Yang Hong – författare

This monograph highlights the educational experiences of rural children who are 'left behind' by their migrant worker parents in China, analyzing how this situation impacts on their aspirations and self-identity. Via an ethnographic and qualitative case study of a rural school in southwest China, the author presents the real lives of these disadvantaged children along with their challenges and needs, and provides an in depth understanding of how being ‘left behind’ impacts on their future aspirations. Building on the sociological theories of Pierre Bourdieu, the author makes an original contribution by combining seemingly incompatible disciplinary perspectives, such as cultural capital from sociology, rational action from behavioral economics, and self-efficacy from psychology. Hence, the book endeavors to transfer these Western theories to an Eastern context and demonstrates cultural nuances that are not always captured when applied in the West.The book will attract academic scholars and postgraduate students in the area of socially disadvantaged children and young people as well as those who are working on youth studies and rural education.

This monograph highlights the educational experiences of rural children who are 'left behind' by their migrant worker parents in China, analyzing how this situation impacts on their aspirations and self-identity. Via an ethnographic and qualitative case study of a rural school in southwest China, the author presents the real lives of these disadvantaged children along with their challenges and needs, and provides an in depth understanding of how being ‘left behind’ impacts on their future aspirations. Building on the sociological theories of Pierre Bourdieu, the author makes an original contribution by combining seemingly incompatible disciplinary perspectives, such as cultural capital from sociology, rational action from behavioral economics, and self-efficacy from psychology. Hence, the book endeavors to transfer these Western theories to an Eastern context and demonstrates cultural nuances that are not always captured when applied in the West.The book will attract academic scholars and postgraduate students in the area of socially disadvantaged children and young people as well as those who are working on youth studies and rural education.

Applications of remote sensing technology for monitoring and predicting water-related hazards Water-related hazards such as floods and droughts have serious impacts on society. Their incidence has increased in recent decades, a trend set to continue with ongoing climate change. Adaptation and mitigation measures require accurate detection, monitoring, and forecasting, much of which comes from remote sensing technologies. Remote Sensing of Water-Related Hazards takes an interdisciplinary approach, presenting recent advances in the available data, sensors, models, and indicators developed for monitoring and prediction. Volume highlights include: Progress in remote sensing of precipitation, storms, and tornadosDifferent techniques for flood mapping, forecasting, and early warningIntegrated approach for predicting flood and landslide cascading hazardsSatellite monitoring of water cycle variation, water scarcity, and drought conditionsMulti-indicator and multi-sensor approaches for quantifying drought impactsThe American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.

Multiscale Hydrologic Remote Sensing: Perspectives and Applications integrates advances in hydrologic science and innovative remote sensing technologies. Raising the visibility of interdisciplinary research on water resources, it offers a suite of tools and platforms for investigating spatially and temporally continuous hydrological variables and processes. Illustrated in color, this book examines components in the hydrologic cycle with a range of space and time scales. Organized into five parts, it explores hydrologic remote sensing at the local, urban, watershed, and regional scales, as well as the continental and global scale. Contributors address questions such asWhat are the local, watershed, and regional differences in soil moisture and evapotranspiration when using different measurement methods and models?How can we fit the scenarios of global warming potential and the remote sensing products of snow water equivalent into hydrologic modeling to address the changing flood and drought conditions in a watershed?How can we fuse the images collected by different satellites to improve the accuracy of predictions at the global scale?Tackling these and many other topics, the book presents new techniques and methods for spaceborne, airborne, and ground-based measurements and mathematical modeling. It also discusses remote sensing image processing tools and features a wealth of real-world applications and case studies.This book is a useful reference for students, professionals, scientists, and policy makers involved in the study of global change, hydrologic science, meteorology, climatology, biology, ecology, and the agricultural and forest sciences. It shows how hydrologic remote sensing technologies can be used more effectively to explore global change impacts and improve the design of hydrologic observatories.

Radar Hydrology: Principles, Models, and Applications provides graduate students, operational forecasters, and researchers with a theoretical framework and practical knowledge of radar precipitation estimation. The only text on the market solely devoted to radar hydrology, this comprehensive reference:Begins with a brief introduction to radarFocuses on the processing of radar data to arrive at accurate estimates of rainfallAddresses advanced radar sensing principles and applicationsCovers radar technologies for observing each component of the hydrologic cycleExamines state-of-the-art hydrologic models and their inputs, parameters, state variables, calibration procedures, and outputsDiscusses contemporary approaches in data assimilationConcludes with methods, case studies, and prediction system designIncludes downloadable MATLAB® contentFlooding is the #1 weather-related natural disaster worldwide. Radar Hydrology: Principles, Models, and Applications aids in understanding the physical systems and detection tools, as well as designing prediction systems.

Multiscale Hydrologic Remote Sensing: Perspectives and Applications integrates advances in hydrologic science and innovative remote sensing technologies. Raising the visibility of interdisciplinary research on water resources, it offers a suite of tools and platforms for investigating spatially and temporally continuous hydrological variables and processes. Illustrated in color, this book examines components in the hydrologic cycle with a range of space and time scales. Organized into five parts, it explores hydrologic remote sensing at the local, urban, watershed, and regional scales, as well as the continental and global scale. Contributors address questions such asWhat are the local, watershed, and regional differences in soil moisture and evapotranspiration when using different measurement methods and models?How can we fit the scenarios of global warming potential and the remote sensing products of snow water equivalent into hydrologic modeling to address the changing flood and drought conditions in a watershed?How can we fuse the images collected by different satellites to improve the accuracy of predictions at the global scale?Tackling these and many other topics, the book presents new techniques and methods for spaceborne, airborne, and ground-based measurements and mathematical modeling. It also discusses remote sensing image processing tools and features a wealth of real-world applications and case studies.This book is a useful reference for students, professionals, scientists, and policy makers involved in the study of global change, hydrologic science, meteorology, climatology, biology, ecology, and the agricultural and forest sciences. It shows how hydrologic remote sensing technologies can be used more effectively to explore global change impacts and improve the design of hydrologic observatories.

Radar Hydrology: Principles, Models, and Applications provides graduate students, operational forecasters, and researchers with a theoretical framework and practical knowledge of radar precipitation estimation. The only text on the market solely devoted to radar hydrology, this comprehensive reference:Begins with a brief introduction to radarFocuses on the processing of radar data to arrive at accurate estimates of rainfallAddresses advanced radar sensing principles and applicationsCovers radar technologies for observing each component of the hydrologic cycleExamines state-of-the-art hydrologic models and their inputs, parameters, state variables, calibration procedures, and outputsDiscusses contemporary approaches in data assimilationConcludes with methods, case studies, and prediction system designIncludes downloadable MATLAB® contentFlooding is the #1 weather-related natural disaster worldwide. Radar Hydrology: Principles, Models, and Applications aids in understanding the physical systems and detection tools, as well as designing prediction systems.