Soil and Water Resources Institute

Síndos, Greece

Soil and Water Resources Institute

Síndos, Greece
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Kalivas A.,Institute of Plant Breeding and Genetic Resources ELGO DEMETER ex NAGREF | Ganopoulos I.,Institute of Plant Breeding and Genetic Resources ELGO DEMETER ex NAGREF | Psomopoulos F.,Institute of Applied Biosciences | Grigoriadis I.,Institute of Plant Breeding and Genetic Resources ELGO DEMETER ex NAGREF | And 6 more authors.
Genomics Data | Year: 2017

Nutrients in the form of fertilizers and/or other additives such as amino acids, dramatically influence plant development and growth, plant nutrient composition and the level of soil pollution. Moreover, the treatment of soil microbiota is emerging as a new strategy in plant breeding to achieve desirable traits. Thus, integrated study of fertilizer application and soil microbiota might lead to a better understanding of soil-plant interactions and inform the design of novel ways to fertilize plants. Herein we report metagenomics data for soil microbiota in lettuce (Lactuca sativa) treated with fertilizer, amino acids or their combinations as follows: N-fertilizer + Amino16®, Amino16®, N-fertilizer and no treatment control. Data have been deposited in the NCBI Sequence Read Archive (SRA) (accession number: PRJNA388765). © 2017


Barzegar R.,University of Tabriz | Fijani E.,University of Tehran | Asghari Moghaddam A.,University of Tabriz | Tziritis E.,Soil and Water Resources Institute
Science of the Total Environment | Year: 2017

Accurate prediction of groundwater level (GWL) fluctuations can play an important role in water resources management. The aims of the research are to evaluate the performance of different hybrid wavelet-group method of data handling (WA-GMDH) and wavelet-extreme learning machine (WA-ELM) models and to combine different wavelet based models for forecasting the GWL for one, two and three months step-ahead in the Maragheh–Bonab plain, NW Iran, as a case study. The research used totally 367 monthly GWLs (m) datasets (Sep 1985–Mar 2016) which were split into two subsets; the first 312 datasets (85% of total) were used for model development (training) and the remaining 55 ones (15% of total) for model evaluation (testing). The stepwise selection was used to select appropriate lag times as the inputs of the proposed models. The performance criteria such as coefficient of determination (R2), root mean square error (RMSE) and Nash-Sutcliffe efficiency coefficient (NSC) were used for assessing the efficiency of the models. The results indicated that the ELM models outperformed GMDH models. To construct the hybrid wavelet based models, the inputs and outputs were decomposed into sub-time series employing different maximal overlap discrete wavelet transform (MODWT) functions, namely Daubechies, Symlet, Haar and Dmeyer of different orders at level two. Subsequently, these sub-time series were served in the GMDH and ELM models as an input dataset to forecast the multi-step-ahead GWL. The wavelet based models improved the performances of GMDH and ELM models for multi-step-ahead GWL forecasting. To combine the advantages of different wavelets, a least squares boosting (LSBoost) algorithm was applied. The use of the boosting multi-WA-neural network models provided the best performances for GWL forecasts in comparison with single WA-neural network-based models. © 2017 Elsevier B.V.


Barzegar R.,University of Tabriz | Moghaddam A.A.,University of Tabriz | Tziritis E.,Soil and Water Resources Institute | Fakhri M.S.,University of Tabriz | Soltani S.,University of Tabriz
Environmental Earth Sciences | Year: 2017

The main aims of the present study are to identify the major factors affecting hydrogeochemistry of groundwater resources in the Marand plain, NW Iran and to evaluate the potential sources of major and trace elements using multivariate statistical analysis such as hierarchical clustering analysis (HCA) and factor analysis (FA). To achieve these goals, groundwater samples were collected in three sampling periods in September 2013, May 2014 and September 2014 and analyzed with regard to ions (e.g., Ca2+, Mg2+, Na+ and K+, HCO3 −, SO4 2−, Cl−, F− and NO3 −) and trace metals (e.g., Cr, Pb, Cd, Mn, Fe, Al and As). The piper diagrams show that the majority of samples belong to Na–Cl water type and are followed by Ca–HCO3 and mixed Ca–Na–HCO3. Cross-plots show that weathering and dissolution of different rocks and minerals, ion exchange, reverse ion exchange and anthropogenic activities, especially agricultural activities, influence the hydrogeochemistry of the study area. The results of the FA demonstrate that 6 factors with 81.7% of total variance are effective in the overall hydrogeochemistry, which are attributed to geogenic and anthropogenic impacts. The HCA categorizes the samples into two clusters. Samples of cluster C1, which appear to have higher values of some trace metals like Pb and As, are spatially located at the eastern and central parts of the plain, while samples of cluster C2, which express the salinization of the groundwater, are situated mainly westward with few local exceptions. © 2017, Springer-Verlag Berlin Heidelberg.


