Climate impact assessment to the groundwater levels based on long time-series analysis in a paddy field area (Piedmont region, NW Italy): preliminary results

IF 0.8 Q4 WATER RESOURCES
Elena Egidio, M. Lasagna, S. Mancini, D. D. De Luca
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引用次数: 2

Abstract

The analysis of the time-series of groundwater level are extremely important to observe the behaviours of groundwater over time and to identify any critical situations. The studied area is an agricultural district characterised by paddy fields, located in the eastern part of Piedmont, on the border with Lombardy. In this area long time-series of groundwater level, starting from the 1960s, have been collected in 16 wells. Water table data have a good completeness (in the majority of the cases >90%). Firstly, the groundwater hydrodynamic behaviour, based on water table levels, was investigated to highlight the response of groundwater to the recharge. A basic statistical analysis was performed (mean, median, standard deviation, maximum, minima), and then trends of water table levels were evaluated in order to better observe the long-term behaviour of groundwater. These analyses allowed to observe a groundwater hydrodynamic behaviour characterised by a repeating annual pattern (minimum in February/March and maximum in August/September) in correspondence to the period of irrigation. Moreover, trend analysis highlighted the presence of both wells with a decreasing water table (with maximum lowering of 4.3 m in 60 years) and wells with an increasing water table (with maximum rises of 2.8 m in 35 years). Furthermore, in most cases, it can be observed that all three trends analysed agree on being positive or negative. Future insights will be the comparison of these long time-series with the meteorological data, and the investigation of other factors (e.g. anthropic withdrawal, variations of cultivation practices and irrigation, geology of the subsoil) to better understand the causes of the water table fluctuations and trends.
基于长时间序列分析的水田地区(意大利西北部皮埃蒙特地区)地下水水位气候影响评价:初步结果
地下水位的时间序列分析对于观察地下水随时间的变化规律和识别危急情况具有极其重要的意义。研究区域是一个以水田为特征的农业区,位于皮埃蒙特东部,与伦巴第接壤。在这个地区,从20世纪60年代开始,16口井收集了地下水水位的长时间序列。地下水位资料的完备性较好(多数情况下>90%)。首先,基于地下水位,研究了地下水的水动力特性,以突出地下水对补给的响应。进行了基本的统计分析(平均值、中位数、标准差、最大值、最小值),然后评估了地下水位的趋势,以便更好地观察地下水的长期行为。这些分析可以观察到地下水的水动力行为,其特征是重复的年度模式(最小值在2月/ 3月,最大值在8月/ 9月)与灌溉时期相对应。此外,趋势分析强调了地下水位下降的井(60年最大下降4.3 m)和地下水位上升的井(35年最大上升2.8 m)的存在。此外,在大多数情况下,可以观察到所分析的所有三种趋势都是积极的或消极的。未来的见解将是将这些长时间序列与气象数据进行比较,并调查其他因素(例如人为开采、耕作方法和灌溉的变化、地下土壤的地质),以更好地了解地下水位波动和趋势的原因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.80
自引率
50.00%
发文量
36
审稿时长
8 weeks
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