Ziel des Vorhabens ist die Entwicklung hochaktiver, selektiver und stabiler zeolithischer Redoxkatalysatoren für die selektive Reduktion von Stickstoffoxiden mit Ammoniak. Zu diesem Zweck werden durch Kombination katalytischer Untersuchungen mit Studien zur physikochemischen Charakterisierung von Aktivkomponente und Matrix (Methoden: EPR, ferromagnetische Resonanz (FMR), Mößbauerspektroskopie, EXAFX, XPS, ISS, UV-Vis, IR, Raman, XRD) gesicherte Erkenntnisse über die erforderliche Struktur der Redoxkomponente und der zeolithischen Matrix erarbeitet, die in verbesserte Präparationsstrategien für eine neue Katalysatorgeneration umgesetzt werden. Bezüglich der Strukturierung der Übergangsmetallkomponente ist durch Kombination katalytischer mit spektroskopischen Techniken zwischen der Wirkung isolierter Ionen auf Kationenplätzen sowie intra- bzw. extra-zeolithischer Oxidaggregate zu differenzieren, wobei dem Beweis der katalytischen Relevanz von Spezies über spektroskopische in situ-Studien (EPR, UV-Vis, Raman, EXAFS) besondere Bedeutung zukommt (1.-3. Jahr).
Ende 2023 veröffentlichte die Internationale Standard Organisation (ISO) eine neue Norm zur Treibhausgasneutralität: ISO 14068-1. Sie enthält von internationalen Fachleuten abgestimmte Begriffe, Prinzipien und Anforderungen für THG-neutrale Organisationen und Produkte. Sie hat aber auch erhebliche Schwächen, da sie Aussagen zur THG-Neutralität auch bei hohen fossilen THG-Emissionen und umweltschädlichen THG-Entnahmen erlaubt. In einem Factsheet beschreibt und bewertet das Umweltbundesamt diesen Standard. Sein Fazit: Aussagen zur THG-Neutralität tragen nur dann sinnvoll zum Klimaschutz bei, wenn Unternehmen mehr tun als die Norm verlangt. Sie müssen vor allem ihre THG-Emissionen konsequent verringern.
The Uruguayan gravimetric geoid model UruGeoide110 was calculated by the Military Geographic Institute (IGM) in 2023. The extent is from 29.5° S to 35.5° S in latitude, and 52.5° W to 59.5° W in longitude, covering parts of Argentina and Brazil, with a grid resolution of 1´ x 1´. The geodetic reference system is SIRGAS ROU-98 (the reference ellipsoid is GRS80). The model is a combination of the EIGEN-6C4 geopotential model up to degree and order of 720, 10,429 land gravimetric stations plus 10,089 free air gravity anomalies in marine areas, based on the DTU13 model. The terrain data at the final 90 m resolution was taken from a 2017 Lidar survey in Uruguay with a 2.5 m initial resolution and SRTM (V2) for the external terrestrial data. The DT18 bathymetry model was used for the marine areas. Due to the total terrain data points (about 104 million), the overall area was divided into 4 overlapped blocks in the framework of the remove-compute-restore procedure. The reduced height anomalies were computed from the reduced gravity anomalies with Stokes 1D FFT and Wong Gore´s kernel modification (170-180 degrees). After adding back the residual terrain model effects and the contribution of the global geopotential model, the obtained quasi-geoid was transformed into a geoid model via Bouguer anomalies, even if the difference between the two models is just a few mm. A comparison with 51 GNSS/levelling stations shows a standard deviation of 10 cm. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.
The official Uruguayan geoid model, called IGM110, was calculated by the Military Geographic Institute (IGM) in 2023 and consists of a grid of 1´ x 1´ geoidal undulations with a total of 151,981 points. The geodetic reference system is SIRGAS ROU-98 (the reference ellipsoid is GRS80). The extent is from 29.5° S to 35.5° S in latitude, and 52.5° W to 59.5° W in longitude, covering parts of Argentina and Brazil. The model is a combination of the EIGEN-6C4 geopotential model up to degree and order of 720, 10,429 land gravimetric stations plus 10,089 free air gravity anomalies in marine areas, based on the DTU13 model. The terrain data at the final 90 m resolution was taken from a 2017 Lidar survey in Uruguay with a 2.5 m initial resolution and SRTM (V2) for the external terrestrial data. The DT18 bathymetry model was used for the marine areas. Due to the total terrain data points (about 104 million), the overall area was divided into 4 overlapped blocks in the framework of the remove-compute-restore procedure. The reduced height anomalies were computed from the reduced gravity anomalies with Stokes 1D FFT and Wong Gore´s kernel modification (170-180 degrees). After adding back the residual terrain model effects and the contribution of the global geopotential model, the obtained quasi-geoid was transformed into a geoid model via Bouguer anomalies, even if the difference between the two models is just a few mm. A comparison with 51 GNSS/levelling stations shows a standard deviation of 10 cm. The resulting geoid was also adapted by a bias and a tilt to the national vertical system, Cabildo 1948, by fitting GNSS/levelling observations, with a mean of 1 cm and a standard deviation of 7 cm. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.
