International Journal of Environment and Geoinformatics最新文献

{"title":"Local Climate Zone Classification Using YOLOV8 Modeling in Instance Segmentation Method","authors":"Melike Nicancı Sinanoğlu, Şinasi Kaya","doi":"10.30897/ijegeo.1456352","DOIUrl":"https://doi.org/10.30897/ijegeo.1456352","url":null,"abstract":"Local climate zones play a crucial role in understanding the microclimates within urban areas, contributing to urban planning, environmental sustainability, and human comfort. Istanbul, as a transcontinental city straddling Europe and Asia, exhibits a rich blend of historical and modern architecture, varying land use patterns, and diverse microclimates. In this study, using high-resolution Google Earth imagery for explores the classification, utilizing a cutting-edge deep learning architecture YOLOv8 model, of Local Climate Zones (LCZ) in Istanbul, a city known for its diverse and dynamic urban landscape. The latest cutting-edge YOLO model, YOLOv8, is designed for tasks such as object detection, image classification, and instance segmentation, showcasing its versatility in computer vision applications. Labeled data was created according to WUDAPT's sharing the things to consider when \"create LCZ training areas\" from google earth images. The model is trained on high-resolution, bird's-eye-view images of Istanbul obtained from Google Earth, meticulously labeled with LCZ categories. The results obtained from the test images demonstrate the model's efficacy in accurately classifying and segmenting LCZ categories, providing valuable insights into the local climate variations within Istanbul. This research contributes to the field of urban climate studies by offering a robust and scalable approach to LCZ classification using advanced deep learning techniques. The outcomes hold implications for urban planning, environmental sustainability, and informed decision-making in the context of Istanbul's unique and diverse urban environment.","PeriodicalId":176110,"journal":{"name":"International Journal of Environment and Geoinformatics","volume":"5 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141335662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"SWOT-AHP Analysis of Different Colours of Hydrogen for Decarbonization of Shipping","authors":"Ömer Berkehan İnal, Yunus Emre Şenol","doi":"10.30897/ijegeo.1480096","DOIUrl":"https://doi.org/10.30897/ijegeo.1480096","url":null,"abstract":"Maritime transportation has experienced significant growth since 1990, with its use surging by over 150%, constituting approximately 90% of global transportation for goods transfer. However, the overwhelming majority of the global maritime fleet still relies heavily on fossil fuels, leading to substantial greenhouse gas (GHG) emissions. To address these challenges, the International Maritime Organization (IMO) has implemented regulations and initiatives to mitigate CO2 and GHG emissions from shipping. Among these, the use of hydrogen emerges as a promising option for achieving sustainable decarbonization of maritime transportation. This paper investigates grey, blue, and green hydrogen production methods in the context of the shipping industry. Through strength, weakness, opportunity, and threat (SWOT) analysis combined with Analytical Hierarchy Process (AHP) methodology, the strengths, weaknesses, opportunities, and threats associated with each hydrogen type are prioritised and evaluated. The findings reveal nuanced shifts in strategic considerations during transitions between hydrogen types, highlighting the importance of regulatory support and technological advancements in driving the transition towards cleaner hydrogen production methods. The study concludes by emphasizing the need for strategic planning and technological advances to overcome challenges and capitalize on opportunities for a more sustainable and resilient energy future in maritime transportation.","PeriodicalId":176110,"journal":{"name":"International Journal of Environment and Geoinformatics","volume":"5 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141335622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Use of GLCM Entropy Parameter in the Analysis of Urban Function Spaces; Antalya City Example","authors":"Gökhan Gökdemir, Mustafa Ertürk","doi":"10.30897/ijegeo.1416618","DOIUrl":"https://doi.org/10.30897/ijegeo.1416618","url":null,"abstract":"Urban spaces are concentrated in certain functions to meet the needs and desires of the urbanites. However, for each city, different functions and the value of the space to meet these functions are different. In this study, spatial entropy analysis of Antalya, the most important tourism city of our country, was carried out through GLCM Entropy analysis, one of the texture parameter methods. In the study, firstly, function areas and function spaces were determined. A 5-meter resolution satellite image for 2022 was obtained to