Dieser Dienst stellt für das INSPIRE-Thema Gewässernetz (Hydro-Physische Gewaesser) umgesetzte Daten der BUE bereit. Zur genaueren Beschreibung der Daten und Datenverantwortung nutzen Sie bitte den Verweis zur Datensatzbeschreibung.
Dieser Dienst stellt für das INSPIRE-Thema Gewässernetz (Hydro-Physische Gewässer) umgesetzte Daten der BUE bereit. Zur genaueren Beschreibung der Daten und Datenverantwortung nutzen Sie bitte den Verweis zur Datensatzbeschreibung.
Der Datensatz enthält die Bauwerke in und an Gewässern der Freien und Hansestadt Hamburg im INSPIRE Zielmodell.
Dieser Dienst stellt für das INSPIRE-Thema Gewässernetz (Hydro-Physische Gewässer) aus ATKIS Basis-DLM umgesetzte Daten bereit.:Dieser Layer visualisiert die saarländischen Bauwerke an Gewässern, abgeleitet aus dem ATKIS Basis-DLM. Die Datengrundlage erfüllt die INSPIRE Datenspezifikation.
Dieser Dienst stellt für das INSPIRE-Thema Gewässernetz (Hydro-Physische Gewässer) aus ATKIS Basis-DLM umgesetzte Daten bereit. Das Thema Gewässernetz ist in Anhang I der INSPIRE-Richtlinie ist dieses Thema wie folgt definiert: „Elemente des Gewässernetzes, einschließlich Meeresgebieten und allen sonstigen Wasserkörpern und hiermit verbundenen Teilsystemen, darunter Einzugsgebiete und Teileinzugsgebiete. Gegebenenfalls gemäß den Definitionen der Richtlinie 2000/60/EG des Europäischen Parlaments und des Rates vom 23. Oktober 2000 zur Schaffung eines Ordnungsrahmens für Maßnahmen der Gemeinschaft im Bereich der Wasserpolitik (2) und in Form von Netzen.“ Zusätzlich findet man im Steckbrief Hydrografie GDI-DE(www.geoportal.de) folgende ergänzende Definition zum Thema. „Die Datenspezifikation zum Thema Hydrografie legt den Schwerpunkt auf die Darstellung und Beschreibung von Stehgewässern und Fließgewässern bzw. Seen, Flüssen und anderen Gewässern. Je nach Anwendungsfall gibt es thematische und geographische Einschränkungen bzw. eine unterschiedliche Semantik: Geographisch betrachtet sind alle Binnengewässer bzw. oberirdischen Wasserkörper im Binnenland angesprochen. Topographisch gesehen umfasst der Begriff „Gewässernetz“ die Gesamtheit aller von der Quelle bis zur Mündung zueinander fließenden Gewässer.„:Ein flacher Teil eines Wasserlaufs, der als Übergang genutzt wird.
Der Datenbestand enthält für die Fläche von Nordrhein-Westfalen das Gewässernetz (hier: Physische Gewässer) in der INSPIRE-Datenstruktur (abgeleitet aus ATKIS Basis-DLM). Der Aktualisierungszyklus beträgt einen Monat. Stand der verwendeten Daten: 31.08.2023.
Das Projekt "SO2 IN AIR" wird vom Umweltbundesamt gefördert und von Messer-Griesheim GmbH durchgeführt. Community Directive 80/779/EEC specifies maximum permissible levels of sulphur dioxide in the ambient air. Intercomparisons organized by DG XI in support of the implementation of this Directive have shown differences in excess of 10 percent between central laboratories and in excess of 30 percent between network monitors. The aim of the project was to improve the analytical technique and agreement between results. STATUS: In the first intercomparison the values obtained ranged from 78 to 94 nmol/mol. In the final stage the sampling procedure had been improved (dead volume minimised, length of sampling line minimised, sufficient equilibration time). All laboratories agreed to within a range of 4 nmol/mol. Prime Contractor: L'Air Liquide Belge, Schelle, BE.
