Zobrazeno 1 - 10
of 25
pro vyhledávání: '"K. G. Renard"'
THERE are many changes for estimating erosion by water in RUSLE, the revised universal soil loss equation. The changes include the following: Computerizing the algorithms to assist with the calculations. New rainfall-runoff erosivity term values (R)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09d1395155d68bb98149e325e5792f6f
https://doi.org/10.1201/9780203739358-5
https://doi.org/10.1201/9780203739358-5
Publikováno v:
Handbook of Erosion Modelling
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db1e8687d624eb3a8f77ae42185a3925
https://doi.org/10.1002/9781444328455.ch8
https://doi.org/10.1002/9781444328455.ch8
Autor:
J. R. Williams, K. G. Renard
Publikováno v:
Soil Erosion and Crop Productivity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea2ad6dda658e3c7485914d5f21307cb
https://doi.org/10.2134/1985.soilerosionandcrop.c5
https://doi.org/10.2134/1985.soilerosionandcrop.c5
Publikováno v:
Applied Engineering in Agriculture. 15:295-301
Geographic Information System (GIS) combined with soil loss models can enhance the evaluation of soil erosion estimation. ARC/INFO geographic information system with the Revised Universal Soil Loss Equation (RUSLE) was used to estimate soil erosion o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87a6995e45db263a1e9399680d326e57
https://doi.org/10.13031/2013.5780
https://doi.org/10.13031/2013.5780
Publikováno v:
Soil Erosion.
Physically based runoff and erosion simulation models usually rely on the representation of watersheds usingcascades of planes and channels, and on the solution of 1-D flow equations. Often, the effect ofmicrotopography and spatial variability of sur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7389a22295f7343f10fe627784608bea
https://doi.org/10.13031/2013.4852
https://doi.org/10.13031/2013.4852
Publikováno v:
Transactions of the ASAE. 39:1391-1394
Runoff Curve Numbers (a measure of a watershed’s runoff response to a rainstorm) were determined using three different methods for 18 semiarid watersheds in southeastern Arizona. Each of the methods produced similar results. A relationship was then
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::428b28b47b3af7b2910cbcd5aa7a827b
https://doi.org/10.13031/2013.27630
https://doi.org/10.13031/2013.27630
Publikováno v:
Environmental Geology. 22:121-128
Modeling is a major component of contemporary earth science, and regression analysis occupies a central position in the parameterization, calibration, and validation of geomorphic and hydrologic models. Although this methodology can be used in many w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da18fe7ac7bbc570a93b3182180838fa
https://doi.org/10.1007/bf00789324
https://doi.org/10.1007/bf00789324
Autor:
V. A. Ferreira, K. G. Renard
Publikováno v:
Journal of Environmental Quality. 22:458-466
Water quality modeling generally requires estimates of the amount of eroded material entering water courses. This information is necessary because sediment often transports adsorbed chemicals. Numerous models have been developed to assist with assess
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60b1986b1a04c3c17bd38dbb0bb5853a
https://doi.org/10.2134/jeq1993.00472425002200030009x
https://doi.org/10.2134/jeq1993.00472425002200030009x
Publikováno v:
Water Resources Research. 43
[1] This study reports sediment yields from seven small (0.18–5.42 ha) watersheds in Southern Arizona measured from 1995 to 2005. Sediment concentrations and total event sediment yields were related to storm-runoff characteristics, and statistical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::049b26279835f026b5afb4dab8350f73
https://doi.org/10.1029/2006wr005692
https://doi.org/10.1029/2006wr005692
Publikováno v:
Transactions of the ASAE. 45
This study presents a series of algorithms developed to estimate hydraulic roughness coefficients for overland flow. The algorithms are combinations of neural networks that use surface configuration parameters and the local flow Reynolds number as in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2a6f976716a5e2aa4b54c4de2521eb5
https://doi.org/10.13031/2013.8834
https://doi.org/10.13031/2013.8834