years of schooling. The newborns of these women were predominantly male (58.8%) and non-white (59.5%). The study found that there was a trend towards stabilization of increasing proportions of LBW in the North, Northeast, and Centre-West regions between 2010 and 2020. In Brazil and other regions, these tendencies remained stable. To improve living conditions and reduce social inequalities and health inequities, public policies and actions are necessary. Strengthening the Unified Health System (SUS), income transfer programs, quota policies for vulnerable groups, and gender equality measures such as improving access to education for women and the labor sector are among the suggested approaches.

Intellectual capital and human resources: A 26-year thematic systematic review

Intellectual capital is the sum of whatever organization resources that contribute to value and competitiveness of a company. Though some metrics have been developed for measuring individual and collective capabilities, from Human Resources point of view, it is difficult to translate the concept of “intellectual capital” into, for example, financial terms. To better understand the field, the aim this study is to draw a thematic analysis on the relations between Intellectual Capital and Human Resources. We provide an overview of publications and their course in this subject. We accessed two widely used databases (Scopus and Web of Science) to produce the review. We set a period of 26 years marked by the subject’s theme entry. In order to handle duplicates, we used RStudio Software and to manage the data we used Bibliometrix package tools, said: biblioshiny and thematic map. Our analysis revealed how intellectual capital and human resources are important for generating value in organizations. Some results explores innovative ways of managing these resources, such as integrating technological, commercial, organizational and cultural aspects, using dynamic systems modeling, investing in long-term strategies and in education and training, and studying the relationship between green intellectual capital and green human resources management.

Groundwater Potential Assessment in the Rural Loulouni Municipality (Southern Mali): Decision Tree Approach

Groundwater Potential Assessment in the Rural Loulouni Municipality (Southern Mali): Decision Tree Approach

Generation of PM10 Map with Sentinel-2 Satellite Images: The Case of Çankırı Province

Air pollution, which is characterized as a global environmental problem, negatively affects life in Turkey as a result of the increase in the amount of energy needed and uncontrolled construction. In order to minimize the health impacts of air pollution, air quality should be monitored regularly and necessary steps should be taken to improve it. With the innovations in satellite technologies, the air quality of large areas can be monitored with the help of satellite images and effective solutions can be produced in many areas such as the detection of air pollutant parameters and the creation of thematic maps. The main objective of the research is to investigate the relationship between in-situ measured PM10 parameters and Sentinel-2 satellite data and to map PM10 based on this relationship. In this context, PM10 parameters measured in the field on two different dates and Sentinel-2 satellite images dated 22.11.2021 and 16.04.2022 were used as data sources. The relationship between the data used was established by multiple regression analysis. The coefficients obtained from the analysis results were applied to the relevant bands and thematic maps were created using satellite images. The correlation coefficients of 0.80 and 0.79 calculated by regression analyses indicate that sufficient accuracy was achieved in the research. The results of the study show that satellite imagery provides accurate data for PM10 estimate and that pollution exceeds World Health Organization limits in the road transportation network and industrial areas.