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Novel tools for quantifying and managing sediment and nutrient loss from agricultural land

Novel tools for quantifying and managing sediment and nutrient loss from agricultural land
用于量化和管理农田沉积物和养分损失的新工具
批准号:
2280708
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2019
资助国家:
英国
项目状态:
已结题
起止时间:
2019 至 --

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中文摘要
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英文摘要
This research project has arisen in relation to the EU's legislation of the Water Framework Directive established due to the global issue of soil erosion and nutrient loss threatening the water quality through pollution and eutrophication. The WFD involves achieving targets of all waterbodies possessing 'good ecological status' by 2027, alongside determining which variables constrain or maintain this. These variables are often site-specific, relating to geomorphology, climate and land-use. In Northern Ireland over half of all waterbodies fail to achieve the 'good' ecological status. Research has indicated that sources of diffuse agricultural pollution, typically from phosphorus and nitrates applied through chemical fertilisers and slurry, are the main source of waterbody nutrient enrichment and eutrophication. Northern Ireland has issues regarding excessive post-war application of fertilisers, coinciding with agricultural intensification, leading to excessive legacy levels of nitrogen and phosphorus present in soils. Recent research on catchment management has shown that observational techniques are either too site-specific or coarse to appreciate the variables contributing to waterway degradation. There is a requirement to develop catchment-based studies to understand the scale, frequency and magnitude of sedimentutrient loss. This project aims to develop a multi-method approach to evaluate and monitor nutrient and sediment loss from agricultural land. The objectives of this study include;1. Undertaking fieldwork to investigate the sources and losses of sediments and nutrients, alongside collecting water samples to investigate water quality with analysis on phytobenthic, macroinvertebrate and plant communities.2. Using remote-sensed data from satellites and drone equipment in the construction of digital elevation models for usage in modelling simulations to understand mechanisms of sediment and nutrient losses. This data will also be used to model conservation methods to derive a set of recommendations to improve water quality. 3. Apply multispectral imagery and fieldwork-based evidence to quantify, map and assess nutrient and sediment loss zones across the studied catchments. 4. Run catchment-scale soil erosion models to simulate runoff and soil loss changes under present-day climate, future climate change, land use and management scenarios in order to design appropriate mitigation strategies. Northern Ireland fieldwork focuses upon three catchment sites of the Blackwater, Upper Bann and Colebrooke.Year One: Investigating the sources and losses of sediment and nutrients in catchments. Quantifying pathways and movement, assessing levels of damage to both land and water bodies. Usage of fieldwork (alongside remote sensing e.g. drones and LiDAR data) and laboratory analysis techniques to establish parameters of losses and water quality status.Year Two: Management strategies instigated at sites to deal with issues of sediment/nutrient loss and water pollution. Field visits to Scotland concerning catchments where management techniques have been introduced and a showing wider context of water pollution and sediment/nutrient loss beyond Northern Ireland.Year Three: Monitoring improvements on catchments following the implementation of management strategies, repetition of original fieldwork/laboratory analysis to establish if benefits to water quality and a reduction in sediment/nutrient losses. The techniques and observational skills/approach developed in this project will be applicable across many catchment areas and is not purely specific to Northern Ireland in its theoretical framework and as such the project may drive new areas of research. The project recommendations in terms of water quality improvement and sediment loss mitigation could be applied to the study catchments to drive current directives and indicate new preferential management techniques to achieve the WFD target by 2027.
期刊论文(6)
专著(0)
科研奖励(0)
会议论文
Grassland Reseeding: Impact on Soil Surface Nutrient Accumulation and Using LiDAR-Based Image Differencing to Infer Implications for Water Quality
草地补种:对土壤表面养分积累的影响以及使用基于激光雷达的图像差分来推断对水质的影响
DOI: 10.3390/agriculture12111854
发表时间: 2022
期刊: Agriculture
影响因子: --
作者: [Hayes E]
通讯作者: Hayes E
Using LiDAR derived Digital Terrain Models and field data to quantify riverbank erosion and nutrient loading rates
使用激光雷达衍生的数字地形模型和现场数据来量化河岸侵蚀和养分加载率
DOI: --
发表时间: 2021
期刊:
影响因子: --
作者: [Hayes E]
通讯作者: Hayes E
Grassland reseeding - improving grassland productivity and reducing soil surface phosphorus accumulations
草原补播——提高草原生产力,减少土壤表面磷积累
DOI: --
发表时间: 2022
期刊:
影响因子: --
作者: [Hayes E]
通讯作者: Hayes E
Combining sub-field scale soil sampling and GIS interpolation techniques for mapping nutrient hotspots 
结合子田尺度土壤采样和 GIS 插值技术来绘制养分热点图
DOI: 10.5194/egusphere-egu21-2653
发表时间: 2021
期刊:
影响因子: --
作者: [Hayes E]
通讯作者: Hayes E
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