From MFKP_wiki

Jump to: navigation, search

Selection: with tag rainy-days_daily-rainfall [11 articles] 

 

A new methodology for estimating rainfall aggressiveness risk based on daily rainfall records for multi-decennial periods

  
Science of The Total Environment, Vol. 615 (2018), pp. 564-571

Abstract

[Highlights] [::] A new methodology is proposed to estimate the rainfall aggressiveness risk. [::] This methodology is based on daily rainfall records. [::] A new synthesis parameter based on Modified Fournier and Oliver's indices is used. [::] It is calibrated with respect to the erosivity R factor for a simultaneity period. [::] The SW of Iberian Peninsula has been selected to test its regional application. [Abstract] The temporal irregularity of rainfall, characteristic of a Mediterranean climate, corresponds to the irregularity of the environmental effects on soil. We used ...

 

More rain, less soil: long-term changes in rainfall intensity with climate change

  
Earth Surface Processes and Landforms, Vol. 41, No. 4. (30 March 2016), pp. 563-566, https://doi.org/10.1002/esp.3868

Abstract

This commentary discusses the role of long-term climate change in driving increases in soil erosion. Assuming that land use and management remain effectively constant, we discuss changes in the ability of rainfall to cause erosion (erosivity), using long daily rainfall data sets from southeast England. An upward trend in mean rainfall per rain day is detected at the century-plus timescale. Implications for soil erosion and sediment delivery are discussed and evidence from other regions reviewed. We conclude that rates of soil ...

 

(INRMM-MiD internal record) List of keywords of the INRMM meta-information database - part 29

  
(February 2014)
Keywords: inrmm-list-of-tags   pyrus-castribonensis   pyrus-chosrovica   pyrus-communis   pyrus-complexa   pyrus-daralagezi   pyrus-elata   pyrus-gergerana   pyrus-hajastana   pyrus-magyarica   pyrus-nivalis   pyrus-nutans   pyrus-pyraster   pyrus-sicanorum   pyrus-sosnovskyi   pyrus-spinosa   pyrus-spp   pyrus-tamamschianae   pyrus-theodorovii   pyrus-vallis-demonis   pyrus-voronovii   python   q-learning   quantitive-variation   quantum-computing   quantum-gis   quarantine   quaternary   quercus   quercus-agrifolia   quercus-alnifolia   quercus-borealis   quercus-canariensis   quercus-cerrioides   quercus-cerris   quercus-chrysolepis   quercus-coccifera   quercus-coccinea   quercus-crenata   quercus-dalechampii   quercus-douglasii   quercus-emoryi   quercus-engelmannii   quercus-faginea   quercus-falcata   quercus-frainetto   quercus-gambelii   quercus-garryana   quercus-ilex   quercus-imbricaria   quercus-kelloggii   quercus-lanuginosa   quercus-liaotungensis   quercus-lobata   quercus-macrolepis   quercus-mongolica   quercus-palustris   quercus-parvula   quercus-pedunculata   quercus-pedunculiflora   quercus-petraea   quercus-polycarpa   quercus-pontica   quercus-prinus   quercus-pubescens   quercus-pyrenaica   quercus-robur   quercus-rotundifolia   quercus-rubra   quercus-sessiflora   quercus-sessiliflora   quercus-sicula   quercus-spp   quercus-suber   quercus-trojana   quercus-variabilis   quercus-virgiliana   quercus-virginiana   quercus-wislizeni   quercus-x-morisii   radar   radial-growth   radiocarbon-chronology   rainfall   rainforest   rainy-days_daily-rainfall   random-forest   random-walk   range-altitude   range-modelling   range-shift   rank-based-analysis   rapid-assessment   rare-events   rarely-observed-plant-species   rasterisation   ravine-forest   realised-vs-potential-range   realized-niche   reassuring-learning  

Abstract

List of indexed keywords within the transdisciplinary set of domains which relate to the Integrated Natural Resources Modelling and Management (INRMM). In particular, the list of keywords maps the semantic tags in the INRMM Meta-information Database (INRMM-MiD). [\n] The INRMM-MiD records providing this list are accessible by the special tag: inrmm-list-of-tags ( http://mfkp.org/INRMM/tag/inrmm-list-of-tags ). ...

 

Modeling spatial patterns of saturated areas: a comparison of the topographic wetness index and a dynamic distributed model

  
Journal of Hydrology, Vol. 373, No. 1-2. (June 2009), pp. 15-23, https://doi.org/10.1016/j.jhydrol.2009.03.031

Abstract

Topography is often one of the major controls on the spatial pattern of saturated areas, which in turn is a key to understanding much of the variability in soils, hydrological processes, and stream water quality. The topographic wetness index (TWI) has become a widely used tool to describe wetness conditions at the catchment scale. With this index, however, it is assumed that groundwater gradients always equal surface gradients. To overcome this limitation, we suggest deriving wetness indices based on simulations of ...

 

Identifying erosive periods by using RUSLE factors in mountain fields of the Central Spanish Pyrenees

  
Hydrology and Earth System Sciences, Vol. 12, No. 2. (6 March 2008), pp. 523-535, https://doi.org/10.5194/hess-12-523-2008

Abstract

The Mediterranean environment is characterized by strong temporal variations in rainfall volume and intensity, soil moisture and vegetation cover along the year. These factors play a key role on soil erosion. The aim of this work is to identify different erosive periods in function of the temporal changes in rainfall and runoff characteristics (erosivity, maximum intensity and number of erosive events), soil properties (soil erodibility in relation to freeze-thaw processes and soil moisture content) and current tillage practices in a set ...

