The input of emerging pollutants into the natural environment is of considerable concern due to their potential implications for the health and development of humans and wildlife. Knowledge of the occurrence and removal (by sewage treatment) of these chemicals is limited and there is a need for these to be investigated if the transport and fate of these chemicals is to be better understood. To develop our understanding, reliable, accurate and precise measurements of these compounds at the very low (often sub-nanogram) concentrations at which they may be found, and may still be toxic, is crucial. However, as a result of the increasing international concern, increasing research attention has led to a large number of analytical techniques described as being suitable for the analysis of these compounds; this fragmentation and lack of collaborative focus is likely to have resulted in a lack of refinement of the techniques employed. In this research, a number of these proposed analytical and sample pre-treatment techniques have been assessed, both by internal experimentation and through inter-calibration with collaborating laboratories, to identify which techniques are best suited to further development for research in this area, and have subsequently been optimised, to examine the removal efficacy of traditional and novel sewage treatment techniques, and to monitor EDC and Pharmaceutical concentrations in several UK rivers. Monitoring of the river Ray, Swindon, UK over a period of three years, using spot-sampling and 24-hour and 7-day integrated sampling, combined with solid-phase extraction (SPE) followed mass spectrometric analyses, showed stable EDC and pharmaceutical levels, typical of comparable rivers throughout the EU, but with a significant reduction in concentrations after the installation of a granular activated charcoal plant at the Rodbourne Sewage Treatment Works (STW) of which the river Ray is a conduit. These results were in agreement with results from analyses biological assays, such as yeast estrogen screening performed independently by another laboratory.

Building on the development of a research agenda, the research used best practices in the UK and other developed countries to design the aims and objectives from which the methods were developed. Based on the research agenda, trends in household behaviour in Cameroon were examined in order to identify, and generate baseline information to provide a sound evidence base essential for robust policy development in education, capacity building in composting involving the third sector organizations in Cameroon. To determine attitudes, Q methodology was used. Factor analysis produced nine and eight factors representing distinct behavioural patterns of public concerns, opinions and beliefs in household waste management in Douala and Limbe. Interpreting these factors revealed 12 attitudes to household waste management practices and this will be used to design strategies. A waste composition analysis found the organic fraction >60% with the lowest per capita waste generation (0.86 kg) in the high income residential area (HIRA) and the highest (1.38 kg) in the low income residential area (LIRA) of Douala in the wet season. In the dry season, the medium income residential area (MIRA) had the highest (1.11 kg) with the lowest (0.71 kg) in the HIRA. For both seasons in Limbe, HIRA had the highest while the LIRA had the lowest. Pearson correlation and regression was used to show the relationship between waste generation and household size. The research determined barriers and success factors for composting as part of a strategy. Barriers included household hazardous waste (HHW) and odour at composting sites because more than 50% of the composted waste was food waste with high humidity especially in the wet season. This affected public acceptance to composting. A success factor is that the market for compost is increasing and is expected to increase to 30% by 2013. Added to this, more than 50% of the participating households showed positive intentions and willingness to composting. Hence, composting is expected to be a major economic activity for Cameroonians and become a national practice

Atmospheric dispersion models are being increasingly used by local authorities in the United Kingdom as part of their urban air quality management programmes. Output from dispersion models now forms a vital part of any environmental impact assessment, road improvement or traffic management scheme or environmental health study. This study is centred primarily on Northampton, a county town in Southern England and is concerned with the limitations of meteorological data available to local authorities. The first part of the study investigates the variation in certain key meteorological parameters both within Northampton and between synoptic stations up to 70 kilometres away. The second part examines modelling outcomes using different sets of meteorological data and evaluates the performance of an urban dispersion model in relation to monitored air quality data. Special emphasis is placed on the use of cloud cover as a meteorological input variable. A small case study of monitoring and modelling work carried out in the London Borough of Richmond is also presented

