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RIVER FLOW FORECASTING DURING THE VEGETATION PERIOD IN THE KASHKADARYA BASIN BASED ON REMOTE SENSING DATA

Field of Science:Environmental Science (miscellaneous)Nature and Landscape ConservationWater Science and TechnologyGeography, Planning and Development
National field of science (HAC):03.00.10 — Ecology03.00.13 — Soil science04.00.04 — Hydrogeology and engineering geology05.09.04 — Water supply. Sewerage. Construction systems for water body protection06.03.01 — Forest plantations. Breeding, seed production and urban greening. Agroforestry and establishment of protective forests05.10.02 — Safety in emergencies. Fire, industrial, nuclear and radiation safety06.01.02 — Land reclamation and irrigated farming06.01.03 — Agro-soil science and agrophysics06.01.10 — Land management, cadastre and land monitoring06.03.02 — Forest inventory and forest mensuration. Forest science and silviculture. Forest fires and their control06.03.03 — Introduction of medicinal plants, cultivation technology and agro-pharmaecology11.00.01 — Physical geography11.00.03 — Land hydrology. Water resources. Hydrochemistry11.00.04 — Meteorology. Climatology. Agrometeorology11.00.05 — Environmental protection and rational use of natural resources16.00.04 — Veterinary pharmacology and toxicology. Veterinary sanitation, ecology, zoo hygiene and veterinary-sanitary examination05.09.07 — Hydraulics and engineering hydrology
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Hydrometeorology and environmental monitoring

Hydrometeorology and environmental monitoring

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ARTICLE ANNOTATION

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This paper explores the applicability of two remote sensing–based approaches for forecasting river runoff in the Kashkadarya basin during the vegetation period: the snow cover area model and the snow cover index model. Using MODIS satellite imagery and the MODSNOW software, snow cover areas within the basin at elevations of 500 m and 1000 m were determined, and river discharge was subsequently forecasted for the vegetation period. The obtained results were compared with in-situ hydrological observations. The study demonstrates that the snow cover area–based model effectively represents runoff formation processes during the spring season, whereas the snow cover index–based approach provides more stable results during the summer period.

AUTHORS

A.Gafurov

"GIDROMETEOROLOGIYA ILMIY-TADQIQOT INSTITUTI" DAVLAT MUASSASASI

T.Axmedova

"GIDROMETEOROLOGIYA ILMIY-TADQIQOT INSTITUTI" DAVLAT MUASSASASI

N.Khursandova

"GIDROMETEOROLOGIYA ILMIY-TADQIQOT INSTITUTI" DAVLAT MUASSASASI

Tags

# discharge# area# remote# sensing# modis# hydrological# index# snow# modeling# multiple# forecasting# regression# linear# sca# cover# sci# river# vegetation# period

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