Search results for "Environmental Biotechnology"

showing 10 items of 568 documents

Hydrological post-processing based on approximate Bayesian computation (ABC)

2019

[EN] This study introduces a method to quantify the conditional predictive uncertainty in hydrological post-processing contexts when it is cumbersome to calculate the likelihood (intractable likelihood). Sometimes, it can be difficult to calculate the likelihood itself in hydrological modelling, specially working with complex models or with ungauged catchments. Therefore, we propose the ABC post-processor that exchanges the requirement of calculating the likelihood function by the use of some sufficient summary statistics and synthetic datasets. The aim is to show that the conditional predictive distribution is qualitatively similar produced by the exact predictive (MCMC post-processor) or …

Mathematical optimizationINGENIERIA HIDRAULICAEnvironmental Engineering010504 meteorology & atmospheric sciencesComputer scienceHydrological modelling0208 environmental biotechnologyComputational intelligence02 engineering and technologySummary statistic01 natural sciencesFree-likelihood approachsymbols.namesakeHydrological forecastingEnvironmental ChemistryProbabilistic modellingSafety Risk Reliability and QualityUncertainty analysis0105 earth and related environmental sciencesGeneral Environmental ScienceWater Science and TechnologyProbabilistic modellingMarkov chain Monte Carlo020801 environmental engineeringBenchmark (computing)symbolsUncertainty analysisApproximate Bayesian computationSummary statisticsLikelihood functionSettore SECS-S/01 - Statistica
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Hydropower Optimization Using Deep Learning

2019

This paper demonstrates how deep learning can be used to find optimal reservoir operating policies in hydropower river systems. The method that we propose is based on the implicit stochastic optimization (ISO) framework, using direct policy search methods combined with deep neural networks (DNN). The findings from a real-world two-reservoir hydropower system in southern Norway suggest that DNNs can learn how to map input (price, inflow, starting reservoir levels) to the optimal production pattern directly. Due to the speed of evaluating the DNN, this approach is from an operational standpoint computationally inexpensive and may potentially address the long-standing problem of high dimension…

Mathematical optimizationMarkov chainArtificial neural networkbusiness.industryComputer science020209 energyDeep learning0208 environmental biotechnologyScheduling (production processes)02 engineering and technologyInflow020801 environmental engineering0202 electrical engineering electronic engineering information engineeringProduction (economics)Stochastic optimizationArtificial intelligencebusinessHydropower
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Predicting sediment deposition rate in check-dams using machine learning techniques and high-resolution DEMs

2021

Sediments accumulated in check dams are a valuable measure to estimate soil erosion rates. Here, geographic information systems (GIS) and three machine learning techniques (MARS-multivariate adaptive regression splines, RF-random forest and SVM-support vector machine) were used, for the first time, to predict sediment deposition rate (SR) in check-dams located in six watersheds in SW Spain. There, 160 dry-stone check dams (~ 77.8 check-dams km−2), accumulated sediments during a period that varied from 11 to 23 years. The SR was estimated in former research using a topographical method and a high-resolution Digital Elevation Model (DEM) (average of 0.14 m3 ha−1 year−1). Nine environmental-to…

Mean squared error0208 environmental biotechnologyMean absolute errorSoil ScienceHigh resolution02 engineering and technology010501 environmental sciencesMachine learningcomputer.software_genre01 natural sciencesEnvironmental ChemistryDigital elevation model0105 earth and related environmental sciencesEarth-Surface ProcessesWater Science and TechnologyGlobal and Planetary ChangeMultivariate adaptive regression splinesbusiness.industryGeologyMars Exploration ProgramPollution020801 environmental engineeringCheck dam Machine learning techniques Sediment deposition rate (SR) Structure-from-motion (SfM) Unmanned aerial vehicle (UAV)Support vector machineArtificial intelligencebusinesscomputerCheck dam
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Reliability of rainfall kinetic power-intensity relationships

