Yi Li & Faliang Yuan 
Spatiotemporal Dynamics of Meteorological and Agricultural Drought in China [PDF ebook] 

Wsparcie

This book explores spatiotemporal analysis and impact assessment of agricultural drought in China and investigates the correlation coefficient between meteorological drought and agricultural drought. It then conducts multivariate frequency analysis of drought events using drought indices and copula functions. It aims to reveal spatiotemporal characteristics and impacts of agricultural drought in China both on vegetation phenology and productivity. The book assesses the performances of drought indices for better predicting multi-year droughts and return periods and drought risk assessment.

€160.49
Metody Płatności

Spis treści

Introduction.- Spatiotemporal Analysis and Impacts Assessment of Agricultural Drought in China.- Materials and Methodology.- Spatial and Temporal Variations of SPI and SSI.- Multivariate Frequency Analysis of Drought Events Using Drought Indices and Copula Functions in China.- Study Area and Data Source.- Drought Indices and Univariate Analysis.- Frequency Analysis Using 2-Variate Archimedean Copula.- Frequency Analysis Using 3-Variate Archimedean Copula.- Frequency Analysis Using Four-Variate Archimedean Copula.- Spatiotemporal Analysis and Impacts Assessment of Agricultural Drought in China.- Study Area and Data.- Drought Evolutions Over Different Land Cover Types.- The Response of Vegetation Phenology and Productivity to Extreme Climatic.- Drought Indices Performance for Predicting Agriculture Drought.- The Effects of Agricultural Drought on Crop Production.- Conclusions.

O autorze

Professor Yi Li works at Northwest Agriculture and Forestry University, Shaanxi, China. She has published more than 200 papers in many peer-reviewed journals as the main author or co-author. She has also authored 6 monographs and 1 textbook and won numerous National or Provincial Science and Technology Awards.

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Język Angielski ● Format PDF ● Strony 247 ● ISBN 9789819742141 ● Rozmiar pliku 13.3 MB ● Wydawca Springer Nature Singapore ● Miasto Singapore ● Kraj SG ● Opublikowany 2024 ● Do pobrania 24 miesięcy ● Waluta EUR ● ID 9557886 ● Ochrona przed kopiowaniem Społeczny DRM

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