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Authors: Mirzabeygi, M. Radfard; Takdastan, A.; Advisor: -; Participants: - (2018) - The aim of this study is to assess physical and chemical parameters of drinking water in the rural areas of Lordegan city, also to determine corrosion indices. This cross-sectional study has carried out with 141 taken samples during 2017 with 13 parameters, which has been analyzed based on standard method and to estimate the water quality indices from groundwater using ANFIS. Also with regard to standard conditions, results of this paper are compared with Environmental Protection Agency and Iran national standards. Five indices, Ryznar Stability Index (RSI), Langlier Saturation Index (LSI), Larson-Skold Index (LS), Puckorius Scaling Index (PSI), and Aggressive Index (AI) programmed by using Microsoft Excel software. Parameters included Sulfate, Sodium, Chloride, and Electrical Condu...
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Authors: Yu, C.; Zhang, H.; Advisor: -; Participants: - (2018) - This study investigated if progressive integrative crop management technology in rice (Oryza sativa L.) could improve agronomic and physiological performances, and consequently, increase grain yield, NUE and IWP. A japonica rice cultivar and an indica-japonica hybrid rice cultivar were grown in the field, with five crop managements including an unfertilized 0 N treatment (0 N), local farmer’s practice (LFP), integrative crop management (ICM) 1–3 ((ICM1, ICM2, and ICM3)). The results showed that, when compared to LFP, the ICM could not only increase grain yield, NUE and IWP, but also improve agronomic and physiological performances. Both ICM1 and ICM2 increased economic benefit. The results suggest that the integrative and optimized crop management could achieve the dual goal of incr...
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Authors: Hislop, A.; Advisor: -; Participants: - (2018) - This study examines the utility of eight spectral indices for characterizing fire disturbance and recovery in sclerophyll forests, in order to determine their relative merits in the context of Landsat time-series. Our results show that in the sclerophyll forests of southeast Australia, common indices, such as the Normalized Difference Vegetation Index (NDVI) and the Normalized Burn Ratio (NBR), both accurately capture wildfire disturbance in a pixel-based time-series approach, especially if images from soon after the disturbance are available.
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Authors: Pastori, M.; Udias, A.; Advisor: -; Participants: - (2018) - In this study, sustainable agricultural practices were studied based on optimal allocation of irrigation water use for dominant irrigated crops in the island of Crete, Greece. According to the analysis, depending on the spatial scale and complexity of spatial optimization, water irrigation volumes could be reduced by 32%–70% while preserving current agricultural benefit. Specific management strategies also looked at ways to relocate water between administrative regions (4 prefectures in the case of Crete) to optimize crop benefit while reducing global water use. It was estimated that an optimal reallocation of water could reduce irrigation water volumes by 52% (148 Mm3/y) at the cost of a 7% (48 M€) loss of agricultural income, but maintaining the current agricultural benefit (626.9...
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Authors: Moreno-Mesonero, L.; Moreno, Y.; Advisor: -; Participants: - (2018) - In this study, we evaluated a NGS-based method as a detection approach to identify simultaneously most important WPPs using 18S rRNA high-throughput sequencing. A set of primers to target the V4 18S rRNA region of WPPs such as Cryptosporidium spp., Giardia sp., Blastocystis sp., Entamoeba spp, Toxoplasma sp. and free-living amoebae (FLA) was designed. In order to optimize PCR conditions before sequencing, both a mock community with a defined composition of representative WPPs and a real water sample inoculated with specific WPPs DNA were prepared. Using the method proposed in this study, we have detected the presence of Giardia intestinalis, Acanthamoeba castellanii, Toxoplasma gondii, Entamoeba histolytica and Blastocystis sp. at species level in real irrigation water samples. Our ...
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Authors: Stein, A.; Zoest, V.M.V; Advisor: -; Participants: - (2018) - We present a novel outlier detection method based upon a spatio-temporal classification, focusing on hourly NO2 concentrations. We divide a full year’s observations into 16 spatio-temporal classes, reflecting urban background vs. urban traffic stations, weekdays vs. weekends, and four periods per day. For each spatio-temporal class, we detect outliers using the mean and standard deviation of the normal distribution underlying the truncated normal distribution of the NO2 observations. Additional evaluation using expert knowledge is needed to decide on treatment of the identified outliers. We conclude that our method is able to detect outliers while maintaining the spatio-temporal variability of air pollutant concentrations in urban areas.
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Authors: Tumlisan, G.; Advisor: -; Participants: - (2018) - The authors of this article tested the usability of UAS RGB images for estimating crop heights and biomass. The assessment was done at eight growth stages to provide timely and reliable spatial information. Studying growth of crops throughout the growing season is a prerequisite for informed farming, decision-making and estimating yield production. Field-based data acquisition is able to give accurate results but is costly and time-consuming which can lead to under-sampling and thus compromise accuracy. Added to this, data acquisition in the field causes damage to the vegetation due to trampling. Therefore, non-destructive methods of measuring changes in crop height over time at high spatial and temporal resolution are essential.
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Authors: Liu, J.; Liu, W.; Advisor: -; Participants: - (2018) - Here we performed a global-scale assessment of impacts of international food trade on blue water use, total water use, and nitrogen (N) inputs and on N losses in maize, rice, and wheat production. Results show that food exports generally occurred from regions with lower water and N use intensities, defined here as water and N uses in relation to crop yields, to regions with higher resources use intensities. The study provides useful information to understand the implications of agricultural intensification for international crop trade, crop water use and N pollution patterns in the world.
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Authors: Drakou, E.G.; Dimopoulos, P.; Advisor: -; Participants: - (2018) - This paper presents the establishment and the first outcomes of the Hellenic Ecosystem Services Partnership (HESP), a scientific-technical committee aiming at the guidance and coordination of the Ecosystem Services (ES) assessment in Greece. In this paper, we present the first drafting of the National Agenda including short- and long-term objectives towards the national implementation of MAES, we outline the HESP Action Plan to 2020, as well as the timeline of the basic steps to be taken, to achieve decision making on the basis of ES maintenance and enhancement. It will also serve as a call for action to encourage more ES assessments at the national level, but also as a primer for the inclusion of protected areas and other areas of special importance for ES assessments at the EU lev...
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Authors: Bakker, H.; Altena, V.V; Advisor: -; Participants: - (2018) - This article explores, via three case studies, how spatio-temporal analysis can advance New Testament text interpretation. Case study 1 applies network analysis to data representing the Roman road network constrained by parameters valid for ancient times. Case study 2 located geographical entities from the text in a cartographic visualization and provided supportive information to compare contemporary textual resources. For the disciplines of textual and conjectural criticism (case study 3), spatio-temporal analysis opens a new window to study what would be the most probable variant of the original text.
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