scholarly journals Landslides control the spatial and temporal variation of channel width in southern Taiwan: Implications for landscape evolution and cascading hazards in steep, tectonically active landscapes

2018 ◽  
Vol 43 (9) ◽  
pp. 1782-1797 ◽  
Author(s):  
Brian J. Yanites ◽  
Nate A. Mitchell ◽  
Joshua C. Bregy ◽  
Grace A. Carlson ◽  
Kirstyn Cataldo ◽  
...  
Keyword(s):  
Temporal Variation ◽  
Landscape Evolution ◽  
Channel Width ◽  
Spatial And Temporal Variation ◽  
Tectonically Active ◽  
Southern Taiwan

scholarly journals Extreme event-driven sediment aggradation and erosional buffering along a tectonic gradient in southern Taiwan

Geology ◽  
2021 ◽  
Author(s):  
Clarke DeLisle ◽  
Brian J. Yanites ◽  
Chia-Yu Chen ◽  
Bruce H. Shyu ◽  
Tammy M. Rittenour
Keyword(s):  
Extreme Event ◽  
Landscape Evolution ◽  
Extreme Rainfall ◽  
Tectonic Activity ◽  
Stream Power ◽  
Sediment Delivery ◽  
Landscape Response ◽  
Tectonically Active ◽  
Southern Taiwan ◽  
Sediment Cover

In most landscape evolution models, extreme rainfall enhances river incision. In steep landscapes, however, these events trigger landslides that can buffer incision via increased sediment delivery and aggradation. We quantify landslide sediment aggradation and erosional buffering with a natural experiment in southern Taiwan where a northward gradient in tectonic activity drives increasing landscape steepness. We find that landscape response to extreme rainfall during the 2009 typhoon Morakot varied along this gradient, where steep areas experienced widespread channel sediment aggradation of >10 m and less steep areas did not noticeably aggrade. We model sediment export to estimate a sediment removal timeline and find that steep, tectonically active areas with the most aggradation may take centuries to resume bedrock incision. Expected sediment cover duration reflects tectonic uplift. We find that despite high stream power, sediment cover may keep steep channels from eroding bedrock for up to half of a given time period. This work highlights the importance of dynamic sediment cover in landscape evolution and suggests a mechanism by which erosional efficiency in tectonically active landscapes may decrease as landscape steepness increases.

Spatial and Temporal Variation on Heavy Metals in the Sediments of Dapeng Bay and Neighboring Rivers

2013 ◽  
Vol 726-731 ◽  
pp. 1378-1382
Author(s):  
Shih Chieh Chen ◽  
Wen Liang Lai ◽  
Chung Yi Chung ◽  
Hwa Sheng Gau ◽  
Shao Wei Liao
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Temporal Variation ◽  
Operative Management ◽  
Spatial And Temporal Variation ◽  
Typhoon Morakot ◽  
Habitat Recovery ◽  
Southern Taiwan ◽  
The Impact ◽  
Dapeng Bay

The Typhoon Morakot raged through Taiwan bringing torrential rain for two days, which led to debris-flow in mountains and severe flooding in the coastal areas of southern Taiwan. In order to realize the impact of the Typhoon Morakot on heavy metals in the sediments this research discriminate the pollution brought from three neighboring rivers to the Dapeng Bay lagoon by using the R. A. Fisher Method. The results generally indicate that the samples from Dapeng Bay and the three neighboring rivers are displaying individual crowd-distribution phenomena, which means that the heavy metal content in the sediments of Dapeng Bay and the three neighboring rivers are not totally similar. Today, due to a massive variation in eco-habitat and a more frequently changing climate, the understanding of spatial-temporal variation of heavy metal pollution of sediments in Dapeng Bay and pollution sources from three neighboring rivers will provide useful information regarding disaster management, habitat recovery, operative management, as well as ecotourism specification.

scholarly journals Spatial and Temporal Variation Characteristics of Snowfall in the Haihe River Basin from 1960 to 2016

Water ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 1798
Author(s):  
Xu Wu ◽  
Su Li ◽  
Bin Liu ◽  
Dan Xu
Keyword(s):  
Temporal Variation ◽  
River Basin ◽  
Spatial And Temporal Variation ◽  
Haihe River Basin ◽  
Temperature Threshold ◽  
Threshold Method ◽  
Exponential Equation ◽  
Haihe River ◽  
The Haihe River Basin ◽  
Different Levels

The spatio-temporal variation of precipitation under global warming had been a research hotspot. Snowfall is an important part of precipitation, and its variabilities and trends in different regions have received great attention. In this paper, the Haihe River Basin is used as a case, and we employ the K-means clustering method to divide the basin into four sub-regions. The double temperature threshold method in the form of the exponential equation is used in this study to identify precipitation phase states, based on daily temperature, snowfall, and precipitation data from 43 meteorological stations in and around the Haihe River Basin from 1960 to 1979. Then, daily snowfall data from 1960 to 2016 are established, and the spatial and temporal variation of snowfall in the Haihe River Basin are analyzed according to the snowfall levels as determined by the national meteorological department. The results evalueted in four different zones show that (1) the snowfall at each meteorological station can be effectively estimated at an annual scale through the exponential equation, for which the correlation coefficient of each division is above 0.95, and the relative error is within 5%. (2) Except for the average snowfall and light snowfall, the snowfall and snowfall days of moderate snow, heavy snow, and snowstorm in each division are in the order of Zones III > IV > I > II. (3) The snowfall and the number of snowfall days at different levels both show a decreasing trend, except for the increasing trend of snowfall in Zone I. (4) The interannual variation trend in the snowfall at the different levels are not obvious, except for Zone III, which shows a significant decreasing trend.

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