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Application of geographic Information system and remote sensing in multiple criteria analysis to identify priority areas for biodiversity conservation in Vietnam / Xuan Dinh Vu (2020)  

Public Titre : Application of geographic Information system and remote sensing in multiple criteria analysis to identify priority areas for biodiversity conservation in Vietnam Type de document : Thèse/HDR Auteurs : Xuan Dinh Vu, Auteur Editeur : Dresde [Allemagne] : Technische Universität Dresden Année de publication : 2020 Importance : 294 p. Format : 21 x 30 cm Note générale : bibliographie Dissertation for awarding the academic degree Doctor of Natural Science Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] aire protégée [Termes IGN] classification dirigée [Termes IGN] classification par maximum de vraisemblance [Termes IGN] image Landsat-OLI [Termes IGN] image Landsat-TM [Termes IGN] image Sentinel-MSI [Termes IGN] occupation du sol [Termes IGN] pansharpening (fusion d'images) [Termes IGN] processus de hiérarchisation analytique [Termes IGN] protection de la biodiversité [Termes IGN] réflectance de surface [Termes IGN] série temporelle [Termes IGN] système d'information géographique [Termes IGN] télédétection [Termes IGN] Viet Nam [Termes IGN] zonage (urbanisme) Index. décimale : THESE Thèses et HDR Résumé : (auteur) There has been an increasing need for methods to define priority areas for biodiversity conservation since the effectiveness of biodiversity conservation in protected areas planning depends on available resources (human resources and funds) for the conservation. The identification of priority areas requires the integration of biodiversity data together with social data on human pressures and responses. However, the deficit of comprehensive data and reliable methods are key challenges in zoning where the demand for conservation is most urgent and where the outcomes of conservation strategies can be maximized. In order to fill this gap, the environmental model Pressure–State–Response (PSR) was applied to suggest a set of criteria to identify priority areas for biodiversity conservation. The empirical data have been compiled from 185 respondents, categorizing into three main groups: Governmental Administration, Research Institutions, and Protected Areas in Vietnam, by using a well-designed questionnaire. Then, the Analytic Hierarchy Process (AHP) theory was used to identify the weight of all criteria. These results show that three main factors could identify the priority level for biodiversity conservation: Pressure, State, and Response, with weights of 41%, 26%, and 33%, respectively. Based on the three factors, seven criteria and 17 sub-criteria were developed to determine priority areas for biodiversity conservation. In addition, this study also indicates that the groups of Governmental Administration and Protected Areas put a focus on the “Pressure” factor while the group of Research Institutions emphasized the importance of the “Response” factor in the evaluation process. Then these suggested criteria were applied by integrating with Geographic Information System (GIS) and Remote Sensing (RS) to define priority areas for biodiversity conservation in a particular conservation area (Pu Luong-Cuc Phuong area) in Vietnam. The results also reveal the proportion of very high and high priority areas, accounting for 84.9%, 96%, and 65.9% for Cuc Phuong National Park, Pu Luong Nature Reserve, and Ngoc Son Ngo Luong Nature Reserve, respectively. Based on these results, recommendations were provided to apply the developed criteria for identifying priority areas for biodiversity conservation in Vietnam. Note de contenu : 1- Introduction 2- Literature review 3- Research methodology 4- Establishment of criteria 5- Application of criteria 6- Conclusions and recommandations Numéro de notice : 28465 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/GEOMATIQUE/IMAGERIE Nature : Thèse étrangère Note de thèse : PhD thesis : Natural Science : Dresde : 2020 DOI : sans En ligne : http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa2-737808 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99087

Development of a GIS and model-based method for optimizing the selection of locations for drinking water extraction by means of riverbank filtration / Yan Zhou (2020)  

Public Titre : Development of a GIS and model-based method for optimizing the selection of locations for drinking water extraction by means of riverbank filtration Type de document : Thèse/HDR Auteurs : Yan Zhou, Auteur Editeur : Dresde [Allemagne] : Technische Universität Dresden Année de publication : 2020 Importance : 181 p. Format : 21 x 30 cm Note générale : bibliographie A dissertation in partial fulfillment of the requirements for the degree of Doctor rerum naturalium Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] acquisition de données [Termes IGN] assainissement [Termes IGN] Chine [Termes IGN] eau de surface [Termes IGN] eau potable [Termes IGN] géostatistique [Termes IGN] gestion de l'eau [Termes IGN] krigeage [Termes IGN] rive Résumé : (auteur) The lack of safe drinking water worldwide has drawn the attention of decision makers to riverbank filtration (RBF) for its many advantages in purifying surface water. This study provides an overview of the hydrogeologic, fluvial, and environmental influences on the performance of RBF systems and aims to develop a model for RBF site selection. Using multi-attribute utility theory (MAUT), this study structured the RBF siting problem and assessed a multiplicative utility function for the decision maker. In a case study, geostatistical methods were used to acquire the necessary data and geographic information systems (GIS) were used to screen sites suitable for RBF implementation. Those suitable sites were then evaluated and ranked using the multi-attribute utility model. The result showed that sites can be identified as most preferred among the selected suitable sites based on their expected utility values. This study definitively answers the question regarding the capability of MAUT in RBF site selection. Further studies are needed to verify the influences of the attributes on the performance of RBF systems. Note de contenu : 1- Introduction 2- Fundamentals and Literature Review 3- Developing a Multi-attribute Utility Model for RBF Site Selection 4- Case Study 5- Conclusions and Recommendations Numéro de notice : 28610 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Thèse étrangère Note de thèse : PhD Thesis : Environmental Science : Technische Universität Dresden : 2020 DOI : sans En ligne : http://d-nb.info/1227833202/34 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99477