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Assimilation of Remote Sensing Data into Earth System Models

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ISBN: 9783039216406 / 9783039216413 Year: Pages: 236 DOI: 10.3390/books978-3-03921-641-3 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General)
Added to DOAB on : 2019-12-09 11:49:16
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Abstract

In the Earth sciences, a transition is currently occurring in multiple fields towards an integrated Earth system approach, with applications including numerical weather prediction, hydrological forecasting, climate impact studies, ocean dynamics estimation and monitoring, and carbon cycle monitoring. These approaches rely on coupled modeling techniques using Earth system models that account for an increased level of complexity of the processes and interactions between atmosphere, ocean, sea ice, and terrestrial surfaces. A crucial component of Earth system approaches is the development of coupled data assimilation of satellite observations to ensure consistent initialization at the interface between the different subsystems. Going towards strongly coupled data assimilation involving all Earth system components is a subject of active research. A lot of progress is being made in the ocean–atmosphere domain, but also over land. As atmospheric models now tend to address subkilometric scales, assimilating high spatial resolution satellite data in the land surface models used in atmospheric models is critical. This evolution is also challenging for hydrological modeling. This book gathers papers reporting research on various aspects of coupled data assimilation in Earth system models. It includes contributions presenting recent progress in ocean–atmosphere, land–atmosphere, and soil–vegetation data assimilation.

Flood Forecasting Using Machine Learning Methods

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ISBN: 9783038975489 Year: Pages: 376 DOI: 10.3390/books978-3-03897-549-6 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering --- Environmental Engineering
Added to DOAB on : 2019-03-08 11:42:05
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This book is a printed edition of the Special Issue Flood Forecasting Using Machine Learning Methods that was published in Water

Keywords

data scarce basins --- runoff series --- data forward prediction --- ensemble empirical mode decomposition (EEMD) --- stopping criteria --- method of tracking energy differences (MTED) --- deep learning --- convolutional neural networks --- superpixel --- urban water bodies --- high-resolution remote-sensing images --- monthly streamflow forecasting --- artificial neural network --- ensemble technique --- phase space reconstruction --- empirical wavelet transform --- hybrid neural network --- flood forecasting --- self-organizing map --- bat algorithm --- particle swarm optimization --- flood routing --- Muskingum model --- machine learning methods --- St. Venant equations --- rating curve method --- nonlinear Muskingum model --- hydrograph predictions --- flood routing --- Muskingum model --- hydrologic models --- improved bat algorithm --- Wilson flood --- Karahan flood --- flood susceptibility modeling --- ANFIS --- cultural algorithm --- bees algorithm --- invasive weed optimization --- Haraz watershed --- ANN-based models --- flood inundation map --- self-organizing map (SOM) --- recurrent nonlinear autoregressive with exogenous inputs (RNARX) --- ensemble technique --- artificial neural networks --- uncertainty --- streamflow predictions --- sensitivity --- flood forecasting --- extreme learning machine (ELM) --- backtracking search optimization algorithm (BSA) --- the upper Yangtze River --- deep learning --- LSTM network --- water level forecast --- the Three Gorges Dam --- Dongting Lake --- Muskingum model --- wolf pack algorithm --- parameters --- optimization --- flood routing --- flash-flood --- precipitation-runoff --- forecasting --- lag analysis --- random forest --- machine learning --- flood prediction --- flood forecasting --- hydrologic model --- rainfall–runoff, hybrid & --- ensemble machine learning --- artificial neural network --- support vector machine --- natural hazards & --- disasters --- adaptive neuro-fuzzy inference system (ANFIS) --- decision tree --- survey --- classification and regression trees (CART), data science --- big data --- artificial intelligence --- soft computing --- extreme event management --- time series prediction --- LSTM --- rainfall-runoff --- flood events --- flood forecasting --- data assimilation --- particle filter algorithm --- micro-model --- Lower Yellow River --- ANN --- hydrometeorology --- flood forecasting --- real-time --- postprocessing --- machine learning --- early flood warning systems --- hydroinformatics --- database --- flood forecast --- Google Maps

The Challenges of Water Management and Governance in Cities

Authors: --- --- ---
ISBN: 9783039211500 / 9783039211517 Year: Pages: 314 DOI: 10.3390/books978-3-03921-151-7 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General)
Added to DOAB on : 2019-12-09 11:49:15
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Global population growth is urban growth and, therefore, most of the water-related challenges and solutions reside in cities. Unless water management and water governance processes are significantly improved within the next decade or so, cities are likely to face serious and prolonged water insecurity, urban floods, and/or heat stress, which may result in social instability and, ultimately, massive migration. Aging water infrastructure, one of the most expensive infrastructures in cities, is a relevant challenge in order to address Sustainable Development Goal (SDG) 6: clean water and sanitation, SDG 11: sustainable cities and communities, and SDG 13: climate action. The choice of good governance arrangements has important consequences for economic performance, for the well-being of citizens, and for the quality of life in urban areas. The better governance arrangements work in coordinating policies across jurisdictions and policy fields, the better the outcomes. Rapidly-changing global conditions will make future water governance more complex than ever before in human history, and expectations are that water governance and water management will change more during the next 20 years compared to the past 100 years. In this Special Issue of Water, the focus will be on practical concepts and tools for water management and water governance, with a focus on cities.

