| publications-1891 |
Peer reviewed articles |
2023 |
Andrea SzabĂł, JĂĄnos TamĂĄs, ĂdĂĄm Kövesdi, Attila Nagy |
Evaluation of new pivoting linear-move precision irrigation machine |
Irrigation and Drainage |
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Simulation & Modeling |
Wastewater Treatment Plants |
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No abstract available |
858375 |
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| publications-1892 |
Peer reviewed articles |
2024 |
Attila Nagy, Nikolett Ăva Kiss, Erika Buday-BĂłdi, TamĂĄs Magyar, Francesco Cavazza, Salvatore Luca Gentile, Haidi Abdullah, JĂĄnos TamĂĄs, Zsolt ZoltĂĄn FehĂ©r |
Precision Estimation of Crop Coefficient for Maize Cultivation Using High-Resolution Satellite Imagery to Enhance Evapotranspiration Assessment in Agriculture |
Plants |
10.3390/plants13091212 |
IoT & Sensors |
Uncategorized |
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The estimation of crop evapotranspiration (ETc) is crucial for irrigation water management, especially in arid regions. This can be particularly relevant in the Po Valley (Italy), where arable lands suffer from drought damages on an annual basis, causing drastic crop yield losses. This study presents a novel approach for vegetation-based estimation of crop evapotranspiration (ETc) for maize. Three years of high-resolution multispectral satellite (Sentinel-2)-based Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), Normalized Difference Red Edge Index (NDRE), and Leaf Area Index (LAI) time series data were used to derive crop coefficients of maize in nine plots at the Acqua Campus experimental farm of Irrigation Consortium for the Emilia Romagna Canal (CER), Italy. Since certain vegetation indices (VIs) (such as NDVI) have an exponential nature compared to the other indices, both linear and power regression models were evaluated to estimate the crop coefficient (Kc). In the context of linear regression, the correlations between Food and Agriculture Organization (FAO)-based Kc and NDWI, NDRE, NDVI, and LAI-based Kc were 0.833, 0.870, 0.886, and 0.771, respectively. Strong correlation values in the case of power regression (NDWI: 0.876, NDRE: 0.872, NDVI: 0.888, LAI: 0.746) indicated an alternative approach to provide crop coefficients for the vegetation period. The VI-based ETc values were calculated using reference evapotranspiration (ET0) and VI-based Kc. The weather station data of CER were used to calculate ET0 based on Penman-Monteith estimation. Out of the Vis, NDWI and NDVI-based ETc performed the best both in the cases of linear (NDWI RMSE: 0.43 ± 0.12; NDVI RMSE: 0.43 ± 0.095) and power (NDWI RMSE: 0.44 ± 0.116; NDVI RMSE: 0.44 ± 0.103) approaches. The findings affirm the efficacy of the developed methodology in accurately assessing the evapotranspiration rate. Consequently, it offers a more refined temporal estimation of water requirements for maize cultivation in the region. |
858375 |
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| publications-1893 |
Peer reviewed articles |
2023 |
Bishal Dahal; Tamara AvellĂĄn; Ali Torabi Haghighi; BjĂžrn KlĂžve |
Defining sustainability in agricultural water management using a Delphi survey technique |
Water Policy, Vol 25, Iss 6, Pp 597-621 (2023) |
10.2166/wp.2023.057 |
Data Management & Analytics |
Wastewater Treatment Plants |
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Abstract Sustainable water management measures are being developed to address the challenges posed by agriculture runoff and leaching on water resources. These measures are based on experts' opinions from various sectors and disciplines, ensuring that all stakeholders' perspectives are considered. For this, establishing a common understanding of 'sustainability' is essential to avoid misunderstandings, conflicts, and operational challenges. In this research, the Delphi survey technique was utilized to develop a definition of âsustainabilityâ in agricultural water management (SAWM) by considering the interdisciplinary group of experts from different parts of the world and those involved in a Horizon 2020 Research and Innovation Action. Twenty-six experts' perspectives on environmental, economic, and social dimensions of sustainability were assessed, and identified key concepts included climate change, water quality, water availability, stakeholder participation, capacity building, subsidies, and incentives. These concepts were used to define sustainability for multi/interdisciplinary project settings. The definition was validated with consortium members of the project in the regular consortium-wide meetings and used in the respective deliverables dealing with sustainability. The results serve as a foundation for communication between the involved actors and the project's definition of 'sustainability.' One recommendation from this work for broader policy formulation for SAWM in Europe is to prioritize farmer needs and focus on environmental sustainability. |
858375 |
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| publications-1894 |
Peer reviewed articles |
2023 |
Qi Tang; Hugo Delottier; Wolfgang Kurtz; Lars Nerger; Oliver S. Schilling; Philip Brunner |
HGS-PDAF (version 1.0): A modular data assimilation framework for an integrated surface and subsurface hydrological model |
eISSN: |
10.5194/gmd-2023-229 |
Data Management & Analytics |
Water Distribution Networks |
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Abstract. This article describes a modular ensemble-based data assimilation (DA) system, which is developed for an integrated surface-subsurface hydrological model. The software environment for DA is the Parallel Data Assimilation Framework (PDAF), which provides various assimilation algorithms like the ensemble Kalman filters, nonlinear filters, 3D-Var, and combinations among them. The integrated surface-subsurface hydrological model is HydroGeoSphere (HGS), a physically based modelling software for the simulation of surface and variably saturated subsurface flow, as well as, heat and mass transport. The coupling and capabilities of the modular DA system are described and demonstrated using an idealized model of a geologically heterogeneous alluvial river-aquifer system with drinking water production via riverbank filtration. To demonstrate its modularity and adaptability, both single- and multivariate assimilation of hydraulic head and soil moisture observations are demonstrated in combination with individual and joint updating of multiple simulated states (i.e., hydraulic heads and water saturation) and model parameters (i.e., hydraulic conductivity). The new DA system marks an important step towards achieving operational real-time management of coupled surface water-groundwater systems such as riverbank filtration wellfields based on integrated surface-subsurface hydrological models and data assimilation. |
