Wyniki wyszukiwania - BazTech

Ograniczanie wyników

2 Rozbicki T.

Znaleziono wyników: 2

Liczba wyników na stronie

Wyniki wyszukiwania

Wyszukiwano:
w słowach kluczowych: modele pogoda-plon

Sortuj według:

Ogranicz wyniki do:

Złożone zmienne niezależne w modelach pogoda - plon

Rozbicki T.

Przegląd Naukowy Inżynieria i Kształtowanie Środowiska

2007

Vol. 16, No. 2

3--10

The relationships between the yield and meteorological elements have been stated by the use of multiple regression model selection. Winter wheat yield was taken as dependent variable and three groups of meteorological elements were taken as independent variables. Simple meteorological elements belong to the first group of independent variables; their nonlinear combinations (square, square root) belong to the second group. The third group has included complex elements they are functions basing on the relationships between plant growing and environmental conditions among others meteorological conditions. Stations Sulejów has been the source of longterm meteorological, phonological and winter wheat yield data. The station is situated in central part of Poland and winter wheat is grown on medium type of soil. The regression equations including both simple meteorological elements, their nonlinear combinations and complex variables achieves the best statistical characteristics than the equations including simple elements only.

Zastosowanie wskaźników opadowych jako parametrów w modelowaniu agrometeorologicznym

Rozbicki T.

Przegląd Naukowy Inżynieria i Kształtowanie Środowiska

2005

Vol. 14, No. 2

102--110

The aim of the paper is to analyze relationship between winter wheat yield and selected indexes of precipitation and soil moisture conditions and consequently the attempt of estimation optimum precipitation condidons for the yield. Six meteorological stations and related to them phonological stations have been the source of long-term meteorological, phenological and winter wheat yield data.The stations are situated in three different climatic regions and winter wheat has been grown on diffetent types of soil. The relationships between the yield and meteorological elements have been stated by the use of multiple regression model selection. Winter wheat yield was taken as dependent variable and meteorological elements of air temperature, humidity, soil moisture and precipitation and time distribution of precipitation were taken as independent variables. The relationship equations between winter wheat yield and meteorological elements are strong and adjusted determination coefficients are in the range 69.5-81.9%. Precipitation anterior index, average amount of precipitation indexes and transformation of precipitation amounts (squared and square root) used as variables in the regression equations improve the correlation coefficients of these equations in comparison the equations including only simple meteorological elements.