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This Special Issue is a platform to fill the gaps in drought risk analysis with field experience and expertise. It covers (1) robust index development for effective drought monitoring; (2) risk analysis framework development and early warning systems; (3) impact investigations on hydrological and agricultural sectors; (4) environmental change impact analyses. The articles in the Special Issue cover a wide geographic range, across China, Taiwan, Korea, and the Indo-China peninsula, which covers many contrasting climate conditions. Hence, the results have global implications: the data, analysis/modeling, methodologies, and conclusions lay a solid foundation for enhancing our scientific knowledge of drought mechanisms and relationships to various environmental conditions.

History of engineering & technology --- extreme spring drought --- atmospheric teleconnection patterns --- drought prediction --- China --- SPI --- reference precipitation --- reference period --- climate change --- drought --- GAMLSS --- nonstationarity --- meteorological drought --- standardized precipitation evapotranspiration index --- climate variability --- seasonal drought --- drought return period --- extreme drought --- Indochina Peninsula --- Indian Ocean Dipole --- intentionally biased bootstrap method --- drought risk --- human activities --- quantitative attribution --- artificial neural network --- stochastic model --- ARIMA model --- drought forecasting --- southern Taiwan --- bivariate frequency analysis --- hydrologic risk --- global warming --- maize yield --- Songliao Plain maize belt --- comprehensive drought monitoring --- Hubei Province --- multivariate --- multisource data --- assessment --- forecasting

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This Special Issue is a platform to fill the gaps in drought risk analysis with field experience and expertise. It covers (1) robust index development for effective drought monitoring; (2) risk analysis framework development and early warning systems; (3) impact investigations on hydrological and agricultural sectors; (4) environmental change impact analyses. The articles in the Special Issue cover a wide geographic range, across China, Taiwan, Korea, and the Indo-China peninsula, which covers many contrasting climate conditions. Hence, the results have global implications: the data, analysis/modeling, methodologies, and conclusions lay a solid foundation for enhancing our scientific knowledge of drought mechanisms and relationships to various environmental conditions.

History of engineering & technology --- extreme spring drought --- atmospheric teleconnection patterns --- drought prediction --- China --- SPI --- reference precipitation --- reference period --- climate change --- drought --- GAMLSS --- nonstationarity --- meteorological drought --- standardized precipitation evapotranspiration index --- climate variability --- seasonal drought --- drought return period --- extreme drought --- Indochina Peninsula --- Indian Ocean Dipole --- intentionally biased bootstrap method --- drought risk --- human activities --- quantitative attribution --- artificial neural network --- stochastic model --- ARIMA model --- drought forecasting --- southern Taiwan --- bivariate frequency analysis --- hydrologic risk --- global warming --- maize yield --- Songliao Plain maize belt --- comprehensive drought monitoring --- Hubei Province --- multivariate --- multisource data --- assessment --- forecasting

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This book addresses contemporary statistical inference issues when no or minimal assumptions on the nature of studied phenomenon are imposed. Information theory methods play an important role in such scenarios. The approaches discussed include various high-dimensional regression problems, time series and dependence analyses.

high-dimensional time series --- nonstationarity --- network estimation --- change points --- kernel estimation --- high-dimensional regression --- loss function --- random predictors --- misspecification --- consistent selection --- subgaussianity --- generalized information criterion --- robustness --- statistical learning theory --- information theory --- entropy --- parameter estimation --- learning systems --- privacy --- prediction methods --- misclassification risk --- model misspecification --- penalized estimation --- supervised classification --- variable selection consistency --- archimedean copula --- consistency --- estimation --- extreme-value copula --- tail dependency --- multivariate analysis --- conditional mutual information --- CMI --- information measures --- nonparametric variable selection criteria --- gaussian mixture --- conditional infomax feature extraction --- CIFE --- joint mutual information criterion --- JMI --- generative tree model --- Markov blanket --- minimum distance estimation --- maximum likelihood estimation --- influence functions --- adaptive splines --- B-splines --- right-censored data --- semiparametric regression --- synthetic data transformation --- time series --- n/a

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Flooding is widely recognized as a global threat, due to the extent and magnitude of damage it causes around the world each year. Reducing flood risk and improving flood resilience are two closely related aspects of flood management. This book presents the latest advances in flood risk and resilience management on the following themes: hazard and risk analysis, flood behaviour analysis, assessment frameworks and metrics and intervention strategies. It can help the reader to understand the current challenges in flood management and the development of sustainable flood management interventions to reduce the social, economic and environmental consequences from flooding.

nonstationarity --- univariate model --- GAMLSS --- bivariate model --- copulas --- floodway --- optimization --- particle swarm optimization --- HEC-RAS --- flood mitigation --- hydraulic modeling --- flood risk perception --- natural flood management --- disaster mitigation --- flood-prone city --- questionnaire survey --- flood hazard --- land use --- urban growth --- Villahermosa --- architecture modelling flood resilience --- resilience engineering --- system-of-systems water systems --- multi-risk matrix --- resilience --- flood risk --- multi-hazard --- risk reduction --- flood resilience index --- flood resilience analysis --- urban floods --- flood risk assessment --- flood inundation modelling --- Artificial Intelligence --- machine learning --- flood --- preparedness --- flood resilience --- blue-green infrastructure --- flood risk management --- sustainable --- drainage systems --- systems --- flood control materials --- intelligent warehousing --- location allocation --- multi-objective optimization --- drone applications --- deployment time --- monitoring --- flood modelling --- evacuation --- rescue --- management strategy --- metrics

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This book addresses contemporary statistical inference issues when no or minimal assumptions on the nature of studied phenomenon are imposed. Information theory methods play an important role in such scenarios. The approaches discussed include various high-dimensional regression problems, time series and dependence analyses.

Technology: general issues --- History of engineering & technology --- Mechanical engineering & materials --- high-dimensional time series --- nonstationarity --- network estimation --- change points --- kernel estimation --- high-dimensional regression --- loss function --- random predictors --- misspecification --- consistent selection --- subgaussianity --- generalized information criterion --- robustness --- statistical learning theory --- information theory --- entropy --- parameter estimation --- learning systems --- privacy --- prediction methods --- misclassification risk --- model misspecification --- penalized estimation --- supervised classification --- variable selection consistency --- archimedean copula --- consistency --- estimation --- extreme-value copula --- tail dependency --- multivariate analysis --- conditional mutual information --- CMI --- information measures --- nonparametric variable selection criteria --- gaussian mixture --- conditional infomax feature extraction --- CIFE --- joint mutual information criterion --- JMI --- generative tree model --- Markov blanket --- minimum distance estimation --- maximum likelihood estimation --- influence functions --- adaptive splines --- B-splines --- right-censored data --- semiparametric regression --- synthetic data transformation --- time series --- n/a