Degree of Anthropogenic Land Disturbance Controls Fluvial Sediment Hysteresis

2021 ◽  
Author(s):  
Amirreza Zarnaghsh ◽  
Admin Husic
Keyword(s):  
Fluvial Sediment ◽  
Land Disturbance

U.S. Geological Survey approved inorganic and organic methods for the analysis of water and fluvial sediment, 1954-94

1994 ◽  
Author(s):  
Marvin J. Fishman ◽  
Jon W. Raese ◽  
Carol N. Gerlitz ◽  
Richard A. Husband
Keyword(s):  
Geological Survey ◽  
Fluvial Sediment ◽  
Inorganic And Organic

Fluvial sediment in Ohio

1978 ◽  
Keyword(s):  
Fluvial Sediment

COMPARING THE EFFECTS OF AGRICULTURAL LAND DISTURBANCE ON WEATHERING AND SOIL DEVELOPMENT IN LOESS SOILS OF EASTERN IOWA AND NEBRASKA

2016 ◽  
Author(s):  
Ashlee Laura Denton Dere ◽  
◽  
E. Arthur Bettis ◽  
Kathleen R. Goff ◽  
Sara Parcher
Keyword(s):  
Agricultural Land ◽  
Soil Development ◽  
Land Disturbance ◽  
Loess Soils

ESTUARINE RECORDS OF LONG-TERM HUMAN IMPACTS ON FLUVIAL SEDIMENT DISCHARGE FROM A LARGE NEW ENGLAND RIVER

2016 ◽  
Author(s):  
Justin L. Shawler ◽  
◽  
Christopher J. Hein
Keyword(s):  
New England ◽  
Human Impacts ◽  
Sediment Discharge ◽  
Fluvial Sediment

Holocene climate evolution: information from the Lacustrine–Fluvial sediment in North China

2021 ◽  
Author(s):  
Han-tao Ni ◽  
Yong Wang ◽  
Fei Tian ◽  
Pei-yi Yao ◽  
Lu-peng Yuan ◽  
...  
Keyword(s):  
North China ◽  
Holocene Climate ◽  
Fluvial Sediment ◽  
Climate Evolution

scholarly journals Assessment of Rainfall-Induced Landslide Distribution Based on Land Disturbance in Southern Taiwan

2021 ◽  
Vol 10 (4) ◽  
pp. 209
Author(s):  
Chih-Ming Tseng ◽  
Yie-Ruey Chen ◽  
Chwen-Ming Chang ◽  
Yung-Sheng Chue ◽  
Shun-Chieh Hsieh
Keyword(s):  
Satellite Image ◽  
Extreme Rainfall ◽  
Land Area ◽  
Rainfall Events ◽  
Land Disturbance ◽  
Bare Land ◽  
Southern Taiwan ◽  
The Impact ◽  
Landslide Distribution ◽  
The Relationship

This study explores the impact of rainfall on the followed-up landslides after a severe typhoon and the relationship between various rainfall events and the occurrence, scale, and regional characteristics of the landslides, including second landslides. Moreover, the influence of land disturbance was evaluated. The genetic adaptive neural network was used in combination with the texture analysis of the geographic information system for satellite image classification and interpretation to analyze land-use change and retrieve disaster records and surface information after five rainfall events from Typhoon Morakot (2009) to Typhoon Nanmadol (2011). The results revealed that except for extreme Morakot rains, the greater the degree of slope disturbance after rain, the larger the exposed slope. Extreme rainfall similar to Morakot strikes may have a greater impact on the bare land area than on slope disturbance. Moreover, the relationship between the bare land area and the index of land disturbance condition (ILDC) is positive, and the ratio of the bare land area to the quantity of bare land after each rainfall increases with the ILDC. With higher effective accumulative rainfall on the slope in the study area or greater slope disturbance, the landslide area at the second landslide point tended to increase.

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