Search Results
You are looking at 1 - 3 of 3 items for
- Author or Editor: W. J. MAUNDER x
- Refine by Access: All Content x
EFFECT OF SIGNIFICANT CLIMATIC FACTORS ON AGRICULTURAL PRODUCTION AND INCOMES
A NEW ZEALAND EXAMPLE
Abstract
Recent studies relating to the human use of the atmosphere have emphasized the need for investigations into the economics of weather and climate. They reveal that little attention has been given by meteorologists to the non-scientific gains of their profession. Of the many gains, those affecting the agricultural community are of primary importance. The technique of assessing the gains associated with monetary variations in agricultural production is examined through the use of an “agroclimatological model” for several agricultural products in New Zealand.
The most significant partial correlations were examined, the subsequent analysis indicating the importance of climatic variations on various aspects of agricultural production, and their effects on agricultural incomes. The major finding of the analysis is the significance of climatic factors in their influence on butterfat production, a “significant” climatic variation such as a “wet” January, for example, being “worth” about $N.Z. 2 million to the dairy farmers in South Auckland—New Zealand's premier dairying area.
Abstract
Recent studies relating to the human use of the atmosphere have emphasized the need for investigations into the economics of weather and climate. They reveal that little attention has been given by meteorologists to the non-scientific gains of their profession. Of the many gains, those affecting the agricultural community are of primary importance. The technique of assessing the gains associated with monetary variations in agricultural production is examined through the use of an “agroclimatological model” for several agricultural products in New Zealand.
The most significant partial correlations were examined, the subsequent analysis indicating the importance of climatic variations on various aspects of agricultural production, and their effects on agricultural incomes. The major finding of the analysis is the significance of climatic factors in their influence on butterfat production, a “significant” climatic variation such as a “wet” January, for example, being “worth” about $N.Z. 2 million to the dairy farmers in South Auckland—New Zealand's premier dairying area.
Abstract
Daily engineering records from two road construction projects near Jefferson City, Mo., for the years 1965–68 were combined with soil moisture and precipitation measurements from nearby meteorological stations to develop a model capable of producing an experimental series describing conditions suitable for road building activities. This model was then applied to a long-term series of daily precipitation records for Jefferson City (1918–65) to calculate road construction conditions over this period. Monthly and seasonal statistics describing the feasibility of various levels of road building activity are presented for the 48-yr period. These statistics include second-order Markov chain probability estimates of working and nonworking days. Aside from the inferences which can be directly drawn from the seasonal and monthly descriptive data, the statistics may have value in developing further simulation models for estimating the effects of various management strategies.
Abstract
Daily engineering records from two road construction projects near Jefferson City, Mo., for the years 1965–68 were combined with soil moisture and precipitation measurements from nearby meteorological stations to develop a model capable of producing an experimental series describing conditions suitable for road building activities. This model was then applied to a long-term series of daily precipitation records for Jefferson City (1918–65) to calculate road construction conditions over this period. Monthly and seasonal statistics describing the feasibility of various levels of road building activity are presented for the 48-yr period. These statistics include second-order Markov chain probability estimates of working and nonworking days. Aside from the inferences which can be directly drawn from the seasonal and monthly descriptive data, the statistics may have value in developing further simulation models for estimating the effects of various management strategies.
Abstract
A simulation model is applied to a long series (1918–65) of daily rainfall observations to produce an experimental series of operational records on the weather-sensitive portion of a road building project. These records are analyzed statistically for various periods of time within the normal construction season and the resulting statistics are examined for their potential usefulness in the management of road construction.
Abstract
A simulation model is applied to a long series (1918–65) of daily rainfall observations to produce an experimental series of operational records on the weather-sensitive portion of a road building project. These records are analyzed statistically for various periods of time within the normal construction season and the resulting statistics are examined for their potential usefulness in the management of road construction.
