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Anotace knihy

The contribution of vegetation to slope stability is a complex, multi-scale, and multi-agent mechanism, necessitating inter-disciplinary research. Due to varying backgrounds of researchers working on this topic, standardization of methods and a systematic classification of models is lacking. Root Reinforcement: Measurement and Modeling intends to build confidence among interdisciplinary researchers working in geohazards on how to include vegetation in engineering design by providing more clarity on how to quantify reinforcement, by both focusing on how to collect data (measurements) and how to interpret data collected to make predictions for modified soil properties (modelling). Root Reinforcement: Measurement and Modeling covers mechanical and hydrological interactions between soil and plant roots. It explores and compares measurement techniques, and systematically dissects predictive models developed in the last fifty years of research. The methodical approach and inclusion of executable code makes it a suitable resource for both researchers and practitioners, especially those new to this field.

• Provides guidance on selecting experimental techniques based on advantages, disadvantages, and use cases allowing readers to gain a solid basis in selecting the most appropriate methods or tools for their application
• Summarizes almost 50 years’ worth of models under one roof, in systematic order benefitting the reader with an increased understanding of assumptions, simplifications, and generalizations behind existing models
• Includes code, algorithms, and software packages providing hands-on modelling experience using the complementary open-access software package, which can be used or adapted to readers' needs

Parametry knihy

Zařazení knihy Knihy v angličtině Mathematics & science Biology, life sciences Botany & plant sciences

• Plný název: Root Reinforcement
• Podnázev: Measurement and Modelling
• Autor: Anil Yildiz, Gerrit J. Meijer
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 275
• EAN: 9780443335020
• ISBN: 0443335028
• ID: 49200127
• Nakladatelství: Elsevier Science
• Rozměry: 235 × 191 mm
• Datum vydání: 01. March 2026

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