𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Agroclimatic classification of the semi-arid tropics I. A method for the computation of classificatory variables

✍ Scribed by S.Jeevananda Reddy

Publisher
Elsevier Science
Year
1983
Weight
901 KB
Volume
30
Category
Article
ISSN
0002-1571

No coin nor oath required. For personal study only.

✦ Synopsis

A simple method based on rainfall (R) and potential evapotranspiration (PE) for deriving variables to classify the semi-arid tropics into relevant agronomically homogeneous zones is suggested. A term 'available effective rainy period' is introduced fbr this purpose. The available effective rainy period is defined as the number of consecutive weeks in which the 14-week moving average of R/PE is ~ 0.75, but for the initial week the value of R/PE is ~ 0.50. The preceding week is taken to be the week of commencement of the sowing rains. The method permits estimation of wet and dry spells during the available effective rainy period and an estimate of the likely percentage of cropfailure years. These selected parameters allow a more relevant and realistic assessment of the agroclimatic environment and agricultural production potential of a selected location or region.

πŸ“œ SIMILAR VOLUMES

Agroclimatic classification of the semi-
Agroclimatic classification of the semi-arid tropics II. Identification of classificatory variables
✍ S.Jeevananda Reddy πŸ“‚ Article πŸ“… 1983 πŸ› Elsevier Science βš– 971 KB

Eight agroclimatic variables related to crop production potential in the semi-arid tropics of India are identified. These are used to assess dry-seeding feasibility, waterlogging hazard, risk in agricultural production, cropping patterns and their spatial distribution, using data from 80 locations i

A novel method for examination of the va
A novel method for examination of the variable contribution to computational neural network models
✍ Lars I Nord; Sven P Jacobsson πŸ“‚ Article πŸ“… 1998 πŸ› Elsevier Science 🌐 English βš– 377 KB

Computational neural networks CNNs or, as they are commonly referred to; artificial neural networks, ANNs have been demonstrated in a large number of applications to be useful for modeling and prediction. They suffer, however, in their conventional use, that is feed forwardrback-propagation of the e

Modelling plant canopy effects on annual
Modelling plant canopy effects on annual variability of evapotranspiration and heat fluxes for a semi-arid grassland on the southern periphery of the Eurasian cryosphere in Mongolia
✍ Yinsheng Zhang; T. Ohata; J. Zhou; G. Davaa πŸ“‚ Article πŸ“… 2010 πŸ› John Wiley and Sons 🌐 English βš– 821 KB

## Abstract The ability to predict vegetation cover effects on thermal/water regimes can enhance our understanding of canopy controls on evapotranspiration. The Simultaneous Heat and Water (SHAW) model is a detailed process model of heat and water movement in a snow–residue–soil system. This paper