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The effect of apparent temperature on hospital admissions for cardiovascular diseases in rural areas of Pingliang, China

100%

Zhai G., Tian Y., Zhang K., Qi J., Chai G.

Annals of Agricultural and Environmental Medicine

2022

tom 29

nr 2

Demonstration of a remote sensing-modelling approach for irrigation scheduling and crop growth forecasting

72%

Dabrowska-Zielinska K., Moran M. S., Maas S. J., Pinter P. J., Kimball B. A., Mitchell T. A., Clarke T. R., Qi J.

Journal of Water and Land Development

2001

nr 05

The PROtotype Biomass and Evaporation (PROBE) model was developed for simulation of daily plant growth and evaporation (E) rates in natural, vegetated ecosystems (Maas et al., 1992). The inputs to the model are basic meteorological information and periodic (weekly or bi-weekly) measurements of green leaf area index (GLAI) and E. The model uses an interactive approach with two submodels - a vegetation growth (VG) submodel and soil water balance (SWB) submodel - where the estimate of GLAI from the VG submodel is used in the SWB submodel to calculate E. In turn, the estimate of E is used in a rerun of the VG submodel to refine the estimate of GLAI. This model was tested based on meteorological data and measurements of GLAI and E acquired in a cotton (Gossypium hirsutum L.) field in central Arizona. Overall, the modelled and measured values of GLAI and E corresponded well. Results showed that the time and precision of input data were very important to obtaining accurate estimates of GLAI and E. The model showed promise for use in scheduling crop irrigations.

Ograniczanie wyników

1 Annals of Agricultural and Environmental Medicine

1 Journal of Water and Land Development

2 Qi J.

1 Chai G.

1 Clarke T. R.

1 Dabrowska-Zielinska K.

1 Kimball B. A.

1 Maas S. J.

1 Mitchell T. A.

1 Moran M. S.

1 Pinter P. J.

1 Tian Y.

1 Zhai G.

1 Zhang K.

1 2022

1 2001

Wyniki wyszukiwania

The effect of apparent temperature on hospital admissions for cardiovascular diseases in rural areas of Pingliang, China

Demonstration of a remote sensing-modelling approach for irrigation scheduling and crop growth forecasting