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Long-Term Impacts of Land-Use Change on Non-Point-Source Pollutant Loads for the St. Louis Metropolitan Area, USA

机译:美国圣路易斯都市区土地利用变化对非点源污染物负荷的长期影响

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摘要

A land-use-change simulation model (LEAM) and a non-point-source (NPS) water quality model (L-THIA) were closely coupled as LEAMwq in order to determine the long-term implications of various degree of urbanization on NPS total nitrogen (TN), total suspended particles (TSP), and total phosphorus (TP) loads. A future land-use projection in the St. Louis metropolitan area from 2005 to 2030 using three economic growth scenarios (base, low, and high) and a long-term precipitation dataset were used to predict the mean annual surface runoff and mean annual NPS pollutant loads in the region. Results show mean annual TN increases of 0.21 percent, 0.13 percent, and 0.14 percent by 2030 compared to 2000 under the base, high, and low scenarios, respectively. TSP and TP showed similar trends with different magnitudes. Corresponding changes in annual mean surface runoff were shown to be lower than expected, which might be attributed to the small-scale conversion pattern of land uses. In the most dramatic change (high growth) scenario, the runoff would increase across time but at varying rates, and temporal pollutant loads would result in a more complicated pattern than in the other scenarios. This is attributed to the complex interactions between event mean concentrations of pollutants and the magnitude of changes in land-use acreages. By integrating L-THIA with LEAM, LEAMwq was found to be a useful planning tool to illustrate in a quick and simple manner how future water quality is connected to decision-making on future land-use change.
机译:为了确定不同程度的城市化对NPS的长期影响,土地利用变化模拟模型(LEAM)和非点源(NPS)水质模型(L-THIA)紧密耦合为LEAMwq总氮(TN),总悬浮颗粒(TSP)和总磷(TP)负荷。使用三个经济增长情景(基础,低和高)和长期降水数据集,对圣路易斯大都市区2005年至2030年的未来土地利用进行预测,以预测年平均地表径流量和年平均NPS该地区的污染物负荷。结果显示,到2030年,在基准,高和低情景下,到2000年,年平均TN增长分别为0.21%,0.13%和0.14%。 TSP和TP表现出相似的趋势,但幅度不同。年平均地表径流量的相应变化显示低于预期,这可能归因于土地利用的小规模转换模式。在最显着的变化(高增长)场景中,径流量会随着时间的推移而增加,但速率会有所不同,并且与其他场景相比,时间上的污染物负荷将导致更为复杂的模式。这归因于污染物的事件平均浓度与土地利用面积变化幅度之间的复杂相互作用。通过将L-THIA与LEAM集成,LEAMwq被认为是一种有用的规划工具,可以快速,简单地说明未来水质如何与未来土地利用变化的决策联系在一起。

著录项

  • 来源
    《Environmental Management》 |2005年第2期|p.194-205|共12页
  • 作者单位

    Department of Geography University of Illinois at Urbana-Champaign 220 Davenport Hall 607 South Mathews Ave., Urbana, Illinois 61801, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 环境保护管理;
  • 关键词

  • 入库时间 2022-08-17 13:33:14

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