期刊
EARTH SURFACE PROCESSES AND LANDFORMS
卷 47, 期 1, 页码 58-81出版社
WILEY
DOI: 10.1002/esp.5275
关键词
climatic change; fluvial palaeohydrology; megaflooding; meta-analysis; river engineering; rivers
Professor Kenneth J. Gregory made significant contributions to research in fluvial palaeohydrology, leading to rapid international growth and advancements in research methods and techniques. Current research focuses on quantitative modeling, correlation of fluvial events with other records, and applications to river engineering and management. Future developments will involve interdisciplinary collaboration and applications to practical problems arising from climate change and environmental hazards.
Professor Kenneth J. Gregory was a major contributor to fluvial palaeohydrological research. Beginning in the early 1980s, under his influence, rapid international growth of the discipline was accompanied by major advances in research methods and techniques. Current research emphases include applications of quantitative modelling and meta-analysis; the correlation of fluvial events to other records, notably palaeolacustine records; and methods for application to diverse issues of river engineering and management. The international expansion and detailed analyses of fluvial palaeohydrology are exemplified by recent studies done in Fennoscandia, the Mediterranean region, India, Israel, Australia, Pacific humid island arcs, and South America. Future developments will involve expanded work with other academic disciplines, such as archaeology, as well as applications to practical problems arising from future climatic change and related environmental hazards, particularly extremes. Remote sensing and high-resolution topography data and tools (e.g. LiDAR) will facilitate new discoveries of ancient exceptional flooding phenomena (megaflooding and superfloods) on Earth and on the palaeofluvial forms of Earth-like planets. New opportunities will also arise from the increased use of machine learning and artificial intelligence for analyses of 'big data'.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据