TESTING MODELS FOR RIVER AVULSION STYLE WITH REMOTE SENSING DATA AND NUMERICAL SIMULATIONS

GSTDTAP

项目编号	1911321
	TESTING MODELS FOR RIVER AVULSION STYLE WITH REMOTE SENSING DATA AND NUMERICAL SIMULATIONS
	Doug Edmonds (Principal Investigator)
主持机构	Indiana University
项目开始年	2019
	2019-08-01
项目结束日期	2022-07-31
资助机构	US-NSF
项目类别	Standard Grant
项目经费	299831(USD)
国家	美国
语种	英语
英文摘要	One of the most dramatic, yet rarely witnessed, events is when a river avulses (or moves) to a new spot in a floodplain. River avulsions can be hazardous because they move incredible volumes of sediment and cause extensive flooding. Despite this, it is not known why some avulsions are hazardous and others are not. This research will develop new remote sensing methods to detect avulsions and test theories using numerical modeling for why some avulsions are large and create significant landscape change and floods, and others are small. The team will engage in training undergraduate and graduate students in cross-disciplinary methods, and also use the research results to develop new science curriculum for children in upper elementary to middle school grades that is aimed at increasing likelihood of pursuing Earth Science at advanced levels. The proposed research aims to advance the science of river avulsions by using the remote sensing record and numerical simulations to test models for how avulsions move across the floodplain. The team will test if avulsion style changes moving downstream; preliminary data suggests that near the mountain front avulsions tend to reoccupy older channels, while those farther away tend to create their own channels. This arises because sediment size decreases downstream, and finer sediment is more easily transported overbank into the floodplain, filling abandoned channels, and forcing avulsions to create new channels. The hypothesis will be tested by 1) detecting avulsions in modern foreland basins by using big data remote sensing tools, e.g., Google Earth Engine, to search through Landsat data, 2) quantifying avulsion tendency to reoccupy or create their own channel with our fingerprinting algorithm that isolates the area disturbed by the avulsion, and 3) building a cellular avulsion model that includes downstream fining and overbank sedimentation. The model will be used to test the connection between downstream fining and avulsion behavior. This award is cofunded by the Geomorphology and Land-use Dynamics (GLD) and Prediction of and Resilience against Extreme Events (PREEVENTS) programs. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
文献类型	项目
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/213605
专题	环境与发展全球科技态势
推荐引用方式 GB/T 7714	Doug Edmonds .TESTING MODELS FOR RIVER AVULSION STYLE WITH REMOTE SENSING DATA AND NUMERICAL SIMULATIONS.2019.