Pub Date : 2024-05-15DOI: 10.32604/rig.2024.051788
{"title":"Harnessing ML and GIS for Seismic Vulnerability Assessment and Risk Prioritization","authors":"","doi":"10.32604/rig.2024.051788","DOIUrl":"https://doi.org/10.32604/rig.2024.051788","url":null,"abstract":"","PeriodicalId":265089,"journal":{"name":"Revue Internationale de Géomatique","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140976275","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 : 2024-05-15DOI: 10.32604/rig.2024.049966
Jean Aimé Mono, Apollinaire Bouba, J. D. Ngoh, Olivier Ulrich Igor Owono Amougou, Françoise Martine Enyegue A Nyam, Théophile Ndougsa Mbarga
{"title":"Lineament Mapping in Batie Area (West-Cameroon) Using Landsat-9 Operational Land Imager/Thermal Infrared Sensor and Shuttle Radar Topography Mission Data: Hydrogeological Implication","authors":"Jean Aimé Mono, Apollinaire Bouba, J. D. Ngoh, Olivier Ulrich Igor Owono Amougou, Françoise Martine Enyegue A Nyam, Théophile Ndougsa Mbarga","doi":"10.32604/rig.2024.049966","DOIUrl":"https://doi.org/10.32604/rig.2024.049966","url":null,"abstract":"","PeriodicalId":265089,"journal":{"name":"Revue Internationale de Géomatique","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140974171","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 : 2024-03-29DOI: 10.32604/rig.2024.047908
Ercan Vural
Severe earthquakes in the world and in Turkey can cause great loss of life and property, environmental problems and health problems. In addition to the loss of life and property, earthquakes are closely related to ecosystems, air, water, and soil pollution. Particularly in post-earthquake debris removal, very large amounts of particulate matter are released and may have negative effects on the health of the local population. This study aimed to detect two types of particle matter pollution during debris removal in 25 different locations in Adiyaman City using a CEM DT 9880 particle matter measuring device in May and August 2023. PM2.5 and PM10 measurements, which have a significant impact on human health, were conducted in the field. The obtained data were analyzed using the Inverse Distance Weighting (IDW) method in ArcGIS 10.7 software. Results showed that the highest particle matter pollution was identified in neighborhoods with extensive demolition. The highest PM2.5 pollution values were recorded in Barbaros Hayrettin, Hoca Omer, Yesilyurt, and Varlik neighborhoods, while the lowest was observed in Altinsehir and Yunus Emre neighborhoods with minimal demolition. As for PM10 pollution, the highest levels were observed in Alitasi, Barbaros Hayrettin, Sumerevler, and Hoca Omer neighborhoods, while the lowest was detected in Yunus Emre and Yesilyurt neighborhoods. Green areas and their surroundings in the field exhibited lower levels of PM pollution compared to other areas.
{"title":"Assessment of Particle Matter Pollution during Post-Earthquake Debris Removal in Adiyaman City","authors":"Ercan Vural","doi":"10.32604/rig.2024.047908","DOIUrl":"https://doi.org/10.32604/rig.2024.047908","url":null,"abstract":"Severe earthquakes in the world and in Turkey can cause great loss of life and property, environmental problems and health problems. In addition to the loss of life and property, earthquakes are closely related to ecosystems, air, water, and soil pollution. Particularly in post-earthquake debris removal, very large amounts of particulate matter are released and may have negative effects on the health of the local population. This study aimed to detect two types of particle matter pollution during debris removal in 25 different locations in Adiyaman City using a CEM DT 9880 particle matter measuring device in May and August 2023. PM2.5 and PM10 measurements, which have a significant impact on human health, were conducted in the field. The obtained data were analyzed using the Inverse Distance Weighting (IDW) method in ArcGIS 10.7 software. Results showed that the highest particle matter pollution was identified in neighborhoods with extensive demolition. The highest PM2.5 pollution values were recorded in Barbaros Hayrettin, Hoca Omer, Yesilyurt, and Varlik neighborhoods, while the lowest was observed in Altinsehir and Yunus Emre neighborhoods with minimal demolition. As for PM10 pollution, the highest levels were observed in Alitasi, Barbaros Hayrettin, Sumerevler, and Hoca Omer neighborhoods, while the lowest was detected in Yunus Emre and Yesilyurt neighborhoods. Green areas and their surroundings in the field exhibited lower levels of PM pollution compared to other areas.","PeriodicalId":265089,"journal":{"name":"Revue Internationale de Géomatique","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140368404","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 : 2023-12-27DOI: 10.32604/rig.2023.044124
