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Many cities and urban centers around the world experience high air pollution episodes attributable to increased anthropogenic alterations of natural environmental systems. World Health Organization estimates indicate strong exceedances of prescribed limits in developing countries. However, the evidence on local pollution measures is limited for such cities and Uganda is no exception. Informed by the practical realities of air quality monitoring, this paper employs a low-cost approach using passive and active monitors to obtain characterization of pollution levels based on particulate matter 2.5, nitrogen dioxide, and ozone over a six-month period (starting in December 2018) for selected urban centers in three of the four macro-regions in Uganda. This is the first attempt to comprehensively assess pollution levels at a near-national level in Uganda. A combination of distributed stationary monitors and mobile monitors installed on motorcycle taxis (boda-boda) was employed in selected parishes to obtain spatiotemporal variations in the pollutant concentrations. The results suggest that seasonal particulate levels heavily depend on precipitation patterns with a strong inverse relation, which further corroborates the need for longer monitoring periods to reflect actual seasonal variations. Informed by the observed level of data completeness and quality in all the monitoring scenarios, the paper highlights the practicability and potential of a low-cost approach to air quality monitoring and the potential to use this information to inform citizens.
Air Pollution --- Air Quality and Clean Air --- Air Quality Monitoring --- Brown Issues and Health --- Climate Change Mitigation and Green House Gases --- Environment --- Mobile Technology --- Nitrogen Dioxide Emission --- Ozone --- Particulate Matter --- Pollutant Concentration --- Pollution Management and Control --- Seasonal Variation --- Spatiotemporal Variation --- Urban Air Quality --- Urban Development --- Urban Environment
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This Special Issue includes manuscripts about soil erosion and degradation processes and the accelerated rates due to hydrological processes and climate change. The new research included in this issue focuses on measurements, modeling, and experiments in field or laboratory conditions developed at different scales (pedon, hillslope, and catchment). This Special Issue received investigations from different parts of the world such as Ethiopia, Morocco, China, Iran, Italy, Portugal, Greece, and Spain, among others. We are happy to see that all papers presented findings characterized as unconventional, provocative, innovative, and methodologically new. We hope that the readers of the journal Water can enjoy and learn about hydrology and soil erosion using the published material, and share the results with the scientific community, policymakers, and stakeholders to continue this amazing adventure, facing plenty of issues and challenges.
Research & information: general --- soil --- natural resources --- modeling --- hybrid model --- Bastam watershed --- splash erosion --- environmental assessment --- soil erosion --- rainfall simulation --- loess landslide --- agricultural irrigation --- field investigation --- static liquefaction --- RUSLE --- soil erodibility --- gravel content --- Chaohu Lake Basin --- vineyards --- soil management --- tractor traffic --- hydrological properties --- erosion --- runoff --- hydraulic conductivity --- soil water conservation --- argan --- South Morocco --- soil degradation --- tree --- intertree --- Ethiopian highlands --- eucalyptus --- gully --- soil loss --- soil and water conservation practices --- gully erosion susceptibility --- GIS --- robustness --- MARS algorithm --- rainfall-runoff processes --- hillslope morphology --- surface flow --- roughness --- land degradation --- soil conservation --- remote sensing --- urbanization --- land-use --- suspended sediment concentration --- spatiotemporal variation --- hydrological processes --- different scales --- models --- experiments
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This Special Issue includes manuscripts about soil erosion and degradation processes and the accelerated rates due to hydrological processes and climate change. The new research included in this issue focuses on measurements, modeling, and experiments in field or laboratory conditions developed at different scales (pedon, hillslope, and catchment). This Special Issue received investigations from different parts of the world such as Ethiopia, Morocco, China, Iran, Italy, Portugal, Greece, and Spain, among others. We are happy to see that all papers presented findings characterized as unconventional, provocative, innovative, and methodologically new. We hope that the readers of the journal Water can enjoy and learn about hydrology and soil erosion using the published material, and share the results with the scientific community, policymakers, and stakeholders to continue this amazing adventure, facing plenty of issues and challenges.
