Using models to bridge the gap between land use and algal blooms: An example from the Loweswater catchment, UK
Using models to bridge the gap between land use and algal blooms: An example from the Loweswater catchment, UK
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DOI：
10.1016/j.envsoft.2011.07.011
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发表时间：
2012-10-01
影响因子：
4.9
通讯作者：
May, Linda
中科院分区：
文献类型：
--
作者：
Norton, Lisa;Elliott, J. Alex;May, Linda
湖泊提供的货物和服务是气象学、水文学、营养物负荷和湖泊过程之间复杂相互作用的结果。水文和养分负荷又受到集水区内人类居住、取水和土地管理等社会经济因素的影响。模型提供了一种手段，连接这些不同的领域，也预测和评估不同的管理方案对湖泊的影响。本文介绍了这种模式的应用Loweswater，一个良好的研究湖泊的水质问题，在英国湖区，以社区为基础的方法，集水区管理正在进行。首先，PLANET（计划土地应用营养素的效率和效益），一个现成的农场营养预算模型，补充了当地的化粪池信息，并用于产生每年的营养负荷湖。其次，GWLF（广义流域负荷函数）是一种通用养分径流模型，使用来自PLANET的输入以及集水区内土地覆盖、气温和降雨量的其他信息来生成每日养分径流值。第三，利用GWLF输入和当地实测气象资料驱动的浮游植物对环境变化的响应（PHYTOPLANCHONSES TO ENVIRONMENTAL CHAGE），预测了湖泊中不同藻类的丰度。链接模型被用来描述目前的影响，集水管理湖泊水质，验证了现场测量，并探讨了一些替代集水管理方案的潜在影响。围绕使用通用建模应用程序的集水区管理和利益相关者生活在和/或管理集水区内的土地的相关性的问题进行了讨论。(C)2011爱思唯尔有限公司保留所有权利。
The goods and services that lakes provide result from complex interactions between meteorology, hydrology, nutrient loads and in-lake processes. Hydrology and nutrient loads are, in turn, influenced by socio-economic factors such as human habitation, water abstraction and land-management, within their catchments. Models provide a means of linking these different domains and also of forecasting and evaluating the effects of different management scenarios on lakes. This paper describes the application of such models to Loweswater, a well-studied lake with water quality problems in the English Lake District, where a community-based approach to catchment management is being undertaken.Three models were linked. Firstly, PLANET (Planning Land Applications of Nutrients for Efficiency and the environmenT), an 'off the shelf farm nutrient budgeting model, was supplemented by local information on septic tanks and used to produce an annual nutrient load to the lake. Secondly, GWLF (Generalized Watershed Loading Function), a generic nutrient runoff model, was used to generate daily nutrient runoff values using input from PLANET plus additional information on land-cover, air temperature and rainfall within the catchment. Thirdly PROTECH (Phytoplankton RespOnses To Environmental CHange), driven by input from GWLF and locally measured meteorology, was used to forecast the abundance of different algal types within the lake. The linked models were used to describe the current impact of catchment management on lake water quality, validated by in situ measurements, and to explore the potential impact of a number of alternative catchment management scenarios. Issues surrounding the use of generic modelling applications for catchment management and relevance for stakeholders living in and/or managing land within the catchment are discussed. (C) 2011 Elsevier Ltd. All rights reserved.