858375 |
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| publications-1895 |
Peer reviewed articles |
2021 |
Shokoufeh Salimi, Miklas Scholz |
Impact of future climate scenarios on peatland and constructed wetland water quality: A mesocosm experiment within climate chambers |
Journal of Environmental Management |
10.1016/j.jenvman.2021.112459 |
Data Management & Analytics |
Wastewater Treatment Plants |
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No abstract available |
858375 |
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| publications-1896 |
Peer reviewed articles |
2023 |
D.S. Hayes, M.C. Bruno, M. Alp, I. Boavida, R.J. Batalla, M.D. Bejarano, M. Noack, D. Vanzo, R. Casas-Mulet, D. Vericat, M. Carolli, D. Tonolla, J.H. Halleraker, M.-P. Gosselin, G. Chiogna, G. Zolezzi, T.E. Venus |
100 key questions to guide hydropeaking research and policy |
Renewable and Sustainable Energy Reviews |
10.1016/j.rser.2023.113729 |
Simulation & Modeling |
Wastewater Treatment Plants |
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No abstract available |
101022905 |
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| publications-1897 |
Peer reviewed articles |
2024 |
Tobias Siegfried, Aziz Ul Haq Mujahid, Beatrice Marti, Peter Molnar, Dirk Nikolaus Karger, Andrey Yakovlev |
Unveiling the future water pulse of central asia: a comprehensive 21st century hydrological forecast from stochastic water balance modeling |
Climatic Change |
10.1007/s10584-024-03799-y |
IoT & Sensors |
Natural Water Bodies |
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No abstract available |
101022905 |
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| publications-1898 |
Peer reviewed articles |
2020 |
Dr. Markus ReisenbĂŒchlerM.Sc. Bertalan AlapfyProf. Dr. Peter RutschmannDr. Tobias Siegfried |
Hydro4U - Nachhaltige Kleinwasserkraft in Zentralasien |
WASSERWIRTSCHAFT |
10.1007/s35147-021-0932-2 |
Data Management & Analytics |
Wastewater Treatment Plants |
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No abstract available |
101022905 |
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| publications-1899 |
Peer reviewed articles |
2023 |
Beatrice Marti; Andrey Yakovlev; Dirk Nikolaus Karger; Silvan Ragettli; Aidar Zhumabaev; Abdul Wakil Wakil; Tobias Siegfried |
CA-discharge: Geo-Located Discharge Time Series for Mountainous Rivers in Central Asia |
Scientific Data (Sci Data), |
10.1038/s41597-023-02474-8 |
Simulation & Modeling |
Wastewater Treatment Plants |
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AbstractWe present a collection of 295 gauge locations in mountainous Central Asia with norm discharge as well as time series of river discharge from 135 of these locations collected from hydrological yearbooks in Central Asia. Time series have monthly, 10-day and daily temporal resolution and are available for different duration. A collection of third-party data allows basin characterization for all gauges. The time series data is validated using standard quality checks. Norm discharge is validated against literature values and by using a water balance approach. The novelty of the data consists in the combination of discharge time series and gauge locations for mountainous rivers in Central Asia which is not available anywhere else. The geo-located discharge time series can be used for water balance modelling and training of forecast models for river runoff in mountainous Central Asia. |
101022905 |
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| publications-1900 |
Peer reviewed articles |
2023 |
Jan De Keyser; Daniel S. Hayes; Beatrice Marti; Tobias Siegfried; Carina Seliger; Hannah Schwedhelm; Oyture Anarbekov; Zafar Gafurov; Raquel M. LĂłpez FernĂĄndez; Ivan Ramos Diez; Bertalan Alapfy; Justine Carey; Bakhtiyor Karimov; Erkin Karimov; Beatrice Wagner; Helmut Habersack |
Integrating Open-Source Datasets to Analyze the Transboundary WaterâFoodâEnergyâClimate Nexus in Central Asia |
Special Issue Water Management in Central Asia |
10.3390/w15193482 |
Simulation & Modeling |
Water Distribution Networks |
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In todayâs intrinsically connected world, the WaterâFoodâEnergyâClimate Nexus (WFEC Nexus) concept provides a starting point for informed and transparent decision-making based on the trade-offs and synergies between different sectors, including aquatic ecosystems, food security, energy production, and climate neutrality. The WFEC Nexus approach is particularly applicable in regions requiring transboundary water management, such as Central Asia. Unfortunately, this region with unevenly distributed water resourcesâconsisting of Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistanâis characterized by data scarcity, which limits informed decision-making. However, open-source geodata is becoming increasingly available. This paper aims to fill Central Asiaâs WFEC Nexus data gap by providing an overview of key data. We collected geodata through an integrated survey of stakeholders and researchers, stakeholder consultation, and literature screening. Sixty unique datasets were identified, belonging to one of six thematic categories: (1) climate, (2) hydrology, (3) geography and topography, (4) geomorphology, (5) ecology, and (6) anthropogenic uses. For each dataset, a succinct description, including a link to the online source, is provided. We also provide possible applications of using the presented datasets, demonstrating how they can assist in conducting various studies linked to the WFEC Nexus in Central Asia and worldwide. |
101022905 |
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