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首页> 外文期刊>Journal of Hydrology >Distinguishing between management-induced and climatic trends in phreatic groundwater levels
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Distinguishing between management-induced and climatic trends in phreatic groundwater levels

机译:区分潜水引起的地下水位管理引起的趋势和气候趋势

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摘要

A method is proposed for distinguishing between climatic and anthropogenic or management-induced contributions to observed trends in phreatic groundwater levels. The method is tested on 245 phreatic screens distributed over 168 wells in Northern Belgium that were monitored monthly during 1999-2009. The SWAP (Soil Water Atmosphere Plant), an existing physically-based model, is used to simulate the observed time series of groundwater levels at each of the screens. SWAP simulates 1-D water transport by applying the Richards' equation for the unsaturated-saturated zone, while accounting for interception and water extraction by vegetation. The model thus incorporates climatic effects on the groundwater level but ignores management-induced impacts such as groundwater abstraction. The management-induced contribution to observed trends in groundwater levels can therefore be derived by analysing the model residuals, i.e. observed minus predicted groundwater levels. Five and 10. year management-induced trends in groundwater levels (cm/year) were estimated for each screen by a simple linear regression of the residuals of a SWAP model that was calibrated to optimise the agreement between observed and predicted groundwater levels at that screen. This management-induced trend was compared with the trend in observed groundwater levels. It is concluded that a correct interpretation of monitoring data in the context of the evaluation of the effectiveness of water management strategies, requires that observed trends are adjusted for climatic variation. In shallow water table environments, this climatic correction can be associated with precipitation surplus. However, when the water table is more than 3. m below the soil surface, the relation with precipitation surplus is less straightforward and varies from place to place, because of differences in vadoze zone travel time.
机译:提出了一种方法来区分气候和人为因素或管理引起的对潜水地下水位观测趋势的贡献。该方法在分布于比利时北部168口井的245孔筛上进行了测试,并在1999-2009年期间每月进行监测。 SWAP(土壤水环境植物)是一种现有的基于物理的模型,用于模拟每个滤网处观测到的地下水位的时间序列。 SWAP通过对不饱和饱和区应用Richards方程来模拟一维水运移,同时考虑了植被的拦截和水提取。该模型因此纳入了对地下水位的气候影响,但忽略了管理引起的影响,例如地下水抽取。因此,可以通过分析模型残差,即观测值减去预测的地下水位,得出管理层对观测到的地下水位趋势的贡献。通过对SWAP模型的残差进行简单的线性回归,可以估算每个滤网在地下水位(cm /年)的5年和10年趋势。 。将这种管理诱发的趋势与观测到的地下水位趋势进行了比较。结论是,在评估水管理战略有效性的背景下正确理解监测数据需要对观测趋势进行调整以适应气候变化。在浅水位环境中,这种气候校正可能与降水过剩有关。但是,当地下水位在土壤表层以下3. m以上时,由于浮游带旅行时间的差异,与降水过剩的关系就不那么直接了,并且随位置的变化而变化。

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