A STUDY OF THE PARAMETERS AFFECTING THE PERFORMANCE OF ROADS UNDER AN EXTREME RAINFALL EVENT

2014 ◽  
Author(s):  
Helen Fairweather
Keyword(s):  
Extreme Rainfall ◽  
Rainfall Event ◽  
Extreme Rainfall Event

scholarly journals Extreme rainfall impacts on soil CO2 efflux in an urban forest ecosystem in Beijing, China

2016 ◽  
Vol 96 (4) ◽  
pp. 504-514 ◽  
Author(s):  
Wenjing Chen ◽  
Xin Jia ◽  
Chunyi Li ◽  
Haiqun Yu ◽  
Jing Xie ◽  
...  
Keyword(s):  
Soil Respiration ◽  
Forest Ecosystem ◽  
Urban Forest ◽  
Extreme Rainfall ◽  
Rainfall Event ◽  
Extreme Rainfall Event ◽  
Co2 Efflux ◽  
Abrupt Decrease ◽  
Environmental Controls ◽  
Beijing China

Extreme rainfall events are infrequent disturbances that affect urban environments and soil respiration (Rs). Using data measured in an urban forest ecosystem in Beijing, China, we examined the link between gross primary production (GPP) and soil respiration on a diurnal scale during an extreme rainfall event (i.e., the “21 July 2012 event”), and we examined diel and seasonal environmental controls on Rs. Over the seasonal cycle, Rs increased exponentially with soil temperature (Ts). In addition, Rs was hyperbolically related to soil volumetric water content (VWC), increasing with VWC below a threshold of 0.17 m3 m−3, and then decreasing with further increases in VWC. Following the extreme rainfall event (177 mm), Rs showed an abrupt decrease and then maintained a low value of ∼0.3 μmol m−2 s−1 for about 8 h as soil VWC reached the field capacity (0.34 m3 m−3). Rs became decoupled from Ts and increased very slowly, while GPP showed a greater increase. A bivariate Q10-hyperbolical model, which incorporates both Ts and VWC effects, better fits Rs than the Q10 model in summer but not for whole year.

Moisture sources and transport during an extreme rainfall event over the Limpopo River Basin, southern Africa

2021 ◽  
Vol 264 ◽  
pp. 105849
Author(s):  
R.S. Rapolaki ◽  
R.C. Blamey ◽  
J.C. Hermes ◽  
C.J.C. Reason
Keyword(s):  
River Basin ◽  
Southern Africa ◽  
Extreme Rainfall ◽  
Rainfall Event ◽  
Extreme Rainfall Event ◽  
Moisture Sources

Ensemble-based sensitivity analysis and predictability of an extreme rainfall event over Northern Taiwan in the Mei-yu season: The 2 June 2017 case

2021 ◽  
pp. 105684
Author(s):  
Chung-Chieh Wang ◽  
Ming-Siang Li ◽  
Chih-Sheng Chang ◽  
Pi-Yu Chuang ◽  
Shin-Hau Chen ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Extreme Rainfall ◽  
Rainfall Event ◽  
Extreme Rainfall Event ◽  
Northern Taiwan

Simulation of an extreme rainfall event over Mumbai using a regional climate model: a case study

2021 ◽  
Vol 134 (1) ◽  
Author(s):  
Manas Pant ◽  
Soumik Ghosh ◽  
Shruti Verma ◽  
Palash Sinha ◽  
R. K. Mall ◽  
...  
Keyword(s):  
Regional Climate Model ◽  
Climate Model ◽  
Regional Climate ◽  
Extreme Rainfall ◽  
Rainfall Event ◽  
Extreme Rainfall Event

Influence of tropical-extratropical interactions on the dynamics of extreme rainfall event: A case study from Indian region

2019 ◽  
Vol 85 ◽  
pp. 28-40
Author(s):  
K. Niranjan Kumar ◽  
D.V. Phanikumar ◽  
S. Sharma ◽  
G. Basha ◽  
M. Naja ◽  
...  
Keyword(s):  
Extreme Rainfall ◽  
Rainfall Event ◽  
Indian Region ◽  
Extreme Rainfall Event

scholarly journals Response of Submerged Aquatic Vegetation to Water Depth in a Large Shallow Lake after an Extreme Rainfall Event

Water ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 2412 ◽  
Author(s):  
Jinge Zhu ◽  
Jiancai Deng ◽  
Yihui Zhang ◽  
Zhaoliang Peng ◽  
Weiping Hu
Keyword(s):  
Water Level ◽  
Water Depth ◽  
Submerged Aquatic Vegetation ◽  
Community Dynamics ◽  
Aquatic Vegetation ◽  
Lake Taihu ◽  
Extreme Rainfall ◽  
Rainfall Event ◽  
Cumulative Probability ◽  
Extreme Rainfall Event

Submerged aquatic vegetation (SAV) is an important part of lake ecosystems, and a proper SAV community structure is the key factor in keeping a clear-water state. Although the response of SAV to water depth has been widely studied in different aquatic environments, little is known about the response of the SAV community to changes in water depth of a large lake after an extreme rainfall event. To examine this question, 780 samples were collected from Lake Taihu, China, between 2013 and 2017 to analyze the variations in SAV and water depth. The water level of the lake ranged from 2.75 to 4.87 m, and the water depth at sampling sites ranged from 1.07 to 3.31 m. The SAV biomass at the sampling sites ranged from 0 to 17.61 kg/m2. The influence of water depth on SAV biomass and frequency of occurrence differed by seasons and by species. The adaptation of SAV species to increasing water depth is a key element for community dynamics, which in turn contributes to water level regulation. A new method was proposed to identify the optimal water depth for SAV biomass accumulation based on calculation of the cumulative probability and probability density.

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