Faidance Mashauri, M. Mbuluyo, Nsalambi Nkongolo
Les paramètres hydro-morphométriques les plus caractéristiques qui contrôlent l’écoulement des eaux du bassin versant de la Tshopo n’ont pas encore été déterminés. L’analyse de corrélation, la régression linéaire multiple et la classification ascendante hiérarchique ont été appliquées à l’ensemble des données afin d’identifier les variables les plus caractéristiques qui influencent considérablement la vitesse d’écoulement des eaux et regrouper les sous-bassins versants semblables physiquement. Les résultats obtenus mettent en évidence l'importance de la topographie sur l'écoulement des eaux. Trois variables topographiques, à savoir l'altitude médiane (H50), le dénivelé global (Dg) et le dénivelé spécifique (Ds), ont une influence significative (p-value ≤ 0,05) sur la vitesse d'écoulement (Ve) des eaux de surface dans les sous-bassins versants de la Tshopo. Deux groupes (G1 et G2) opposés des sous-bassins versants ont été identifiés, d’un côté les sous-bassins versants appartenant au cours supérieur et moyen de la Tshopo (SBV1, SBV2, SBV3 et SBV5) et de l’autre les sous-bassins versants du cours inférieur (SBV6, SBV7 et SBV8). Le premier groupe est caractérisé par un relief modéré (Ds, de l’ordre de 53,19 à 73,6 m) alors que pour le second groupe, le relief est faible (Ds comprise entre 18,1 à 29,43 m).
{"title":"Influence des paramètres hydro-morphométriques sur l’écoulement des eaux des sous-bassins versants de la Tshopo, République démocratique du Congo","authors":"Faidance Mashauri, M. Mbuluyo, Nsalambi Nkongolo","doi":"10.32604/rig.2023.044124","DOIUrl":"https://doi.org/10.32604/rig.2023.044124","url":null,"abstract":"Les paramètres hydro-morphométriques les plus caractéristiques qui contrôlent l’écoulement des eaux du bassin versant de la Tshopo n’ont pas encore été déterminés. L’analyse de corrélation, la régression linéaire multiple et la classification ascendante hiérarchique ont été appliquées à l’ensemble des données afin d’identifier les variables les plus caractéristiques qui influencent considérablement la vitesse d’écoulement des eaux et regrouper les sous-bassins versants semblables physiquement. Les résultats obtenus mettent en évidence l'importance de la topographie sur l'écoulement des eaux. Trois variables topographiques, à savoir l'altitude médiane (H50), le dénivelé global (Dg) et le dénivelé spécifique (Ds), ont une influence significative (p-value ≤ 0,05) sur la vitesse d'écoulement (Ve) des eaux de surface dans les sous-bassins versants de la Tshopo. Deux groupes (G1 et G2) opposés des sous-bassins versants ont été identifiés, d’un côté les sous-bassins versants appartenant au cours supérieur et moyen de la Tshopo (SBV1, SBV2, SBV3 et SBV5) et de l’autre les sous-bassins versants du cours inférieur (SBV6, SBV7 et SBV8). Le premier groupe est caractérisé par un relief modéré (Ds, de l’ordre de 53,19 à 73,6 m) alors que pour le second groupe, le relief est faible (Ds comprise entre 18,1 à 29,43 m).","PeriodicalId":265089,"journal":{"name":"Revue Internationale de Géomatique","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139154758","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 : 2023-12-27DOI: 10.32604/rig.2023.043180
Hussein El Hage Hassan, Laurence Charbel, Ninon Blond
Le pourtour occidental du plateau du Jord Tannourine-Aaqoura (Liban) est une région montagnarde méditerranéenne qui réunit les conditions de l’érosion hydrique : pluie abondante, pente raide, couvert végétal naturel ravagé et sol sensible à la dégradation. Cependant les terrasses agricoles aménagées depuis des décennies demeurent une pratique robuste pour limiter le ruissellement et élargir la surface agricole utile. Afin d’évaluer l’érosion aréolaire et le rôle des pratiques antiérosives, la méthodologie adoptée repose sur l’équation universelle de l’USLE révisée (RUSLE). La combinaison de paramètres du modèle, dans un SIG, a permis de définir que l’érosion hydrique peut dépasser les 51 t/ha/an essentiellement dans les secteurs marqués par l’absence des terrasses agricoles, et dépourvus d’un couvert végétal dense. Alors que les versants modelés en terrasses ne subissent que des pertes inférieures à 16 t/ha/an. La validation est faite par l’implantation d’un réseau de tiges métalliques. Face à ce risque de dégradation, il semble indispensable de conseiller des techniques agricoles protectrices.