Waste Strategy 2000 (Waste Strategy for England and Wales) as well as the Waste Strategy for England 2007 laid out a fairly conservative agenda for the future of waste management in England as it responded to the developing EU Legislative drive for sustainable practice. A careful analysis of the Strategy, in around 2001, whereby likely future delivery was compared to EU requirements revealed that the UK (being disaggregated into 4 separate strategies) was unlikely to meet targets, in particular the Landfill Directive. The production of the Strategy Unit report Waste Not Want Not (2002) signalled up the requirement for a rapid increase in the rate of adoption of more sustainable practice. The result was the formation of the Waste Implementation Programme (WIP) in Defra, with its initial 8 streams of activity, including waste minimisation / prevention and pro-environmental behaviour. This research agenda approaches the topic from considering the requirements of a Regional Waste Management Strategy and in particular the knowledge requirements of a Regional Technology Advisory Board (RTAB) in developing waste strategy for the East Midlands. Firstly, starting with an extensive literature review to ascertain current practice, and based on rigorous methods and methodology the research investigated household waste prevention activities and developed techniques to measure impacts of individual and aggregated waste prevention. This research revealed a significant drop in the volume of waste arisings in a pilot area, indicating that it is possible to reduce household waste with a well designed campaign. Secondly, to support the research, Q methodology was used to identify issues of concern for designing waste prevention campaigns. Thirdly, a case study of Northamptonshire to identify potential suitable areas for siting of waste management facilities, using GIS tools, so as to identify possible target areas for future public information campaigns was developed.

There is an increasing demand for information for the rational assessment and reporting of the state the environment, to detect change and to assess the effectiveness of policy or management measures. The research investigated the use of information by conservation organisations through case studies in the Statutory Nature Conservation Agencies and the North York Moors National Park. The results highlighted a number of key problems in the organisational use of information and in the content and utility of the data available. These included the lack of an organisational culture of information use, imperfect knowledge and utilisation of available data, the need to meet changing information demands and the requirement to produce comparable local, regional and national habitat stock estimates. Many of the data deficiencies highlighted would appear to be met by the Countryside Survey (CS) initiative. Despite offering potentially suitable data, with a combination of an environmental stratification (the ITE land class system), field survey and remotely sensed data, this source was little used. Thus, the study sought to assess the scope for comparing CS data with other habitat estimates and for improving the accuracy of these data through the use of Geographical Information Systems (GIS). Three main techniques were employed, modified areal weighting, modified areal weighting with control zones and intelligent weighting’ a hybrid approach in which Land Cover Map of Great Britain (LCMGB) data were employed to redistribute Countryside Survey 1990 (CS9O) totals within ITE land classes. The research found that sub-land class estimates from CS9O data could be improved in some circumstances. In most cases, LCMGB provided better estimates of habitat location and quantity than CS9O. In a few cases, the intelligent weighting method improved the interpolation of CS9O estimates. It is suggested that regional habitat estimates may be improved further through greater within-land class differentiation, an increase in within-land class sampling intensity or stratification and the further development of the LCMGB. The problems faced in integrating, analysing and using available geographic data are considered and conclusions presented