2017

The rainfall erosivity plays a fundamental role in water soil erosion processes and it can be expressed by its kinetic power. At first in this paper the raindrop size distributions measured, in the period June 2006- March 2014, by an optical disdrometer installed at the Department of Agricultural and Forestry Sciences of University of Palermo are aggregated into rainfall intensity classes, having different ranges, and the measured kinetic power values are determined. Measured kinetic power values are initially used for testing the applicability of the kinetic power-rainfall intensity relationships proposed by Wischmeier and Smith (1978), used in Universal Soil Loss Equation (USLE), Brown an…

Median volume diameterMeteorology0208 environmental biotechnologyrainfall intensityrainfall kinetic power02 engineering and technologyKinetic energyAtmospheric sciences020801 environmental engineeringIntensity (physics)Power (physics)Universal Soil Loss EquationDisdrometerrainfall erosivityEnvironmental sciencePower intensityReliability (statistics)Water Science and TechnologyHydrological Processes
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Multiple imputation of rainfall missing data in the Iberian Mediterranean context

2017

Abstract Given the increasing need for complete rainfall data networks, in recent years have been proposed diverse methods for filling gaps in observed precipitation series, progressively more advanced that traditional approaches to overcome the problem. The present study has consisted in validate 10 methods (6 linear, 2 non-linear and 2 hybrid) that allow multiple imputation, i.e., fill at the same time missing data of multiple incomplete series in a dense network of neighboring stations. These were applied for daily and monthly rainfall in two sectors in the Jucar River Basin Authority (east Iberian Peninsula), which is characterized by a high spatial irregularity and difficulty of rainfa…

Mediterranean climateAtmospheric Science010504 meteorology & atmospheric sciencesSeries (mathematics)Computer science0208 environmental biotechnologyContext (language use)02 engineering and technologycomputer.software_genreMissing dataHybrid approach01 natural sciencesLinear methods020801 environmental engineeringExpectation–maximization algorithmStatisticsData miningPrecipitationcomputer0105 earth and related environmental sciencesAtmospheric Research
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Future Projection of precipitation changes in the Júcar and Segura River Basins (Iberian Peninsula) by CMIP5 GCMs Local Downscaling

2021

The basins of the Júcar and Segura rivers, on the Mediterranean coast of the Iberian Peninsula, present a special water problem and are of particular interest regarding climate change. These basins are very vulnerable to a possible scenario of decreasing water resources. Recent studies on historic rainfall since 1955 have indicated an ongoing loss of precipitation in their headwaters, especially in the case of the Júcar river. The aim of the present study is to perform climate projections for the precipitation variable for several future periods (2021–2040, 2051–2070, 2081–2100) and emission scenarios (RCPs 4.5, 8.5) within the Júcar and Segura River Basin authorities. For this purpose, a s…

Mediterranean climateAtmospheric ScienceCMIP5 GCMs010504 meteorology & atmospheric sciencesTorrential rains0208 environmental biotechnologyDrainage basinClimate change02 engineering and technologyEnvironmental Science (miscellaneous)01 natural sciencesPeninsulaScenariosMeteorology. ClimatologyClimate changeDownscalingMeteorologiaPrecipitation0105 earth and related environmental sciencesgeographygeography.geographical_feature_categoryscenariosdownscalingtorrential rainsEast of Iberian Peninsula020801 environmental engineeringWater resourceshydrological planningclimate changeAnálisis Geográfico RegionalHydrological planningEnvironmental scienceClimate modelPhysical geographyQC851-999Downscaling
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Co-evolution of hydrological components under climate change scenarios in the Mediterranean area

2015

ABSTRACT The Mediterranean area is historically characterized by high human pressure on water resources. Today, while climate is projected to be modified in the future, through precipitation decrease and temperature increase, that jointly and non-linearly may affect runoff, concerns about water availability are increasing. For these reasons, quantitative assessment of future modifications in the mean annual water availability are important; likewise, the description of the future interannual variability of some hydrological components such as runoff and evapotranspiration are highly wished for water management and ecosystems dynamics analyses. This study investigates at basin spatial scale …