soil --- natural resources --- modeling --- hybrid model --- Bastam watershed --- splash erosion --- environmental assessment --- soil erosion --- rainfall simulation --- loess landslide --- agricultural irrigation --- field investigation --- static liquefaction --- RUSLE --- soil erodibility --- gravel content --- Chaohu Lake Basin --- vineyards --- soil management --- tractor traffic --- hydrological properties --- erosion --- runoff --- hydraulic conductivity --- soil water conservation --- argan --- South Morocco --- soil degradation --- tree --- intertree --- Ethiopian highlands --- eucalyptus --- gully --- soil loss --- soil and water conservation practices --- gully erosion susceptibility --- GIS --- robustness --- MARS algorithm --- rainfall-runoff processes --- hillslope morphology --- surface flow --- roughness --- land degradation --- soil conservation --- remote sensing --- urbanization --- land-use --- suspended sediment concentration --- spatiotemporal variation --- hydrological processes --- different scales --- models --- experiments
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The main aim of this book is to present various implementations of ML methods and metaheuristic algorithms to improve modelling and prediction hydrological and water resources phenomena having vital importance in water resource management.
Research & information: general --- groundwater --- artificial intelligence --- hydrologic model --- groundwater level prediction --- machine learning --- principal component analysis --- spatiotemporal variation --- uncertainty analysis --- hydroinformatics --- support vector machine --- big data --- artificial neural network --- nitrogen compound --- nitrogen prediction --- prediction models --- neural network --- non-linear modeling --- PACF --- WANN --- SVM-LF --- SVM-RF --- Govindpur --- streamflow forecasting --- Bayesian model averaging --- multivariate adaptive regression spline --- M5 model tree --- Kernel extreme learning machines --- South Korea --- uncertainty --- sustainability --- prediction intervals --- ungauged basin --- streamflow simulation --- satellite precipitation --- atmospheric reanalysis --- ensemble modeling --- additive regression --- bagging --- dagging --- random subspace --- rotation forest --- flood routing --- Muskingum method --- extension principle --- calibration --- fuzzy sets and systems --- particle swarm optimization --- EEFlux --- irrigation performance --- CWP --- water conservation --- NDVI --- water resources --- Daymet V3 --- Google Earth Engine --- improved extreme learning machine (IELM) --- sensitivity analysis --- shortwave radiation flux density --- sustainable development --- groundwater --- artificial intelligence --- hydrologic model --- groundwater level prediction --- machine learning --- principal component analysis --- spatiotemporal variation --- uncertainty analysis --- hydroinformatics --- support vector machine --- big data --- artificial neural network --- nitrogen compound --- nitrogen prediction --- prediction models --- neural network --- non-linear modeling --- PACF --- WANN --- SVM-LF --- SVM-RF --- Govindpur --- streamflow forecasting --- Bayesian model averaging --- multivariate adaptive regression spline --- M5 model tree --- Kernel extreme learning machines --- South Korea --- uncertainty --- sustainability --- prediction intervals --- ungauged basin --- streamflow simulation --- satellite precipitation --- atmospheric reanalysis --- ensemble modeling --- additive regression --- bagging --- dagging --- random subspace --- rotation forest --- flood routing --- Muskingum method --- extension principle --- calibration --- fuzzy sets and systems --- particle swarm optimization --- EEFlux --- irrigation performance --- CWP --- water conservation --- NDVI --- water resources --- Daymet V3 --- Google Earth Engine --- improved extreme learning machine (IELM) --- sensitivity analysis --- shortwave radiation flux density --- sustainable development
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This Special Issue includes manuscripts about soil erosion and degradation processes and the accelerated rates due to hydrological processes and climate change. The new research included in this issue focuses on measurements, modeling, and experiments in field or laboratory conditions developed at different scales (pedon, hillslope, and catchment). This Special Issue received investigations from different parts of the world such as Ethiopia, Morocco, China, Iran, Italy, Portugal, Greece, and Spain, among others. We are happy to see that all papers presented findings characterized as unconventional, provocative, innovative, and methodologically new. We hope that the readers of the journal Water can enjoy and learn about hydrology and soil erosion using the published material, and share the results with the scientific community, policymakers, and stakeholders to continue this amazing adventure, facing plenty of issues and challenges.
