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Multi-parameter risk mapping of Qazvin aquifer by classic and fuzzy clustering techniques / Saman Javadi in Geocarto international, vol 37 n° 4 ([15/02/2022])  

Public [article]  inGeocarto international > vol 37 n° 4 [15/02/2022] . - pp 1160-1182 Titre : Multi-parameter risk mapping of Qazvin aquifer by classic and fuzzy clustering techniques Type de document : Article/Communication Auteurs : Saman Javadi, Auteur ; Seied Mehdy Hashemy Shahdany, Auteur ; Hashemy Shahdany, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 1160-1182 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse de groupement [Termes IGN] aquifère [Termes IGN] arsenic [Termes IGN] cartographie des risques [Termes IGN] contamination [Termes IGN] eau souterraine [Termes IGN] Iran [Termes IGN] logique floue [Termes IGN] nitrate [Termes IGN] pollution des eaux [Termes IGN] vulnérabilité Résumé : (auteur) This study proposes a new approach to establish a multi-parameter risk mapping method by employing the K-Means clustering technique. Accordingly, spatial assessment of arsenic (As), nitrate (NO3) and total dissolved solids (TDS) were carried out based on the type of land use to estimate contamination potential in an aquifer. Since risk mapping is always associated with the occurrence probability of a phenomenon, pollution occurrence probability was then obtained using the fuzzy C-means clustering. The results reveal that NO3 and As contamination levels increase from the first cluster (C1), covers 22.3% of the aquifer, to C5 encompassing 35.1% of the aquifer devoted to extensive industrial and agricultural activities. Fuzzy clustering results show that the pollution occurrence probability in each aquifer cell varied from less than 30 to more than 90%. Moreover, the results show, industrial and agricultural land uses cover about 70% of the areas with high risk of contamination. Numéro de notice : A2022-396 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2020.1778099 Date de publication en ligne : 23/06/2020 En ligne : https://doi.org/10.1080/10106049.2020.1778099 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100690 [article]

Possibilities for assessment and geovisualization of spatial and temporal water quality data using a webGIS application / Daniel Balla in ISPRS International journal of geo-information, vol 11 n° 2 (February 2022)  

Public [article]  inISPRS International journal of geo-information > vol 11 n° 2 (February 2022) . - n° 108 Titre : Possibilities for assessment and geovisualization of spatial and temporal water quality data using a webGIS application Type de document : Article/Communication Auteurs : Daniel Balla, Auteur ; Marianna Zichar, Auteur ; Emoke Kiss, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 108 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] contamination [Termes IGN] données spatiotemporelles [Termes IGN] épidémie [Termes IGN] évaluation [Termes IGN] maladie infectieuse [Termes IGN] outil d'aide à la décision [Termes IGN] pollution des eaux [Termes IGN] qualité des eaux [Termes IGN] WebSIG [Vedettes matières IGN] Géovisualisation Résumé : (auteur) The provision of webGIS-based water quality data services has become a priority area for both the public and administrative sectors in the context of the pandemic emergency associated with the global spread of COVID-19. Current geographic, monitoring and decision supporting systems, typically based on web-based geospatial information, greatly facilitate the sharing of spatial and temporal data from environmental databases and real-time analyses. In the present study, different water quality indices are determined, compared and geovisualized, during which the changes in the quality of the shallow groundwater resources of a settlement are examined in the period (2011–2019) in an eastern Hungarian settlement. Another objective of the research is to determine three water quality indices (Water Quality Index, CCME Water Quality Index, Contamination degree) and categorize water samples based on the same input spatial and temporal data using self-developed freely available geovisualization tools. Groundwater quality was assessed by using different water quality indices. Significant pollution of the groundwater in the time period before the installation of a sewage network was shown. Regarding water quality, significant positive changes were shown based on all three water quality indices in the years after installing a sewage network (2015–2019). The presence of pollution apart from the positive changes suggests that the purification processes will last for a long time. Numéro de notice : A2022-170 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi11020108 En ligne : https://doi.org/10.3390/ijgi11020108 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99799 [article]

GIS-based study on the environmental sensitivity to pollution and susceptibility to eutrophication in Burullus Lake, Egypt / Muhammad A. El-Alfy in Marine geodesy, vol 44 n° 6 (November 2021)  