Keywords

Integrated Water Resources Management --- water management sustainability --- urban resilience --- urban water cycle --- water governance --- water-reuse --- governance capacity --- water management --- water scarcity --- Sponge City --- water ecology --- storm water management --- flood control --- resilience --- rainfall-runoff --- storm water control measure --- SuDS --- urban drainage --- urban landscape --- urban planning --- flood risk management --- flood resilience --- governance strategies --- climate change --- assessment framework --- sustainability assessment --- baseline assessment --- co-design --- stakeholder involvement --- wastewater management --- Cape Town --- City Blueprint Approach --- water governance --- water scarcity --- water sensitive cities --- climate change adaptation --- stormwater reservoir --- Generalized Likelihood Uncertainty Estimation (GLUE) --- design rainfall event --- Storm Water Management Model (SWMM) --- coordination --- water supply --- social network analysis --- climate change --- IHP --- intergovernmental --- science and technology --- sustainability --- UNESCO --- water management --- water security --- Urban Water Management Programme --- water governance --- infrastructure --- urban water management --- indicators --- SDGs --- stakeholder participation --- water policy --- rainwater harvesting --- footprint --- lifecycle analysis --- total cost of ownership --- sustainability --- urban water management --- drinking water --- city networks --- climate change --- ICLEI --- Sustainable Development Goals (SDGs) --- urban water management --- use-attainment --- social network analysis --- urban planning --- governance --- social infrastructure --- cost of inaction --- urban pluvial flooding --- flood damage assessment --- flood risk --- greenhouse gas emissions --- decentralized water reclamation with resource recovery --- Water-Energy-Food Nexus --- climate change mitigation --- water governance --- urban water management --- resilience --- sustainable development goals

Climate Variability and Climate Change Impacts on Land Surface, Hydrological Processes and Water Management

Authors: --- ---
ISBN: 9783039215072 / 9783039215089 Year: Pages: 460 DOI: 10.3390/books978-3-03921-508-9 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Environmental Sciences
Added to DOAB on : 2019-12-09 11:49:15
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During the last several decades, Earth´s climate has undergone significant changes due to anthropogenic global warming, and feedbacks to the water cycle. Therefore, persistent efforts are required to improve our understanding of hydrological processes and to engage in efficient water management strategies that explicitly consider changing environmental conditions. The twenty-four contributions in this book have broadly addressed topics across four major research areas: (1) Climate and land-use change impacts on hydrological processes, (2) hydrological trends and causality analysis faced in hydrology, (3) hydrological model simulations and predictions, and (4) reviews on water prices and climate extremes. The broad spectrum of international contributions to the Special Issue indicates that climate change impacts on water resources analysis attracts global attention. We hope that the collection of articles presented here can provide scientists, policymakers and stakeholders alike with insights that support sustainable decision-making in the face of climate change and increasingly scarce environmental resources.

Keywords

hydrological drought --- Three Gorges Dam --- GRACE --- compound extremes --- climate change --- multivariate distribution --- quantile regression --- indicator --- PUB --- rainfall-runoff experiments --- distributed hydrological model --- Hydro-Informatic Modelling System (HIMS) --- freshwater availability --- runoff --- simulated rainfall --- plot scale --- litter layer --- topsoil --- karst --- Yellow River Delta --- estuarine wetlands --- spatiotemporal change analysis --- remote sensing --- intra-annual climate change --- variation in percentage of flood-season precipitation --- natural streamflow variation --- contribution and sensitivity analysis --- Yellow River --- highland agricultural field area --- diffuse pollutant discharge --- multiple regression model --- climate change --- jackknife validation --- water security --- water pricing --- sustainable water management --- trends and patterns --- economics --- precipitation --- air temperature --- river discharge --- Mann-Kendall test --- Selenga river basin --- Lake Baikal basin --- Mongolia --- snowfall to precipitation ratio --- WRF model --- arid region --- Xinjiang --- water resources management --- climate change --- LULCC --- Budyko equation --- streamflow --- drought --- climate variability --- land surface change --- runoff --- Budyko framework --- elasticity coefficient --- Weihe River Basin --- flood --- streamflow --- CMIP5 --- climate change --- HEC-RAS --- trend analysis --- precipitation --- temperature --- eco-region --- Ethiopia --- Three Gorges Project --- dam --- runoff changes --- flood control --- Yangtze River --- benefits --- evapotranspiration --- Pan evaporation --- TFPW-MK --- Haihe River Basin --- hydrological simulation --- quantitative analysis --- SWAT model --- land use/cover change --- climate change --- scenario simulation --- Climate variability --- Large-scale climate indices --- Reservoir inflow forecasting --- Ensemble empirical mode decomposition --- Time series model --- Artificial intelligence model --- grid-based --- HRU-based --- SHM --- SWAT --- large scale basin --- climate change --- human activities --- power operations --- cascade joint operation chart --- inter-basin water transfer project --- climate change --- MATOPIBA agricultural frontier --- water security --- hydroclimatic analysis --- water conflicts --- average annual runoff --- runoff map --- hydrological model --- GIS --- DPR Korea --- streamflow reduction --- climate change --- coal mining --- SWCM --- coal mining concentrated watershed --- the Loess Plateau --- hydrology --- land cover --- land use and climate change --- water resources management --- macro scale modeling --- climate variability --- climate change --- land use change --- hydrological processes --- trends --- water management --- model --- predictions

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eng (4)


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2019 (4)