This study explores influences which result in shifts of generalized extreme value (GEV) flood fr... more This study explores influences which result in shifts of generalized extreme value (GEV) flood frequency distributions in Irish rivers. Data from 139 gauging stations from 100 Irish rivers was analysed using the Hosking algorithm to determine whether Type I, II or III distributions are valid. Results indicate that hydrological data for 89 sites followed Type I distributions. Another 12 and 38 stations followed Type II and Type III distributions respectively. Type I distributions are spatially well represented throughout the country. The majority of Type III distributions appear in four clusters in geographical areas where attenuation influences from floodplains and lakes are influential. Type II distributions appear in a single cluster in a region in the west of the country characterised by a Karst landscape. Type II distributions in this area reflect the finite nature of Karst storage and the effects of saturation when storage is no longer available.
The programme comprises three key measures: Sustainable Development, Cleaner Production and Envir... more The programme comprises three key measures: Sustainable Development, Cleaner Production and Environmental Technologies, and A Healthy Environment; together with two supporting measures: EPA Environmental Research Centre (ERC) and Capacity & Capability Building. The seven principal thematic areas for the programme are Climate Change; Waste, Resource Management and Chemicals; Water Quality and the Aquatic Environment; Air Quality, Atmospheric Deposition and Noise; Impacts on Biodiversity; Soils and Land-use; and Socio-economic Considerations. In addition, other emerging issues will be addressed as the need arises.
The potential role of rural land use in mitigating flood risk and protecting water supplies conti... more The potential role of rural land use in mitigating flood risk and protecting water supplies continues to be of great interest to regulators and planners. The ability of hydrologists to quantify the impact of rural land use change on the water cycle is however limited and we are not able to provide consistently reliable evidence to support planning and policy decisions. This shortcoming stems mainly from lack of data, but also from lack of modelling methods and tools. Numerous research projects over the last few years have been attempting to address the underlying challenges. This paper describes these challenges, significant areas of progress and modelling innovations, and proposes priorities for further research. The paper is organised into five inter-related subtopics: (1) evidence-based modelling; (2) upscaling to maximise the use of process knowledge and physics-based models; (3) representing hydrological connectivity in models; (4) uncertainty analysis; and (5) integrated catch...
The movement of underlying saline water inresponse to freshwater abstraction infresh-saline aquif... more The movement of underlying saline water inresponse to freshwater abstraction infresh-saline aquifers is dependent uponaquifer properties, well design andoperational plans. The responses of thesefactors under various well configurationsand pumping modes are ...
EC Directive 2000/60/EC establishing a framework for Community action in the field of water polic... more EC Directive 2000/60/EC establishing a framework for Community action in the field of water policy, commonly known as the Water Framework Directive (WFD), requires development and implementation of a range of technical tasks that relate inter alia to characterisation of catchments, monitoring procedures, establishing relationships between catchment pressures and impacts on aquatic systems, and remediation measures where water bodies are considered to be at risk of failure to achieve their environmental objectives. The ...
Provided by the author(s) and University College Dublin Library in accordance with publisher poli... more Provided by the author(s) and University College Dublin Library in accordance with publisher policies. Please cite the published version when available. Downloaded 2016-03-04T00:52:17Z Some rights reserved. For more information, please see the item record link above. Title Urban drainage in Ireland- embracing sustainable systems
Estimates of sediment yield are important for ecological and geomorphological assessment of fluvi... more Estimates of sediment yield are important for ecological and geomorphological assessment of fluvial systems and for assessment of soil erosion within a catchment. Many regulatory frameworks, such as the Convention for the Protection of the Marine Environment of the North-East Atlantic, derived from the Oslo and Paris Commissions (OSPAR) require reporting of annual sediment fluxes. While they may be measured in large rivers, sediment flux is rarely measured in smaller rivers. Measurements of sediment transport at a national scale can be also challenging and therefore, sediment yield models are often utilised by water resource managers for the predictions of sediment yields in the ungauged catchments. Regression based models, calibrated to field measurements, can offer an advantage over complex and computational models due to their simplicity, easy access to input data and due to the additional insights into factors controlling sediment export in the study sites. While traditionally calibrated to long-term average values of sediment yields such predictions cannot represent temporal variations. This study addresses this issue in a novel way by taking account of the variation from year to year in hydrological variables in the developed models (using annual mean runoff, annual mean flow, flows exceeded in five percentage of the time (Q5) and seasonal rainfall estimated separately for each year of observations). Other parameters included in the models represent spatial differences influenced by factors such as soil properties (% poorly drained soils and % peaty soils), land-use (% pasture or % arable lands), channel slope (S1085) and drainage network properties (drainage density). Catchment descriptors together with year-specific hydrological variables can explain both spatial differences and inter-annual variability of suspended sediment yields. The methodology is demonstrated by deriving equations from Irish data-sets (compiled in this study) with the best model efficiency of 0.84 and best model fit of adjusted R2 of 0.82. Presented approach shows the potential for regression based models to model contemporary suspended sediment yields in small river systems.
