Zu den anlagenbezogenen Wasserbucheinträgen zählen u.a. folgende wasserrechtliche Tatbestände: Benutzungen von Grundwasser und/oder Oberflächenwasser gemäß § 9 WHG i.V.m. § 5 SächsWG; Einleiten von Abwasser in Gewässer gemäß § 57 WHG (Direkteinleitung) i.V.m. § 51 SächsWG; Einleiten von Abwasser in öffentliche Abwasseranlagen gemäß § 58 WHG (Indirekteinleitung) i.V.m. § 53 SächsWG oder Einleiten von Abwasser in private Abwasseranlagen gemäß § 59 WHG; Errichtung, Betrieb, wesentliche Änderung, Unterhaltung und/oder Stilllegung von Anlagen in, an, über und unter oberirdischen Gewässern gemäß § 36 WHG i.V.m. § 26 SächsWG; Errichtung, Betrieb sowie die wesentliche Veränderung oder Beseitigung einer Abwasserbehandlungsanlage gemäß § 60 WHG i.V.m. § 55 SächsWG; Errichtung, Betrieb sowie die wesentliche Veränderung oder Beseitigung von öffentlichen Wasserversorgungsanlagen gemäß § 55 SächsWG i.V.m. § 50 Abs. 4 WHG; Nutzung von Fernwasser gemäß § 44 SächsWG i.V.m. § 50 Abs. 2 WHG; Errichtung, Betrieb und/oder wesentliche Änderung von Anlagen zum Lagern, Abfüllen oder Umschlagen wassergefährdender Stoffe gemäß § 63 WHG; Gewässerausbau sowie Errichtung von Deich- und Dammbauten gemäß § 68 WHG i.V.m. § 63 SächsWG; Herstellung, wesentlichen Änderung oder Beseitigung eines Flutungspolders gemäß § 63 SächsWG; Übertragen der Unterhaltungslast zur Gewässerunterhaltung gemäß § 40 WHG i.V.m. § 33 SächsWG, Übertragen der Pflicht zur Abwasserbeseitigung gem. § 56 WHG, Übertragen der Pflicht zur öffentlichen Wasserversorgung gemäß § 43 SächsWG; Duldungs- und Gestattungsverpflichtungen nach § 99 SächsWG (Zwangsrechte)
Bei den Wasserbucheinträgen zur Flächengebietsfestsetzung handelt es sich u.a. um folgende wasserrechtliche Tatbestände: Wasserschutzgebiete gemäß § 51 WHG i.V.m. § 46 SächsWG; Heilquellenschutzgebiete gemäß § 53 WHG i.V.m. § 47 SächsWG; Überschwemmungsgebiete an oberirdischen Gewässern sowie vorläufig gesicherte Überschwemmungsgebiete gemäß § 76 WHG i.V.m. § 72 SächsWG; Risikogebiete gemäß § 74 WHG bzw. überschwemmungsgefährdeter Gebiete gemäß § 75 SächsWG; Hochwasserentstehungsgebiete gemäß § 78d WHG i.V.m. § 76 SächsWG; Festsetzung von Gewässerrandstreifen nach § 38 Abs. 3 WHG i.V.m. § 24 Abs. 4 SächsWG
Das Projekt "4DEMON: 4D Near Real-Time Environmental Monitoring" wird/wurde gefördert durch: Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg. Es wird/wurde ausgeführt durch: Universität Heidelberg, Geographisches Institut, Abteilung Geoinformatik.Motivation: Our physical environment underlies permanent changes in space and time with strongly varying triggers, frequencies, magnitudes and also consequences to humans. Monitoring of Earth surface processes (e.g. landslides) and the assessment of environmental properties (e.g. agricultural plant conditions) is crucial to improve our scientific understanding of complex human-environmental interactions and helps us to respond by adaptation or mitigation. The last decade has witnessed extensive application of 3D environmental monitoring with the LiDAR technology, also referred to as laser scanning. Although a multitude of automatic methods were developed to extract environmental parameters from LiDAR point clouds, only little research has focused on highly multitemporal LiDAR monitoring (4D-LiDAR). Large potential of applying 4D-LiDAR is given for landscape objects with high and varying rates of change (e.g. plant growth), and also for processes with sudden unpredictable changes (e.g. natural hazards). Main Objective: In this project we (re)assess the scientific concepts and data models for big 4D LiDAR data. In our core concept, a single LiDAR point is treated as an observation in space and time, and the measurements are not independent of each other in space and time. Further, based on two real-world use cases we will develop new algorithms for surface parameter derivation (agricultural crops) and change detection (landslides) making use of the 'full history' contained in the 4D point cloud time series. We will evaluate our novel methods with respect to near real-time analysis capability (in between of two epochs), making use of the entire big point cloud archive collected during permanent long-term terrestrial LiDAR.
