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Seasonality of Soil Erosion Under Mediterranean Conditions at the Alqueva Dam Watershed

机译:地中海环境下Alqueva大坝流域土壤侵蚀的季节性

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摘要

The Alqueva reservoir created the largest artificial lake of Western Europe in 2010. Since then, the region has faced challenges due to land-use changes that may increase the risk of erosion and shorten the lifetime of the reservoir, increasing the need to promote land management sustainability. This paper investigates the aspect of seasonality of soil erosion using a comprehensive methodology that integrates the Revised Universal Soil Loss Equation (RUSLE) approach, geographic information systems, geostatistics, and remote-sensing. An experimental agro-silvo pastoral area (typical land-use) was used for the RUSLE factors update. The study confirmed the effect of seasonality on soil erosion rates under Mediterranean conditions. The highest rainfall erosivity values occurred during the autumn season (433.6 MJ mm ha~(-1) h~(-1)), when vegetation cover is reduced after the long dry season. As a result, the autumn season showed the highest predicted erosion (9.9 t ha~(-1)), contributing 65 % of the total annual erosion. The predicted soil erosion for winter was low (1.1 t ha~(-1)) despite the high rainfall erosivity during that season (196.6 MJ mm ha~(-1) h~(-1)). The predicted annual soil loss was 15.1 t ha~(-1), and the sediment amount delivery was 4,314 × 10~3 kg. Knowledge of seasonal variation would be essential to outline sustainable land management practices. This model will be integrated with World Overview of Conservation Approaches and Technologies methods to support decision-making in that watershed, and it will involve collaboration with both local people and governmental institutions.
机译:Alqueva水库在2010年创造了西欧最大的人工湖。此后,该地区因土地利用变化而面临挑战,这可能会增加水土流失的风险并缩短水库的使用寿命,从而增加了对土地管理的需求可持续性。本文使用综合的方法研究土壤侵蚀的季节性方面,该方法综合了修订的通用土壤流失方程(RUSLE)方法,地理信息系统,地统计学和遥感技术。一个实验性的农用牧草牧区(典型的土地利用)被用于更新RUSLE因子。该研究证实了季节性对地中海条件下土壤侵蚀率的影响。最高的降雨侵蚀力值发生在秋季(433.6 MJ mm ha〜(-1)h〜(-1)),而长期干旱后植被减少。结果,秋季季节的预计侵蚀量最高(9.9 t ha〜(-1)),占全年侵蚀总量的65%。尽管该季节降雨侵蚀力较高(196.6 MJ mm ha〜(-1)h〜(-1)),但预测的冬季土壤侵蚀仍较低(1.1 t ha〜(-1))。预计年土壤流失量为15.1 t ha〜(-1),输沙量为4,314×10〜3 kg。了解季节性变化对于概述可持续土地管理做法至关重要。该模型将与世界自然保护方法和技术概述相集成,以支持该流域的决策,并将涉及与当地人民和政府机构的合作。

著录项

  • 来源
    《Environmental Management》 |2014年第1期|67-83|共17页
  • 作者单位

    Research Centre for Spatial and Organizational Dynamics (CIEO), University of Algarve, Campus de Gambelas, 8000 Faro, Portugal;

    Research Centre for Spatial and Organizational Dynamics (CIEO), University of Algarve, Campus de Gambelas, 8000 Faro, Portugal;

  • 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
  • 关键词

    RUSLE; Seasonality; Soil erosion; Sustainable land management (SLM);

    机译:RUSLE;季节性;水土流失;可持续土地管理(SLM);
  • 入库时间 2022-08-17 13:27:05

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