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WMS Sozialräumliche Integrationsnetzwerke (SIN) Hamburg

Web Map Service (WMS) zum Thema Sozialräumliche Integrationsnetzwerke (SIN) in Hamburg. Zur genaueren Beschreibung der Daten und Datenverantwortung nutzen Sie bitte den Verweis zur Datensatzbeschreibung.

WFS Sozialräumliche Integrationsnetzwerke (SIN) Hamburg

Web Feature Service (WFS) zum Thema Sozialräumliche Integrationsnetzwerke (SIN) in Hamburg. Zur genaueren Beschreibung der Daten und Datenverantwortung nutzen Sie bitte den Verweis zur Datensatzbeschreibung.

Sozialräumliche Integrationsnetzwerke (SIN) Hamburg

Rund um die Unterkünfte für Geflüchtete wurden sozialräumlich ausgerichtete Angebote entwickelt, die die Integration der Familien in die Wohnquartiere verbessern und Teilhabe am sozialen Leben ermöglichen sollen. Die Bezirksämter haben in diesem Rahmen unterschiedlichste familienzentrierte Unterstützungsangebote entwickelt, die der Stärkung der vorhandenen Infrastruktur dienen, Zugänge zu den bestehenden Regelangeboten schaffen und bei Bedarf den Weg in spezialisierte Beratungsstellen ebnen.

E 1.2: Multi-layer drying models for optimising high value crop drying in small scale food industries

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.

B 4.1: Land vulnerability and land suitability analysis in Northern Vietnam

Das Projekt "B 4.1: Land vulnerability and land suitability analysis in Northern Vietnam" wird vom Umweltbundesamt gefördert und von Universität Hohenheim, Institut für Bodenkunde und Standortslehre durchgeführt. As populations are steadily increasing in VN, farming land becomes scarce and new areas are opened up for cultivation, mainly in mountainous regions. On the fragile steep slopes deforestation and soil erosion are the well-known consequences. Land use in Yen Chau District, the study area in Son La, has significantly changed in the last decades. Until now, mainly soil degradation is reported on upland fields, but also soil erosion is increasing, both decreasing crop yields. In this project a database for topography, land use and soil properties within two subcatchments in Yen Chau will be created. The main goal of the project will be to carry out land suitability analysis and land vulnerability analysis, based on the data stored in the database, to provide tools for future sustainable land use planning. For this, a broad approach is intended by assessing land suitability for various crops, fruit trees and livestock production as well as to work out land vulnerability of the research area based on soil characteristics and topographic situation. The land suitability and vulnerability analysis will be carried out with the adopted SOTER (Soil and Terrain) approach. Normally used for a 1:500000 scale the SOTER technology will be developed for a 1:50.000 scale for two subcatchments. This is especially necessary because the closely cooperating projects C4.1 (Land use modelling), B5.1 (Water quality analysis) and G1.2 (Sustainability strategies) will rely on the spatial data of this scale. A totally new objective will be attempted by breaking down the SOTER technology to a scale of 1:5.000 for a village area in one of the selected subcatchments to regard the typical small-scale land use mosaic of a village area. Only with this scale the typical small scale land use mosaic of a village area can relatively precisely be mapped taking settlement areas, fish ponds, homegardens, fields, pastures, forests and scrubland as well as streams and creeks into account. With this approach it will be the first time possible to evaluate agricultural production on a village level using the SOTER technology. The SOTER database will be used with algorithms and soil transfer functions in order to derive soil suitability and soil vulnerability of certain areas. For the suitability analysis of different crops mainly the static approach for water regime, nutrient regime and potential root zone will be generated. As an important tool for decision making the erosion hazards due to water and especially gravity has to be visualized. As participatory soil mapping provides valuable additional information for land use evaluation and potential planning, this approach will be integrated on both the subcatchment and the village level in joint cooperation with A1.3 (Participatory Research). Finally, land use scenarios regarding different factors, e.g. change of cropping patterns, introduction of fruit trees, intensification of fish production or changes in market access, will be modelled.

