| publications-2891 |
Conference proceedings |
2021 |
Suhad A. A. A. N. Almuktar, Miklas Scholz |
Farm Constructed Wetlands for Nutrient Recovery and Reuse in Agriculture |
WETPOL 2021, Book of Abstract, 9th International Symposium, |
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Uncategorized |
Irrigation Systems |
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No abstract available |
858375 |
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| publications-2892 |
Conference proceedings |
2021 |
A. Nagy, A. SzabĂł, Cs. JuhĂĄsz, B. GĂĄlya FarkasnĂ©, Ă. Kövesdi and J. TamĂĄs |
Combined traffic control of irrigation on heterogenous field |
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Control Systems |
Irrigation Systems |
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No abstract available |
858375 |
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| publications-2893 |
Other |
2020 |
Burszta-Adamiak E. and FiaĆkiewicz W. |
Projekt WATERAGRI â Jak zatrzymaÄ wodÄ w glebie (The WATERAGRI project â How to stop water in the soil). |
Entrepreneur Agriculture (Printed Magazine in Polish) |
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Uncategorized |
Precipitation & Ecological Systems |
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No abstract available |
858375 |
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| publications-2894 |
Conference proceedings |
2023 |
Alexey Khakalo, Aayush Kumar Jaiswal, Katariina Solin, Hanna-Leena Alakomi, Mona Arnold, Tekla Tammelin |
Nanocellulose-Based Membranes for Nutrient Capture |
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Uncategorized |
Wastewater Treatment Plants |
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No abstract available |
858375 |
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| publications-2895 |
Conference proceedings |
2021 |
Sabrina GrĂŒner, Alba Canet-Marti, Stevo Lavrnic, Attilio Toscano, Thilo Streck, GĂŒnter Langergraber |
Comparison of simple models for free water surface wetlands |
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Simulation & Modeling |
Natural Water Bodies |
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No abstract available |
858375 |
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| publications-2896 |
Conference proceedings |
2023 |
Arnold, M, Canga, E. |
Biochar for agricultural water management |
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Data Management & Analytics |
Uncategorized |
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No abstract available |
858375 |
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| publications-2897 |
Conference proceedings |
2022 |
ReisenbĂŒchler, Markus; Marti, Beatrice; Siegfried, Tobias; Anarbekov, Oyture; Alapfy, Bertalan; RĂŒther, Nils |
Integration of small-scale hydropower in water management: A case study from Shakimardan, Uzbekistan |
7th IAHR Europe Congress: Innovative Water Management in a Changing Climate | Abstract Book |
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AI & Machine Learning |
Wastewater Treatment Plants |
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No abstract available |
101022905 |
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| publications-2898 |
Other |
2023 |
Gruber, R., & Eder, T. |
Kaplan EVO â Rethinking the Kaplan Turbine with the bigger picture in mind (German title: Kaplan EVO â mit dem Blick aufs Ganze die Kaplan-Turbine neu gedacht) |
zek HYDRO |
10.5281/zenodo.11235131 |
AI & Machine Learning |
Wastewater Treatment Plants |
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No abstract available |
101022905 |
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| publications-2899 |
Conference proceedings |
2023 |
Schwedhelm, Hannah; Zhumabaev, Aidar; Siegfried, Tobias; HĂ€gele, Tobias; Kopecki, Ianina; Alapfy, Bertalan; Hayes, Daniel S.; Zeiringer, Bernhard; Jorde, Klaus; RĂŒther, Nils |
Wasserkraftplanung Badam â ein Fallbeispiel fĂŒr nachhaltige Wasserkraft an bestehender BewĂ€sserungsinfrastruktur mit Potential zur Replikation |
BeitrĂ€ge zum 21. Wasserbau-Symposium der Wasserbauinstitute TU MĂŒnchen, TU Graz und ETH ZĂŒrich |
10.5281/zenodo.10635078 |
Uncategorized |
Wastewater Treatment Plants |
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No abstract available |
101022905 |
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| publications-2900 |
Other |
2023 |
Tobias Siegfried, Aziz Ul Haq Mujahid, Beatrice Sabine Marti, Peter Molnar, Dirk Nikolaus Karger and Andrey Yakovlev |
Assessing Future Hydrological Impacts of Climate Change on High-Mountain Central Asia: Insights from a Stochastic Soil Moisture Water Balance Model |
The EGU interactive community platform |
10.5194/egusphere-2023-520 |
Uncategorized |
Wastewater Treatment Plants |
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Abstract. We use a new set of data available to compute 21st century climate impacts on the hydrology of 221 catchments in high-mountain Central Asia. For each of these subcatchments, a parsimonious steady state stochastic soil moisture water balance model was set up and the partitioning of available water from precipitation into runoff and evaporation computed for different climate futures using the Budyko framework. Climate change sensitivity coefficients are analytically derived for the first time using the total differential method. Relative changes in discharge for three future periods 2011â2040, 2041â2070, and 2071â2100 were computed in relation to the baseline period from 1979â2011. For the baseline observation period, climate data from a global high-resolution climatology data set (CHELSA V21) were used to extract mean daily subcatchment-specific temperature and precipitation values. Data from the coupled model intercomparison project phase 6 (CMIP6) were used to compute catchment mean future climate data using 4 GCM models with 4 scenario runs each. CMIP6 data were bias corrected with CHELSA V21 observation data. For the spatial distribution of soil parameters, different global products were utilized. The robustness of the soil water balance model results was assessed using a comprehensive sensitivity analysis in relation to variations of these soil parameters over typically observed ranges for each subcatchment. The analysis of climate change suggests increasing precipitation over the three periods (+4.44 %, +5.89 %, and +8.51 % relative increases in median total precipitation averaged over subcatchment and scenarios). Median values of temperatures changes between periods relative to the baseline are +1.33 °C, +2.44 °C, and +3.55 °C. Results of the hydrological soil water balance model runs suggest a median increase of discharge of +4.71 %, +7.44 % and +10.87 % for the corresponding periods. This is a strong indication of a wetter and hotter future in Central Asia, relative to todayâs hydroclimate. Modelling results suggest that decreasing contributions from glacier melt over the course of the 21st century will be offset by increases in discharge consistently throughout the region, despite increasing potential evapotranspiration. Increases in relative discharge will be most pronounced in the Afghan Murghab-Harirud basin and in the Amu Darya. Changes in precipitation characteristics in terms of frequency and event depth also indicate possible impacts on hydrological extremes which remains a heavily under researched topic in Central Asia. |
101022905 |
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