应用基于GIS的水文模型来预测毛毯沼泽的表面湿度
Francis Mackin1, Raymond Flynn1, Fernando Fernandez-Valverde2
1School of Natural and Built Environment, The Queen's University of Belfast, David Keir Building, Stranmillis Road, Belfast, BT9 5AG UK.
概括
修改流量积累能力 (MFAC) 模型有效地预测了毛毯沼泽的表面湿度,有助于恢复工作. 这种水文建模工具有助于通过评估沼泽状况来确定泥炭地恢复的优先区域.
科学领域:
- 水文学的水文学
- 泥炭地生态 泥炭地生态
- 地理信息系统 (GIS) 是指地理信息系统.
背景情况:
- 了解完整的毛毯沼泽地的水文过程对于为退化地点设定现实的恢复目标至关重要.
- 之前针对高沼泽开发的水文模型已经适应了毛毯沼泽环境.
研究的目的:
- 适应和应用基于GIS的水文模型,即修改流量积累能力 (MFAC),以评估爱尔兰毛毯沼泽的恢复潜力.
- 评估MFAC模型在预测表面湿度及其与水表水位和毛毯沼泽地的生态变量关系方面的有效性.
主要方法:
- 利用高分辨率的地形数据和气候条件来利用MFAC模型预测表面湿度.
- 修改了MFAC参数,并应用了气候校正因子,以考虑高架沼泽和毛毯沼泽之间的差异.
- 监测地下水位并评估MFAC值,地下水位动态和生态指标 (如藻覆盖面) 之间的关系.
主要成果:
- 该MFAC模型有效地预测了毛毯沼泽景观中的相对表面湿度.
- 在MFAC值和夏季水表水位和波动之间观察到一个日志线性关系.
- 在MFAC-水表关系中的偏差与排水和泥炭管道等水文压力有关.
- 该模型与生态变量 (如藻覆盖) 的相关性很差,表明了过去人类压力的影响.
结论:
- MFAC模型是泥炭地从业人员在规划和优先考虑毛毯沼泽恢复方面的一个有价值的工具.
- 该模型预测表面湿度的能力有助于理解与恢复相关的水文条件.
- 可能需要进一步的研究,以更有效地将生态反应纳入恢复规划的水文模型.
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