An optimal nephelometric model design method for particle characterisation

Scattering nephelometry is a particle characterisation method applicable to fluid suspensions containing impurities. Solutions derived by the method feature particle classification by size (diameter), volume or texture as well as continuous on-line and in-situ monitoring, The replacement of turbidimeters with nephelometers in many existing turbidity applications could result in suppression of side effects caused by limitations and uncontrolled parameter drifts and satisfaction of problem-defined constraints at virtually no change in implementation cost. A major issue of nephelometric model design is the selection of a mathematical tool suitable for the modelling of the data analysis system. [Continues.

Anthropogenic alteration of the nitrogen cycle in coastal waters: Case studies from the Mediterranean Sea and the Gulf of Mexico

Tesis por compendio[ES] El nitrógeno (N) es uno de los elementos más importantes para la vida, pero el desequilibrio provocado sobre el ciclo del N está causando daños importantes a muchos ecosistemas en todo el mundo. En aguas costeras, los procesos del N se ven alterados por fertilizantes, la urbanización o la producción de energía. El objetivo principal de esta tesis es contribuir a la evaluación de cómo la actividad antropogénica y el cambio climático modifican la dinámica del N en aguas costeras. Con este propósito se seleccionaron dos lugares de estudio: la demarcación hidrográfica del Júcar (JRBD) en el Noroeste del Mar Mediterráneo y la Región Hidrológica del Golfo Central (CGHR) al Sur del Golfo de México. La tesis se presenta como una colección de cuatro artículos. El primer artículo evalúa cómo la nitrificación en aguas costeras es alterada por las presiones antropogénicas y en asentamientos urbanos en el JRBD. Mediante la aplicación de un modelo biogeoquímico simple que simula la dinámica del nitrito en nueve áreas costeras, se evaluó el desacoplamiento de los dos pasos de la nitrificación. Las conclusiones indican que las presiones antropogénicas modifican los picos de nitrito en invierno debido a las bajas temperaturas y que el segundo paso de la nitrificación es más sensible a la temperatura, lo que implica que el cambio climático puede contribuir al desacoplamiento. El segundo artículo evalúa las tendencias del nitrógeno inorgánico disuelto (NID) por el cambio climático en el JRBD. El efecto de las variables meteorológicas en las concentraciones de NID se estudió mediante la aplicación de redes neuronales artificiales simples entrenadas con datos de campo. Se observaron tendencias decrecientes de nitrito y nitrato a lo largo del siglo XXI bajo los escenarios climático RCP 4.5 y RCP 8.5, debido al aumento de las temperaturas y a la disminución de las precipitaciones, con cambios más significativos en invierno. El amonio no mostró ninguna tendencia anual significativa, pero se observaron aumentos o disminuciones durante algunos meses. En el tercer artículo se desarrolla un nuevo método basado en teoría de sistemas grises y entropía de Shannon para obtener información útil sobre la contaminación por N en áreas donde los datos disponibles son limitados. El método se aplicó a ocho estuarios del CGHR asociados a manglares. Se desarrollaron dos índices: el índice gris de prioridad de gestión de nitrógeno (GNMP) y el índice gris de presión de uso del suelo (GLUP). Ambos fueron comparados para validar la metodología y los resultados indican que la urbanización sobre playas y manglares es la principal causa de la contaminación de N. El cuarto artículo es un análisis espaciotemporal de la contaminación de N a lo largo de dos ríos que desembocan en una zona turística del CGHR asociada a manglares. Mediante técnicas estadísticas como el análisis de cluster, la prueba de MannKendall y la prueba W de MannWhitney, se realizó una evaluación del origen de la contaminación de N y las variaciones temporales de los compuestos de N. Los resultados concluyen que las concentraciones de N orgánico están aumentando a lo largo de la costa, y la principal fuente identificada fue la descomposición de la especie invasora de jacintos de agua en aguas salinas, que ha cubierto completamente las playas y manglares circundantes potenciado por la contaminación de N. El conjunto de la investigación concluye que tanto la contaminación como el cambio climático alteran el ciclo del N en aguas costeras al modificar elementos importantes del N como la nitrificación, las variaciones interanuales de las concentraciones de N o los ecosistemas costeros. Las diferencias en las características ecológicas y socioeconómicas de las dos zonas de estudio desempeñaron un papel decisivo en las presiones e impactos de las actividades antropogénicas. Además, los métodos desarrollados pueden aplicar[CAT] El nitrogen (N) és un dels elements més importants per a la vida, però el desequilibri provocat sobre el cicle del N està causant danys importants a molts ecosistemes. En aigües costaneres els processos del N es veuen alterats per fertilitzants, el desenvolupament urbà o la producció d'energia. L'objectiu principal d'aquesta investigació és contribuir a l'avaluació de com l'activitat antropogénica i el canvi climàtic modifiquen la dinàmica del N en aigües costaneres. Amb aquest propòsit es van seleccionar dos llocs d'estudi: la demarcació hidrogràfica del Xúquer (JRBD) al Nord-oest de la Mar Mediterrània i la Regió Hidrològica del Golf Central (CGHR) al Sud del Golf de Mèxic. La tesi es presenta com una col·lecció de quatre articles. El primer article avalua com la nitrificació en aigües costaneres es veu alterada per les pressions antropogèniques i prop dels assentaments urbans en el JRBD. Mitjançant l'aplicació d'un model biogeoquímic que simula la dinàmica del nitrit a nou àrees costaneres, es va avaluar el desacoblament dels dos passos de la nitrificació. Les conclusions indiquen que les pressions antropogèniques modifiquen els pics de nitrit observats a l'hivern a causa de les baixes temperaturas i que el segon pas de la nitrificació és més sensible a la temperatura, la qual cosa implica que el canvi climàtic pot contribuir al desacoblament d'aquests dos passos. El segon article avalua les tendències futures de nitrogen inorgànic dissolt (NID) pel canvi climàtic en el JRBD. L'efecte de les variables meteorològiques en les concentracions de NID es va estudiar mitjançant l'aplicació de xarxes neuronals artificials simples entrenades amb dades de camp. Es van observar tendències decreixents de nitrits i nitrats al llarg del segle XXI sota els escenaris climàtics RCP 4.5 i RCP 8.5, a causa de l'augment de les temperatures i a la disminució