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Št. zadetkov: 3
Data on 33 years of erroneous usage of rainfall erosivity equations
Nejc Bezak, Klaudija Sapač, Yu-Chieh Huang, Walter Chen
Kratki znanstveni prispevek
Oznake: hidrologija;baza podatkov;empirična R enačba;erozivnost padavin;degradacija tal;sprememba podnebja;okoljska vzgoja;erozija tal;relational database;empirical R equation;rainfall erosivity;land degradation;climate change;environmental education;soil erosion;
This paper describes the data gathered for a paper published in Earth-Science Reviews (DOI: 10.1016/j.earscirev.2023.104339) to address the problem of studies using incorrect equations to calculate rainfall erosivity (R factor), which can lead to issues related to land degradation, soil productivity ...
Leto: 2023 Vir: Fakulteta za gradbeništvo in geodezijo (UL FGG)
ǂA ǂsystematic review of the incorrect use of an empirical equation for the estimation of the rainfall erosivity around the globe
Walter Chen, Yu-Chieh Huang, Klaudija Sapač, Nejc Bezak
Izvirni znanstveni članek
Oznake: erozivnost padavin;erozija tal;podnebne spremembe;modificiran Fournirjev indeks;nepravilna enačba;rainfall erosivity;soil erosion;climate change;modified fournier index;incorrect equation;
Soil erosion is part of the erosion-sedimentation cycle and a type of land degradation that can be caused by poor land management. This is expected to be exacerbated by climate change. The rainfall erosivity factor (R) of the Universal Soil Loss Equation (USLE) family of soil erosion models is one o ...
Leto: 2023 Vir: Fakulteta za gradbeništvo in geodezijo (UL FGG)
Learning Deep Structured Models
Liang-Chieh Chen
Video in druga učna gradiva
Oznake: computer science;machine learning
Many problems in real-world applications involve predicting several random variables that are statistically related. Markov random fields (MRFs) are a great mathematical tool to encode such dependencies. The goal of this paper is to combine MRFs with deep learning to estimate complex representations ...
Leto: 2015 Vir: videolectures.net
Št. zadetkov: 3
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