Die 'Datenbank Arzneimittel in der Umwelt' Aktualisierung für den Zeitraum 2017-2020

Das Projekt "Die 'Datenbank Arzneimittel in der Umwelt' Aktualisierung für den Zeitraum 2017-2020" wird vom Umweltbundesamt gefördert und von GWT-TUD GmbH durchgeführt. Weltweit thematisieren zahlreiche Publikationen den Eintrag von Arzneimitteln aus verschiedenen Emissionsquellen in die Umwelt. Um diese enorme Datenmenge zu überschauen initiierte das Umweltbundesamt im Jahr 2014 ein Datenbankprojekt. Im Rahmen von zwei Projekten wurde seitdem die öffentlich zugängliche Datenbank â€ÌArzneimittel in der Umweltâ€Ì (https://www.umweltbundesamt.de/en/database-pharmaceuticals-in-the-environment-0) etabliert (aus der Beek et al., 2016) und optimiert (Dusi et al., 2019) und weltweite gemessene Konzentrationen von Arzneimittelrückständen in der Umwelt, die bis 2016 veröffentlicht wurden, eingetragen. Das Ziel dieses Projektes war die Aktualisierung der Datenbank mit Umweltkonzentrationen von Arzneimitteln, die im Zeitraum 2017 bis 2020 publiziert wurden. Als Ergebnis einer Literaturrecherche wurden während des Projektes 98.246 Umweltkonzentrationen aus 543 Publikationen in die Datenbank eingetragen. Die aktualisierte Datenbank enthält damit derzeit 276.895 Einträge mit Umweltkonzentrationen aus 2.062 Publikationen, gemessen in 89 Ländern. Zusätzlich wurden 632 Publikationen und 196 Review-Artikel für den Zeitraum 2017-2020, die Konzentrationen von Arzneimittelrückständen in der Umwelt thematisieren, zu einer bestehenden EndNote-Literatur-Datenbank hinzugefügt. Im Rahmen des Berichtes wird ein Überblick über die Umweltmatrices in denen Arzneimittelrückstände weltweit gemessen wurden und die am häufigsten gemessen Substanzen gegeben.

The iron-snow regime in Fe-FeS cores: a numerical and experimental approach

Das Projekt "The iron-snow regime in Fe-FeS cores: a numerical and experimental approach" wird vom Umweltbundesamt gefördert und von Helmholtz-Zentrum Dresden-Roßendorf, Institut für Fluiddynamik durchgeführt. In the Earth, the dynamo action is strongly linked to core freezing. There is a solid inner core, the growth of which provides a buoyancy flux that drives the dynamo. The buoyancy in this case derives from a difference in composition between the solid inner core and the fluid outer core. In planetary bodies smaller than the Earth, however, this core differentiation process may differ - Fe may precipitate at the core-mantle boundary (CMB) rather than in the center and may fall as iron snow and initially remelt with greater depth. A chemical stable sedimentation zone develops that comprises with time the entire core - at that time a solid inner core starts to grow. The dynamics of this system is not well understood and also whether it can generate a magnetic field or not. The Jovian moon Ganymede, which shows a present-day magnetic dipole field, is a candidate for which such a scenario has been suggested. We plan to study this Fe-snow regime with both a numerical and experimental approach. In the numerical study, we use a 2D/3D thermo-chemical convection model that considers crystallization and sinking of iron crystals together with the dynamics of the liquid core phase (for the 3D case the influence of the rotation of the Fe snow process is further studied).The numerical calculations will be complemented by two series of experiments: (1) investigations in metal alloys by means of X-ray radioscopy, and (2) measurements in transparent analogues by optical techniques. The experiments will examine typical features of the iron snow regime. On the one hand they will serve as a tool to validate the numerical approach and on the other hand they will yield important insight into sub-processes of the iron snow regime, which cannot be accessed within the numerical approach due to their complexity.

Soil aeration - the key factor of oak decline in Southwest Germany?

Das Projekt "Soil aeration - the key factor of oak decline in Southwest Germany?" wird vom Umweltbundesamt gefördert und von Universität Freiburg, Institut für Geo- und Umweltnaturwissenschaften, Professur für Bodenökologie durchgeführt. Many research efforts to identify the key factors of oak decline in Europe conclude that it is a 'complex disease'. This result can hardly be falsified because of its fuzziness. A significant contribution of pathogene fungi is not without controversy, because the primary pathogenicity is not proven (Johnsson, 2004). Our starting point is the resarch of Gaertig et al. (2002) who found that on a spatial integration level of 28 oak stands in Baden-Wuerttemberg the symptoms of oak health are significantly correlated with soil aeration. Large-scale changes of soil structure in oak stands during the last decades can be attributed to the mechanization of logging (Vossbrink and Horn, 2004) as well as to a decrease of earthworm activity in acidified soils. In the proposed project we want to establish a relationship between roots and aeration-relevant parameters in a three-dimensional space. This laborious procedure is necessary because the soil-air access is highly heterogeneous and by this way forms a three-dimensional pattern. This makes one-dimensional models unefficient. By modelling the soil air access in a three-dimensional space we want to test the aeration hypothesis. Important indicators of rooting are clustering of fine roots, necrosis, or space discrimination. By assessing simultaneously soil-chemical and soil-physical parameters in the same spatial resolution, alternative hypotheses can be tested. As modelling tools point statistics, non parametric regression (GAM), and a three dimensional solution of the instationary gas-diffusion equation will be used.