de les precipitacions, amb canvis més significatius a l'hivern. L'amoni no va mostrar cap tendència anual significativa, però es van observar augments o disminucions durant alguns mesos. En el tercer article es desenvolupa un nou mètode basat en la teoria dels sistemes grisos i l'entropia de Shannon per a obtindre informació útil sobre la contaminació per N en àrees on les dades disponibles són limitats. El mètode es va aplicar a huit estuaris del CGHR associats a manglars. Es van desenvolupar dos índexs: l'índex gris de prioritat de gestió de nitrogen (GNMP) i l'índex gris de pressió d'ús de la terra (GLUP). Els dos van ser comparats per a validar la metodologia. Els resultats indiquen que el desenvolupament urbà sobre platges i manglars és la principal causa de la contaminació de N en l'àrea d'estudi. El quart article és una anàlisi espacio-temporal de la contaminació de N al llarg de dues rius que desemboquen en una zona turística costanera del CGHR associada a manglars. Mitjançant tècniques estadístiques com l'anàlisi de clúster, les proves MannKendall i W de MannWhitney, es va realitzar una avaluació de l'origen de la contaminació de N i les variacions temporals dels compostos de N. Els resultats conclouen que les concentracions de N orgànic estan augmentant al llarg de la costa, i la principal font identificada va ser la descomposició de l'espècie invasora de jacints d'aigua en aigües salines, que ha cobert completament les platges i manglars circumdants potenciat per la contaminació de N. El conjunt de la investigació conclou que tant la contaminació com el canvi climàtic alteren el cicle del N en aigües costaneres en modificar els processos del N com la nitrificació, les variacions interanuals de les concentracions de N i la destrucció dels ecosistemes costaners. Les diferències en les característiques ecològiques i socioeconòmiques de les dues zones d'estudi van exercir un paper decisiu en les pressions i impactes de les activitats antropogèniques. A més, els mètodes desenvolupats poden[EN] Nitrogen (N) is one of the most important elements for life on Earth, but the unbalance caused to the N cylce is causing dramatic damage to many ecosystems around the world. In coastal waters, the N processes are altered by anthropogenic activities such as the excessive use of fertilizers, urban development or energy production. The main objective of this research is to contribute to the evaluation of how anthropogenic activities and climate change modify the N dynamics in coastal waters. For this purpose, two study sites were selected: the Jucar River Basin District (JRBD) in the Northwestern Mediterranean Sea (Spain) and the Central Gulf Hydrological Region (CGHR) in the Southern Gulf of Mexico (Mexico). The thesis is presented as a collection of four research articles. The first article evaluates how nitrification in coastal waters is altered by anthropogenic pressures and close to urban settlements in the JRBD. Through the application of a simple biogeochemical model that simulates nitrite dynamics to nine coastal areas, an evaluation of the decoupling of the two steps of nitrification was carried out. The main conclusions indicate that anthropogenic pressures modify the nitrite peaks observed in winter driven by low temperatures. The research also concludes that the second step of nitrification is more sensitive to temperature, which entails that climate change may contribute to the decoupling. The second article evaluates the future trends of dissolved inorganic nitrogen (DIN) concentrations under climate change in the JRBD. The effect of meteorological variables on DIN concentrations was studied through the application of simple artificial neural networks trained with field data. Decreasing trends of nitrite and nitrate concentrations were observed throughout the 21st century under both climatic scenarios RCP 4.5 and RCP 8.5, mainly due to rising temperatures and decreasing rainfall, with major changes expected in winter. On the other hand, ammonium did not show any significant annual trend but it either increased or decreased during some months. The third article develops a new method based on grey systems theory and Shannon entropy to derive useful information regarding N pollution in areas where only limited data is available. The method was applied to eight estuaries of the CGHR associated to mangroves. Two indexes were developed: the Grey Nitrogen Management Priority (GNMP) index and the Grey Land Use Pressure (GLUP) index. The two indexes were then confronted to validate the methodology. The results indicate that the urban development over beaches and mangroves is the leading cause of N pollution in the study area. The fourth article is a spatiotemporal analysis of N pollution along two rivers discharging into a touristic coastal area of the CGHR associated to mangroves. Through statistical techniques such as clustering analysis, the Mann-Kendall test and the Mann-Whitney W-test, an evaluation of the origine of N pollution and the temporal variations of the N compounds was performed. The results conclude than organic N concentrations are increasing along the coast, and the main potential source identified was the decomposition of the invasive species of water hyacinths in saline waters, which has completely covered the surrounding beaches and mangroves, enhanced by N pollution. Overall, the main conclusions are that both pollution and climate change alter the N cycle in coastal waters by modifying N processes such as nitrification, the interannual variations of N concentrations and by destroying the coastal ecosystems. The differences in ecological and socio-economic characteristics of the two study sites played a significant role in the pressures and impacts of anthropogenic activities. Moreover, the methods developed can be applied to other coastal regions to evaluate the anthropogenic alteration of the N cycle worldwide.This thesis was carried out with an international cotutelle between the Polytechnic University of Valencia in Spain and the Veracruzan University in Mexico. This thesis has been financed by the following scholarships: - Erasmus Mundus - MAYANET Grant Agreement Number 2014-0872/001 - 001, funded with support from the European Commission. - Cotutelle PhD scholarship granted by the Universitat Politècnica de València. - Excellence Scholarship awarded by the Mexican Government through the Mexican Agency for International Development Cooperation (AMEXCID)Temiño Boes, R. (2020). Anthropogenic alteration of the nitrogen cycle in coastal waters: Case studies from the Mediterranean Sea and the Gulf of Mexico [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/158560TESISCompendi

