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Why is the groundwater level rising? A case study using HARTT to simulate groundwater level dynamic

机译:为什么地下水位上升?使用HARTT模拟地下水位动态的案例研究

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Groundwater from a shallow unconfined aquifer at a site in coastal New South Wales has been causing recent water logging issues. A trend of rising groundwater level has been anecdotally observed over the last 10 years. It was not clear whether the changes in groundwater levels were solely natural variations within the groundwater system or whether human interference was driving the level up. Time series topographic images revealed significant surrounding land use changes and human modification to the environment of the groundwater catchment. A statistical model utilising HARTT (multiple linear regression hydrograph analysis method) simulated the groundwater level dynamics at five key monitoring locations and successfully showed a trend of rising groundwater level. Utilising hydrogeological input from field investigations, the model successfully simulated the rise in the water table over time to the present day levels, whilst taking into consideration rainfall and land changes. The underlying geological/land conditions were found to be just as significant as the impact of climate variation. The correlation coefficient for the monitoring bores (MB), excluding MB4, show that the groundwater level fluctuation can be explained by the climate variable (rainfall) with the lag time between the atypical rainfall and groundwater level ranging from 4 to 7 months. The low R~2 value for MB4 indicates that there are factors missing in the model which are primarily related to human interference. The elevated groundwater levels in the affected area are the result of long term cumulative land use changes, instigated by humans, which have directly resulted in detrimental changes to the groundwater aquifer properties.
机译:新南威尔士州沿海一个地点的浅层无限制含水层中的地下水已引起最近的水涝问题。在过去的十年中,人们观察到地下水位呈上升趋势。尚不清楚地下水位的变化是否仅仅是地下水系统内的自然变化,还是人为因素在推动水位的升高。时间序列地形图显示了周围土地利用的重大变化以及人类对地下水集水区环境的改造。利用HARTT(多元线性回归水文分析法)的统计模型模拟了五个关键监测地点的地下水位动态,并成功显示了地下水位上升的趋势。利用现场调查的水文地质输入,该模型成功地模拟了地下水位随时间推移到目前水平的上升,同时考虑了降雨和土地变化。发现潜在的地质/土地条件与气候变化的影响同样重要。除MB4外,监测孔的相关系数(MB)表明,地下水位波动可以用气候变量(降雨)来解释,非典型降雨与地下水位之间的滞后时间为4到7个月。 MB4的R〜2值低表明模型中存在一些主要与人为干扰有关的因素。受影响地区地下水位升高是人类长期累积土地利用变化的结果,人类长期以来一直在使用这些土地,这直接导致了地下水含水层特性的不利变化。

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