{"title":"L’impact du Terrassement des Versants sur L’érosion Dans le Pourtour Occidental du Plateau du Jord Tannourine-Aaqoura (Liban)","authors":"Hussein El Hage Hassan, Laurence Charbel, Ninon Blond","doi":"10.32604/rig.2023.043180","DOIUrl":"https://doi.org/10.32604/rig.2023.043180","url":null,"abstract":"Le pourtour occidental du plateau du Jord Tannourine-Aaqoura (Liban) est une région montagnarde méditerranéenne qui réunit les conditions de l’érosion hydrique : pluie abondante, pente raide, couvert végétal naturel ravagé et sol sensible à la dégradation. Cependant les terrasses agricoles aménagées depuis des décennies demeurent une pratique robuste pour limiter le ruissellement et élargir la surface agricole utile. Afin d’évaluer l’érosion aréolaire et le rôle des pratiques antiérosives, la méthodologie adoptée repose sur l’équation universelle de l’USLE révisée (RUSLE). La combinaison de paramètres du modèle, dans un SIG, a permis de définir que l’érosion hydrique peut dépasser les 51 t/ha/an essentiellement dans les secteurs marqués par l’absence des terrasses agricoles, et dépourvus d’un couvert végétal dense. Alors que les versants modelés en terrasses ne subissent que des pertes inférieures à 16 t/ha/an. La validation est faite par l’implantation d’un réseau de tiges métalliques. Face à ce risque de dégradation, il semble indispensable de conseiller des techniques agricoles protectrices.","PeriodicalId":265089,"journal":{"name":"Revue Internationale de Géomatique","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139154387","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 : 2023-12-27DOI: 10.32604/rig.2023.044899
Faidance Mashauri, Mokili Mbuluyo, N. Nkongolo
{"title":"Use of Geographic Information System and Digital Elevation Model to Analyze the Hydro-Morphometric Characteristics of the Tshopo River Sub-Catchments, Democratic Republic of Congo","authors":"Faidance Mashauri, Mokili Mbuluyo, N. Nkongolo","doi":"10.32604/rig.2023.044899","DOIUrl":"https://doi.org/10.32604/rig.2023.044899","url":null,"abstract":"","PeriodicalId":265089,"journal":{"name":"Revue Internationale de Géomatique","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139154312","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 : 2023-12-20DOI: 10.32604/rig.2023.046014
Yaping Luo, Na Guo, Dong Liu, Shuming Peng, Xinchen Wang, Jie Wu
{"title":"Inversion of Water Quality TN-TP Values Based on Hyperspectral Features and Model Validation","authors":"Yaping Luo, Na Guo, Dong Liu, Shuming Peng, Xinchen Wang, Jie Wu","doi":"10.32604/rig.2023.046014","DOIUrl":"https://doi.org/10.32604/rig.2023.046014","url":null,"abstract":"","PeriodicalId":265089,"journal":{"name":"Revue Internationale de Géomatique","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139169446","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 : 2023-12-12DOI: 10.32604/rig.2023.045458
Frédéric Roulier
The morphological differences between two geographical maps can be highlighted by a polycentric distance cartogram resulting from a bidimensional regression. Beyond the communicational interest of the transformations thus produced, the method makes it possible to reveal the differences in structure and therefore constitutes a real research tool. However, bidimensional regression can only compare the shape of two maps. Since the 1990s, geometric morphometrics has revolutionized the morphological analysis of natural structures (and others). It has since been applied in many fields of research but not in cartography. This article describes the theoretical and methodological bases of a method combining bidimensional regression with a geometric morphometrics approach to compare the shape of several geographical maps. Geometric morphometrics and bidimensional regression indeed share common approaches of the statistical shape analysis like homologous landmarks and interpolation grids. However, there is no software in geometric morphometrics capable of directly reading geographical data, which would facilitate the work of cartographers accustomed to GIS software. That is why we present MapMorphy, a tool specifically developed for this task. An example on ancient maps illustrates the method.