Mediterranean climateEnvironmental EngineeringWatershed010504 meteorology & atmospheric sciencesSettore ICAR/02 - Costruzioni Idrauliche E Marittime E Idrologia0208 environmental biotechnologyClimate change02 engineering and technologyRainfall–runoff model01 natural sciencesPollution020801 environmental engineeringWater resourcesClimatologyEvapotranspirationClimate changeEnvironmental ChemistryEnvironmental sciencePrecipitationSurface runoffWaste Management and DisposalWater resource0105 earth and related environmental sciencesDownscalingScience of The Total Environment
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Multiple stressors in Mediterranean coastal wetland ecosystems : Influence of salinity and an insecticide on zooplankton communities under different …

2021

Temperature increase, salinity intrusion and pesticide pollution have been suggested to be among the main stressors affecting the biodiversity of coastal wetland ecosystems. Here we assessed the single and combined effects of these stressors on zooplankton communities collected from a Mediterranean coastal lagoon. An indoor microcosm experiment was designed with temperature variation (20 °C and 30 °C), salinity (no addition, 2.5 g/L NaCl) and the insecticide chlorpyrifos (no addition, 1 μg/L) as treatments. The impact of these stressors was evaluated on water quality variables and on the zooplankton comunity (structure, diversity, abundance and taxa responses) for 28 days. This study shows …

Mediterranean climateEnvironmental Risk AssessmentInsecticidesSalinityAquatic Ecology and Water Quality ManagementEnvironmental EngineeringSoil salinityHealth Toxicology and Mutagenesis0208 environmental biotechnologyBiodiversity02 engineering and technology010501 environmental sciences01 natural sciencesZooplanktonZooplanktonEnvironmental ChemistryAnimalsClimate changeEcosystemPesticidesMultiple stressorsEcosystem0105 earth and related environmental sciencesWIMEKbiologyEcologyfungiSalinizationPublic Health Environmental and Occupational HealthTemperatureQ Science (General)General MedicineGeneral ChemistryAquatische Ecologie en Waterkwaliteitsbeheerbiology.organism_classificationPollution020801 environmental engineeringSalinityCladoceraWetlandsCoastal lagoonsEnvironmental scienceMicrocosm
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Scale effects on plot runoff and soil erosion in a mediterranean environment

2017

Explaining scale effects for runoff and erosion improves our understanding of hydrological and erosion processes. In this investigation, plot-scale effects on event runoff per unit area, Qe, sediment concentration, Ce, and soil loss per unit area, SLe, were checked at the Sparacia (Italy) site. Similar information on the scale effects was obtained with different dependent variables, i.e., individual values of Qe, Ce, and SLe for each plot or the mean of their replicated values, and scale indicators, i.e., plot length, l, or plot area, A. The most common result, occurring for 57 to 62% of the events depending on the considered variable, was the lack of any scale effect. When scale effects we…

Mediterranean climateHydrologyDependent variables Erosion process Mediterranean environment Rainfall characteristics Scale effects Scaling exponent. Sediment concentration Soil erosion0208 environmental biotechnologySoil ScienceEnvironmental scienceScale effects02 engineering and technologySurface runoffPlot (graphics)020801 environmental engineering
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Multiple recharge processes to heterogeneous Mediterranean coastal aquifers and implications on recharge rates evolution in time

2018

Abstract Climate change is nowadays widely considered to have major effects on groundwater resources. Climatic projections suggest a global increase in evaporation and higher frequency of strong rainfall events especially in Mediterranean context. Since evaporation is synonym of low recharge conditions whereas strong rainfall events are more favourable to recharge in heterogeneous subsurface contexts, a lack of knowledge remains then on the real ongoing and future drinking groundwater supply availability at aquifers scale. Due to low recharge potential and high inter-annual climate variability, this issue is strategic for the Mediterranean hydrosystems. This is especially the case for coast…

Mediterranean climateHydrologyIrrigationgeographygeography.geographical_feature_category010504 meteorology & atmospheric sciences0208 environmental biotechnologyClimate changeContext (language use)Aquifer02 engineering and technologyGroundwater recharge01 natural sciences6. Clean water020801 environmental engineering13. Climate actionEnvironmental science[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/HydrologySurface runoffGroundwaterComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciencesWater Science and Technology
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