1,253,338 research outputs found

    West Midlands region catchment appraisal 2007

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    Annual run-off likely to occur was calculated for farm-scale catchments within the 500-825 millimetre rainfall zone of the South West Catchment Council [Western Australia] area. When compared with historical flow measurements, this method was found to be accurate (or conservative) in 85% of all measured years, indicating its usefulness for predicting reliable annual flows

    Three and Four Region Multi-sector Linear Modelling Using UK Data : Some Preliminary Results

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    Scotland and Wales have relatively up-to-date, independently generated, IO tables. These can be separated out from a UK national IO table to construct an inter-regional table. We therefore undertake the detailed analysis at this three-region (Scotland, Wales and the Rest of the UK (RUK)) level, where the Rest of the UK is England and Northern Ireland. However, we also construct a more rudimentary four-region (Scotland, Wales, England and Ireland) set of IO and SAM accounts by constructing a separate Northern Ireland accounts. The inter-regional IO and SAM models are produced for the year 1999. This was determined by the availability of consistent data. In Section II we describe the construction of a three-region Input-Output model for the United Kingdom, which includes the regions of Scotland, Wales and the Rest of the UK (RUK). In Section III we extend the three-region model to construct an inter-regional Social Accounting Matrix. Section IV reports some results using the three-region IO and SAM models. In Section V, we generate a four-region IO and SAM model for the UK, which disaggregates Northern Ireland from the Rest of the UK, and provide some results using the four-region IO and SAM models. Section VI offers our conclusions

    Regional variations in labor force behavior of women in Japan

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    This study uses cross-sectional data to investigate the regional differences in women's participation in the labor market. Women's participation is high in the northern coastal region of Japan. Their high rate of participation is caused by the fact that married women with children participate as regular full-time eployees. A possible explanation for the high participation in the northern coastal region is a combination of (1) a high degree of manufacturing in the northern coastal region and (2) supply side factors that motivate women to work.Regional differences, regular employment, part-time employment, Japan

    Regional differences in the profile of disabled community-dwelling older adults: a European population-based cross-sectional study

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    The main objective of this work was to estimate the prevalence of disability in European community-dwelling older adults, as well as to investigate differences in the profile of disabled older adults between European regions (Northern, Central, Eastern and Southern). A cross-sectional study based on wave 6 (2015) of the Survey of Health, Ageing and Retirement in Europe (SHARE) was conducted. Community-dwelling participants aged 65-84 were selected (n = 33,369). Disability was defined as presenting at least one functional limitation in basic activities of daily living (BADL). Sociodemographic, health services, lifestyle and health-related variables were analyzed. Statistical analysis was carried out through the Chi-square and ANOVA tests for bivariate analysis, and Poisson regression for multivariate analysis. Overall prevalence of disability was 13.8%: 9.4% in the Northern region, 13.1% in the Southern region, 13.6% in the Central region, and 16.6% in the Eastern region. Portugal, Poland, Estonia and Belgium showed the highest prevalence of BADL limitations, while Sweden, Denmark, Greece and Switzerland showed the lowest prevalence. Besides, disabled older adults from East Europe presented the most disadvantaged health profile, followed by the Southern region. On the other hand, disabled older adults living in the Northern region showed the most advantaged characteristics of most variables, except for smoking and polypharmacy

    UNICEF IWASH Project, Northern Region, Ghana : an adapted training manual for groundwater development

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    This report is an adapted training manual, with specific best practice recommendations for groundwater development practitioners working in the Northern Region, Ghana. It is designed to be used in conjunction with the existing comprehensive training manual ‘Developing Groundwater: a guide to rural water supply’ by MacDonald, Davies, Calow and Chilton (2005). The additional guidelines provided in this supplementary report are specific to the Northern Region of Ghana, and have been informed by a review of groundwater development in the region which BGS carried out on behalf of UNICEF in 2010-2011. The Northern Region is a difficult area in which to find and develop groundwater resources. For this reason, more resources – time and money – need to be focussed on careful borehole siting and development in order to maximise success. This includes detailed desk and field reconnaissance surveys; the effective use and interpretation of geophysical siting methods; collection of good quality data during drilling and test pumping; rigorous recording and management of data; and effective interpretation, sharing and use of hydrogeological information by all groundwater development practitioners. This report, and the associated manual ‘Developing Groundwater’, provide practical help for carrying out these activities effectively. The authors gratefully acknowledge those persons who contributed to the formation of these guidelines, who include: UNICEF Ghana – Othniel Habila, Kabuka Banda and David Ede Community Water and Sanitation Agency (CWSA), Ghana – John Aduakye Canadian International Development Agency (CIDA) – Hydrogeological Assessment Project (HAP) – James Racicot All participants at the UNICEF/BGS workshop and training programme held in Tamale, Northern Region, from 7 to 18 February 2011

    The Northern Eurasia Earth Science Partnership: An Example of Science Applied to Societal Needs

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    Northern Eurasia, the largest landmass in the northern extratropics, accounts for ~20% of the global land area. However, little is known about how the biogeochemical cycles, energy and water cycles, and human activities specific to this carbon-rich, cold region interact with global climate. A major concern is that changes in the distribution of land-based life, as well as its interactions with the environment, may lead to a self-reinforcing cycle of accelerated regional and global warming. With this as its motivation, the Northern Eurasian Earth Science Partnership Initiative (NEESPI) was formed in 2004 to better understand and quantify feedbacks between northern Eurasian and global climates. The first group of NEESPI projects has mostly focused on assembling regional databases, organizing improved environmental monitoring of the region, and studying individual environmental processes. That was a starting point to addressing emerging challenges in the region related to rapidly and simultaneously changing climate, environmental, and societal systems. More recently, the NEESPI research focus has been moving toward integrative studies, including the development of modeling capabilities to project the future state of climate, environment, and societies in the NEESPI domain. This effort will require a high level of integration of observation programs, process studies, and modeling across disciplines

    Construction of a multi-sectoral inter-regional IO and SAM database for the UK

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    The purpose of this paper is to explain the construction of the input-output (IO) and social accounting matrix (SAM) databases for the inter-regional computable general equilibrium (CGE) model of the UK developed as part of the project 'An Analysis of National and Devolved Economic Policies' undertaken as part of the ESRC Devolution and Constitutional Change research programme. We identify four main regions of the UK: Scotland, Wales, Northern Ireland and England. However, in Section 2, we begin by constructing a set of two-region accounts where we focus on Scotland, Wales or Northern Ireland with the other aggregate 'region' labelled 'rest of the UK' or RUK. Then, in Section 3, we extend to a three-region framework where we identify Scotland, Wales and RUK. Finally, in Section 4, we extend further to construct the full 4-region IO and SAM
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