| publications-1881 |
Peer reviewed articles |
2022 |
Andrea SzabĂł, Csaba JuhĂĄsz, Bernadett GĂĄlya FarkasnĂ©, ĂdĂĄm Kövesdi, JĂĄnos TamĂĄs, Attila Nagy |
Combined traffic control of irrigation on heterogeneous field |
ACTA AGRARIA DEBRECENIENSIS |
10.34101/actaagrar/1/10369 |
Data Management & Analytics |
Natural Water Bodies |
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In arid areas, such as Hungary, most climate models forecast a rise in water scarcity. Irrigated land accounts for 2% of agricultural land in Hungary, with most irrigation technology being relatively outdated. The aim of this research was to lay the foundation for a combined traffic management system for a water-saving precision irrigation system on an 85-ha field in the Tisza River basin's reference region. High-precision soil maps were created to support the water-efficient variable-rate irrigation system by selecting and selecting areas for different agrotechnical implementations and precision farming zones. |
858375 |
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| publications-1882 |
Peer reviewed articles |
2021 |
Giuseppe Mancuso, Grazia Federica Bencresciuto, Stevo LavrniÄ, Attilio Toscano |
Diffuse Water Pollution from Agriculture: A Review of Nature-Based Solutions for Nitrogen Removal and Recovery |
Water |
10.3390/w13141893 |
Data Management & Analytics |
Natural Water Bodies |
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The implementation of nature-based solutions (NBSs) can be a suitable and sustainable approach to coping with environmental issues related to diffuse water pollution from agriculture. NBSs exploit natural mitigation processes that can promote the removal of different contaminants from agricultural wastewater, and they can also enable the recovery of otherwise lost resources (i.e., nutrients). Among these, nitrogen impacts different ecosystems, resulting in serious environmental and human health issues. Recent research activities have investigated the capability of NBS to remove nitrogen from polluted water. However, the regulating mechanisms for nitrogen removal can be complex, since a wide range of decontamination pathways, such as plant uptake, microbial degradation, substrate adsorption and filtration, precipitation, sedimentation, and volatilization, can be involved. Investigating these processes is beneficial for the enhancement of the performance of NBSs. The present study provides a comprehensive review of factors that can influence nitrogen removal in different types of NBSs, and the possible strategies for nitrogen recovery that have been reported in the literature. |
858375 |
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| publications-1883 |
Peer reviewed articles |
2021 |
Shokoufeh Salimi, Suhad A.A.A.N. Almuktar, Miklas Scholz |
Impact of climate change on wetland ecosystems: A critical review of experimental wetlands |
Journal of Environmental Management |
10.1016/j.jenvman.2021.112160 |
Data Management & Analytics |
Water Distribution Networks |
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No abstract available |
858375 |
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| publications-1884 |
Peer reviewed articles |
2023 |
Nikolett Ăva Kiss, JĂĄnos TamĂĄs, Viktoria Mannheim, Attila Nagy |
Comparing the environmental impact of poultry manure and chemical fertilizers |
Frontiers in Built Environment |
10.3389/fbuil.2023.1237476 |
Data Management & Analytics |
Water Distribution Networks |
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One of the challenges in livestock production is the significant volume of manure generated, which must be appropriately managed to mitigate its environmental impacts. Untreated manure poses a potential hazard to soil, surface water, groundwater, and human and animal health. Based on the life cycle assessment (LCA) method, the research aims to evaluate the ecological load of composted-pelletized poultry litter (CPPL) in maize and winter wheat production. Furthermore, the environmental loads of CPPL applications are compared with those of other N, P, and K fertilizers. The research study utilized the openLCA software with the Agribalyse 3.1 database to calculate eleven impact categories. In the case of maize, only ozone depletion has higher emissions. For winter wheat production, scenarios where the P fertilizer was MAP had lower impacts for NPK combinations. While for the CPPL, fuel was the main contributor to loads, for the NPK fertilizer scenarios, energy use for fertilizer production contributed more. The results can be relevant to the burdens of using different nutrient replacement products and creating diverse feed mixtures. The application of CPPL promises to reduce the burden of crop production and, consequently, feed production. Additionally, it allows for the recovery of manure not useable by the livestock industry. |
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| publications-1885 |
Peer reviewed articles |
2023 |
Xi Nan; Stevo LavrniÄ; Giuseppe Mancuso; Attilio Toscano |
Effects of Design and Operational Conditions on the Performance of Constructed Wetlands for Agricultural Pollution Control â Critical Review |
Water, Air, & Soil Pollution |
10.1007/s11270-023-06380-y |
Data Management & Analytics |
Wastewater Treatment Plants |
