Roland Hudák, Béla Gombos Hungarian University of Agriculture and Life Sciences Institute of Environmental Sciences Department of Irrigation and Land Improvement hudak.roland@uni-mate.hu
Agriculture, including crop cultivation, is the most weather- and climate-dependent economic activity. With the help of various weather-plant models and statistical correlation studies, it can be established that the average yield-increasing and yield-reducing effect of weather reaches or exceeds 20% for most economic plants. Precipitation is a climatic element which is showing extreme variability in space and time and the spatial distribution of precipitation is becoming more and more extreme year after year. Our research focused on the spatial distribution of precipitation on horizontal scale up to 1-2 km. We established a low cost rain gauge network with 18 plastic rain gauges which are widely used in the Hungarian private sphere in the settlement Csabacsűd located on the Great Hungarian Plain (N46.49°, E20.39°, 85 m above sea level) where we did daily measurements between May and September 2019. It was clearly visible in the results of the 4-month measurement program that the standard deviation and the CV value showed a decrease compared to the 2018 research year. However, larger differences were also detected this year with a difference of 8.8 mm in the case of a distance of 1400 meters. On 22.06.2019, a difference in the amount of precipitation of 3.7 mm was detected between two gauges located 220 meters apart. This value represents a difference of 1.68 mm/100 m. These data show that on-site measurements are needed in the growing season for practical agrometeorological purposes such as irrigation scheduling.
precipitation, spatial distribution, rain gauge network
Presentation: poster