Modeling the Semivariogram of Climatic Scenario around Rivers by Using Stream Network Mapping and Hydrological Indicator

Precipitation erosivity propels detrimental hydrological happenings with substantial eco-friendly and socio-economic influences. The conception of the precipitation-vegetation interface is very vital for implementing acclimatization mitigation techniques terrestrial bionetworks. Numerous investigations have reconnoitered spatial correlation context along season-precipitation quantity gradient. Here, comprehensive scrutiny spatio-temporal patterns climatology-vegetation response to seasonal variability incongruities in River Ikpoba, southern Nigeria, using principal component (PCS), semivariogram, cross-validation statistics, distribution mapping, indicators multi-source climatic datasets pre-impact flow (1913–1966) post-impact (1967–2022). PCS outcomes reveal seven PCs whose eigenvalues were greater than one hauled out twenty-five variables. Ikpoba water quality variables displayed a moderately strong rate reliance, which made it possible create map carefully chosen Results from further river duration curve show highest value between 900–1000cms month October. flow's was 65cms 2008, whereas 64cms. Likewise, 90 days’ minimum 250cms, 30 days 1180cms, 7 105cms, 1 day 105cms. Whereas maximum 7200cms, 3 6400cms days' 4500cms. This indicates that as progressed, increasing consecutive at low rate, but declined. As progresses, values decrease. Doi: 10.28991/HEF-2022-03-01-02 Full Text: PDF