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AbstractConstructed wetlands (CWs) can be considered as an efficient nature-based solution for the treatment of agricultural drainage water (ADW) and consequently for the mitigation of non-point source pollution. Aiming to provide suggestions for the construction and implementation of CWs, this paper proposes and discusses key parameters of CW design and operation. In order to verify the effect of these features, different case studies were reviewed, focusing on the performance of CWs that are treating agricultural drainage water. The findings showed that design and operational factors (e.g., the application of simple hydraulic structures and vegetation establishment) can improve pollutant removal efficiencies by increasing hydraulic retention time. Hydraulic efficiency of CWs can also be enhanced through certain shape characteristics (e.g., adoption of a high aspect ratio and creation of a long and narrow CW shape). The careful consideration of these parameters before and during CW implementation can therefore help these systems to achieve their full potential. However, further study is recommended to assess the effects of some parameters (e.g., flow direction and the application of deep zones). |
858375 |
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| publications-1886 |
Peer reviewed articles |
2022 |
Hop Q.T., Z.Z. Fehér |
Water balance calculation capability of Hydrological models - An overview |
Acta Agraria Kaposvariensis |
10.31914/aak.2877 |
Data Management & Analytics |
Wastewater Treatment Plants |
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Currently, in the world, there are many different hydrological models built and developed to solve problems related to the hydrological cycle. Each model has its specific mathematical foundations to describe physical processes in nature. Therefore, each model has its various characteristics: setting up the model, input data requirements, model calibration and verification, and output results. Water balance is still playing an important role in the effective management and use of water resources for agriculture. Based on the results of the hydrological parameterâs calculation, the water balance of the study basin can be calculated by the user or by the separated module of each model. Each hydrological models have its advantages and disadvantages. However, it is impossible to simulate hydrological processes and water balance completely accurately in nature. Still, simulation results can give us a view of the changing trend of hydrological components and the water balance. Model developers are gradually completing the shortcomings and improving the efficiency and accuracy so that the model can simulate reality with the highest accuracy. This paper sets out to review the fifteen hydrological models currently widely used in the world. Within the frame of the present study, some models are only briefly introduced; the rest are considered in more detail, from more aspects, from specific examples so that readers can decide for themselves which model is suitable for their study area and simulation needs, especially in the identity of the complex and unpredictable impacts of climate change on the agricultural sector. |
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| publications-1887 |
Peer reviewed articles |
2021 |
Meseret Walle Menberu, Hannu Marttila, AnnaâKaisa Ronkanen, Ali Torabi Haghighi, BjĂžrn KlĂžve |
Hydraulic and Physical Properties of Managed and Intact Peatlands: Application of the Van GenuchtenâMualem Models to Peat Soils |
Water Resources Research |
10.1029/2020wr028624 |
Simulation & Modeling |
Wastewater Treatment Plants |
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AbstractUndisturbed peatlands are effective carbon sinks and provide a variety of ecosystem services. However, anthropogenic disturbances, especially land drainage, strongly alter peat soil properties and jeopardize the benefits of peatlands. The effects of disturbances should therefore be assessed and predicted. To support accurate modeling, this study determined the physical and hydraulic properties of intact and disturbed peat samples collected from 59 sites (in total 3,073 samples) in Finland and Norway. The bulk density (BD), porosity, and specific yield (Sy) values obtained indicated that the top layer (0â30 cm depth) at agricultural and peat extraction sites was most affected by land use change. The BD in the top layer at agricultural, peat extraction, and forestry sites was 441%, 140%, and 92% higher, respectively, than that of intact peatlands. Porosity decreased with increased BD, but not linearly. Agricultural and peat extraction sites had the lowest saturated hydraulic conductivity, Sy, and porosity, and the highest BD of the land use options studied. The van GenuchtenâMualem (vGM) soil water retention curve (SWRC) and hydraulic conductivity (K) models proved to be applicable for the peat soils tested, providing values of SWRC, K, and vGMâparameters (α and n) for peat layers (top, middle and bottom) under different land uses. A decrease in peat soil water content of â„10% reduced the unsaturated K values by two orders of magnitude. This unique data set can be used to improve hydrological modeling in peatâdominated catchments and for fuller integration of peat soils into largeâscale hydrological models. |
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| publications-1888 |
Peer reviewed articles |
2022 |
Mayur Kishor Shende; Sinan Q. Salih; Neeraj Dhanraj Bokde; Miklas Scholz; Atheer Y. Oudah; Zaher Mundher Yaseen |
Natural Time Series Parameters Forecasting: Validation of the Pattern-Sequence-Based Forecasting (PSF) Algorithm; A New Python Package |
Shende , M K , Salih , S Q , Bokde , N D , Scholz , M , Oudah , A Y & Yaseen , Z M 2022 , ' Natural Time Series Parameters Forecasting : Validation of the Pattern-Sequence-Based Forecasting (PSF) Algorithm; A New Python Package ' , Applied Sciences (Switzerland) , vol. 12 , no. 12 , 6194 . https://doi.org/10.3390/app12126194 |
10.3390/app12126194 |
Data Management & Analytics |
Wastewater Treatment Plants |
