Nguyen Xuan Thinh

Building Resilience to Climate Change Through Adaptive Land Use Planning in Ho Chi Minh City, Vietnam

This paper describes the adaption needs of Ho Chi Minh City and its efforts to develop and incorporate adaptation principles into its urban decision-making and planning processes. We outline an approach that is envisioned to lead to an increase in the city’s resilience to climate-related physical and social vulnerabilities. This paper describes the objectives of an integrated adaptation planning framework for the city, which is intended to advance and disseminate knowledge, inform decision makers and the general public about climate change risks, and increase their capacity to implement necessary adaptation measures while strengthening the general response capacity of the urban system.

Investigation and comparison of land-cover change patterns in Xuzhou city, China, and Dortmund city region, Germany, using multitemporal Landsat images

Abstract Analyzing spatiotemporal characteristics of land-cover (LC) change is important for assessing environmental consequences of urban growth and supporting land management and planning. Less attention, however, has been given to the comparison between land-cover change patterns in developing and developed countries. In this study, Xuzhou city and Dortmund city region were selected as study areas. Multitemporal Landsat images were classified by using the integration method of maximum likelihood classifier, subpixel classifier, and multiple normalized difference vegetation index values based on Vegetation-Impervious Surface-Soil model. Urban growth patterns and processes of the two study areas were investigated and compared through land-cover change detection, buffer analysis, and jaggedness degree. The results indicated that the urban area in Xuzhou city increased more than threefold dramatically from 128.5 to 418.3     km 2 , and the increased sprawling development trend was observed during the study period, while Dortmund city region showed a slight increase from 498 to 715.5     km 2 in urban areas with an increasingly compact development trend. The results revealed a notable difference of spatiotemporal land-cover pattern dynamics between the two study areas as well as confirmed the effectiveness of the combined method of remote sensing and spatial analysis that can be used to support land management and policy decisions.

Combined top-down and bottom-up climate change impact assessment for the hydrological system in the Vu Gia- Thu Bon River Basin

Vu Gia- Thu Bon (VGTB) River Basin, located in the Central Coastal zone of Viet Nam currently faces water shortage. Climate change is expected to exacerbate the challenge. Therefore, there is a need to study the impacts of climate change on water shortage in the river basin. The study adopts a combined top-down and bottom-up climate change impact assessment to address the impacts of climate change on water shortage in the VGTB River Basin. A MIKE BASIN water balance model for the river basin was established to simulate the response of the hydrological system. Simulations were performed through parametrically varying temperature and precipitation to determine the vulnerability space of water shortage. General Circulation Models (GCMs) were then utilized to provide climate projections for the river basin. The output from GCMs was then mapped onto the vulnerability space determined earlier. In total, 9 out of 55 water demand nodes in the simulation are expected to face problematic conditions as future climate changes.

Raumplanung/-wissenschaft als Erheber, Nutzer und Anbieter von modernen Geodaten?

Zunachst charakterisiert der Beitrag die vielfaltigen Aufgaben und Tatigkeiten sowie die erforderlichen Kompetenzen der Raumplanerinnen und Raumplaner und zeigt auf, dass Raumplanung ohne Daten nicht moglich ist. Danach wird beantwortet, welche Informationen und Geodaten die Raumplanung braucht, und angefuhrt, dass sich moderne Geodaten vor allem durch Dreidimensionalitat und Kleinraumigkeit sowie die gewohnlichen Qualitatsmerkmale wie hohe Relevanz, Genauigkeit, raumzeitliche Auflosung und Aktualitat sowie Vollstandigkeit, Validitat, Zuverlassigkeit und Punktlichkeit, Zugangsmoglichkeiten und Klarheit, Vergleichbarkeit und Koharenz sowie das Vorhandensein detaillierter und pragnanter Metadaten auszeichnen. Um eine Orientierung fur das Auffinden, Erheben, Nutzen und Austauschen von Geodaten zu geben, stellt der Autor eine Ubersicht fur Deutschland pragende Meilensteine der Entwicklung von Geodaten im Zuge der Umsetzung von INSPIRE-Richtlinien zusammen und skizziert ausgewahlte bedeutende deutsche Institutionen, welche Geodaten erheben, vorhalten und anbieten. Des Weiteren wird auf neue Entwicklungen zur Erhebung von Geodaten, insbesondere von Sensoren und Big Data sowie auf raumbezogenes Data Mining zum Erzeugen und Anbieten hochwertiger Geodaten in Form relevanter Raummuster eingegangen.

Examination of Several Results of Different Cluster Analyses with a Separate View to Balancing the Economic and Ecological Performance Potential of Towns and Cities

The objective of this paper is to compare cluster analyses conducted by using different methods for 116 administratively autonomous municipalities (kreisfreie Staedte) in Germany. The cluster analyses aim to provide answers to the question as to the impact of land-use structures on the performance potential of towns and cities. Drawing on the database established, 11 attribute variables for the analysis were selected that significantly characterise a city’s land-use structures and go a long way towards moulding its economic and ecological performance. We show that no cluster structure exists in the data set. Therefore we investigate the data set by using Gaussian Mixture-Models estimating by Expectation-Maximization (EM) algorithm. This indicates that three or two variables suffice to classify the cities. The next step in our exploratory research is to conduct and to compare the results of different classification algorithms for these three and two variables. The classification based on EM algorithm allows us to identify 8 classes. We discuss them and compare this result with results of some cluster analyses with a separate view to balancing the economic and ecological performance potential of towns and cities.