Das Projekt "Creation of indicators and tools for measuring the usage effectiveness of State Forests’ tourist infrastructure" wird/wurde gefördert durch: Lasy Panstwowe. Es wird/wurde ausgeführt durch: Universität für Bodenkultur Wien, Institut für Landschaftsentwicklung, Erholungs- und Naturschutzplanung (ILEN).Forests play an important role in environmental functions which are crucial for human wellbeing. Recently, also the meaning of social functions of forests is being increasingly acknowledged. The State Forests in Poland allocate significant part of their resources to provide new tourist infrastructure and maintain the existing one. In order to successfully manage forest areas and to gain realistic view on actual visitation levels and use of touristic objects managed by the State Forests, it is necessary to find reliable and effective tools and methods for visitor data collection and data analysis. From the management perspective definition of indicators and standard tools that could assist management of tourism and recreation in the forests is particularly important. The objective of the proposed project is to create the list of indicators and to define reliable tools that can be utilized for measuring the usage effectiveness of recreation and tourist infrastructure. The infrastructure to be investigated comprises loging objects (e.g. hunters huts, recreational and educational centers) and non-lodging objects (e.g. recreational trails, parking lots).
Das Projekt "FP7-SPACE, Advanced Techniques for Forest Biomass and Biomass Change Mapping Using Novel Combination of Active Remote Sensing Sensors (ADVANCED_SAR)" wird/wurde gefördert durch: Kommission der Europäischen Gemeinschaften Brüssel. Es wird/wurde ausgeführt durch: Maanmittauslaitos.The S&T objectives of the Advanced SAR project are: 1) to develop advanced Earth Observation methods by combining 3D data derived from various Remote Sensing systems in an novel way and 2) to show their improved performances in forest biomass estimation and biomass change detection with respect to present GMES services. The methodology is based on object-based, multi-date analysis of Sentinel-1 (C-band), TerraSAR/TanDEM-X (X-band), ALOS-2 PALSAR-2 (L-band) SAR data utilizing radargrammetry and Interferometric Synthetic Aperture Radar (InSAR). Understanding of 3D forest responses will be deepened by comparing results to other modern 3D methods: optical satellite stereo-photogrammetry, simulated space-borne LiDAR (laser ranging), and Airborne Laser Scanning (ALS). It will be shown that high-quality estimation and change detection can be done at different scales (thus improving estimation accuracy at national level). We develop methods to derive the best possible cost-efficiency out of the given SAR data with an aim to significantly advance current GMES services. The methodological quality will be verified by comparing the relationship between SAR canopy height estimates with those of two probing systems: TomoRadar (profiling radar) and ALS. ALS gives more information of canopy gaps whereas TomoRadar will give information of canopy penetration at radar frequencies. A physical model is created between the SAR response and the ground truth. Deep physical understanding of where the radar signals originate in the vertical dimension is created for SAR scenes with using ALS and TomoRadar data as a high-quality reference. Moreover, Mobile and Terrestrial Laser Scanning methods for field inventory are tested in real-life scenario. Two super test sites 1) boreal test site Evo (Finland) and 2) hemi-boreal test site Remningstorp (Sweden) are used to verify and demonstrate SAR-based 3D methods. For demonstration purposes, we create SAR-based biomass and change maps covering a large region of Sweden for Swedish National Forest Inventory.
Das Projekt "Schwerpunktprogramm (SPP) 527: Bereich Infrastruktur - Integrated Ocean Drilling Program/Ocean Drilling Program (IODP/ODP), Sub project: Pattern recognition in electrical images - digital image analysis with special focus on Gas Hydrate Leg 204" wird/wurde gefördert durch: Deutsche Forschungsgemeinschaft. Es wird/wurde ausgeführt durch: RWTH Aachen University, E.ON Energy Research Center (E.ON ERC) Institute for Applied Geophysics and Geothermal Energy (GGE).Electrical images are widely used in oil industry for borehole inspection and reservoir characterisation. They consist of artifically colour-coded micro-resistivity measurements on the borehole wall. In ODP these are commonly used to study the internal structure of the oceanic crust. At present, the reconstruction of lithology from electrical images is purely based on visual inspection and subjective interpretation. Our objectives are to (1) develop methods for an object- and texture-based pattern recognition of electrical images; (2) develop methods for an automatic classification of rocks; (3) apply this methodology to study the occurrence and characteristics of gas hydrates at ODP Leg 204. Avaible methods from seismic data interpretation and biomedical imaging will be adapted for use with resistive images. In particular, we will implement an algorithm for automatic object identification for a study of the internal rock morphology with respect to sediments drilled at ODP Leg 204. This way, resistivity anomalies caused by gas hydrates will localised them in electrical images. Their proportion, size, and shape will be quantified in order to analyse anisotropy and spatial heterogeneity of identified gas hydrates. Finally, we will correlate the 1D information from all available boreholes and interpolate them into a 2D map of the gas hydrates distribution at Leg 204.