perform texture parameter analyses. The satellite image was scaled to include the whole city and urban spaces with QGIS software, and then the general entropy values of the city were calculated with Definies software. Then, selected urban spaces with different functions were extracted from the satellite image and subjected to entropy analyses. According to the results obtained, the areas with the highest entropy difference for Antalya city were determined as airport and harbour, which are transportation and trade places. For Antalya, which has poor road access to the world due to geographical reasons, it is seen as an important determination in terms of analysis that the places representing air and sea connection come to the fore.","PeriodicalId":176110,"journal":{"name":"International Journal of Environment and Geoinformatics","volume":"5 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141335667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Geospatial Assessment of Population and Urban Growth Using Exponential Growth Model: A case study of Ibeju-Lekki Local Government Area, Lagos State.","authors":"Temiloluwa Adekunle, Luqman Muhammed, Segun Stephen Folorunso, Abdulrahman Raheem","doi":"10.30897/ijegeo.1373666","DOIUrl":"https://doi.org/10.30897/ijegeo.1373666","url":null,"abstract":"The rapid population growth in Ibeju-Lekki, Lagos State, Nigeria, has caused many challenges such as infrastructure pressure, environmental degradation and social unrest. To investigate the relationship between population growth and urban expansion in Ibeju-Lekki, Lagos state from 1991 to 2022, a geospatial assessment was conducted. \u0000According to the study, the population of Ibeju-Lekki experienced an average annual growth rate of 4.5% from 1991 to 2022. This growth can be attributed in large part to migration from rural areas and natural population increase. Interestingly, the study also revealed that the population growth rate was higher in urban areas than in rural ones. Additionally, the research found that the urban expansion in Ibeju-Lekki was swift, with the built-up area increasing by an average of 10% annually. \u0000Overall, these findings suggest that the government should adopt measures aimed at managing population growth and promoting sustainable development such as investing in infrastructure, improving environmental management and promoting social inclusion to mitigate the negative impacts of population growth in Ibeju-Lekki, Lagos state. These measures can help alleviate the strain on the region's resources and infrastructure caused by rapid population growth and urbanization.","PeriodicalId":176110,"journal":{"name":"International Journal of Environment and Geoinformatics","volume":"6 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141335521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Water Resources Availability and Accessibility for Water Security and Improved Livelihoods in Kenyan Drylands; Case Study of Isiolo and Samburu Counties","authors":"Clifford Obiero, M. Makokha, Hosea Mwangi, David Mburu, Wycliffe Nyangau, Emmanuel Abban Baiddoo","doi":"10.30897/ijegeo.1390273","DOIUrl":"https://doi.org/10.30897/ijegeo.1390273","url":null,"abstract":"This research presents a comprehensive study on water resources in the semi-arid regions of Isiolo and Samburu counties in Kenya, with a focus on the conservancies. The study employed a multidisciplinary approach to evaluate water availability, accessibility, quality, and suitability for improved livelihoods in these regions. Data was collected through literature reviews, site visits, and laboratory experiments, with a specific focus on groundwater and surface water sources. Our study revealed that the primary source of domestic water was from boreholes. They had an average depth of approximately 70 m, with average yields of 2 to 6 m3/hr and were strategically located along the riparian areas of Laggas, which are fairly fractured, allowing for recharge of floodwater. Some areas had poor groundwater yields of 1- 2 m3/hr which could be attributed to the hard geological formations and limited recharge areas within the region. The areas geological composition comprises of volcanic layers of basalts, trachytes, phonolites overlain by regolith, which retain water except the basalts and trachytes have limited water storage capacity resulting into poor yields when fractured. There was a diversification of water resource use including; water pans, springs, rivers, boreholes, earth dams, rock catchment and gravity water supply to curb seasonality. The TDS, pH, dissolved oxygen (DO), and electrical conductivity (EC) were within the WHO recommended standards except for variations such as high alkalinity, high fluoride levels, and excess algae observed especially in the water pans indicating the presence of pollution. Identified challenges included: construction and design