Das Projekt "E 4.1: Quality and food safety issues in markets for high-value products in Thailand and Vietnam" wird vom Umweltbundesamt gefördert und von Universität Hohenheim, Institut für Agrar- und Sozialökonomie in den Tropen und Subtropen durchgeführt. The production and marketing of high-value agricultural commodities - such as fruits, vegetables, and livestock products - has been an important source of cash income for small-scale farmers in the northern mountainous regions of Thailand and Vietnam. However, against the background of recent free trade agreements and market liberalization, there is increasing national and international competition, partly leading to significant price decreases. Given structural disadvantages of farmers in northern Thailand and Vietnam, it will be very difficult for them to achieve and maintain a competitive position in markets for undifferentiated high-value products. Therefore, product differentiation - in terms of health attributes (e.g., low-pesticide residues, free from diseases and pathogens), taste (e.g., indigenous livestock breeds), time (e.g., off-season production), or processing characteristics (e.g., packaging, drying, canning) - could be a promising alternative. Quality and safety attributes play an increasing role in domestic and international food trade. The additional value generated could lead to sustainable income growth in the small farm sector, but this potential will only materialize when appropriate institutional mechanisms help reduce transaction costs and allow a fair distribution of benefits. This subproject seeks to analyze how the production and marketing of high-value agricultural products with quality and safety attributes can contribute to pro-poor development in northern Thailand and Vietnam. Quality and safety attributes can only generate value when they directly respond to consumer demand. Furthermore, since they are often credence attributes, the product identity has to be preserved from farm to fork. Therefore, the analysis will cover the whole supply chain, from agricultural production to final household consumption. Interview-based surveys of farmers, intermediate agents, and consumers will be carried out in Thailand, and to a limited extent also in Vietnam. The data will be analyzed econometrically with regard to the structure of high-value markets, trends and their determinants, and efficiency and equity implications of different institutional arrangements (e.g., contract agriculture, supermarket procurement). Since in northern Vietnam, the marketing of high-value products is a relatively recent activity, markets for more traditional crops will be analyzed as well, to better understand the linkages between different cash-earning activities in the semi-subsistent farm households. Apart from their direct policy relevance, the results will contribute to the broader research direction of the economics of high-value agricultural markets in developing countries. Moreover, they will generate useful information for other subprojects of the Uplands Program.
Das Projekt "E 1.2: Multi-layer drying models for optimising high value crop drying in small scale food industries" wird vom Umweltbundesamt gefördert und von Universität Hohenheim, Institut für Agrartechnik, Fachgebiet Agrartechnik in den Tropen und Subtropen durchgeführt. Fruit tree cultivation is a suitable option for erosion control in mountainous regions of Southeast Asia. However, seasonal overproduction and insufficient access to markets can cause economic losses. The possibility of processing fruits locally could contribute considerably to increase and stabilize farm income. Currently, fruit drying methods in these areas are yielding products of inferior quality. Pre-treatments such as sulphurizing are commonly used, but can make the product undesirable for international markets. In addition, high energy requirements increase production costs significantly. Therefore, the objective of subproject E1.2 is to optimize the drying process of small-scale fruit processing industries in terms of dryer capacity, energy consumption and efficiency and end product quality. During SFB-phase II in E1.1, drying fundamentals for the key fruits mango, litchi and longan were established. In laboratory experiments, impacts of drying parameters on quality were investigated and numerical single-layer models for simulation of drying kinetics have been designed. In SFB-phase III this knowledge will be expanded with the aim of optimizing practical drying processes. Therefore, the single-layer models will be extended to multi-layer models for simulating bulk-drying conditions. The Finite Element Method (FEM) will be adapted to calculate heat and mass transfer processes. Thermodynamic behavior of batch and tray dryers will be simulated using Computational Fluid Dynamics (CFD) software. Drying facilities will be optimized by systematic parameter variation. For reduction of energy costs, the potential of solar energy and biomass will be investigated in particular. Further research approaches are resulting from cooperation with other subprojects. A mechanic-enzymatic peeling method will be jointly used with E2.3 for studying the drying behavior of peeled litchi and longan fruits. Furthermore, a fruit maturity sensor based on Acoustic Resonance Spectroscopy (ARS) will be developed in cooperation with E2.3 and B3.2. Finally, an internet platform will be built for exchange of farmer-processor information about harvest time and quantities to increase utilization of the processing facilities.