Loss of biodiversity has been in the forefront of conservation issues worldwide since the last century. Biodiversity conservation through restoring degraded habitats or creating new habitats is advocated in the UK Biodiversity Action Plan. Newly created grasslands on restored landfill sites are semi-natural habitats that could support a number of species. However, it is unknown whether these re-created habitats represent a significant resource in terms of biodiversity conservation though poor quality soil was being used for restoration. A multi-taxon approach was applied to examine the biodiversity potential of these novel habitats. Plants (vascular plants and bryophytes), invertebrates (carabid beetles and land snails), and vertebrates (birds) were studied on nine restored landfill sites and paired reference sites in the East Midlands region of the UK during 2007 and 2008. Plant species data were collected by random quadrats along two 100m transects from each site; carabid beetles were censused by pitfall traps; land snails were investigated by hand searches along the transects; and bird species were assessed using point counts. Effects of restoration were investigated by examining species richness, diversity or abundance of studied taxa and also how habitat quality and landscape factors determined species composition on restored landfill sites. A total of 170 plant species (162 vascular plants and 8 bryophytes), 37 carabid beetle, 17 land snail and 12 bird species were found in the studied sites. Species richness and diversity or abundance of studied taxa on restored landfill sites were found to be equal to or above that of reference sites. Compositional differences were found between taxa on restored landfill sites and their corresponding reference sites. Though vegetation composition including NVC plant communities on restored landfill sites was rather homogeneous compared to reference sites, restored landfill sites were found to support a number of nationally decreasing native plant species and of common species of other taxa and also a number of Red List bird species such as Skylark (Alauda arvensis), Grey partridge (Perdix perdix), Lapwing (Vanellus vanellus), Tree sparrow (Passer montanus) and Starling (Sturnus vulgaris). Habitat quality and landscape variables were found to be significant predictors for different species. Underlying soils were found to be an important factor in determining the heterogeneity of the plant communities within the study area which in turn dictates suitability of habitat for other taxonomic groups. A lack of congruency between taxa supports the incorporation of a multi-taxa approach into restoration plans. Management in terms of cutting or mowing of these landfill sites were found to have varying influences on different taxa. Moreover, restored landfill sites had less disturbance than reference sites as there was restricted access to dog walkers and for recreational purposes. This may be one of the main factors that could enhance the richness and abundance of a number of taxa, especially bird species. Management of these landfill sites should be targeted on species-specific goals as these sites can play a significant role in Local Biodiversity Action Plans. Overall, this study indicates that restored landfill sites have potential biodiversity conservation value in a complex modified human landscape.

Some sociologists have suggested that focusing on individual behaviour change to reduce emissions detracts attention from larger structural issues. The first part of this thesis draws on mixed methods (1 interview study and 3 experimental studies) to look at the relationship between views on individual and structural levels of climate change mitigation. Interviewees mostly suggested individual behaviour change as a means for addressing climate change. The subsequent experimental studies investigate to what extent support for structural level change is minimised by focusing attention on individual behaviour change, but no such evidence emerged. However, there are other unexpected outcomes: for example, participants judge recycling to be one of the most impactful behaviours, illustrating that people's judgements of effective climate change mitigation may need revising. The second part of the thesis relates to suggestions that lack of personal experience of climate change partly explains people's inaction. Drawing on fieldwork consisting of 77 interviews conducted in California on people's experience of drought, I firstly explore how people experience the drought itself; such as what changes they note and how drought perceptions are influenced by location. Secondly, I discuss whether and why people tend to think that drought and climate change are related or not. Importantly, people mostly interpret the drought according to their pre-existing climate change beliefs, so that if they already believed climate change was happening then the drought is treated as further evidence, whereas those who were sceptical of climate change usually see the drought as part of a natural cycle. In conjunction these studies expand the existing literature on views towards climate change mitigation and the role that personal experience plays in understandings of climate change.

The utilisation of a willow vegetation filter for the treatment of landfill leachate is an environmentally and economically appealing solution for landfill operators. Investigations into the design and efficacy of the system, the effects of landfill leachate irrigation on soil ecology, soil chemistry and willow growth were undertaken. Two low cost, high density polyethylene-lined experimental willow plots (25x50 m2) were installed at Cranford landfill, Northamptonshire, UK, and irrigated with landfill leachate between June 2001 and October 2005. During the growing season, leachate volume was often reduced to zero. On other occasions, maximum removal efficiencies of between 33 % and 75 % for total Kjeldahl nitrogen, chemical oxygen demand and sodium, potassium and chloride ions were determined in landfill leachate effluent samples. The addition of landfill leachate produced no negative effects on both soil and foliar macronutrients, which were found to be in the range for sufficient or optimum growth and where additional fertilisers would not bring about a further increase in yields. The effects of landfill leachate application on soil microbial communities were explored and were found to be significantly higher for dehydrogenase activity and ammonium oxidising bacteria in the plot receiving a higher rate of leachate application. An economic analysis was carried out to demonstrate the financial viability of a willow vegetation filter as a treatment for landfill leachate. Willow vegetation filters could provide a desirable alternative to conventional treatment systems, such as sequencing batch reactors, as they incur lower capital expenses and potentially similar operational costs. This study also identified additional revenue benefits in the region of £94 per hectare for wood chip heat/energy production. The results from the willow vegetation filter under investigation in this study demonstrated that this type of system can be effective, in terms of volume reduction and removal efficiency in landfill leachate, with no detrimental effect upon the trees or surrounding environment