Estimating the concentration of physico chemical parameters in hydroelectric power plant reservoir

The United Nations Educational, Scientific and Cultural Organization (UNESCO) defines the amazon region and adjacent areas, such as the Pantanal, as world heritage territories, since they possess unique flora and fauna and great biodiversity. Unfortunately, these regions have increasingly been suffering from anthropogenic impacts. One of the main anthropogenic impacts in the last decades has been the construction of hydroelectric power plants. As a result, dramatic altering of these ecosystems has been observed, including changes in water levels, decreased oxygenation and loss of downstream organic matter, with consequent intense land use and population influxes after the filling and operation of these reservoirs. This, in turn, leads to extreme loss of biodiversity in these areas, due to the large-scale deforestation. The fishing industry in place before construction of dams and reservoirs, for example, has become much more intense, attracting large populations in search of work, employment and income. Environmental monitoring is fundamental for reservoir management, and several studies around the world have been performed in order to evaluate the water quality of these ecosystems. The Brazilian Amazon, in particular, goes through well defined annual hydrological cycles, which are very importante since their study aids in monitoring anthropogenic environmental impacts and can lead to policy and decision making with regard to environmental management of this area. The water quality of amazon reservoirs is greatly influenced by this defined hydrological cycle, which, in turn, causes variations of microbiological, physical and chemical characteristics. Eutrophication, one of the main processes leading to water deterioration in lentic environments, is mostly caused by anthropogenic activities, such as the releases of industrial and domestic effluents into water bodies. Physico-chemical water parameters typically related to eutrophication are, among others, chlorophyll-a levels, transparency and total suspended solids, which can, thus, be used to assess the eutrophic state of water bodies. Usually, these parameters must be investigated by going out to the field and manually measuring water transparency with the use of a Secchi disk, and taking water samples to the laboratory in order to obtain chlorophyll-a and total suspended solid concentrations. These processes are time- consuming and require trained personnel. However, we have proposed other techniques to environmental monitoring studies which do not require fieldwork, such as remote sensing and computational intelligence. Simulations in different reservoirs were performed to determine a relationship between these physico-chemical parameters and the spectral response. Based on the in situ measurements, empirical models were established to relate the reflectance of the reservoir measured by the satellites. The images were calibrated and corrected atmospherically. Statistical analysis using error estimation was used to evaluate the most accurate methodology. The Neural Networks were trained by hydrological cycle, and were useful to estimate the physicalchemical parameters of the water from the reflectance of visible bands and NIR of satellite images, with better results for the period with few clouds in the regions analyzed. The present study shows the application of wavelet neural network to estimate water quality parameters using concentration of the water samples collected in the Amazon reservoir and Cefni reservoir, UK. Sattelite imagens from Landsats and Sentinel-2 were used to train the ANN by hydrological cycle. The trained ANNs demonstrated good results between observed and estimated after Atmospheric corrections in satellites images. The ANNs showed in the results are useful to estimate these concentrations using remote sensing and wavelet transform for image processing. Therefore, the techniques proposed and applied in the present study are noteworthy since they can aid in evaluating important physico-chemical parameters, which, in turn, allows for identification of possible anthropogenic impacts, being relevant in environmental management and policy decision-making processes. The tests results showed that the predicted values have good accurate. Improving efficiency to monitor water quality parameters and confirm the reliability and accuracy of the approaches proposed for monitoring water reservoirs. This thesis contributes to the evaluation of the accuracy of different methods in the estimation of physical-chemical parameters, from satellite images and artificial neural networks. For future work, the accuracy of the results can be improved by adding more satellite images and testing new neural networks with applications in new water reservoirs