problems, improper siting, siltation, lack of protection, absence of spillways and silt traps, and contamination by livestock and wildlife. The research highlights the significance of diversified water sources, alternative energy solutions, groundwater potential, and community-based management for addressing water scarcity and improving access to clean and safe water for arid livelihoods sustainability.","PeriodicalId":176110,"journal":{"name":"International Journal of Environment and Geoinformatics","volume":"5 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141335634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Complementarity for Wind Power in Turkey: A Correlation Analysis Using XGBoost","authors":"Gokce Kurucu, Semih Yumuşak","doi":"10.30897/ijegeo.1437209","DOIUrl":"https://doi.org/10.30897/ijegeo.1437209","url":null,"abstract":"Generation from resources such as wind power and photovoltaics are highly variable and relatively unpredictable. This variability has its own cost such that when the wind and photovoltaics happen to be low due to weather conditions, some other energy source should substitute them to satisfy the demand via market forces. The question is, to which extent does the thermal leg or the reservoir storage hydropower plants fill or substitute the gap in such cases? This is examined in the literature as the complementarity between the variable renewables and alternative sources of energy. For the purpose of answering this question, using hourly data for the period between 2015 and 2020 from Turkey, generation from the thermal leg and generation from reservoir storage hydropower plants are predicted with XGBoost, a machine learning algorithm, for different price and generation levels of wind power. The results point to a positive correlation between wind and reservoir storage hydropower, which concludes as the absence of complementarity between wind power and reservoir storage hydropower for the Turkish case. We comment that the feed-in-tariff system which guaranteed a price in US dollar terms per KwH of energy from reservoir storage hydropower decreased the incentives for substitution of wind power, cancelling out the balancing function of the reservoir storage hydropower. On the other hand, for positive prices, the natural gas fueled plants seem to substitute %63-%116 of the loss in wind power and the rest of the thermal leg happens to substitute %43-%59 of the loss in wind power, according to our calculations. These results point to a complementarity (over-substitution in this case) between wind power and the thermal leg.","PeriodicalId":176110,"journal":{"name":"International Journal of Environment and Geoinformatics","volume":"4 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141335643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction of Precipitation using Multiscale Geographically Weighted Regression","authors":"Murat Taşyürek, Mete Çelik, Ali Ümran Kömüşçü, Filiz Dadaser-celik","doi":"10.30897/ijegeo.1399172","DOIUrl":"https://doi.org/10.30897/ijegeo.1399172","url":null,"abstract":"Prediction of precipitation at locations which lack meteorological measurements is a challenging task in hydrological applications. In this study we aimed to demonstrate potential use of multiscale geographically weighted regression (MGWR) method used to predict precipitation based on relevant meteorological parameters. Geographically weighted regression (GWR) is a regression technique proposed to explore spatial non-stationary relationships. Compared to the linear regression technique, GWR considers the dynamics of local behaviour and, therefore provides an improved representation of spatial variations in relationships. Multiscale geographically weighted regression (MGWR) is a modified version of GWR that examines multiscale processes by providing a scalable and flexible framework. In this study, the MGWR model was used to predict precipitation, which is an essential problem not only in meteorology and climatology, but also in many other disciplines, such as geography and ecology. A meteorological dataset including elevation, precipitation, air temperature, air pressure, relative humidity, and cloud cover data belonging to Türkiye was used, and the performance of the MGWR was assessed in comparison with that of global regression and classical GWR. Experimental evaluations demonstrated that the MGWR model outperformed other approaches in precipitation prediction.","PeriodicalId":176110,"journal":{"name":"International Journal of Environment and Geoinformatics","volume":"78 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141357743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Earthquake Risk Assessment Using GIS-Based Analytical Hierarchy Process (AHP): The Case of Bitlis Province (Türkiye)","authors":"Elif SEVGİ BİRİNCİOĞLU, M. C. Aydin, A. Büyüksaraç, Ercan