Pub Date : 2022-11-14DOI: 10.7494/geom.2023.17.1.19
A. Borkowski, Łukasz Kochański, Michał Wyszomirski
Landscape information modeling (LIM) is a new trend in spatial projects made using BIM technology. Elements of land development are, not only in the opinion of the authors, just as essential as the element of a building object. In turn, GIS data can be used to model larger areas based on combined data from GIS and BIM models. The lack of the strict integration of BIM and GIS (ISO/TR 23262:2021 covers GIS/BIM interoperability, ISO 19166 is in preparation) prevents the modeling of land development objects, both existing and planned, in many cases. The modeling process using the current and known BIM tools and processes were presented to efficiently develop a model of a building object with its surroundings. Modeling took place using best practices that are collected and used in the Polish reality. The work presents an object-oriented approach to modeling elements of spatial development with the preservation of the so-called occupational hygiene. By applying the above principles, it is possible to develop a “good” LIM model that fits the current trends and developments in BIM.
{"title":"A Case Study on Building Information (BIM) and Land Information (LIM) Models Including Geospatial Data","authors":"A. Borkowski, Łukasz Kochański, Michał Wyszomirski","doi":"10.7494/geom.2023.17.1.19","DOIUrl":"https://doi.org/10.7494/geom.2023.17.1.19","url":null,"abstract":"Landscape information modeling (LIM) is a new trend in spatial projects made using BIM technology. Elements of land development are, not only in the opinion of the authors, just as essential as the element of a building object. In turn, GIS data can be used to model larger areas based on combined data from GIS and BIM models. The lack of the strict integration of BIM and GIS (ISO/TR 23262:2021 covers GIS/BIM interoperability, ISO 19166 is in preparation) prevents the modeling of land development objects, both existing and planned, in many cases. The modeling process using the current and known BIM tools and processes were presented to efficiently develop a model of a building object with its surroundings. Modeling took place using best practices that are collected and used in the Polish reality. The work presents an object-oriented approach to modeling elements of spatial development with the preservation of the so-called occupational hygiene. By applying the above principles, it is possible to develop a “good” LIM model that fits the current trends and developments in BIM.","PeriodicalId":36672,"journal":{"name":"Geomatics and Environmental Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41774142","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}
Pub Date : 2022-10-31DOI: 10.7494/geom.2023.17.1.5
M. Ogryzek
The article discusses the evolution of the concept of sustainable development and briefly discusses its definition. The study, based on Polish and foreign literature sources, uses the method of literature analysis with elements of inductive reasoning. This is a review article, whose aim is to present both positive and critical approaches to the idea of the sustainable development of space.
{"title":"The Sustainable Development Paradigm","authors":"M. Ogryzek","doi":"10.7494/geom.2023.17.1.5","DOIUrl":"https://doi.org/10.7494/geom.2023.17.1.5","url":null,"abstract":"The article discusses the evolution of the concept of sustainable development and briefly discusses its definition. The study, based on Polish and foreign literature sources, uses the method of literature analysis with elements of inductive reasoning. This is a review article, whose aim is to present both positive and critical approaches to the idea of the sustainable development of space.","PeriodicalId":36672,"journal":{"name":"Geomatics and Environmental Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48364851","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}
Pub Date : 2022-10-18DOI: 10.7494/geom.2022.16.4.187
S. Sobura, B. Hejmanowska, M. Widłak, J. Muszyńska
The understanding of the spatial and temporal dynamics of farmland processes is essential to ensure the proper crop monitoring and early decision making needed to support efficient resource management in agriculture. By creating appropriate crop management strategies, one can increase harvest efficiency while reducing costs, waste, chemical spraying, and inhibiting the impact of biotic and abiotic factors on crop stress. Only reliable spatial information makes it possible to comprehend the influence of various factors on the environment. The main objective of the research presented in the paper was to assess the possibility of using maps of vegetation and soil indices, such as NDVI, SAVI, IRECI, CIred-edge, PSRI and HMSSI, calculated on the basis of images from the Sentinel-2 satellite, to qualitatively determine the increased amount of heavy metals in the soil in the areas of small agricultural plots around the Barania Góra nature reserve in Poland.The conducted pilot project shows that the spectral indices: NDVI, SAVI, IRECI, CIred-edge, PSRI, and HMSSI, calculated on the basis of images from Sentinel-2, have the potential to assess the content of nickel zinc, chromium and cobalt in the soil on agricultural plots. However, the confirmation of the obtained results requires continuation of the research.