This study explores influences which result in shifts of generalized extreme value (GEV) flood fr... more This study explores influences which result in shifts of generalized extreme value (GEV) flood frequency distributions in Irish rivers. Data from 139 gauging stations from 100 Irish rivers was analysed using the Hosking algorithm to determine whether Type I, II or III distributions are valid. Results indicate that hydrological data for 89 sites followed Type I distributions. Another 12 and 38 stations followed Type II and Type III distributions respectively. Type I distributions are spatially well represented throughout the country. The majority of Type III distributions appear in four clusters in geographical areas where attenuation influences from floodplains and lakes are influential. Type II distributions appear in a single cluster in a region in the west of the country characterised by a Karst landscape. Type II distributions in this area reflect the finite nature of Karst storage and the effects of saturation when storage is no longer available.
The programme comprises three key measures: Sustainable Development, Cleaner Production and Envir... more The programme comprises three key measures: Sustainable Development, Cleaner Production and Environmental Technologies, and A Healthy Environment; together with two supporting measures: EPA Environmental Research Centre (ERC) and Capacity & Capability Building. The seven principal thematic areas for the programme are Climate Change; Waste, Resource Management and Chemicals; Water Quality and the Aquatic Environment; Air Quality, Atmospheric Deposition and Noise; Impacts on Biodiversity; Soils and Land-use; and Socio-economic Considerations. In addition, other emerging issues will be addressed as the need arises.
The potential role of rural land use in mitigating flood risk and protecting water supplies conti... more The potential role of rural land use in mitigating flood risk and protecting water supplies continues to be of great interest to regulators and planners. The ability of hydrologists to quantify the impact of rural land use change on the water cycle is however limited and we are not able to provide consistently reliable evidence to support planning and policy decisions. This shortcoming stems mainly from lack of data, but also from lack of modelling methods and tools. Numerous research projects over the last few years have been attempting to address the underlying challenges. This paper describes these challenges, significant areas of progress and modelling innovations, and proposes priorities for further research. The paper is organised into five inter-related subtopics: (1) evidence-based modelling; (2) upscaling to maximise the use of process knowledge and physics-based models; (3) representing hydrological connectivity in models; (4) uncertainty analysis; and (5) integrated catch...
The movement of underlying saline water inresponse to freshwater abstraction infresh-saline aquif... more The movement of underlying saline water inresponse to freshwater abstraction infresh-saline aquifers is dependent uponaquifer properties, well design andoperational plans. The responses of thesefactors under various well configurationsand pumping modes are ...
EC Directive 2000/60/EC establishing a framework for Community action in the field of water polic... more EC Directive 2000/60/EC establishing a framework for Community action in the field of water policy, commonly known as the Water Framework Directive (WFD), requires development and implementation of a range of technical tasks that relate inter alia to characterisation of catchments, monitoring procedures, establishing relationships between catchment pressures and impacts on aquatic systems, and remediation measures where water bodies are considered to be at risk of failure to achieve their environmental objectives. The ...
Provided by the author(s) and University College Dublin Library in accordance with publisher poli... more Provided by the author(s) and University College Dublin Library in accordance with publisher policies. Please cite the published version when available. Downloaded 2016-03-04T00:52:17Z Some rights reserved. For more information, please see the item record link above. Title Urban drainage in Ireland- embracing sustainable systems
Estimates of sediment yield are important for ecological and geomorphological assessment of fluvi... more Estimates of sediment yield are important for ecological and geomorphological assessment of fluvial systems and for assessment of soil erosion within a catchment. Many regulatory frameworks, such as the Convention for the Protection of the Marine Environment of the North-East Atlantic, derived from the Oslo and Paris Commissions (OSPAR) require reporting of annual sediment fluxes. While they may be measured in large rivers, sediment flux is rarely measured in smaller rivers. Measurements of sediment transport at a national scale can be also challenging and therefore, sediment yield models are often utilised by water resource managers for the predictions of sediment yields in the ungauged catchments. Regression based models, calibrated to field measurements, can offer an advantage over complex and computational models due to their simplicity, easy access to input data and due to the additional insights into factors controlling sediment export in the study sites. While traditionally calibrated to long-term average values of sediment yields such predictions cannot represent temporal variations. This study addresses this issue in a novel way by taking account of the variation from year to year in hydrological variables in the developed models (using annual mean runoff, annual mean flow, flows exceeded in five percentage of the time (Q5) and seasonal rainfall estimated separately for each year of observations). Other parameters included in the models represent spatial differences influenced by factors such as soil properties (% poorly drained soils and % peaty soils), land-use (% pasture or % arable lands), channel slope (S1085) and drainage network properties (drainage density). Catchment descriptors together with year-specific hydrological variables can explain both spatial differences and inter-annual variability of suspended sediment yields. The methodology is demonstrated by deriving equations from Irish data-sets (compiled in this study) with the best model efficiency of 0.84 and best model fit of adjusted R2 of 0.82. Presented approach shows the potential for regression based models to model contemporary suspended sediment yields in small river systems.
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