Dalampakis P.,Soil and Water Resources Institute | Gelegenis J.,Technological Educational Institute of Athens | Ilias A.,Soil and Water Resources Institute | Ladas A.,Frigoland | Kolios P.,Geothermiki Hellas Ltd
Applied Energy | Year: 2017

The application of soil heating can securely transfer the harvest procedure of cultivated plantations to the early or very early season, maximizing in this way the marketable yield and added value. Extended experimentations with geothermal soil heating were elaborated under real operating field conditions based on the running harvest practices and asparagus rows protection techniques. Production and energy data have been collected and processed systematically during the harvest seasons 2002–2007 for direct use of geothermal waters in Neo Erasmio-Xanthi and for the seasons 2006–2016 for low grade shallow energy (heat pumps) applications in Chrysoupoli-Kavala, both in Northern Greece. The application of maximum heating loads in the order of 100–110 kW/ha along with maximum entering water temperatures at 35 °C has been demonstrated as the most cost effective energy option for off season harvest onset. The main objectives of the present comparative approach are (i) the conclusion on a suitable geothermal soil heating scheme for asparagus cultivation and (ii) the quantification and financial evaluation of soil heating impact on asparagus precocity and total yield at commercial scale. The performed analysis gives prominence to low enthalpy and shallow low grade geothermal energy as efficient, valuable and cost effective energy tools in soil heating. © 2017 Elsevier Ltd


Soltani S.,University of Tabriz | Asghari Moghaddam A.,University of Tabriz | Barzegar R.,University of Tabriz | Kazemian N.,East Azerbaijan Province Water and Waste Water Company | Tziritis E.,Soil and Water Resources Institute
Environmental Monitoring and Assessment | Year: 2017

Kordkandi-Duzduzan plain is one of the fertile plains of East Azarbaijan Province, NW of Iran. Groundwater is an important resource for drinking and agricultural purposes due to the lack of surface water resources in the region. The main objectives of the present study are to identify the hydrogeochemical processes and the potential sources of major, minor, and trace metals and metalloids such as Cr, Mn, Cd, Fe, Al, and As by using joint hydrogeochemical techniques and multivariate statistical analysis and to evaluate groundwater quality deterioration with the use of PoS environmental index. To achieve these objectives, 23 groundwater samples were collected in September 2015. Piper diagram shows that the mixed Ca–Mg–Cl is the dominant groundwater type, and some of the samples have Ca–HCO3, Ca–Cl, and Na–Cl types. Multivariate statistical analyses indicate that weathering and dissolution of different rocks and minerals, e.g., silicates, gypsum, and halite, ion exchange, and agricultural activities influence the hydrogeochemistry of the study area. The cluster analysis divides the samples into two distinct clusters which are completely different in EC (and its dependent variables such as Na+, K+, Ca2+, Mg2+, SO4 2−, and Cl−), Cd, and Cr variables according to the ANOVA statistical test. Based on the median values, the concentrations of pH, NO3 −, SiO2, and As in cluster 1 are elevated compared with those of cluster 2, while their maximum values occur in cluster 2. According to the PoS index, the dominant parameter that controls quality deterioration is As, with 60% of contribution. Samples of lowest PoS values are located in the southern and northern parts (recharge area) while samples of the highest values are located in the discharge area and the eastern part. © 2017, Springer International Publishing AG.


Voutsis N.,National and Kapodistrian University of Athens | Kelepertzis E.,National and Kapodistrian University of Athens | Tziritis E.,Soil and Water Resources Institute | Kelepertsis A.,National and Kapodistrian University of Athens
Journal of Geochemical Exploration | Year: 2015