{"title":"The Application of Remote Sensing Techniques and Spectral Analyzes to Assess the Content of Heavy Metals in Soil – A Case Study of Barania Góra Reserve, Poland","authors":"S. Sobura, B. Hejmanowska, M. Widłak, J. Muszyńska","doi":"10.7494/geom.2022.16.4.187","DOIUrl":"https://doi.org/10.7494/geom.2022.16.4.187","url":null,"abstract":"The understanding of the spatial and temporal dynamics of farmland processes is essential to ensure the proper crop monitoring and early decision making needed to support efficient resource management in agriculture. By creating appropriate crop management strategies, one can increase harvest efficiency while reducing costs, waste, chemical spraying, and inhibiting the impact of biotic and abiotic factors on crop stress. Only reliable spatial information makes it possible to comprehend the influence of various factors on the environment. The main objective of the research presented in the paper was to assess the possibility of using maps of vegetation and soil indices, such as NDVI, SAVI, IRECI, CIred-edge, PSRI and HMSSI, calculated on the basis of images from the Sentinel-2 satellite, to qualitatively determine the increased amount of heavy metals in the soil in the areas of small agricultural plots around the Barania Góra nature reserve in Poland.The conducted pilot project shows that the spectral indices: NDVI, SAVI, IRECI, CIred-edge, PSRI, and HMSSI, calculated on the basis of images from Sentinel-2, have the potential to assess the content of nickel zinc, chromium and cobalt in the soil on agricultural plots. However, the confirmation of the obtained results requires continuation of the research.","PeriodicalId":36672,"journal":{"name":"Geomatics and Environmental Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46115983","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}
Pub Date : 2022-10-18DOI: 10.7494/geom.2022.16.4.157
R. Zegait, Z. Şen, A. Pulido-Bosch, Housseyn Madi, Bachir Hamadeha
Natural risks, particularly flood risk, are a topical subject in Algeria and throughout the world, particularly given the last major catastrophic floods in Sudan (2020) and North Africa. With the development of the climate change phenomenon in the world, risk management is becoming increasingly necessary for all the actors concerned (decision-makers, technicians, and the population) to identify protection issues. In 2018, in the extreme south of Algeria, In-Guezzam City suffered a devastating flood that caused significant damage and loss of human and material resources. More than 100 homes collapsed, and approximately 345 families were displaced. Currently, there is no research work to assess the hydrological situation and the risk of flooding in this region. Therefore, the main purpose of this study is to shed light on the risk of flash floods in the extreme south of Algeria with more specific attention to the August 2018 floods as well as the climate trends over the past 30 years using Mann–Kendall test and Sen’s Slope Estimator. The chosen approach involves a hydrological study and hydrodynamic modeling using HEC-RAS software. This latter allows for simulating floods using statistical methods and creating several regional flood hazard maps.
{"title":"Flash Flood Risk and Climate Analysis in the Extreme South of Algeria (the Case of In-Guezzam City)","authors":"R. Zegait, Z. Şen, A. Pulido-Bosch, Housseyn Madi, Bachir Hamadeha","doi":"10.7494/geom.2022.16.4.157","DOIUrl":"https://doi.org/10.7494/geom.2022.16.4.157","url":null,"abstract":"Natural risks, particularly flood risk, are a topical subject in Algeria and throughout the world, particularly given the last major catastrophic floods in Sudan (2020) and North Africa. With the development of the climate change phenomenon in the world, risk management is becoming increasingly necessary for all the actors concerned (decision-makers, technicians, and the population) to identify protection issues. In 2018, in the extreme south of Algeria, In-Guezzam City suffered a devastating flood that caused significant damage and loss of human and material resources. More than 100 homes collapsed, and approximately 345 families were displaced. Currently, there is no research work to assess the hydrological situation and the risk of flooding in this region. Therefore, the main purpose of this study is to shed light on the risk of flash floods in the extreme south of Algeria with more specific attention to the August 2018 floods as well as the climate trends over the past 30 years using Mann–Kendall test and Sen’s Slope Estimator. The chosen approach involves a hydrological study and hydrodynamic modeling using HEC-RAS software. This latter allows for simulating floods using statistical methods and creating several regional flood hazard maps.","PeriodicalId":36672,"journal":{"name":"Geomatics and Environmental Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48025531","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}
Pub Date : 2022-10-18DOI: 10.7494/geom.2022.16.4.135
Ewa Kucharska-Stasiak
The purpose of the study is the following: (1) indicate the economic sources of the definition of value, including the market value of real estate, (2) present the definition and interpretation of this category, (3) its evolution and the difficult path towards its acceptance in Polish conditions, and (4) identify the reasons for this category being frequently misunderstood in the professional environment. A research hypothesis was put forward that the market value is of a contract nature, its definition and interpretation may change. The study employed a critical analysis of the source literature and legal documents as its methods.