Peripheral Access: Mobil und umweltfreundlich - auch in ländlichen Regionen

Das Projekt "Peripheral Access: Mobil und umweltfreundlich - auch in ländlichen Regionen" wird vom Umweltbundesamt gefördert und von Deutscher Verband für Wohnungswesen, Städtebau und Raumordnung e.V. durchgeführt. Umweltfreundlich und ohne eigenes Auto mobil zu sein: das ist in ländlichen Räumen oftmals besonders schwierig. Die Gründe dafür liegen im demographischen Wandel, in knappen öffentlichen Kassen und in einer unzureichenden Zusammenarbeit relevanter Institutionen. Das Interreg-Projekt Peripheral Access - 'Transnational cooperation and partnership for better public transport in peripheral and cross-border regions' - will daher die Mobilität in ländlichen Räumen, im Hinterland von Ballungsräumen und in Grenzregionen verbessern. Es sollen mehr Menschen davon überzeugt werden, ihr Auto stehen zu lassen und den öffentlichen Nahverkehr zu nutzen. Um das zu erreichen, setzt das Projekt auf neue Mobilitätsstrategien. So zum Beispiel auf Busse, die auch Fahrräder befördern, oder auf Rufbusse, die die Passagiere per Smartphone bestellen können.

Tropical High Altitude Clouds and their Impact on Stratospheric Humidity

Das Projekt "Tropical High Altitude Clouds and their Impact on Stratospheric Humidity" wird vom Umweltbundesamt gefördert und von Leibniz-Institut für Troposphärenforschung e.V. durchgeführt. Clouds play a key role in the Earth's climate system by regulation of the incoming and outgoing radiation, chemical and dynamical processes. Ice clouds at high altitudes in the tropics, the so called tropical tropopause layer, are particularly important since this is the main region where air ascends slowly from the troposphere into the dry stratosphere. Thus, these ice clouds affect the stratospheric water vapour content which in itself is a main driver of radiative and chemical processes, e.g. ozone depletion, there. These clouds can either be of convective nature, or occur in convective overshooting cloud turrets, or they form in situ by large scale upwelling and cooling as subvisible cirrus. Although the latter occur frequently, little is known about the exact microphysical formation mechanisms and how they can be maintained. Previous modelling efforts using various different mechanisms, however, have failed to agree with the observed properties. This project aims to improve our knowledge of the impact clouds in the tropical tropopause layer have on stratospheric humidity, by studying their formation, maintenance, and occurrence frequencies.A set of state-of-the-art numerical models will be used to simulate the clouds in the tropical tropopause layer, taking advantage of their particular strengths. These models are the Weather Research and Forecasting (WRF) Model, the GLObal Model of Aerosol Processes (GLOMAP), and the Australian Community Climate and Earth-System Simulator (ACCESS). First, the questions related to the formation and maintenance of subvisible cirrus will be addressed. In a second step the impact of subvisible cirrus and overshooting convection on the stratospheric humidity will be assessed. Both the direct effects (e.g. injection of ice particles into the stratosphere) and indirect effects (e.g. change in dynamical processes) will be studied. In order to estimate the net effect, occurrence frequencies of both cloud types will be derived from a complementary set of ground based remote sensing observations from the Darwin site and satellite observation from the International Satellite Cloud Climatology Project. The data of airborne in situ measurements which I analyzed during my PhD will help to constrain and test the model simulations. A better understanding of the complex processes related to the clouds in the tropical tropopause layer will improve their representation in numerical models and thus, enhance the quality of model predictions. This will improve our ability to constrain climate predictions due to highly uncertain ice cloud processes. Additionally, knowing the impact of these clouds on stratospheric humidity will enable an improved quantification of their climate impact.

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