Assessment of spatial variability and temporal stability of groundwater redox conditions in New Zealand

IF 3 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES Environmental Monitoring and Assessment Pub Date : 2024-12-16 DOI:10.1007/s10661-024-13427-y
Stephen B. Collins, Ranvir Singh, Stuart R. Mead, David J. Horne, Jon K. F. Roygard
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Abstract

Mitigating the impacts of agricultural nutrients (nitrogen and phosphorus) on water quality requires a clear understanding of their transport pathways and transformation processes from land to receiving waters. For nitrate, which is subject to subsurface denitrification, it is therefore important to assess the spatial variability and temporal stability of groundwater redox conditions, as nitrate reduction typically occurs in reducing conditions. This paper presents a robust assessment of a large groundwater quality data set collected across New Zealand landscapes, develops methods to impute missing groundwater redox-sensitive variables and characterises the spatial variability and temporal stability of groundwater redox conditions against relevant landscape hydrogeochemical characteristics. Random forest and extreme gradient boosting (XGBoost) outperformed linear regression in predicting missing Mn2+ values, achieving higher accuracy (R2 > 0.8) and lower error (RMSE < 0.2 mg/L). Analysis of groundwater redox conditions highlights considerable spatial variability, particularly influenced by subsurface geology (rock types) and soil characteristics such as soil carbon and drainage across various hydrogeological settings. Our findings also reveal a higher prevalence of oxidised redox status in shallower groundwater and greater temporal stability in oxidised conditions across New Zealand landscapes. These insights have significant implications for targeted management strategies to reduce nitrate losses from farming activities, particularly in oxidised, shallow groundwater across different hydrogeological land units.

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新西兰地下水氧化还原条件的空间变异性和时间稳定性评估
减轻农业营养物质(氮和磷)对水质的影响需要清楚地了解它们从陆地到接收水的运输途径和转化过程。硝酸盐受地下反硝化作用的影响,因此评估地下水氧化还原条件的空间变异性和时间稳定性非常重要,因为硝酸盐还原通常发生在还原条件下。本文对新西兰景观中收集的大量地下水质量数据集进行了强有力的评估,开发了计算缺失地下水氧化还原敏感变量的方法,并根据相关景观水文地球化学特征表征了地下水氧化还原条件的空间变异性和时间稳定性。随机森林和极端梯度增强(XGBoost)在预测Mn2+缺失值方面优于线性回归,具有更高的准确性(R2 > 0.8)和更低的误差(RMSE < 0.2 mg/L)。地下水氧化还原条件的分析强调了相当大的空间变异性,特别是受地下地质(岩石类型)和土壤特征(如土壤碳和各种水文地质环境的排水)的影响。我们的研究结果还揭示了在新西兰各地,浅层地下水中氧化氧化还原状态的普遍程度更高,氧化条件的时间稳定性也更高。这些见解对有针对性的管理策略具有重要意义,可以减少农业活动造成的硝酸盐损失,特别是在不同水文地质土地单元的氧化浅层地下水中。
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来源期刊
Environmental Monitoring and Assessment
Environmental Monitoring and Assessment 环境科学-环境科学
CiteScore
4.70
自引率
6.70%
发文量
1000
审稿时长
7.3 months
期刊介绍: Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.
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