A hydrochemical modelling framework for combined assessment of spatial and temporal variability in stream chemistry: application to Plynlimon, Wales

被引:19
作者
Foster, HJ
Lees, MJ
Wheater, HS [1 ]
Neal, C
Reynolds, B
机构
[1] Univ London Imperial Coll Sci Technol & Med, Dept Civil & Environm Engn, London SW7 2BU, England
[2] Ctr Ecol & Hydrol, Wallingford OX10 8BB, Oxon, England
[3] Ctr Ecol & Hydrol, Bangor LL57 2UP, Gwynedd, Wales
关键词
hydrochemistry; End-Member Mixing Analysis (EMMA); uplands; acidification;
D O I
10.5194/hess-5-49-2001
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Recent concern about the risk to biota from acidification in upland areas, due to air pollution and land-use change (such as the planting of coniferous forests), has generated a need to model catchment hydro-chemistry to assess environmental risk and define protection strategies, Previous approaches have tended to concentrate on quantifying either spatial variability at a regional scale or temporal variability at a given location. However, to protect biota from 'acid episodes', an assessment of both temporal and spatial variability of stream chemistry is required at a catchment scale. In addition, quantification of temporal variability needs to represent both episodic event response and long term variability caused by deposition and/or land-use change. Both spatial and temporal variability in streamwater chemistry are considered in a new modelling methodology based on application to the Plynlimon catchments, central Wales. A two-component End-Member Mixing Analysis (EMMA) is used whereby low and high flow chemistry are taken to represent 'groundwater' and 'soil water' end-members. The conventional EMMA method is extended to incorporate spatial variability in the two end-members across the catchments by quantifying the Acid Neutralisation Capacity (ANC) of each in terms of a statistical distribution. These are then input as stochastic variables to a two-component mixing model, thereby accounting for variability of ANC both spatially and temporally. The model is coupled to a long-term acidification model (MAGIC) to predict the evolution of the end members and, hence, the response to future scenarios. The results can be plotted as a function of time and space, which enables better assessment of the likely effects of pollution deposition or land-use changes in the future on the stream chemistry than current methods which use catchment average values. The model is also a useful basis for further research into linkage between hydrochemistry and intra-catchment biological diversity.
引用
收藏
页码:49 / 58
页数:10
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