The Uruguayan gravimetric quasi-geoid model UruQGeoide110 was calculated by the Military Geographic Institute (IGM) in 2023. The extent is from 29.5° S to 35.5° S in latitude, and 52.5° W to 59.5° W in longitude, covering parts of Argentina and Brazil, with a grid resolution of 1´ x 1´. The geodetic reference system is SIRGAS ROU-98 (the reference ellipsoid is GRS80). The model is a combination of the EIGEN-6C4 geopotential model up to degree and order of 720, 10,429 land gravimetric stations plus 10,089 free air gravity anomalies in marine areas, based on the DTU13 model. The terrain data at the final 90 m resolution was taken from a 2017 Lidar survey in Uruguay with a 2.5 m initial resolution and SRTM (V2) for the external terrestrial data. The DT18 bathymetry model was used for the marine areas. Due to the total terrain data points (about 104 million), the overall area was divided into 4 overlapped blocks in the framework of the remove-compute-restore procedure. The reduced height anomalies were computed from the reduced gravity anomalies with Stokes 1D FFT and Wong Gore´s kernel modification (170-180 degrees) and the quasi-geoid model was finally obtained by adding back the residual terrain model effects and the contribution of the global geopotential model. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.
The gravimetric geoid model xGGM23 was computed at the University of New Brunswick, Canada, with the aim to update the national geoid for Mexico, as well as to contribute to the construction of the regional geoid for North and Central America. Terrestrial gravimetry collected up to year 2020 was processed in spectral combination with the satellite-derived geopotential model GOCO06s (up to degree and order 230) using the UNB’s Stokes-Helmert technique. The geoid model is purely gravimetric, corresponds to the regional standard reference gravity potential for North America (Wo=6263656.0 m2/s2), tide-free gravity concept, and covers latitudes from 10° N to 40° N and longitudes from 125° W to 80° W, with a grid resolution of 2.5 arc minutes. This resolution is coherent with the densification of terrestrial gravity data collected inside Mexico. The accuracy of geoidal height is estimated as 10 cm inside Mexico and 5 cm in the southern US. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.
The ColLSMHA2021 geoid gravimetric model has been computed by the Gravity Research Group of the Department of Geomatics Engineering, Istanbul Technical University (ITU-GRG). This is an updated solution with respect to the ColLSMSA2020 geoid model, that has been computed in the frame of the International Association of Geodesy Joint Working Group 2.2.2 "The 1 cm geoid experiment". The area covered by the model is 109°W ≤ longitude ≤ 103°W, 36°N ≤ latitude ≤ 39°N with a grid spacing of 2' in both latitude and in longitude. The computation is based on the Least Squares Modification of Hotine Integral with Additive Corrections (LSMHA). In the computation, the XGM2016 global geopotential model up to degree/order 719 is used. Integration radius for Hotine integral is chosen as 0.5°. The error degree variance of gravity anomalies is constructed using a bandlimited white noise model where standard deviation is taken as 3 mGal. The input gravity data include terrestrial and airborne data combined using 3D Least-Squares Collocation (LSC). The accuracy of the geoid model over GSVS17 GPS/leveling is 2.7 cm. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.
The ColLSMHA2021 quasi-geoid gravimetric model has been computed by the Gravity Research Group of the Department of Geomatics Engineering, Istanbul Technical University (ITU-GRG). This is an updated solution with respect to the ColLSMSA2020 quasi-geoid model, that has been computed in the frame of the International Association of Geodesy Joint Working Group 2.2.2 "The 1 cm geoid experiment". The area covered by the model is 109°W ≤ longitude ≤ 103°W, 36°N ≤ latitude ≤ 39°N with a grid spacing of 2' in both latitude and in longitude. The computation is based on the Least Squares Modification of Hotine Integral with Additive Corrections (LSMHA). In the computation, the XGM2016 global geopotential model up to degree/order 719 is used. Integration radius for Hotine integral is chosen as 0.5°. The error degree variance of gravity anomalies is constructed using a bandlimited white noise model where standard deviation is taken as 3 mGal. The input gravity data include terrestrial and airborne data combined using 3D Least-Squares Collocation (LSC). The accuracy of the quasi-geoid model over GSVS17 GPS/leveling is 2.6 cm. The quasi-geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.
PIGEOID2021 is a purely gravimetric quasi-geoid model covering the whole Paracel Islands in the northwestern South China Sea. The quasi-geoid is referred to the GRS80 ellipsoid and extends from 15.27°N to 18.23°N and from 110.59°E to 113.30°E with a grid spacing of 30" in both the latitudinal and longitudinal directions. PIGEOID2021 is computed using localised airborne gravity anomalies (with an accuracy of 1.44 mGal at a resolution of 3 km) under the framework of the remove-compute-restore method, where XGM2019e_2159 (truncated to d/o 1080) is used as the reference model and the residual terrain model is applied for smoothing local gravity field at very short scales (< 3 km). The residual gravity field is parameterized using Poisson wavelets by assuming white noise of observations. Comparisons with altimeter-derived geometric quasi-geoid heights retrieved from Jason-2, CryoSat-2, and SARAL show the misfits of PIGEOID2021 are within 5 cm. Further analysis shows PIGEOID2021 reduces the bubble-like errors over island areas by a magnitude exceeding 6 cm compared to existing global geopotential models. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.
The ETH-QM21 model is a gravimetric quasigeoid of 2'x2' spatial resolution developed over Ethiopia. This solution has been derived from the ETH-GM21 gravimetric geoid model by using the ETH-GQS geoid-to-quasigeoid separation surface over Ethiopia (see Dataset Description). Considering the rough topography of Ethiopia, the ETH-QM21 would be beneficial for normal height measurements. The ETH-QM21 model would be beneficial for normal height measurements, also considering the rough topography of Ethiopia. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.
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