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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.
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Dr. Hafiz Umar FaridIch arbeite als außerordentlicher Professor im Rahmen des Tenure-Track-Systems (TTS) am Department of Agricultural Engineering der Bahauddin Zakariya University, Multan. Ich habe 70 Publikationen veröffentlicht, davon 34 Forschungsartikel in ISI-anerkannten (IF) Zeitschriften.
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Time Series Modelling for Groundwater Management
Verlag:
LAP LAMBERT Academic Publishing Okt 2022, 2022
ISBN 10: 6205509091
ISBN 13: 9786205509098
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Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 84 pp. Englisch. Bestandsnummer des Verkäufers 9786205509098
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Time Series Modelling for Groundwater Management : Groundwater Management
Verlag:
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6205509091
ISBN 13: 9786205509098
Neu
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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Bestandsnummer des Verkäufers 9786205509098
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Time Series Modelling for Groundwater Management
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LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6205509091
ISBN 13: 9786205509098
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Farid Hafiz UmarDr. Hafiz Umar FaridI am working as an Associate Professor under Tenure Track System (TTS) in the Department of Agricultural Engineering, Bahauddin Zakariya University, Multan. I have published 70 publications, out of. Bestandsnummer des Verkäufers 755870405
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Time Series Modelling for Groundwater Management
Verlag:
LAP LAMBERT Academic Publishing Okt 2022, 2022
ISBN 10: 6205509091
ISBN 13: 9786205509098
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch. Bestandsnummer des Verkäufers 9786205509098
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Time Series Modelling for Groundwater Management | Groundwater Management
Verlag:
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6205509091
ISBN 13: 9786205509098
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Taschenbuch. Zustand: Neu. Time Series Modelling for Groundwater Management | Groundwater Management | Hafiz Umar Farid (u. a.) | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786205509098 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 125816378
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