Name: Time Series Modelling for Groundwater Management (en Inglés)
Price: 237109.00 COP
Availability: InStock
Author: Farid, Hafiz Umar ; Khan, Zahid Mahmood ; Hussain, Saddam
ISBN: 9786205509098

portada Time Series Modelling for Groundwater Management (en Inglés)

Formato

Libro Físico

Autor

Saddam Hussain

Hafiz Umar Farid

Zahid Mahmood Khan

Editorial

LAP Lambert Academic Publishing

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

22.9 x 15.2 x 0.5 cm

Peso

0.14 kg.

ISBN13

9786205509098

Categorías

Técnicas de gestión empresarial

Time Series Modelling for Groundwater Management (en Inglés)

Saddam Hussain (Autor) · Hafiz Umar Farid (Autor) · Zahid Mahmood Khan (Autor) · LAP Lambert Academic Publishing · Tapa Blanda

Libro Nuevo

$ 237.109

$ 364.783

Ahorras: $ 127.674

35% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Lunes 12 de Agosto y el Lunes 26 de Agosto.

Lo recibirás en cualquier lugar de Colombia entre 1 y 5 días hábiles luego del envío.

Reseña del libro "Time Series Modelling for Groundwater Management (en Inglés)"

In arid and semi-arid regions, groundwater is often the primary source of water. However, over pumping for irrigation purposes has resulted in a general decline in groundwater levels/depth in the semi-arid aquifer. The spatiotemporal analysis of groundwater level for pre-monsoon season and post monsoon season were carried out of 203 sites for Haveli canal Circle of the Multan Irrigation zone, Punjab, Pakistan for the period 2005-2018 using the Mann-Kendall and Sen's slope estimator tests. The data distribution was tested for normality using the Kolmogorov-Smirnov normality test in the Statistical Package for Social Sciences (SPSS) software package. The results of the normality test showed that the data was not normally distributed (p = 0.01) as statistics for pre-monsoon and post-monsoon groundwater level were observed 0.195 and 0.159, respectively. The results also indicated that 33.1% sites showed a significant increasing trend in groundwater depth during pre-monsoon season while during post-monsoon season, 31.6% of sites show a significant increasing trend in groundwater depth.