portada Time Series Modelling for Groundwater Management (en Inglés)

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

22.9x15.2x0.5 cm

Peso

0.14 kg.

ISBN13

9786205509098

Categorías

Gestión y técnicas de gestión

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

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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.