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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.
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
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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.
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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This book brings together the latest research findings on the state of air pollution control and its impact on economic growth in different countries. The book has substantial content and rich discussion. It is suitable for students and researchers at different levels to learn the status of air pollution, governance policies and their effects, and the relationship between pollution control and economic growth in countries around the world.
haze pollution --- economic development quality --- environmental management --- PM2.5 concentration --- evolutionary game --- quadrilateral game --- air pollution --- pollution control policy --- PM2.5 --- spatiotemporal variation --- empirical orthogonal function --- continuous wavelet transform --- backward trajectory analysis --- joint governance region --- atrial fibrillation --- environmental factors --- binary logistic model --- sustainable development --- early warning --- design mobile laboratory campaign --- air pollution concentration --- population exposure to air pollutant --- air quality --- spatiotemporal characteristics --- urban land use --- coupled relationship --- Lanzhou City --- economic growth rate --- GDP per capita --- China --- digital economy --- industrial structure --- spatial spillover --- noise --- silence zone area --- GIS --- linear regression --- mechanical ventilation systems --- minimum ventilation level --- Korea housing --- CO2 concentration --- apartment ventilation --- construction industry --- sustainable development goals --- sustainable construction --- healthy living environment --- King Abdulaziz University --- GWR --- zero-carbon campus --- spatial heterogeneity --- O3 --- transmission pathways --- backward trajectory --- PSCF --- CWT --- global research trend --- SCI-Expanded database --- scientometrics --- halogenated gases --- climate change --- ozone depletion --- environmental regulations --- green technology innovation --- regional differences --- difference-in-differences --- urban form --- urbanization --- spatial autocorrelation --- sensitivity --- aerosols --- zero-out --- Iberian Peninsula --- carbon peak --- carbon neutrality --- export trade --- embodied carbon --- Logarithmic Mean Divisia Index --- random forests --- atmospheric circulation --- machine learning --- complex topography --- big-data intelligent system --- on-road vehicle emissions --- traffic monitoring --- hyperfine modelling --- real-time visualization --- decarbonization --- bituminous coal --- pollution source --- monitoring --- road traffic
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This book focuses on the up-to-date studies on the sustainability with changing climate and extremes. The main contributors discussed the changing climate and extreme events, as well as their impacts on natural and human dimension sustainability, including the incorporated social–ecologic and socioeconomic processes. Special attention is given to four main sections: natural disasters in agriculture; urban/rural ecosystem, tourism, and ecosystem service; extreme climate indices, and newly created dataset for climate change.
Research & information: general --- Environmental economics --- trade conflict --- carbon emissions --- import and export trade --- cooperative emission reduction --- meteorological hazards --- risk assessment --- spatial pattern --- population exposure --- Qinghai-Tibet Plateau --- climate change --- slope geohazards --- new geohazard clusters --- extreme cooling events --- Arctic Oscillation --- winter in China --- atmospheric circulation --- GPP --- CMIP6 --- ESM --- STA --- China --- warm days --- cold days --- warm nights --- cold nights --- hot days --- frost days --- compound drought and heatwave events --- complex network --- event synchronization --- atmospheric circulation patterns --- urban agglomeration --- drought --- heat wave --- flood --- GM (1, 1) --- Arctic --- universal thermal climate index (UTCI) --- spatial-temporal changes --- 1979–2019 --- ecosystem services trade-offs --- land-use change --- soil conservation --- carbon storage --- water yield --- precipitation gradient --- Loess Plateau --- climate hazards --- geospatial analysis --- urban adaptation --- risk management --- snow disaster --- risk zoning --- Heilongjiang Province --- precipitation --- model resolutions --- cold region of China --- spatiotemporal distribution --- spatiotemporal variation --- 1961–2019 --- high-resolution and high-quality precipitation data --- independent and non-independent test --- the 0.01° multi-source fusion precipitation product --- extreme precipitation event --- forest types --- NDVI --- AVHRR GIMMS --- temperature range --- precipitation range --- snow cover --- black carbon concentration --- radiative forcing --- northeast China --- high temperature --- mobile phone data --- impact factor --- Zhuhai City --- WRF model --- projection --- short-lived heatwave event --- long-lived heatwave event --- Yangtze River Basin --- central and western Pacific --- thermocline --- yellowfin tuna --- CPUE --- El Niño --- La Niña --- GAM model --- spring soil moisture --- impact mechanism --- Songnen Plain --- Sanjiang Plain --- maize --- diurnal temperature range --- fresh air index --- natural microclimate comfort index --- fresh air–natural microclimate comfort index --- scenic spots --- Fujian province --- extreme climate indices --- temporal and spatial dynamics --- linear trend --- climate abrupt change --- central China --- peanut drought --- Shandong Province --- natural disaster risk assessment principles --- dry-hot wind disaster --- Shandong province --- natural disaster risk assessment principle --- summer maize --- inter- and mixed cropping --- flowering period --- yield --- potato climatic productivity potential --- Inner Mongolia --- effect --- human mobility --- rainfall --- taxi GPS data --- community --- Zhuhai central areas --- citrus --- quality --- future projection --- state-owned forest farms --- human resource allocation --- industrial structure --- coordination and adaptation --- personal structure --- contiguous poverty-stricken areas --- rainstorms and droughts --- direct economic losses --- disaster-affected population --- drought and flood --- vulnerability --- risk prediction --- agroecosystem --- heatwaves --- population exposure change --- global warming --- 1.5 °C warming scenario --- 2.0 °C warming scenario --- n/a --- 1979-2019 --- 1961-2019 --- El Niño --- La Niña --- fresh air-natural microclimate comfort index
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