This thesis describes PatchMapper, a model combining a population simulator based on individual behaviour, with a spatially explicit representation of a landscape. To investigate the robustness of the technique, representatives of three major taxa were modelled: the nuthatch (Sitta europaea L.), the white-footed mouse (Peromyscus leucopus Rafinesque) and the black hairstreak (Satyrium pruni L.). For the nuthatch and white-footed mouse, the performance of PatchMapper was compared with published models of the same species, but using different approaches, including, for the nuthatch, a comparison against observed numbers in a real landscape. To investigate the behaviour of the model, a sensitivity analysis was also undertaken. Written in Java, for portability, the model enables the user to select demographic and behavioural parameters via an interactive interface and includes a real-time (computer) display of the position of individuals during the simulation. Novel aspects of the model include perceptual range and field-of-view. Internally generated neutral landscapes can be used for modelling general cases, with imported digitised landscapes enabling specific study areas to be modelled. Habitat area and habitat quality dynamics can also be modelled. Dispersal flow diagrams can be generated, providing a visual explanation of the effects of landscape changes on inter-patch dispersal paths and populations in target patches. Performance compared well with published models, predicting a feasible match with observed numbers of nuthatches in the real landscape. Revealing predictable and realistic responses, the sensitivity analysis revealed that the model coding was valid. The value of specific case studies was illustrated, along with the dangers of relying on intuition when evaluating the response of species to habitat fragmentation. The individual-based SEPM approach was found to be best suited to the modelling of univoltine territorial species (such as nuthatch), with a single dispersal phase between fledging and territorial establishment. When demonstrating the model, the visual outputs proved particularly effective. Providing a set of features not seen in published models and enabling modelling at both local and landscape scales, PatchMapper is offered as a prediction tool for those engaged in activities such as biodiversity conservation and habitat management

The complex nature of waste management and planning requires a long-term strategic policy formation approach incorporating sustainable development principles. Consequently, the transition from a waste paradigm to valuing materials as resources is central for transitioning towards a 'zero waste' future. A need is identified, via infrastructure planning, to move beyond short-term forecasting and predictive methods previously used in waste research in order to overcome target-driven decision-making. The application of a participatory backcasting methodology: visioning, baseline assessment, scenario development and feasibility testing; produced transformative scenarios which are visualised using GIS reflecting the choices, ideas and beliefs of participants. The structural governance (e.g. waste infrastructure planning and strategic waste policy) of an English county is used to evaluate the efficacy of waste management scenarios. A quantitative model was developed to test scenarios for three metrics (tonnages, economics and carbon). The final model utilises the synergy between backcasting and GIS to spatially and temporally analyse empirically quantified outputs. This structured approach produced three transformative scenarios and one reference scenario. Waste prevention and changes to systemic waste generation produced long-term tonnage reductions across the transformative scenarios. Costs of future waste management witnessed the reference scenario outperforming one of the transformative scenarios; while the highest emissions savings were attributable to the scenario most closely reflecting the notion of 'deep sustainability'. In terms of waste infrastructure planning, a centralised pattern of large integrated facilities emphasising catchments rather than administrative boundary were most effective. All three transformative scenarios surpassed the 90% recycling and recovery level used as the zero waste benchmark. The research concludes that backcasting can offer a range of potential futures capable of achieving an arbitrary definition of zero waste. Further, these futures can be visualised and analysed via GIS; enhancing stakeholder engagement. Overall, the GIS-based Backcasting Framework Model (G-BFM) produced has the potential to benefit a range of stakeholders and practitioners and is strategically scalable.