 

Application of GIS tools for Leça River Basin soil erosion (Northern Portugal) evaluation

  
WIT Transactions on Ecology and the Environment, Vol. 124 (18 August 2009), pp. 267-278, https://doi.org/10.2495/rm090251

Abstract

Applying GIS-based RUSLE methodology, the main goal of the present study is to forecast soil loss and identify areas of high erosion potential in the Leça River Basin, located in Northern Portugal. The rasterlayered model was structured in ArcGIS for two different scales: grid cell sizes of 10 and 30 meters. The average annual soil loss in Leça River Basin was estimated at 33.2 t/ha, which produces a sediment yield of 52 000 m3/year. It was also estimated that 31% of ...

 

A RUSLE approach to model suspended sediment load in the Lo river (Vietnam): Effects of reservoirs and land use changes

  
Journal of Hydrology, Vol. 422-423 (February 2012), pp. 17-29, https://doi.org/10.1016/j.jhydrol.2011.12.009

Abstract

This study addresses the problem of modelling sediment erosion at the catchment scale, in order to predict the possible impact of reservoirs and land use changes on sediment load in South East Asia. The investigated basin is the Lo river basin, (38165 km2 in Viet Tri), a left tributary of the Red River, where the Thac Ba and the recently built Tuyen Quang reservoirs have already been changing downstream sediment load since 1971 and 2005 when they were, respectively, in operations. ...

 

Seasonal and spatial patterns of erosivity in a tropical watershed of the Colombian Andes

  
Journal of Hydrology, Vol. 314, No. 1-4. (25 November 2005), pp. 177-191, https://doi.org/10.1016/j.jhydrol.2005.03.014

Abstract

The Dosquebradas Basin, in the central coffee growing region of Colombia, covers an area of 58 km<SUP>2</SUP> between 1350 and 2150 m of elevation, with an annual precipitation of 2600 3200 mm. Seasonal erosivity (EI30), as defined by the Revised Universal Soil Loss Equation (RUSLE), was calculated for 11 years of record (1987 1997) from six pluviographic stations located within 21 km of the basin. Regression models for each station indicated that storm rainfall explained 61 70% of the variation in storm erosivity. Individual storms represented as much as ...

 

A new procedure to estimate the RUSLE EI30 index, based on monthly rainfall data and applied to the Algarve region, Portugal

  
Journal of Hydrology, Vol. 250, No. 1-4. (September 2001), pp. 12-18, https://doi.org/10.1016/s0022-1694(01)00387-0

Abstract

One of the best indicators of the potential erosion risks is the rainfall–runoff erosivity factor (R) of the revised universal soil loss equation (RUSLE). Frequently, however, there is not enough data available to compute the R value, and other parameters, such as the modified Fournier index (Fmod), are used instead. But RUSLE is less effective if only the alternative procedures exist. One of the major discrepancies between R and the alternative parameters is time resolution: individual storms are used to calculate ...

 

Estimating RUSLE's rainfall factor in the part of Italy with a Mediterranean rainfall regime

  
Hydrology and Earth System Sciences, Vol. 8 (2004), pp. 103-107

Abstract

The computation of the erosion index (EI), which is basic to the determination of the rainfall-runoff erosivity factor R of the Revised Universal Soil Loss Equation (RUSLE), is tedious and time-consuming and requires a continuous record of rainfall intensity. In this study, a power equation(r<SUP>2</SUP> = 0.867) involving annual erosion index (EI<SUB>30-annual</SUB>) in the Mediterranean part of Italy is obtained. Data from 12 raingauge stations are used to derive and then test a regional relationship for estimating the erosion index from only three rainfall parameters. Erosivity rainfall data derived ...

 

Estimation of potential soil erosion for river Perkerra catchment in Kenya

  
Water Resources Management In Water Resources Management, Vol. 19, No. 2. (April 2005), pp. 133-143, https://doi.org/10.1007/s11269-005-2706-5

Abstract

River Perkerra catchment with an area of 1207 km2 is drained by River Perkerra, which is one of the rivers flowing into Lake Baringo whose drainage area is 6820 km2. The lake is in a semi-arid area of Kenya. Its depth has reduced from 8 m in 1972 to 2.5 m in 2003 due to siltation resulting from high erosion rates in the catchment. The entire catchment is characterised by very steep slopes on the hillsides and gentle slopes in the ...

This page of the database may be cited as:
Integrated Natural Resources Modelling and Management - Meta-information Database. http://mfkp.org/INRMM/tag/rainy-days_daily-rainfall

Publication metadata

Bibtex, RIS, RSS/XML feed, Json, Dublin Core

Meta-information Database (INRMM-MiD).
This database integrates a dedicated meta-information database in CiteULike (the CiteULike INRMM Group) with the meta-information available in Google Scholar, CrossRef and DataCite. The Altmetric database with Article-Level Metrics is also harvested. Part of the provided semantic content (machine-readable) is made even human-readable thanks to the DCMI Dublin Core viewer. Digital preservation of the meta-information indexed within the INRMM-MiD publication records is implemented thanks to the Internet Archive.
The library of INRMM related pubblications may be quickly accessed with the following links.
Search within the whole INRMM meta-information database:
Search only within the INRMM-MiD publication records:
Full-text and abstracts of the publications indexed by the INRMM meta-information database are copyrighted by the respective publishers/authors. They are subject to all applicable copyright protection. The conditions of use of each indexed publication is defined by its copyright owner. Please, be aware that the indexed meta-information entirely relies on voluntary work and constitutes a quite incomplete and not homogeneous work-in-progress.
INRMM-MiD was experimentally established by the Maieutike Research Initiative in 2008 and then improved with the help of several volunteers (with a major technical upgrade in 2011). This new integrated interface is operational since 2014.