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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 --- n/a
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Droughts are one of the main extreme meteorological, and hydrological phenomena, which influence both the functioning of ecosystems, and many important sectors of human economic activity. Throughout the world, various direct changes in meteorological, and climatic conditions, such as: air temperature, humidity, and evapotranspiration can be observed. They have a significant influence upon the shaping of the phenomenon of drought. Land cover and land use can also be indirect factors influencing evapotranspiration, and, by the same token, the water balance in the water catchment area. They can also influence the course of the process of the drought. The observed climate change, manifested mainly by increases in temperature, in turn, influencing evapotranspiration, may cause intensification in terms of both the degree and frequency of droughts. Droughts related to changes in the hydrological regime, and to the decrease in water resources. Its results can be observed in various sectors, related, among others, to a demand for water for people, agriculture and the Industry. It can also prove problematic for water ecosystems. To reflect the aforementioned information, a reasonable drought risk management is indispensable in order to ease the water demand related problems in various sectors of human activity. This book presents original research on various drought indicators, modern measurement techniques used, among others, for monitoring and predicting droughts, drought indicator trends, the impact of insufficient precipitation on human activity in the context of climate change, and examples of modern solutions devised to prevent water shortages.
Technology: general issues --- History of engineering & technology --- extensive green roofs --- climate change --- summer drought --- urban vegetation --- phytomass --- fertilizer --- biodiversity --- blue green infrastructure --- pan evaporation --- ANN --- WANN --- SVM-RF --- SVM-LF --- Pusa station --- drought --- SPI --- run theory --- Sen’s estimator --- Mann–Kendall --- Wadi Cheliff Basin --- water stress --- soil moisture --- atmospheric evaporative demand --- eddy covariance --- gross primary productivity --- meteorological drought --- agricultural drought --- atmospheric circulation --- elementary circulation mechanism (ECM) --- information entropy --- atmospheric blocking --- hydrological drought --- trends --- central Poland --- lotic systems --- refuge habitats --- fish --- risk management --- forecasting --- ARIMA --- Standardized Precipitation Evapotranspiration Index (SPEI) --- mitigation --- atmospheric drought --- forest drought --- Carpathian Mts. --- beech --- vertical climate zones --- Copernicus Sentinel-1 --- electrical resistivity tomography --- expansive clay --- InSAR --- shrink-swell risk --- SMOS surface soil moisture --- wavelet analysis --- precipitation --- precipitation deficit --- climatic water balance --- n/a --- Sen's estimator --- Mann-Kendall
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
Droughts are one of the main extreme meteorological, and hydrological phenomena, which influence both the functioning of ecosystems, and many important sectors of human economic activity. Throughout the world, various direct changes in meteorological, and climatic conditions, such as: air temperature, humidity, and evapotranspiration can be observed. They have a significant influence upon the shaping of the phenomenon of drought. Land cover and land use can also be indirect factors influencing evapotranspiration, and, by the same token, the water balance in the water catchment area. They can also influence the course of the process of the drought. The observed climate change, manifested mainly by increases in temperature, in turn, influencing evapotranspiration, may cause intensification in terms of both the degree and frequency of droughts. Droughts related to changes in the hydrological regime, and to the decrease in water resources. Its results can be observed in various sectors, related, among others, to a demand for water for people, agriculture and the Industry. It can also prove problematic for water ecosystems. To reflect the aforementioned information, a reasonable drought risk management is indispensable in order to ease the water demand related problems in various sectors of human activity. This book presents original research on various drought indicators, modern measurement techniques used, among others, for monitoring and predicting droughts, drought indicator trends, the impact of insufficient precipitation on human activity in the context of climate change, and examples of modern solutions devised to prevent water shortages.
extensive green roofs --- climate change --- summer drought --- urban vegetation --- phytomass --- fertilizer --- biodiversity --- blue green infrastructure --- pan evaporation --- ANN --- WANN --- SVM-RF --- SVM-LF --- Pusa station --- drought --- SPI --- run theory --- Sen’s estimator --- Mann–Kendall --- Wadi Cheliff Basin --- water stress --- soil moisture --- atmospheric evaporative demand --- eddy covariance --- gross primary productivity --- meteorological drought --- agricultural drought --- atmospheric circulation --- elementary circulation mechanism (ECM) --- information entropy --- atmospheric blocking --- hydrological drought --- trends --- central Poland --- lotic systems --- refuge habitats --- fish --- risk management --- forecasting --- ARIMA --- Standardized Precipitation Evapotranspiration Index (SPEI) --- mitigation --- atmospheric drought --- forest drought --- Carpathian Mts. --- beech --- vertical climate zones --- Copernicus Sentinel-1 --- electrical resistivity tomography --- expansive clay --- InSAR --- shrink-swell risk --- SMOS surface soil moisture --- wavelet analysis --- precipitation --- precipitation deficit --- climatic water balance --- n/a --- Sen's estimator --- Mann-Kendall
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
Choose an application
Droughts are one of the main extreme meteorological, and hydrological phenomena, which influence both the functioning of ecosystems, and many important sectors of human economic activity. Throughout the world, various direct changes in meteorological, and climatic conditions, such as: air temperature, humidity, and evapotranspiration can be observed. They have a significant influence upon the shaping of the phenomenon of drought. Land cover and land use can also be indirect factors influencing evapotranspiration, and, by the same token, the water balance in the water catchment area. They can also influence the course of the process of the drought. The observed climate change, manifested mainly by increases in temperature, in turn, influencing evapotranspiration, may cause intensification in terms of both the degree and frequency of droughts. Droughts related to changes in the hydrological regime, and to the decrease in water resources. Its results can be observed in various sectors, related, among others, to a demand for water for people, agriculture and the Industry. It can also prove problematic for water ecosystems. To reflect the aforementioned information, a reasonable drought risk management is indispensable in order to ease the water demand related problems in various sectors of human activity. This book presents original research on various drought indicators, modern measurement techniques used, among others, for monitoring and predicting droughts, drought indicator trends, the impact of insufficient precipitation on human activity in the context of climate change, and examples of modern solutions devised to prevent water shortages.
Technology: general issues --- History of engineering & technology --- extensive green roofs --- climate change --- summer drought --- urban vegetation --- phytomass --- fertilizer --- biodiversity --- blue green infrastructure --- pan evaporation --- ANN --- WANN --- SVM-RF --- SVM-LF --- Pusa station --- drought --- SPI --- run theory --- Sen's estimator --- Mann-Kendall --- Wadi Cheliff Basin --- water stress --- soil moisture --- atmospheric evaporative demand --- eddy covariance --- gross primary productivity --- meteorological drought --- agricultural drought --- atmospheric circulation --- elementary circulation mechanism (ECM) --- information entropy --- atmospheric blocking --- hydrological drought --- trends --- central Poland --- lotic systems --- refuge habitats --- fish --- risk management --- forecasting --- ARIMA --- Standardized Precipitation Evapotranspiration Index (SPEI) --- mitigation --- atmospheric drought --- forest drought --- Carpathian Mts. --- beech --- vertical climate zones --- Copernicus Sentinel-1 --- electrical resistivity tomography --- expansive clay --- InSAR --- shrink-swell risk --- SMOS surface soil moisture --- wavelet analysis --- precipitation --- precipitation deficit --- climatic water balance
Listing 1 - 6 of 6 |
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