Research & information: general --- soil --- natural resources --- modeling --- hybrid model --- Bastam watershed --- splash erosion --- environmental assessment --- soil erosion --- rainfall simulation --- loess landslide --- agricultural irrigation --- field investigation --- static liquefaction --- RUSLE --- soil erodibility --- gravel content --- Chaohu Lake Basin --- vineyards --- soil management --- tractor traffic --- hydrological properties --- erosion --- runoff --- hydraulic conductivity --- soil water conservation --- argan --- South Morocco --- soil degradation --- tree --- intertree --- Ethiopian highlands --- eucalyptus --- gully --- soil loss --- soil and water conservation practices --- gully erosion susceptibility --- GIS --- robustness --- MARS algorithm --- rainfall-runoff processes --- hillslope morphology --- surface flow --- roughness --- land degradation --- soil conservation --- remote sensing --- urbanization --- land-use --- suspended sediment concentration --- spatiotemporal variation --- hydrological processes --- different scales --- models --- experiments --- soil --- natural resources --- modeling --- hybrid model --- Bastam watershed --- splash erosion --- environmental assessment --- soil erosion --- rainfall simulation --- loess landslide --- agricultural irrigation --- field investigation --- static liquefaction --- RUSLE --- soil erodibility --- gravel content --- Chaohu Lake Basin --- vineyards --- soil management --- tractor traffic --- hydrological properties --- erosion --- runoff --- hydraulic conductivity --- soil water conservation --- argan --- South Morocco --- soil degradation --- tree --- intertree --- Ethiopian highlands --- eucalyptus --- gully --- soil loss --- soil and water conservation practices --- gully erosion susceptibility --- GIS --- robustness --- MARS algorithm --- rainfall-runoff processes --- hillslope morphology --- surface flow --- roughness --- land degradation --- soil conservation --- remote sensing --- urbanization --- land-use --- suspended sediment concentration --- spatiotemporal variation --- hydrological processes --- different scales --- models --- experiments
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Metal ions are fundamental elements for the maintenance of the lifespan of plants, animals and humans. Their substantial role in biological systems was recognized a long time ago. They are essential for the maintenance of life and their absence can cause growth disorders, severe malfunction, carcinogenesis or death. They are protagonists as macro- or microelements in several structural and functional roles, participating in many bio-chemical reactions, and arise in several forms. They participate in intra- and intercellular communications, in maintaining electrical charges and osmotic pressure, in photosynthesis and electron transfer processes, in the maintenance of pairing, stacking and the stability of nucleotide bases and also in the regulation of DNA transcription. They contribute to the proper functioning of nerve cells, muscle cells, the brain and the heart, the transport of oxygen and to many other biological processes up to the point that we cannot even imagine a life without metals. In this book, the papers published in the Special Issue “The Role of Metal Ions in Biology, Biochemistry and Medicine” are summarized, providing a picture of metal ion uses in biology, biochemistry and medicine, but also pointing out the toxicity impacts on plants, animals, humans and the environment.
Research & information: general --- aluminium --- chlorophyll fluorescence --- durum wheat --- excitation pressure --- non-photochemical quenching --- photosynthesis --- photoprotection --- photoinhibition --- reactive oxygen species --- triticale --- Cd toxicity --- detoxification mechanism --- photochemical quenching --- photosynthetic heterogeneity --- photoprotective mechanism --- phytoremediation --- plastoquinone pool --- redox state --- spatiotemporal variation --- mercury --- biosorption --- dead cells --- Lysinibacillus sphaericus --- dithizone --- GF-AAS --- EDS-SEM --- adaptive response --- hormetic response --- hydrogen peroxide --- marine angiosperms --- reactive oxygen species (ROS) --- zinc oxide nanoparticles --- titanium dioxide --- nanoparticles --- solubility --- toxicity --- skin --- safety --- bimetallic nanoparticles --- mature leaves --- spatiotemporal heterogeneity --- young leaves --- osteoblasts --- corrosion --- ions --- particles --- osteolysis --- inflammation --- bioimaging --- clary sage --- effective quantum yield (ΦPSΙΙ) --- non-photochemical quenching (NPQ) --- photochemical quenching (qp) --- singlet oxygen (1O2) --- aseptic loosening --- metal ions --- monocytes --- macrophages --- 5-caffeoylquinic acid --- chlorogenic acid --- zinc --- plant phenolic compounds --- oxidative stress --- aluminium --- chlorophyll fluorescence --- durum wheat --- excitation pressure --- non-photochemical quenching --- photosynthesis --- photoprotection --- photoinhibition --- reactive oxygen species --- triticale --- Cd toxicity --- detoxification mechanism --- photochemical quenching --- photosynthetic heterogeneity --- photoprotective mechanism --- phytoremediation --- plastoquinone pool --- redox state --- spatiotemporal variation --- mercury --- biosorption --- dead cells --- Lysinibacillus sphaericus --- dithizone --- GF-AAS --- EDS-SEM --- adaptive response --- hormetic response --- hydrogen peroxide --- marine angiosperms --- reactive oxygen species (ROS) --- zinc oxide nanoparticles --- titanium dioxide --- nanoparticles --- solubility --- toxicity --- skin --- safety --- bimetallic nanoparticles --- mature leaves --- spatiotemporal heterogeneity --- young leaves --- osteoblasts --- corrosion --- ions --- particles --- osteolysis --- inflammation --- bioimaging --- clary sage --- effective quantum yield (ΦPSΙΙ) --- non-photochemical quenching (NPQ) --- photochemical quenching (qp) --- singlet oxygen (1O2) --- aseptic loosening --- metal ions --- monocytes --- macrophages --- 5-caffeoylquinic acid --- chlorogenic acid --- zinc --- plant phenolic compounds --- oxidative stress
Choose an application
The main aim of this book is to present various implementations of ML methods and metaheuristic algorithms to improve modelling and prediction hydrological and water resources phenomena having vital importance in water resource management.