{"title":"The Evolution of the Market Value Definition","authors":"Ewa Kucharska-Stasiak","doi":"10.7494/geom.2022.16.4.135","DOIUrl":"https://doi.org/10.7494/geom.2022.16.4.135","url":null,"abstract":"The purpose of the study is the following: (1) indicate the economic sources of the definition of value, including the market value of real estate, (2) present the definition and interpretation of this category, (3) its evolution and the difficult path towards its acceptance in Polish conditions, and (4) identify the reasons for this category being frequently misunderstood in the professional environment. A research hypothesis was put forward that the market value is of a contract nature, its definition and interpretation may change. The study employed a critical analysis of the source literature and legal documents as its methods.","PeriodicalId":36672,"journal":{"name":"Geomatics and Environmental Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47287701","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}
Pub Date : 2022-10-12DOI: 10.7494/geom.2022.16.4.59
Olga Matuk
The article deals with the research on the quantitative classification of land use, which directly affects the amount of land use data collected in the real estate cadastre.For the purpose of this article, the cadastral systems of seven European countries – Austria, Bulgaria, Estonia, Spain, Lithuania, Germany and Poland – have been examined, taking into account how detailed is the classification in agricultural and forest areas. The research covered the provisions of legal acts applicable in the researched seven European countries and made available in national languages by the government bodies.The article asks the following three questions:1) whether the researched countries adopted the same approach to isolatingclasses of items related to agricultural and forest areas;2) whether the researched countries feature the same number of classes ofitems recorded at various levels of detail;3) what is the percentage of the distinguished item classes of land uses in theagricultural and forest areas in relation to all of the distinguished item classes at all the levels of detail.The conducted research can be used as a material supporting works consisting of the modernization of the functioning of land registration in the real estate cadastre in Poland.
{"title":"Quantitative Analysis of Land Use Classification in Agricultural and Forest Areas","authors":"Olga Matuk","doi":"10.7494/geom.2022.16.4.59","DOIUrl":"https://doi.org/10.7494/geom.2022.16.4.59","url":null,"abstract":"The article deals with the research on the quantitative classification of land use, which directly affects the amount of land use data collected in the real estate cadastre.For the purpose of this article, the cadastral systems of seven European countries – Austria, Bulgaria, Estonia, Spain, Lithuania, Germany and Poland – have been examined, taking into account how detailed is the classification in agricultural and forest areas. The research covered the provisions of legal acts applicable in the researched seven European countries and made available in national languages by the government bodies.The article asks the following three questions:1) whether the researched countries adopted the same approach to isolatingclasses of items related to agricultural and forest areas;2) whether the researched countries feature the same number of classes ofitems recorded at various levels of detail;3) what is the percentage of the distinguished item classes of land uses in theagricultural and forest areas in relation to all of the distinguished item classes at all the levels of detail.The conducted research can be used as a material supporting works consisting of the modernization of the functioning of land registration in the real estate cadastre in Poland.","PeriodicalId":36672,"journal":{"name":"Geomatics and Environmental Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47829870","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}
Pub Date : 2022-10-12DOI: 10.7494/geom.2022.16.4.31
L. Davybida, I. Wyczałek, Artur Plichta
The design and installation of solar panels on the roofs of urban buildings often require consideration of the specific spatial conditions that affect their efficiency. The primary purpose of this work is to develop a procedure for designing and optimizing photovoltaic installations using geomatics methods and specific tools of GIS and CAD systems. The roof of the historic building A2, which is a part of the Poznań University of Technology campus, was selected as the tested object. Solar radiation modelling and determination of suitability zones were performed using SEBE (Solar Energy on Building Envelopes) in QGIS. Possible options for the placement of photovoltaic modules on the roof were simulated with CAD technique in the web-based HelioScope software. The results of the simulation show that the current roof area can generate electrical power of 99.9 MWh/year. The proposed methodology is universal for photovoltaic installations on built-up roofs and can be applied to other buildings and, consequently, the results obtained can be used to improve the content of the solar data urban geoportal.