Das Projekt "Schwerpunktprogramm (SPP) 1158: Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; Bereich Infrastruktur - Antarktisforschung mit vergleichenden Untersuchungen in arktischen Eisgebieten, Comparative functional biodiversity of Antarctic and Arctic Sea Ice Communities" wird/wurde gefördert durch: Deutsche Forschungsgemeinschaft. Es wird/wurde ausgeführt durch: Universität Konstanz, Fachbereich Biologie, Arbeitsgruppe Ökophysiologie der Pflanzen.The aim of this project is to determine the eukaryotic biodiversity and transcriptional activity in Arctic sea ice samples using phylogenetic approaches, and to compare the results to respective data obtained from Antarctic sea ice samples. Sea ice is a seemingly hostile habitat with regard to its abiotic constraints. Despite these harsh conditions it is heavily populated by microbial organisms, constituting an ecosystem of global significance. Here we propose to describe the molecular biodiversity of selected sea ice communities by generating environmental 18s rDNA libraries, helping us to unravel the identity of unknown or unculturable species ('hidden biodiversity'). We also aim for determining the transcriptional input of eukaryotic sea ice organisms to ecosystem functioning by randomly sequencing environmental cDNA samples. Using recently developed phylogenetic tools we will determine function and phylogenetic affiliation of ESTs and on order to link sea ice biodiversity with transcriptional activity of major groups and selected genomes and metagenomes. We further intend to correlate biodiversity and transcriptional activity with in situ physical and biochemical parameters measured during.sampling. Finally we will compare the functional biodiversity in Antarctic versus Arctic sea ice. Since psychrophilic microorganisms possess unique physiological adaptations to their extreme habitat, they are potentially interesting objects for applied science.
Das Projekt "H2020-EU.3.5. - Societal Challenges - Climate action, Environment, Resource Efficiency and Raw Materials - (H2020-EU.3.5. - Gesellschaftliche Herausforderungen - Klimaschutz, Umwelt, Ressourceneffizienz und Rohstoffe), Robotic Recycling Revolution (Robolution)" wird/wurde ausgeführt durch: ZenRobotics Ltd..
Das Projekt "Automated Sorting and Recycling of Waste Lamps (ILLUMINATE)" wird/wurde gefördert durch: Kommission der Europäischen Gemeinschaften Brüssel. Es wird/wurde ausgeführt durch: C-Tech Innovation Ltd..In order to facilitate lamp waste treatment, maximize the recovery rates and improve working environment, an automated, sealed sorting unit will be required. The concept of the ILLUMINATE proposal is to develop automated systems that are able to effectively sort bulbs into different classes and remove foreign objects. This is essential for an economically viable process. The unit will be based on a sensor system combined with self-learning processing unit and will be able to recognize shapes, colours materials, and/or weight. To remedy the current situation where there is little or no separation of mercury containing from non mercury containing materials from bulbs at end of life, the ILLUMINATE project will develop methods and processes for two main areas of the supply chain: collection of the waste streams and sorting of the waste. Once the identification and separation has been achieved the materials from both mercury containing and non mercury containing waste streams can then be handled by the appropriate processing steps in order to cost effectively recycle the waste bulbs. This proposal aims at enhancing the current recycling chain by providing a complete process from collection to pre-processing of waste lamps. In addition to sorting the lamps into proper fractions, the sorting unit will be able to register the number and types of lamps (or other objects) passing through the unit, thereby enabling well-defined statistics on treated lamps and process disturbances due to non-lamp objects received. The statistics provide a basis for more accurate waste treatment costs, other compensation models for producer responsibility, market/sales data and a basis for production planning.
Das Projekt "Forschergruppe (FOR) 1598: From Catchments as Organised Systems to Models based on Dynamic Functional Units (CAOS), An adaptative process based model framework for water-, energy- and mass cycles in lower mesoscale catchments" wird/wurde gefördert durch: Deutsche Forschungsgemeinschaft. Es wird/wurde ausgeführt durch: Karlsruher Institut für Technologie (KIT), Institut für Wasser und Gewässerentwicklung, Bereich Hydrologie.We suggest an adaptive model framework named CAOS (Catchments As Organized Systems) that is based on elementary functional units (EFUs), which are regarded as homogeneous with respect to their hydrological functioning. These EFUs are arranged along time invariant lead structures in the landscape such as the catena. Depending on the prevailing boundary conditions, their internal states and external drivers, EFUs will be grouped into sets named dynamic functional units (DFUs). DFUs are deemed to function similarly with respect to the processes and structures that dominate either energy exchange or, under rainfall-driven conditions, vertical and lateral flow processes. Thus, dynamics in the entire set can be represented by simulating dynamics for a single or a few representatives. This will reduce computational effort to a minimum amount and ideally allows application of the CAOS model for improving hydrological practice at the lower mesoscale. Most of the necessary process descriptions for the model objects will be iteratively refined based on growing insights and growing data sets in the individual sub projects. Project S will furthermore develop and maintain structures to manage all data required for and produced by the research unit and organise frequent meetings to sustain knowledge transfer among the participating projects.
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