Research & information: general --- groundwater --- artificial intelligence --- hydrologic model --- groundwater level prediction --- machine learning --- principal component analysis --- spatiotemporal variation --- uncertainty analysis --- hydroinformatics --- support vector machine --- big data --- artificial neural network --- nitrogen compound --- nitrogen prediction --- prediction models --- neural network --- non-linear modeling --- PACF --- WANN --- SVM-LF --- SVM-RF --- Govindpur --- streamflow forecasting --- Bayesian model averaging --- multivariate adaptive regression spline --- M5 model tree --- Kernel extreme learning machines --- South Korea --- uncertainty --- sustainability --- prediction intervals --- ungauged basin --- streamflow simulation --- satellite precipitation --- atmospheric reanalysis --- ensemble modeling --- additive regression --- bagging --- dagging --- random subspace --- rotation forest --- flood routing --- Muskingum method --- extension principle --- calibration --- fuzzy sets and systems --- particle swarm optimization --- EEFlux --- irrigation performance --- CWP --- water conservation --- NDVI --- water resources --- Daymet V3 --- Google Earth Engine --- improved extreme learning machine (IELM) --- sensitivity analysis --- shortwave radiation flux density --- sustainable development --- n/a
Choose an application
Metal ions are fundamental elements for the maintenance of the lifespan of plants, animals and humans. Their substantial role in biological systems was recognized a long time ago. They are essential for the maintenance of life and their absence can cause growth disorders, severe malfunction, carcinogenesis or death. They are protagonists as macro- or microelements in several structural and functional roles, participating in many bio-chemical reactions, and arise in several forms. They participate in intra- and intercellular communications, in maintaining electrical charges and osmotic pressure, in photosynthesis and electron transfer processes, in the maintenance of pairing, stacking and the stability of nucleotide bases and also in the regulation of DNA transcription. They contribute to the proper functioning of nerve cells, muscle cells, the brain and the heart, the transport of oxygen and to many other biological processes up to the point that we cannot even imagine a life without metals. In this book, the papers published in the Special Issue “The Role of Metal Ions in Biology, Biochemistry and Medicine” are summarized, providing a picture of metal ion uses in biology, biochemistry and medicine, but also pointing out the toxicity impacts on plants, animals, humans and the environment.
Research & information: general --- aluminium --- chlorophyll fluorescence --- durum wheat --- excitation pressure --- non-photochemical quenching --- photosynthesis --- photoprotection --- photoinhibition --- reactive oxygen species --- triticale --- Cd toxicity --- detoxification mechanism --- photochemical quenching --- photosynthetic heterogeneity --- photoprotective mechanism --- phytoremediation --- plastoquinone pool --- redox state --- spatiotemporal variation --- mercury --- biosorption --- dead cells --- Lysinibacillus sphaericus --- dithizone --- GF-AAS --- EDS-SEM --- adaptive response --- hormetic response --- hydrogen peroxide --- marine angiosperms --- reactive oxygen species (ROS) --- zinc oxide nanoparticles --- titanium dioxide --- nanoparticles --- solubility --- toxicity --- skin --- safety --- bimetallic nanoparticles --- mature leaves --- spatiotemporal heterogeneity --- young leaves --- osteoblasts --- corrosion --- ions --- particles --- osteolysis --- inflammation --- bioimaging --- clary sage --- effective quantum yield (ΦPSΙΙ) --- non-photochemical quenching (NPQ) --- photochemical quenching (qp) --- singlet oxygen (1O2) --- aseptic loosening --- metal ions --- monocytes --- macrophages --- 5-caffeoylquinic acid --- chlorogenic acid --- zinc --- plant phenolic compounds --- oxidative stress --- n/a
Choose an application
The main aim of this book is to present various implementations of ML methods and metaheuristic algorithms to improve modelling and prediction hydrological and water resources phenomena having vital importance in water resource management.