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Climate change has contributed substantially to the weather and land characteristic phenomena. Accurate time series forecasting for climate and land parameters is highly essential in the modern era for climatologists. This paper provides a brief introduction to the algorithm and its implementation in Python. The pattern-sequence-based forecasting (PSF) algorithm aims to forecast future values of a univariate time series. The algorithm is divided into two major processes: the clustering of data and prediction. The clustering part includes the selection of an optimum value for the number of clusters and labeling the time series data. The prediction part consists of the selection of a window size and the prediction of future values with reference to past patterns. The package aims to ease the use and implementation of PSF for python users. It provides results similar to the PSF package available in R. Finally, the results of the proposed Python package are compared with results of the PSF and ARIMA methods in R. One of the issues with PSF is that the performance of forecasting result degrades if the time series has positive or negative trends. To overcome this problem difference pattern-sequence-based forecasting (DPSF) was proposed. The Python package also implements the DPSF method. In this method, the time series data are first differenced. Then, the PSF algorithm is applied to this differenced time series. Finally, the original and predicted values are restored by applying the reverse method of the differencing process. The proposed methodology is tested on several complex climate and land processes and its potential is evidenced. |
858375 |
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| publications-1889 |
Peer reviewed articles |
2022 |
Alba Canet-MartĂ; Sabrina GrĂŒner; Stevo LavrniÄ; Attilio Toscano; Thilo Streck; Guenter Langergraber |
Comparison of simple models for total nitrogen removal from agricultural runoff in FWS wetlands |
Water Science & Technology |
10.2166/wst.2022.179 |
Simulation & Modeling |
Water Distribution Networks |
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Abstract Free water surface (FWS) wetlands can be used to treat agricultural runoff, thereby reducing diffuse pollution. However, as these are highly dynamic systems, their design is still challenging. Complex models tend to require detailed information for calibration, which can only be obtained when the wetland is constructed. Hence simplified models are widely used for FWS wetlands design. The limitations of these models in full-scale FWS wetlands is that these systems often cope with stochastic events with different input concentrations. In our study, we compared different simple transport and degradation models for total nitrogen under steady- and unsteady-state conditions using information collected from a tracer experiment and data from two precipitation events from a full-scale FWS wetland. The tanks-in-series model proved to be robust for simulating solute transport, and the first-order degradation model with non-zero background concentration performed best for total nitrogen concentrations. However, the optimal background concentration changed from event to event. Thus, to use the model as a design tool, it is advisable to include an upper and lower background concentration to determine a range of wetland performance under different events. Models under steady- and unsteady-state conditions with simulated data showed good performance, demonstrating their potential for wetland design. |
858375 |
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| publications-1890 |
Peer reviewed articles |
2021 |
Almuktar, SAAAN; Abed, SN; Scholz, M; Uzomah, VC |
Assessment of Capsicum annuum L. Grown in Controlled and Semi-Controlled Environments Irrigated with Greywater Treated by Floating Wetland Systems |
Agronomy, Vol 11, Iss 1817, p 1817 (2021) |
10.3390/agronomy11091817 |
Simulation & Modeling |
Wastewater Treatment Plants |
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Accumulation of trace elements, including heavy metals, were evaluated in soil and fruits of chilli plants (Capsicum annuum L.) grown under both laboratory-controlled and semi-controlled greenhouse location conditions. Chilli plant biomass growth in different development stages and fruit productivity were evaluated and compared with each other for the impact of growth boundary conditions and water quality effects. Treated synthetic greywaters by different operational design set-ups of floating treatment wetland systems were recycled for watering chillies in both locations. Effluents of each individual group of treatment set-up systems were labelled to feed sets of three replicates of chilli plants in both locations. Results revealed that the treated synthetic greywater (SGW) complied with thresholds for irrigation water, except for high concentrations (HC) of phosphates, total suspended soils, and some trace elements, such as cadmium. Chilli plants grew in both locations with different growth patterns in each development stage. First blooming and high counts of flowers were observed in the laboratory. Higher fruit production was noted for greenhouse plants: 2266 chilli fruits with a total weight of 16.824 kg with an expected market value of GBP 176.22 compared to 858 chilli fruits from the laboratory with a weight of 3.869 kg and an estimated price of GBP 17.61. However, trace element concentrations were detected in chilli fruits with the ranking order of occurrence as: Mg > Ca > Na > Fe > Zn > Al > Mn > Cu > Cd > Cr > Ni > B. The highest concentrations of accumulated Cd (3.82 mg/kg), Cu (0.56 mg/kg), and Na (0.56 mg/kg) were recorded in chilli fruits from the laboratory, while greater accumulations of Ca, Cd, Cu, Mn, and Ni with concentrations of 4.73, 1.30, 0.20, 0.21, and 0.24 mg/kg, respectively, were linked to fruits from the greenhouse. Trace elements in chilli plant soils followed the trend: Mg > Fe > Al > Cr > Mn > Cd > Cu > B. The accumulated concentrations in either chilli fruits or the soil were above the maximum permissible thresholds, indicating the need for water quality improvements. |
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