scholarly journals Across-Scale Geomechanical Evaluation of Rain Intensity, Slope and Sand Type on Post-Wildfire Mudflow Composition and Onset Mechanisms

2021 ◽  
Author(s):  
Ingrid Tomac ◽  
Jonathon Chavez de Rosas ◽  
Melissa Lepe ◽  
Wenpei Ma ◽  
Mahta Movasat
Keyword(s):  
Rain Intensity ◽  
Sand Type

Penentuan Metode Intensitas Hujan Berdasarkan Karakteristik Hujan dari Stasiun Pengamat Hujan Disekitar Kecamatan Karawang Timur

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Melisa Permatasari ◽  
M. Candra Nugraha ◽  
Etih Hartati
Keyword(s):  
Drainage System ◽  
Daily Rainfall ◽  
Intensity Analysis ◽  
Rain Intensity ◽  
Rainy Period ◽  
Discharge Plan ◽  
Calculation Results ◽  
Value Determination ◽  
Maximum Daily Rainfall ◽  
Method Approach

<p>The rain intensity is the high rainfall in unit of time. The length of rain will be reversed by the amount rain intensity. The shorter time the rain lasts, the greater of the intensity and re-period of its rain. The value of rain intensity is required to calculate the flood discharge plan on the drainage system planning area in East Karawang district. Determining the value rain intensity is required the maximum daily rainfall data obtained from the main observer stations in the Plawad station planning area. The method of determination rain intensity analysis can be done with three methods: Van Breen, Bell Tanimoto and Hasper der Weduwen. Selected method is based on the smallest deviation value. Determination deviation value is determined by comparing rain intensity value of Van Breen method, Bell Tanimoto, Hasper der Weduwen. By comparing rain intensity value of the Van Breen method, Bell Tanimoto, Hasper der Weduwen with the results of calculating three methods through the method approach Talbot, Sherman and Ishiguro. Calculation results show that the method of rain has smallest deviation standard is method Van Breen with Talbot approach for rainy period (PUH) 2, 5, 10, 25, 50 and 100 years.</p>

CSO Modelling Considering Moving Storms and Tipping Bucket Gauge Failures

2007 ◽  
Vol 2 (1) ◽  
Author(s):  
M. Hochedlinger ◽  
W. Sprung ◽  
H. Kainz ◽  
K. König
Keyword(s):  
Hydrological Models ◽  
Rain Intensity ◽  
Hydrodynamic Models ◽  
Data Intensive ◽  
Storm Flow ◽  
Cell Velocity ◽  
Combined Sewer ◽  
Moving Direction ◽  
The Difference

The simulation of combined sewer overflow volumes and loads is important for the assessment of the overflow and overflow load to the receiving water to predict the hydraulic or the pollution impact. Hydrodynamic models are very data-intensive and time-consuming for long-term quality modelling. Hence, for long-term modelling, hydrological models are used to predict the storm flow in a fast way. However, in most cases, a constant rain intensity is used as load for the simulation, but in practice even for small catchments rain occurs in rain cells, which are not constant over the whole catchment area. This paper presents the results of quality modelling considering moving storms depending on the rain cell velocity and its moving direction. Additionally, tipping bucket gauge failures and different corrections are also taken into account. The results evidence the importance of these considerations for precipitation due the effects on overflow load and show the difference up to 28% of corrected and uncorrected data and of moving rain cells instead of constant raining intensities.

Multiplatform Comparisons of Rain Intensity for Extreme Precipitation Events

2012 ◽  
Vol 50 (3) ◽  
pp. 675-686 ◽  
Author(s):  
Eyal Amitai ◽  
Walter Petersen ◽  
Xavier Llort ◽  
Steve Vasiloff
Keyword(s):  
Extreme Precipitation ◽  
Rain Intensity ◽  
Extreme Precipitation Events ◽  
Precipitation Events

Effects of sand type on hatch, emergence, and locomotor performance in loggerhead turtle hatchlings

2019 ◽  
Vol 511 ◽  
pp. 54-59 ◽  
Author(s):  
Tomomi Saito ◽  
Maoko Wada ◽  
Ryohei Fujimoto ◽  
Shohei Kobayashi ◽  
Yoshinori Kumazawa
Keyword(s):  
Loggerhead Turtle ◽  
Locomotor Performance ◽  
Sand Type

scholarly journals Error in the Sampling Area of an Optical Disdrometer: Consequences in Computing Rain Variables

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
R. Fraile ◽  
A. Castro ◽  
M. Fernández-Raga ◽  
C. Palencia ◽  
A. I. Calvo
Keyword(s):  
Rainfall Intensity ◽  
Rain Event ◽  
Rain Intensity ◽  
Sampling Area ◽  
The Real ◽  
Efficient Sampling ◽  
Real Value ◽  
Effective Sampling Area ◽  
Reflectivity Factor

The aim of this study is to improve the estimation of the characteristic uncertainties of optic disdrometers in an attempt to calculate the efficient sampling area according to the size of the drop and to study how this influences the computation of other parameters, taking into account that the real sampling area is always smaller than the nominal area. For large raindrops (a little over 6 mm), the effective sampling area may be half the area indicated by the manufacturer. The error committed in the sampling area is propagated to all the variables depending on this surface, such as the rain intensity and the reflectivity factor. Both variables tend to underestimate the real value if the sampling area is not corrected. For example, the rainfall intensity errors may be up to 50% for large drops, those slightly larger than 6 mm. The same occurs with reflectivity values, which may be up to twice the reflectivity calculated using the uncorrected constant sampling area. TheZ-Rrelationships appear to have little dependence on the sampling area, because both variables depend on it the same way. These results were obtained by studying one particular rain event that occurred on April 16, 2006.

Sand type effect on the behaviour of sand-granulated rubber mixtures: Integrated study from micro- to macro-scales

2019 ◽  
Vol 342 ◽  
pp. 907-916 ◽  
Author(s):  
W. Li ◽  
C.Y. Kwok ◽  
C.S. Sandeep ◽  
K. Senetakis
Keyword(s):  
Integrated Study ◽  
Sand Type

scholarly journals SISTEM INFORMASI GEOGRAFIS WILAYAH RAWAN BANJIR DI KOTA PEKANBARU

2019 ◽  
Vol 4 (2) ◽  
pp. 109-119
Author(s):  
Luluk Elvitaria Elvitaria ◽  
Miftahul Khasani
Keyword(s):  
Geographical Information Systems ◽  
Geographical Location ◽  
Geographical Information ◽  
Daily Activities ◽  
Flood Events ◽  
Rain Intensity ◽  
The City ◽  
Term Rain ◽  
Flood Prone Areas

Based on the geographical location of Pekanbaru City is one of the areas included in flood-prone areas, even said that the city of Pekanbaru is included in the red zone related to flooding, seeing from the majority of the existing area is the rawah and river banks. The National Flood Mitigation Agency (BNPB) noted that the city of Pekanbaru is one of the flood-prone cities on the island of Sumatra. In addition to determining flood-prone areas for the Regional BPBD Office in Pekanbaru City, the community also wants to know the location that often floods and determine the long-term rain intensity capacity that will cause flooding, so that it does not hinder the daily activities. To deal with this problem, a Geographical Information System needs to be developed that can determine areas that often occur in natural flooding. Geographical information systems are expected to be able to assist the BPBD Office in managing flood data that has occurred in the city of Pekanbaru, and help provide information about floods that are needed by the community to anticipate further flood events.  

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