Andere Kunden interessierten sich auch für
![Livelihoods and Well-Being in the Era of Climate Change]( "Livelihoods and Well-Being in the Era of Climate Change")
Livelihoods and Well-Being in the Era of Climate Change151,99 €![Rainfall variability and trends in the Rio Doce/MG basin]( "Rainfall variability and trends in the Rio Doce/MG basin")
Rainfall variability and trends in the Rio Doce/MG basin24,99 €![Dirty Secrets of Nuclear Power in an Era of Climate Change]( "Dirty Secrets of Nuclear Power in an Era of Climate Change")
Dirty Secrets of Nuclear Power in an Era of Climate Change22,99 €![Smart Infrastructures in the IoT Era]( "Smart Infrastructures in the IoT Era")
Smart Infrastructures in the IoT Era92,99 €![Business Resilience and Digital Technology in the Post-Pandemic Era]( "Business Resilience and Digital Technology in the Post-Pandemic Era")
Business Resilience and Digital Technology in the Post-Pandemic Era129,99 €![Rainfall trends and their influence on maize production in Brazil]( "Rainfall trends and their influence on maize production in Brazil")
Rainfall trends and their influence on maize production in Brazil27,99 €![A New Era of Polycyclic Aromatic Hydrocarbons]( "A New Era of Polycyclic Aromatic Hydrocarbons")
A New Era of Polycyclic Aromatic Hydrocarbons113,99 €
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.