{"title":"Using GIS and SDSS Tools in the Design of a Photovoltaic System for a Built-up Roof","authors":"L. Davybida, I. Wyczałek, Artur Plichta","doi":"10.7494/geom.2022.16.4.31","DOIUrl":"https://doi.org/10.7494/geom.2022.16.4.31","url":null,"abstract":"The design and installation of solar panels on the roofs of urban buildings often require consideration of the specific spatial conditions that affect their efficiency. The primary purpose of this work is to develop a procedure for designing and optimizing photovoltaic installations using geomatics methods and specific tools of GIS and CAD systems. The roof of the historic building A2, which is a part of the Poznań University of Technology campus, was selected as the tested object. Solar radiation modelling and determination of suitability zones were performed using SEBE (Solar Energy on Building Envelopes) in QGIS. Possible options for the placement of photovoltaic modules on the roof were simulated with CAD technique in the web-based HelioScope software. The results of the simulation show that the current roof area can generate electrical power of 99.9 MWh/year. The proposed methodology is universal for photovoltaic installations on built-up roofs and can be applied to other buildings and, consequently, the results obtained can be used to improve the content of the solar data urban geoportal.","PeriodicalId":36672,"journal":{"name":"Geomatics and Environmental Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45090186","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}
Pub Date : 2022-10-12DOI: 10.7494/geom.2022.16.4.103
E. Głowienka, N. Zembol
The possibility to use hyperspectral images (CHRIS/PROBA) and multispectral images (Sentinel-2) in the classification of forest communities is assessed in this article. The pre-processing of CHRIS/PROBA image included: noise reduction, radiometric correction, atmospheric correction, geometric correction. Due to MNF transformation the number of the hyperspectral image channels was reduced (to 10 channels) and smiling errors were removed. Sentinel-2 image (level 2A) did not require pre-processing. Three tree genera occurring in the study area were selected for the classification: pine (Pinus), alder (Alnus) and birch (Betula). Image classification was carried out with three methods: SAM (Spectral Angle Mapper ), MTMF (Mixture Tuned Matched Filtering), SVM (Support Vector Machine). For the CHRIS/PROBA image, the algorithm SVM turned out to be the best. Its overall accuracy (OA) was 72%. The poorest result (OA = 52%) was for the MTMF classifier. In the classification of Sentinel-2 multispectral image the best result was for the MTMF method: OA = 82%, kappa coefficient 0.7. For other methods, the overall accuracy exceeded 65%. Among the classified genera, the highest producer’s accuracy was obtained for pine (PA = 96%), and the broad-leaf genera: alder and birch had PA ranging from 42% to 85%.
{"title":"Forest Community Mapping Using Hyperspectral (CHRIS/PROBA) and Sentinel-2 Multispectral Images","authors":"E. Głowienka, N. Zembol","doi":"10.7494/geom.2022.16.4.103","DOIUrl":"https://doi.org/10.7494/geom.2022.16.4.103","url":null,"abstract":"The possibility to use hyperspectral images (CHRIS/PROBA) and multispectral images (Sentinel-2) in the classification of forest communities is assessed in this article. The pre-processing of CHRIS/PROBA image included: noise reduction, radiometric correction, atmospheric correction, geometric correction. Due to MNF transformation the number of the hyperspectral image channels was reduced (to 10 channels) and smiling errors were removed. Sentinel-2 image (level 2A) did not require pre-processing. Three tree genera occurring in the study area were selected for the classification: pine (Pinus), alder (Alnus) and birch (Betula). Image classification was carried out with three methods: SAM (Spectral Angle Mapper ), MTMF (Mixture Tuned Matched Filtering), SVM (Support Vector Machine). For the CHRIS/PROBA image, the algorithm SVM turned out to be the best. Its overall accuracy (OA) was 72%. The poorest result (OA = 52%) was for the MTMF classifier. In the classification of Sentinel-2 multispectral image the best result was for the MTMF method: OA = 82%, kappa coefficient 0.7. For other methods, the overall accuracy exceeded 65%. Among the classified genera, the highest producer’s accuracy was obtained for pine (PA = 96%), and the broad-leaf genera: alder and birch had PA ranging from 42% to 85%.","PeriodicalId":36672,"journal":{"name":"Geomatics and Environmental Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47406799","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}
Pub Date : 2022-10-12DOI: 10.7494/geom.2022.16.4.119
K. Prasetyo
Flash flood disasters often hit many areas in Indonesia and can generate various losses. These conditions are exacerbated by people’s low knowledge and interest in their environment. Therefore, if people’s environmental education increases, especially their flood disaster mitigation knowledge, they can be prepared and better protect themselves from such disasters. People’s environmental education must start from determining the reason of the flood disaster in their environment to discovering how to avoid the disaster. This research design is a one-group post-test design. The collected data in this research is a written test result about knowledge in flash flood disaster mitigation materials as an implementation in environmental education in the community. The research data results were analyzed by means of simple regression, logistics regression, and correlation. Based on this research, environmental education with disaster mitigation materials has a high understanding level. In the disaster step, the highest understanding is before it happens. The correlation between educational strata and gender on environmental education and disaster mitigation materials is low. Finally, the role of women in disaster mitigation needs to improve because they have a higher understanding than males of disaster mitigation materials.