Public [article]  inMarine geodesy > vol 44 n° 6 (November 2021) . - pp 554 - 572 Titre : GIS-based study on the environmental sensitivity to pollution and susceptibility to eutrophication in Burullus Lake, Egypt Type de document : Article/Communication Auteurs : Muhammad A. El-Alfy, Auteur ; Dina H. Darwish, Auteur ; Afifi I. Basiony, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 554 - 572 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse de sensibilité [Termes IGN] ArcGIS [Termes IGN] distribution spatiale [Termes IGN] Egypte [Termes IGN] eutrophisation [Termes IGN] pollution des eaux [Termes IGN] régression logistique [Termes IGN] système d'information géographique [Termes IGN] utilisation du sol [Termes IGN] variation saisonnière Résumé : (auteur) Sensitivity to pollution in Burullus Lake was estimated based on the proximity analysis. The category of sensitivity was based on six factors including: agricultural areas, industrial areas, drains, Elboughaz, urban areas and fish farms. A statistical model was developed to estimate trophic state index (TSI) based on laboratory measurements of water samples at two different periods of time (Mach 2020 and June 2020) (R2 = 0.96 and 0.94, respectively). The important factors that were considered at the first period were chlorophyll, phosphate PO4 and oxidizable organic matter OOM. In the second period, the considered factors were ammonia NH4, silicates SiO4, and dissolved oxygen (DO). The category of TSI varied from oligotrophic to hyper-eutrophic conditions in March 2020, whereas it varied from eutrophic to hyper-eutrophic in June 2020. The eutrophication condition was higher in June than in March. This may be attributed to the huge amount of wastewaters, their contaminant load and season. The compatibility between sensitivity model and the obtained results in March 2020 was about 54.5%, whereas it was about 27.3% in June 2020. This reveals that the lake is highly sensitive to pollution and therefore it needs to be monitored regularly. Numéro de notice : A2021-818 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/01490419.2021.1954111 Date de publication en ligne : 27/07/2021 En ligne : https://doi.org/10.1080/01490419.2021.1954111 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98908 [article]

Artificial intelligence methods applied to urban remote sensing and GIS / Chang-Wook Lee (2021)  

Public Titre : Artificial intelligence methods applied to urban remote sensing and GIS Type de document : Monographie Auteurs : Chang-Wook Lee, Éditeur scientifique ; Hyangsun Han, Éditeur scientifique ; Hoonyol Lee, Éditeur scientifique ; Yu-Chul Park, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2021 Importance : 166 p. Format : 16 x 23 cm ISBN/ISSN/EAN : 978-3-0365-1603-5 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] apprentissage profond [Termes IGN] carte thématique [Termes IGN] classification dirigée [Termes IGN] classification par réseau neuronal convolutif [Termes IGN] Corée du sud [Termes IGN] effondrement de terrain [Termes IGN] espace vert [Termes IGN] image à très haute résolution [Termes IGN] image radar moirée [Termes IGN] indice de végétation [Termes IGN] intelligence artificielle [Termes IGN] Jakarta (Indonésie) [Termes IGN] méthode de Monte-Carlo [Termes IGN] Mexique [Termes IGN] milieu urbain [Termes IGN] pollution des eaux [Termes IGN] réseau local sans fil [Termes IGN] segmentation sémantique [Termes IGN] séisme [Termes IGN] système d'information géographique Résumé : (éditeur) This book is based on Special Issue "Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS" from early 2020 to 2021. This book includes seven papers related to the application of artificial intelligence, machine learning and deep learning algorithms using remote sensing and GIS techniques in urban areas. Note de contenu : 1- Improvement of earthquake risk awareness and seismic literacy of Korean citizens through earthquake vulnerability map from the 2017 Pohang earthquake, South Korea 2- Land subsidence susceptibility mapping in Jakarta using functional and meta-ensemble machine learning algorithm based on time-series InSAR data 3- Integration of InSAR time-series data and GIS to assess Llnd subsidence along subway lines in the Seoul metropolitan area, South Korea 4- Mapping urban green spaces at the metropolitan level using very high resolution satellite imagery and deep learning techniques for semantic segmentation 5- Susceptibility analysis of the Mt. Umyeon landslide area using a physical slope model and probabilistic method 6- Intelligent WSN system for water quality analysis using machine learning algorithms: A case study (Tahuando River from Ecuador) 7- Groundwater potential mapping using remote sensing and GIS-based machine learning techniques Numéro de notice : 28667 Affiliation des auteurs : non IGN Thématique : IMAGERIE/INFORMATIQUE Nature : Recueil / ouvrage collectif DOI : 10.3390/books978-3-0365-1603-5 En ligne : https://doi.org/10.3390/books978-3-0365-1603-5 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99870