Major ion and selected trace element compositions were analyzed in 102 groundwater samples from central and northern areas of Euboea Island, Greece, where both serpentinite dissolution and anthropogenic activities (agricultural) are in action. By integrating hydrogeochemical and two multivariate statistical methods, hierarchical cluster analysis (HCA) and principal component analysis (PCA), the chemistry of these groundwaters was assessed with the aim to understand the evolution of groundwater and assign the major processes that exert control on its composition. HCA classified the groundwater samples into three chemically distinct groups (C1-C3) according to their dominant chemical composition. These three clusters were further categorized by their electrical conductivity values: C1 (median EC: 480μS/cm), C2 (median EC: 608μS/cm), C3 (median EC: 1020μS/cm). PCA was performed to identify the underlying natural and anthropogenic processes affecting the chemistry of these groundwaters. The PCA results can be represented by two principal factors: (1) salinization by seawater intrusion and NO3 - contamination; and (2) enrichment of groundwater with Mg2+, HCO3 - and Cr following groundwater-serpentinite interaction. A third trivial component is associated with more local effects of the geological substrate. The three components of the PCA account for 70% of the total variance in the data. Dissolved Cr concentrations (up to 71μg/L) that rise environmental concerns are more pronounced in the groundwaters from the alluvial coastal area of Politika (C3 water samples). Results of this study demonstrate that appropriate measures should be taken to protect the vital groundwater resources in the alluvial coastal area including the regulation of the amount of chemical fertilizers applied to agricultural soils and the monitoring of groundwater pumping rates. © 2015 Elsevier B.V.


Tziritis E.,Soil and Water Resources Institute | Skordas K.,University of Thessaly | Kelepertsis A.,National and Kapodistrian University of Athens
Environmental Earth Sciences | Year: 2016

The present study investigates the hydrogeochemical regime of a complex aquifer system in a highly cultivated area of Thessaly, central Greece. To do so, totally forty (40) groundwater samples were collected for three aquifer units with diverse geological and hydrogeological attributes and analyzed for 77 parameters. Data processing was accomplished with the joint use of classic hydrogeochemical techniques including major ion molar ratios and graphical interpretation, as well as multivariate statistical methods including R-mode factor (FA) and hierarchical cluster analysis (HCA). Results showed that major ion hydrogeochemistry is characterized by the prevalence of calcium (median = 81 mg/L) and bicarbonates (median = 308 mg/L) in the following descending order of concentrations for cations Ca2+>Mg2+>Na+>K+ and anions HCO3 −>NO3 −>SO4 2−>Cl−, respectively. Nitrate values are elevated (median = 23 mg/L), especially in the porous quaternary aquifer, indicating the ongoing agricultural impact from the excessive use of nitrogen fertilizers and manure. The results of multivariate statistics highlighted four factors that chiefly control 81.4 % of overall hydrogeochemistry, related with both geogenic and anthropogenic impacts. The geogenic impact is mainly attributed to the geological substrate and secondarily to the ongoing geochemical (redox) conditions which in turn enrich or deplete groundwater solution with different ions; anthropogenic impact is mainly related with the extensive agricultural practices which favor nitrate enrichment and salinization due to irrigation water return flow. © 2016, Springer-Verlag Berlin Heidelberg.


Tziritis E.,Soil and Water Resources Institute | Tziritis E.,Aristotle University of Thessaloniki | Tzamos E.,Aristotle University of Thessaloniki | Vogiatzis P.,Aristotle University of Thessaloniki | And 5 more authors.
Desalination and Water Treatment | Year: 2015

Twenty-seven (27) tap water samples were collected during October 2012 from the supply network of Thermi Municipality (central Macedonia, northern Greece) in order to assess their hydrogeochemical signatures and the overall quality status according to the European legislation and international standards. Samples were analysed for a total of 25 environmentally significant parameters including physicochemical properties (pH, EC, colour, turbidity and hardness), major and minor ions (Ca2+, Mg2+, (Formula presented.), (Formula presented.), (Formula presented.), Cl−, (Formula presented.), F−, and CN−) and trace elements (B, Sb, As, Cd, Cr, Cu, Pb, Hg, Ni, Se, and Mn). The vast majority of the parameters appeared in values below the maximum admissible concentration for potable waters. Individual elevated concentrations of B and (Formula presented.) may be attributed to natural (geogenic) factors related with local lithology and anthropogenic influences possibly deriving from agricultural practices (excessive use of N-fertilizers). The assessments of the analytical results were validated with the use of PoS index, which classified nearly all samples of low to medium quality degradation and outlined the dominant triggering parameters affecting the hydrogeochemical status. These parameters included, apart from ammonium and boron, chromium, fluoride and nitrates. PoS index proved to be a versatile tool to communicate environmental information of groundwater quality characteristics, especially in environmental monitoring projects, since it abets to understand the overall evaluation of water quality. In addition, PoS application offers a valuable alternative for on-the-spot comprehensive and comparative analysis of all available water quality data, and may be used as a screening tool for environmental assessment applications. © 2015 Balaban Desalination Publications. All rights reserved.

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