Kun Yan – författare

This thesis aims to explore the potential and limitations of low-cost, space-borne data in flood inundation modelling under unavoidable, intrinsic uncertainty. In particular, the potential in supporting hydraulic modelling of floods of: NASA’s SRTM (Shuttle Radar Topographic Mission) topographic data, SAR (Synthetic Aperture Radar) satellite imagery of flood extents and radar altimetry of water levels are analyzed in view of inflow and parametric uncertainty.To this end, research work has been carried out by either following a model calibration-evaluation approach or by explicitly considering major sources of uncertainty within a Monte Carlo framework. To generalize our findings, three river reaches with various scales (from medium to large) and topographic characteristics (e.g. valley-filling, two-level embankments, large and flat floodplain) are used as test sites. Lastly, an application of SRTM-based flood modelling of a large river is conducted to highlight the challenges of predictions in ungauged basins.This research indicates the potential and limitations of low-cost, space-borne data in supporting flood inundation modelling under uncertainty, including findings related to the usefulness of these data according to modelling purpose (e.g. re-insurance, planning, design), characteristics of the river and considerations of uncertainty. The upcoming satellite missions, which could potentially impact the way we model flood inundation patters, are also discussed.

This thesis aims to explore the potential and limitations of low-cost, space-borne data in flood inundation modelling under unavoidable, intrinsic uncertainty. In particular, the potential in supporting hydraulic modelling of floods of: NASA’s SRTM (Shuttle Radar Topographic Mission) topographic data, SAR (Synthetic Aperture Radar) satellite imagery of flood extents and radar altimetry of water levels are analyzed in view of inflow and parametric uncertainty.To this end, research work has been carried out by either following a model calibration-evaluation approach or by explicitly considering major sources of uncertainty within a Monte Carlo framework. To generalize our findings, three river reaches with various scales (from medium to large) and topographic characteristics (e.g. valley-filling, two-level embankments, large and flat floodplain) are used as test sites. Lastly, an application of SRTM-based flood modelling of a large river is conducted to highlight the challenges of predictions in ungauged basins.This research indicates the potential and limitations of low-cost, space-borne data in supporting flood inundation modelling under uncertainty, including findings related to the usefulness of these data according to modelling purpose (e.g. re-insurance, planning, design), characteristics of the river and considerations of uncertainty. The upcoming satellite missions, which could potentially impact the way we model flood inundation patters, are also discussed.

This study systematically investigates the development process, major characteristics and weak links of China's poverty alleviation experience and conducts a comparative analysis of poverty alleviation cases. It also accurately presents the internal logic and core elements of China's poverty alleviation theory and taking the Chinese experience of poverty alleviation refines the "Two Threads One Force" theoretical framework to make a basic judgment of the "China model" for poverty alleviation. It also presents the rationale and plans for responding to new challenges to achieve poverty alleviation goals, which will enhance the welfare of the people and promote social progress and national prosperity.

This study systematically investigates the development process, major characteristics and weak links of China's poverty alleviation experience and conducts a comparative analysis of poverty alleviation cases. It also accurately presents the internal logic and core elements of China's poverty alleviation theory and taking the Chinese experience of poverty alleviation refines the "Two Threads One Force" theoretical framework to make a basic judgment of the "China model" for poverty alleviation. It also presents the rationale and plans for responding to new challenges to achieve poverty alleviation goals, which will enhance the welfare of the people and promote social progress and national prosperity.

This book explores how Chinese students abroad may suffer stress, and how they conceptualize and adapt to stress in the American higher education environment. To do so, it adopts a mixed methods design: the sequential explanatory design, which is characterized by the collection and analysis of quantitative data followed by the collection and analysis of qualitative data.  To date, no empirical research has focused solely upon understanding the stress and coping processes of Chinese students in the United States. This book addresses that gap, enriching the body of literature on international students’ adaptation process in foreign countries.