Geo-environment risk assessment in Zhengzhou City, China / Chuanming Ma in Geomatics, Natural Hazards and Risk, vol 11 n° 1 (2020)  

Public [article]  inGeomatics, Natural Hazards and Risk > vol 11 n° 1 (2020) . - pp 40 - 70 Titre : Geo-environment risk assessment in Zhengzhou City, China Type de document : Article/Communication Auteurs : Chuanming Ma, Auteur ; Wu Yan, Auteur ; Xinjie Hu, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : pp 40 - 70 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] cartographie des risques [Termes IGN] Chine [Termes IGN] effondrement de terrain [Termes IGN] évaluation des données [Termes IGN] gestion des risques [Termes IGN] pollution des eaux [Termes IGN] processus de hiérarchisation analytique [Termes IGN] risque environnemental [Termes IGN] séisme [Termes IGN] structure hiérarchique de données [Termes IGN] surveillance géologique [Termes IGN] urbanisme [Termes IGN] zone urbaine dense Résumé : (auteur) The urban geological environment risk assessment is based on the research and analysis of the main geological environmental problems of the city, comprehensively assessing the risk of urban geological environment problems and the possible losses, and studying the degree of matching between the natural and social attributes of the geological environment. According to the urban planning of Zhengzhou City, the different types of functional areas of the city were used as evaluation objects, and the analytic hierarchy-composite index model was used to evaluate the geological environment risk and social economic vulnerability. The risk assessment model was used to evaluate the geological environment risk of Zhengzhou City. The evaluation results show that the area of high-risk area in Zhengzhou accounts for 4.05%; the area of medium-high risk area accounts for 12.89%; the area of medium-low and low-risk area accounts for 83.06%. According to the assessment results, suggestions are put forward to provide service for the urban planning, development and risk management. Highlights: * An urban geo-environment risk assessment technique system combining with the AHP - composite index assessment model is proposed. * Different types of functional zones in Zhengzhou City are taken as assessment units. * Geo-environment risk in Zhengzhou City is qualitatively and quantitatively evaluated. Numéro de notice : A2020-565 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/19475705.2019.1701571 Date de publication en ligne : 27/12/2019 En ligne : https://doi.org/10.1080/19475705.2019.1701571 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95890 [article]

A web-based spatial decision support system for monitoring the risk of water contamination in private wells / Yu Lan in Annals of GIS, vol 26 n° 3 (July 2020)  

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Champs et objets pour mieux représenter les phénomènes dans leur contexte géographique / Anne Ruas in Revue internationale de géomatique, vol 29 n° 2 (avril - juin 2019)  

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Analysis and modelling of remote sensing reflectance during anoxic crisis in the Thau lagoon using satellite images / Manchun Lei (2019)  

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Cartographie de la vulnérabilité de la nappe à la pollution dans la plaine de Sidi Bel Abbes : Apport des données de télédétection et le SIG / N. Bentekhici in Bulletin des sciences géographiques, n° 30 (2015 - 2016)

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Towards a system combining SAR and optical Sentinel data to monitor gold mining in the Guiana shield / Mathieu Rahm (2016)    

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Symbolisation et généralisation de données de réseau à différentes échelles / Ha Pham in Cartes & Géomatique, n° 226 (décembre 2015) 

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Symbolization and generalization to map water pipe data flow and water quality at different scales / Anne Ruas in Cartographic journal (the), Vol 52 n° 2 (May 2015)  

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Apport de l'imagerie satellitaire à haute et très haute résolution pour la recherche d'indices de drainage superficiel : Application aux aires d'alimentation de captage (AAC) d'eau potable / Sébastien Rucquoi in Revue Française de Photogrammétrie et de Télédétection, n° 208 (Octobre 2014)  

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Traçabilité d'une pollution dans le réseau d'assainissement de la ville de Lausanne / Frédéric Ducry in Géomatique suisse, vol 112 n° 10 (octobre 2014)

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Dracunculiasis, proximity, and risk: Analyzing the location of Guinea worm disease in a GIS / Nataniel Royal in Transactions in GIS, vol 17 n° 2 (April 2013)  

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