The Medway Valley: a Kent landscape transformed

In 1750 the lower Medway Valley, the area between the towns of Maidstone and Rochester, was firmly part of Kent's 'Garden of England'. A century later, this tranquil, agrarian landscape had been transformed into a hive of industry and commerce, through the emergence of papermaking, cement manufacture, brickmaking, brewing, ship and barge building, seed crushing and engineering. The lower Medway Valley became synonymous with the production of Portland cement, stock bricks and the steam engines of Aveling and Porter, yet, by the end of the Second World War, much of this industry was gone. "The Medway Valley: A Kent Landscape Transformed", the first Victoria County History publication in Kent for over 75 years, charts this cyclical story of landscape change. It explores how the quiet, rural landscape of a collection of eight riverside parishes around Rochester was dramatically transformed during industrialization, before returning to its formal rural state. This volume traces the impact of industrial development and decline on the valley and its people. It details changing patterns of work and society, the creation of new settlements and the pivotal role of the river in all aspects of village life reflecting two centuries of change and upheaval.

Modelling high particulate matter and ozone episodes in the Trans-Manche region

There is concern in the Cross-Channel region of Nord-Pas-de-Calais (France) and Kent (Great Britain), regarding the extent of atmospheric pollution detected in the area from emitted gaseous (VOC, NOx, S02)and particulate substances. In particular, the air quality of the Cross-Channel or "Trans-Manche" region is highly affected by the heavily industrial area of Dunkerque, in addition to transportation sources linked to cross-channel traffic in Kent and Calais, posing threats to the environment and human health. In the framework of the cross-border EU Interreg IIIA activity, the joint Anglo-French project, ATTMA, has been commissioned to study Aerosol Transport in the Trans-Manche Atmosphere. Using ground monitoring data from UK and French networks and with the assistance of satellite images the project aims to determine dispersion patterns. and identify sources responsible for the pollutants. The findings of this study will increase awareness and have a bearing on future air quality policy in the region. Public interest is evident by the presence of local authorities on both sides of the English Channel as collaborators. The research is based on pollution transport simulations using (a) Lagrangian Particle Dispersion (LPD) models, (b) an Eulerian Receptor Based model. This paper is concerned with part (a), the LPD Models. Lagrangian Particle Dispersion (LPD) models are often used to numerically simulate the dispersion of a passive tracer in the planetary boundary layer by calculating the Lagrangian trajectories of thousands of notional particles. In this contribution, the project investigated the use of two widely used particle dispersion models: the Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model and the model FLEXPART. In both models forward tracking and inverse (or·. receptor-based) modes are possible. Certain distinct pollution episodes have been selected from the monitor database EXPER/PF and from UK monitoring stations, and their likely trajectory predicted using prevailing weather data. Global meteorological datasets were downloaded from the ECMWF MARS archive. Part of the difficulty in identifying pollution sources arises from the fact that much of the pollution outside the monitoring area. For example heightened particulate concentrations are to originate from sand storms in the Sahara, or volcanic activity in Iceland or the Caribbean work identifies such long range influences. The output of the simulations shows that there are notable differences between the formulations of and Hysplit, although both models used the same meteorological data and source input, suggesting that the identification of the primary emissions during air pollution episodes may be rather uncertain.