Proceedings of the 2nd International Workshop on Integrated Soil and Water Protection - Risks from diffuse pollution (SOWA)

Soil pollution and degradation is a result of population growth and technological development. A wide range of man-made chemicals designed for use in industry, agriculture, pest control, consumer goods, and emissions from the combustion of fossil fuels are the main sources for diffuse pollution. Within the water cycle, soils act as the key zone for storage, filtration and transport of water and associated pollutants. If the accumulation of pollutants exceeds the buffer capacity, then soils or sediments can become the source of diffuse pollution of adjacent compartments such as for groundwater and surface waters. The most relevant scientific questions for future research such as the physico-chemical multifunctionality of soils, long-term vs. short term issues and European/global scale opposed to local dimensions are discussed in these proceedings

Advances in Reinforcement Learning

Reinforcement Learning (RL) is a very dynamic area in terms of theory and application. This book brings together many different aspects of the current research on several fields associated to RL which has been growing rapidly, producing a wide variety of learning algorithms for different applications. Based on 24 Chapters, it covers a very broad variety of topics in RL and their application in autonomous systems. A set of chapters in this book provide a general overview of RL while other chapters focus mostly on the applications of RL paradigms: Game Theory, Multi-Agent Theory, Robotic, Networking Technologies, Vehicular Navigation, Medicine and Industrial Logistic

Pathways to Water Sector Decarbonization, Carbon Capture and Utilization

The water sector is in the middle of a paradigm shift from focusing on treatment and meeting discharge permit limits to integrated operation that also enables a circular water economy via water reuse, resource recovery, and system level planning and operation. While the sector has gone through different stages of such revolution, from improving energy efficiency to recovering renewable energy and resources, when it comes to the next step of achieving carbon neutrality or negative emission, it falls behind other infrastructure sectors such as energy and transportation. The water sector carries tremendous potential to decarbonize, from technological advancements, to operational optimization, to policy and behavioural changes. This book aims to fill an important gap for different stakeholders to gain knowledge and skills in this area and equip the water community to further decarbonize the industry and build a carbon-free society and economy. The book goes beyond technology overviews, rather it aims to provide a system level blueprint for decarbonization. It can be a reference book and textbook for graduate students, researchers, practitioners, consultants and policy makers, and it will provide practical guidance for stakeholders to analyse and implement decarbonization measures in their professions

Pathways to Water Sector Decarbonization, Carbon Capture and Utilization

The water sector is in the middle of a paradigm shift from focusing on treatment and meeting discharge permit limits to integrated operation that also enables a circular water economy via water reuse, resource recovery, and system level planning and operation. While the sector has gone through different stages of such revolution, from improving energy efficiency to recovering renewable energy and resources, when it comes to the next step of achieving carbon neutrality or negative emission, it falls behind other infrastructure sectors such as energy and transportation. The water sector carries tremendous potential to decarbonize, from technological advancements, to operational optimization, to policy and behavioural changes. This book aims to fill an important gap for different stakeholders to gain knowledge and skills in this area and equip the water community to further decarbonize the industry and build a carbon-free society and economy. The book goes beyond technology overviews, rather it aims to provide a system level blueprint for decarbonization. It can be a reference book and textbook for graduate students, researchers, practitioners, consultants and policy makers, and it will provide practical guidance for stakeholders to analyse and implement decarbonization measures in their professions