Işık","doi":"10.30897/ijegeo.1306580","DOIUrl":"https://doi.org/10.30897/ijegeo.1306580","url":null,"abstract":"The risk level of natural disasters such as earthquakes depends on many factors. Some of these are direct hazards, while others are vulnerability factors that increase the risk. In this regard, risk assessment should be performed by evaluating the hazard and vulnerability factors together. The Analytical Hierarchy Process (AHP) is a powerful tool for co-evaluating such multiple decision criteria. The spatial visualization of the results facilitates the direct assessment of risks as well. In the present study, the seismic risk assessment of the Bitlis province in Eastern Anatolia, which has a high seismic risk, was performed by using the GIS-based AHP method. Among many criteria, six effective criteria on earthquake risk such as seismicity, demographic and topographic criteria were taken into consideration based on expert decision makers. It is concluded that the results obtained from the study were quite successful in terms of determining the seismic risks of the study area. Accordingly, while the risks are high in densely populated settlements with high peak ground acceleration (PGA), the risk decreases according to soil and land use.","PeriodicalId":176110,"journal":{"name":"International Journal of Environment and Geoinformatics","volume":"59 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140237156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hazard Identification and Potential Risk Analysis of Toxic Metals in Redbelly Tilapia (Coptodon zillii) Consumed and Surface Water from the Niger Delta Estuary","authors":"Ibienebo Chris Davi̇es, E. Amaewhule, Dumbari Nkeeh","doi":"10.30897/ijegeo.1375341","DOIUrl":"https://doi.org/10.30897/ijegeo.1375341","url":null,"abstract":"Anthropogenic activities have caused toxic metals to escalate, polluting rivers, and accumulating in water, sediments, and fish. This harms aquatic ecosystems and has enduring impacts on humans and aquatic life. The study aimed to assess the accumulation of heavy metals (Pb, Cr, Cu, Fe, Ni, Cd, and Zn) in Redbelly tilapia (Coptodon zillii) and water obtained from three sampling stations along Atuka Creek which is a crude oil-contaminated site in a southern creek in Nigeria. The investigation further intends to evaluate potential health risks linked to the consumption of C. zillii and to analyze the pollution and productivity levels of the corresponding aquatic ecosystem. The results show significant variations in heavy metal concentrations across stations, with Station 1 exhibiting the highest contamination levels attributed to its proximity to pollution sources. The fish from Station 1 revealed elevated levels of contamination, surpassing recommended limits for Pb, Fe, Ni, and Zn. Calculations of chronic daily intake (CDI) values indicate potential health risks for both adults and children, particularly in Stations 1 and 2. The hazard quotient (HQ) and hazard index (HI) values surpassed safe limits in these stations, suggesting non-carcinogenic health risks linked to fish consumption and swimming. Moreover, lifetime cancer risk (ILCR and TLCR) assessments revealed an augmented risk of cancer, especially in Stations 1 and 2. These findings emphasize the need for stern pollution control measures, regulations, and remediation strategies to mitigate heavy metal contamination, ensure water quality, and safeguard public health in southern Nigerian communities.","PeriodicalId":176110,"journal":{"name":"International Journal of Environment and Geoinformatics","volume":"8 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140241374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of the aquaculture on the seagrass Posidonia oceanica: a decade before and after in the Aegean Sea","authors":"E. Taşkın, Furkan Bi̇lgi̇ç, E. Minareci, O. Minareci","doi":"10.30897/ijegeo.1398963","DOIUrl":"https://doi.org/10.30897/ijegeo.1398963","url":null,"abstract":"Seagrass Posidonia oceanica is an endemic and a keystone marine plant in the Mediterranean Sea. It has been a decline in the distribution of P. oceanica meadows by several anthropogenic pressures (i.e. pollution, marine transportation, intensive coastal use, overfishing by ground scanning methods, anchors, aquaculture activities, alien and invasive species, overgrazing, tourist activities). The aim of this study, to evaluate impact of a fish farm in a island (Kızkulesi Island, Dikili, İzmir) on the seagrass Posidonia oceanica meadow from the Aegean coasts of Türkiye. Sampling was made in 2014 September and 2023 October between 0 and 30 m depth by scuba diving. P. oceanica meadow has been completely lost in a decade in the research site.","PeriodicalId":176110,"journal":{"name":"International Journal of Environment and Geoinformatics","volume":"10 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140242891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}