The book analyzes spatial and temporal rainfall variability across Madhya Pradesh using 70 years (1951–2020) of high-resolution gridded rainfall data. Statistical trend analysis was conducted using the Mann-Kendall test, Sen’s slope estimator, and the Modified Mann-Kendall test (after removing serial correlation through pre-whitening) at a 5% significance level. The dataset was divided into pre-industrial (1951–1985) and post-industrial (1986–2020) periods for temporal comparison. Rainfall trends were evaluated seasonally and monthly using R Studio (packages trend and modifiedmk) and spatially visualized in ArcGIS 10.3.1. Results show increasing pre-monsoon rainfall during the pre-industrial period, with Barwani and Balaghat experiencing the greatest changes. Monsoon trends varied spatially, with post-industrial years showing an overall increase—maximum rise in Dhar (+0.3922 mm/yr) and decline in Bhind (–0.3286 mm/yr). Post-monsoon and winter rainfall exhibited minimal variation. On a monthly scale, March and April showed notable increases, particularly in Shajapur district.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book analyzes spatial and temporal rainfall variability across Madhya Pradesh using 70 years (1951-2020) of high-resolution gridded rainfall data. Statistical trend analysis was conducted using the Mann-Kendall test, Sen's slope estimator, and the Modified Mann-Kendall test (after removing serial correlation through pre-whitening) at a 5% significance level. The dataset was divided into pre-industrial (1951-1985) and post-industrial (1986-2020) periods for temporal comparison. Rainfall trends were evaluated seasonally and monthly using R Studio (packages trend and modifiedmk) and spatially visualized in ArcGIS 10.3.1. Results show increasing pre-monsoon rainfall during the pre-industrial period, with Barwani and Balaghat experiencing the greatest changes. Monsoon trends varied spatially, with post-industrial years showing an overall increase-maximum rise in Dhar (+0.3922 mm/yr) and decline in Bhind (-0.3286 mm/yr). Post-monsoon and winter rainfall exhibited minimal variation. On a monthly scale, March and April showed notable increases, particularly in Shajapur district. Seller Inventory # 9786209260582
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Paperback. Condition: new. Paperback. The book analyzes spatial and temporal rainfall variability across Madhya Pradesh using 70 years (1951-2020) of high-resolution gridded rainfall data. Statistical trend analysis was conducted using the Mann-Kendall test, Sen's slope estimator, and the Modified Mann-Kendall test (after removing serial correlation through pre-whitening) at a 5% significance level. The dataset was divided into pre-industrial (1951-1985) and post-industrial (1986-2020) periods for temporal comparison. Rainfall trends were evaluated seasonally and monthly using R Studio (packages trend and modifiedmk) and spatially visualized in ArcGIS 10.3.1. Results show increasing pre-monsoon rainfall during the pre-industrial period, with Barwani and Balaghat experiencing the greatest changes. Monsoon trends varied spatially, with post-industrial years showing an overall increase-maximum rise in Dhar (+0.3922 mm/yr) and decline in Bhind (-0.3286 mm/yr). Post-monsoon and winter rainfall exhibited minimal variation. On a monthly scale, March and April showed notable increases, particularly in Shajapur district. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9786209260582
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The book analyzes spatial and temporal rainfall variability across Madhya Pradesh using 70 years (1951-2020) of high-resolution gridded rainfall data. Statistical trend analysis was conducted using the Mann-Kendall test, Sen's slope estimator, and the Modified Mann-Kendall test (after removing serial correlation through pre-whitening) at a 5% significance level. The dataset was divided into pre-industrial (1951-1985) and post-industrial (1986-2020) periods for temporal comparison. Rainfall trends were evaluated seasonally and monthly using R Studio (packages trend and modifiedmk) and spatially visualized in ArcGIS 10.3.1. Results show increasing pre-monsoon rainfall during the pre-industrial period, with Barwani and Balaghat experiencing the greatest changes. Monsoon trends varied spatially, with post-industrial years showing an overall increase-maximum rise in Dhar (+0.3922 mm/yr) and decline in Bhind (-0.3286 mm/yr). Post-monsoon and winter rainfall exhibited minimal variation. On a monthly scale, March and April showed notable increases, particularly in Shajapur district.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 204 pp. Englisch. Seller Inventory # 9786209260582
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