groundwater --- artificial intelligence --- hydrologic model --- groundwater level prediction --- machine learning --- principal component analysis --- spatiotemporal variation --- uncertainty analysis --- hydroinformatics --- support vector machine --- big data --- artificial neural network --- nitrogen compound --- nitrogen prediction --- prediction models --- neural network --- non-linear modeling --- PACF --- WANN --- SVM-LF --- SVM-RF --- Govindpur --- streamflow forecasting --- Bayesian model averaging --- multivariate adaptive regression spline --- M5 model tree --- Kernel extreme learning machines --- South Korea --- uncertainty --- sustainability --- prediction intervals --- ungauged basin --- streamflow simulation --- satellite precipitation --- atmospheric reanalysis --- ensemble modeling --- additive regression --- bagging --- dagging --- random subspace --- rotation forest --- flood routing --- Muskingum method --- extension principle --- calibration --- fuzzy sets and systems --- particle swarm optimization --- EEFlux --- irrigation performance --- CWP --- water conservation --- NDVI --- water resources --- Daymet V3 --- Google Earth Engine --- improved extreme learning machine (IELM) --- sensitivity analysis --- shortwave radiation flux density --- sustainable development --- n/a
Choose an application
Metal ions are fundamental elements for the maintenance of the lifespan of plants, animals and humans. Their substantial role in biological systems was recognized a long time ago. They are essential for the maintenance of life and their absence can cause growth disorders, severe malfunction, carcinogenesis or death. They are protagonists as macro- or microelements in several structural and functional roles, participating in many bio-chemical reactions, and arise in several forms. They participate in intra- and intercellular communications, in maintaining electrical charges and osmotic pressure, in photosynthesis and electron transfer processes, in the maintenance of pairing, stacking and the stability of nucleotide bases and also in the regulation of DNA transcription. They contribute to the proper functioning of nerve cells, muscle cells, the brain and the heart, the transport of oxygen and to many other biological processes up to the point that we cannot even imagine a life without metals. In this book, the papers published in the Special Issue “The Role of Metal Ions in Biology, Biochemistry and Medicine” are summarized, providing a picture of metal ion uses in biology, biochemistry and medicine, but also pointing out the toxicity impacts on plants, animals, humans and the environment.
aluminium --- chlorophyll fluorescence --- durum wheat --- excitation pressure --- non-photochemical quenching --- photosynthesis --- photoprotection --- photoinhibition --- reactive oxygen species --- triticale --- Cd toxicity --- detoxification mechanism --- photochemical quenching --- photosynthetic heterogeneity --- photoprotective mechanism --- phytoremediation --- plastoquinone pool --- redox state --- spatiotemporal variation --- mercury --- biosorption --- dead cells --- Lysinibacillus sphaericus --- dithizone --- GF-AAS --- EDS-SEM --- adaptive response --- hormetic response --- hydrogen peroxide --- marine angiosperms --- reactive oxygen species (ROS) --- zinc oxide nanoparticles --- titanium dioxide --- nanoparticles --- solubility --- toxicity --- skin --- safety --- bimetallic nanoparticles --- mature leaves --- spatiotemporal heterogeneity --- young leaves --- osteoblasts --- corrosion --- ions --- particles --- osteolysis --- inflammation --- bioimaging --- clary sage --- effective quantum yield (ΦPSΙΙ) --- non-photochemical quenching (NPQ) --- photochemical quenching (qp) --- singlet oxygen (1O2) --- aseptic loosening --- metal ions --- monocytes --- macrophages --- 5-caffeoylquinic acid --- chlorogenic acid --- zinc --- plant phenolic compounds --- oxidative stress --- n/a
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