{"title":"Geometric Morphometrics Applied to Cartography","authors":"Frédéric Roulier","doi":"10.32604/rig.2023.045458","DOIUrl":"https://doi.org/10.32604/rig.2023.045458","url":null,"abstract":"The morphological differences between two geographical maps can be highlighted by a polycentric distance cartogram resulting from a bidimensional regression. Beyond the communicational interest of the transformations thus produced, the method makes it possible to reveal the differences in structure and therefore constitutes a real research tool. However, bidimensional regression can only compare the shape of two maps. Since the 1990s, geometric morphometrics has revolutionized the morphological analysis of natural structures (and others). It has since been applied in many fields of research but not in cartography. This article describes the theoretical and methodological bases of a method combining bidimensional regression with a geometric morphometrics approach to compare the shape of several geographical maps. Geometric morphometrics and bidimensional regression indeed share common approaches of the statistical shape analysis like homologous landmarks and interpolation grids. However, there is no software in geometric morphometrics capable of directly reading geographical data, which would facilitate the work of cartographers accustomed to GIS software. That is why we present MapMorphy, a tool specifically developed for this task. An example on ancient maps illustrates the method.","PeriodicalId":265089,"journal":{"name":"Revue Internationale de Géomatique","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139008906","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 : 2023-09-30DOI: 10.32604/rig.2023.043399
Maan Habib, Maan Okayli
This study provides a comprehensive overview of modern cartography innovations and emerging trends, highlighting the importance of geospatial representation in various fields. It discusses recent advancements in geospatial data collection techniques, including satellite and aerial imagery, Light Detection and Ranging (LiDAR) technology, and crowdsourcing. The research also investigates the integration of big data, machine learning, and real-time processing in Geographic Information Systems (GIS), as well as advances in geospatial visualization. In addition, it examines the role of cartography in addressing global challenges such as climate change, disaster management, and urban planning in line with the International Cartographic Association’s (ICA) perspectives. The study discusses the ethical considerations and challenges associated with modern cartography, including privacy, data security, and accessibility issues. Finally, it outlines future directions and opportunities in cartography, focusing on the potential applications of artificial intelligence, interdisciplinary collaborations, and open-source platforms. This discussion aims to emphasize the significance of continued research and development in cartography and encourage interdisciplinary collaboration for a better understanding of the world.
{"title":"An Overview of Modern Cartographic Trends Aligned with the ICA’s Perspective","authors":"Maan Habib, Maan Okayli","doi":"10.32604/rig.2023.043399","DOIUrl":"https://doi.org/10.32604/rig.2023.043399","url":null,"abstract":"This study provides a comprehensive overview of modern cartography innovations and emerging trends, highlighting the importance of geospatial representation in various fields. It discusses recent advancements in geospatial data collection techniques, including satellite and aerial imagery, Light Detection and Ranging (LiDAR) technology, and crowdsourcing. The research also investigates the integration of big data, machine learning, and real-time processing in Geographic Information Systems (GIS), as well as advances in geospatial visualization. In addition, it examines the role of cartography in addressing global challenges such as climate change, disaster management, and urban planning in line with the International Cartographic Association’s (ICA) perspectives. The study discusses the ethical considerations and challenges associated with modern cartography, including privacy, data security, and accessibility issues. Finally, it outlines future directions and opportunities in cartography, focusing on the potential applications of artificial intelligence, interdisciplinary collaborations, and open-source platforms. This discussion aims to emphasize the significance of continued research and development in cartography and encourage interdisciplinary collaboration for a better understanding of the world.","PeriodicalId":265089,"journal":{"name":"Revue Internationale de Géomatique","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136277181","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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