Name: Drought Forecasting (en Inglés)
SKU: 57703484
Price: 63.57 USD
Availability: InStock
Author: Qi, Zhang
ISBN: 9786202918657

Formato

Libro Físico

Autor

Zhang Qi

Editorial

LAP Lambert Academic Publishing

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

22.9x15.2x0.3 cm

Peso

0.10 kg.

ISBN13

9786202918657

Categorías

Ciencia, ingeniería y tecnología medioambientales

Drought Forecasting (en Inglés)

Zhang Qi (Autor) · LAP Lambert Academic Publishing · Tapa Blanda

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Reseña del libro "Drought Forecasting (en Inglés)"

Drought forecasts could effectively reduce the risk of drought. Data-driven models are suitable forecast tools because of their minimal information requirements. The motivation for this study is that because most data-driven models, such as autoregressive integrated moving average (ARIMA) models, can capture linear relationships but cannot capture nonlinear relationships they are insufficient for long-term prediction.The hybrid ARIMA-support vector regression (SVR) model proposed in this paper is based on the advantages of a linear model and a nonlinear model. The multi scale standard precipitation indices (SPI: SPI1, SPI3, SPI6, and SPI12) were forecast and compared using the ARIMA model and the hybrid ARIMA-SVR model. The performance of all models was compared using measures of persistence, such as the coefficient of determination, root-mean-square error, mean absolute error, Nash-Sutcliffe coefficient, and kriging interpolation method in the ArcGIS softwar