{"title":"Flash Flood Disaster Mitigation Through Environmental Education","authors":"K. Prasetyo","doi":"10.7494/geom.2022.16.4.119","DOIUrl":"https://doi.org/10.7494/geom.2022.16.4.119","url":null,"abstract":"Flash flood disasters often hit many areas in Indonesia and can generate various losses. These conditions are exacerbated by people’s low knowledge and interest in their environment. Therefore, if people’s environmental education increases, especially their flood disaster mitigation knowledge, they can be prepared and better protect themselves from such disasters. People’s environmental education must start from determining the reason of the flood disaster in their environment to discovering how to avoid the disaster. This research design is a one-group post-test design. The collected data in this research is a written test result about knowledge in flash flood disaster mitigation materials as an implementation in environmental education in the community. The research data results were analyzed by means of simple regression, logistics regression, and correlation. Based on this research, environmental education with disaster mitigation materials has a high understanding level. In the disaster step, the highest understanding is before it happens. The correlation between educational strata and gender on environmental education and disaster mitigation materials is low. Finally, the role of women in disaster mitigation needs to improve because they have a higher understanding than males of disaster mitigation materials.","PeriodicalId":36672,"journal":{"name":"Geomatics and Environmental Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43815386","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}
Pub Date : 2022-10-12DOI: 10.7494/geom.2022.16.4.79
I. Nzelibe, Daniel Damilola Ojediran, M. Moses
Geospatial and multi-criteria decision-making techniques are applied to process and analyse datasets for determining suitable areas for multiple utilityscale solar photovoltaic farms in the city of Akure, Ondo State, southwestern Nigeria. Data processed include local electric power distribution system data, Shuttle Radar Topographic Mission elevation data, Landsat 8 and solar global horizontal irradiance. Multi-criteria decision-making techniques adopted are the analytical hierarchy process, reclassification, and overlay. These techniques were carried out considering criteria for siting solar photovoltaic farms. Criteria considered in this study are climate, topography, economic, environmental impact operational and technical while sub-criteria are solar global horizontal irradiance, slope, proximity and land cover. The outcome of the study shows that the study area covering a total extent of ~33,200 ha, 15%, 8%, 13% and 64% are highly suitable, suitable, moderately suitable, and unsuitable respectively for siting utility-scale solar photovoltaic farms within the study area. The study reveals the potential of multiple utility-scale solar photovoltaic farms in the study area. However, the proportions of areas suitable for solar photovoltaic farms are quite lower compared to findings from similar studies conducted in northwestern Nigeria. The study recommends solar photovoltaic sources as an alternative energy source in and around the study area.
{"title":"Geospatial Assessment and Mapping of Suitable Sites for a Utility-scale Solar PV Farm","authors":"I. Nzelibe, Daniel Damilola Ojediran, M. Moses","doi":"10.7494/geom.2022.16.4.79","DOIUrl":"https://doi.org/10.7494/geom.2022.16.4.79","url":null,"abstract":"Geospatial and multi-criteria decision-making techniques are applied to process and analyse datasets for determining suitable areas for multiple utilityscale solar photovoltaic farms in the city of Akure, Ondo State, southwestern Nigeria. Data processed include local electric power distribution system data, Shuttle Radar Topographic Mission elevation data, Landsat 8 and solar global horizontal irradiance. Multi-criteria decision-making techniques adopted are the analytical hierarchy process, reclassification, and overlay. These techniques were carried out considering criteria for siting solar photovoltaic farms. Criteria considered in this study are climate, topography, economic, environmental impact operational and technical while sub-criteria are solar global horizontal irradiance, slope, proximity and land cover. The outcome of the study shows that the study area covering a total extent of ~33,200 ha, 15%, 8%, 13% and 64% are highly suitable, suitable, moderately suitable, and unsuitable respectively for siting utility-scale solar photovoltaic farms within the study area. The study reveals the potential of multiple utility-scale solar photovoltaic farms in the study area. However, the proportions of areas suitable for solar photovoltaic farms are quite lower compared to findings from similar studies conducted in northwestern Nigeria. The study recommends solar photovoltaic sources as an alternative energy source in and around the study area.","PeriodicalId":36672,"journal":{"name":"Geomatics and Environmental Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42861967","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}
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