No abstract is provided for this article.
The incidence of sulphur (S) deficiency has increased in many crops in the U.K. and other European countries in the last 10 years. Apart from the effects on yield, the S nutrition of a crop often has a strong influence on the quality of the produce. We have shown...
Current practice at the Florida Department of Transportation (FDOT) employs seasonal factors (SFs) in the calculation of annual average daily traffic (AADT) at portable traffic monitoring sites (PTMSs). Permanent traffic monitoring sites (TTMSs) are first manually classified into different groups (known as seasonal categories). These groups are based on similarities in the traffic characteristics of roads and on engineering judgment. FDOT districts then assign a SF category to each PTMS according to the site’s functional classification and geographical location. It is assumed that seasonal variability and traffic characteristics at the short-term and permanent count sites are similar in the same geographic area. A previous study investigated traffic and land use data in Southeast and North Florida, with the goal of making the SF assignment process more objective and data-driven, as this would improve the accuracy in AADT estimation for PTMSs. The results from that study demonstrated the possibility of identifying the link between land use variables and SFs. In this follow-up study, a state-wide investigation is conducted, and multiple linear regression analyses are carried out. These are used to identify possible factors contributing to the seasonal fluctuations in traffic volumes for urban and rural locations with a TTMS in Florida. Based on these factors, a methodology is developed to determine which TTMSs are most likely to share similar SFs with a PTMS in urban areas. This methodology may be improved and expanded for application to rural areas.
Rice consumption rates, on average, vary by nearly 3 orders of magnitude (0.9–650 g/person/d) for different countries, with Myanmar, Laos, Vietnam, Cambodia and Bangladesh, clustered around SE Asia, having the highest consumption rates (Fig. 3.1). At the other...
No abstract is provided for this article.
No abstract is provided for this article.
No abstract is provided for this article.
No abstract is provided for this article.