Suppr超能文献

运用线性判别分析预测区域尺度上的地下水氧化还原状态。

Predicting groundwater redox status on a regional scale using linear discriminant analysis.

作者信息

Close M E, Abraham P, Humphries B, Lilburne L, Cuthill T, Wilson S

机构信息

Institute of Environmental Science and Research, PO Box 29-181, Christchurch 8540, New Zealand.

Institute of Environmental Science and Research, PO Box 29-181, Christchurch 8540, New Zealand.

出版信息

J Contam Hydrol. 2016 Aug;191:19-32. doi: 10.1016/j.jconhyd.2016.04.006. Epub 2016 Apr 29.

Abstract

Reducing conditions are necessary for denitrification, thus the groundwater redox status can be used to identify subsurface zones where potentially significant nitrate reduction can occur. Groundwater chemistry in two contrasting regions of New Zealand was classified with respect to redox status and related to mappable factors, such as geology, topography and soil characteristics using discriminant analysis. Redox assignment was carried out for water sampled from 568 and 2223 wells in the Waikato and Canterbury regions, respectively. For the Waikato region 64% of wells sampled indicated oxic conditions in the water; 18% indicated reduced conditions and 18% had attributes indicating both reducing and oxic conditions termed "mixed". In Canterbury 84% of wells indicated oxic conditions; 10% were mixed; and only 5% indicated reduced conditions. The analysis was performed over three different well depths, <25m, 25 to 100 and >100m. For both regions, the percentage of oxidised groundwater decreased with increasing well depth. Linear discriminant analysis was used to develop models to differentiate between the three redox states. Models were derived for each depth and region using 67% of the data, and then subsequently validated on the remaining 33%. The average agreement between predicted and measured redox status was 63% and 70% for the Waikato and Canterbury regions, respectively. The models were incorporated into GIS and the prediction of redox status was extended over the whole region, excluding mountainous land. This knowledge improves spatial prediction of reduced groundwater zones, and therefore, when combined with groundwater flow paths, improves estimates of denitrification.

摘要

反硝化作用需要还原条件,因此地下水的氧化还原状态可用于识别可能发生显著硝酸盐还原的地下区域。利用判别分析,根据氧化还原状态对新西兰两个对比区域的地下水化学进行了分类,并将其与可绘制的因素(如地质、地形和土壤特征)相关联。分别对从怀卡托和坎特伯雷地区568口和2223口井采集的水样进行了氧化还原状态分类。在怀卡托地区,64%的采样井表明水中为有氧条件;18%表明为还原条件,18%具有表明还原和有氧条件的属性,称为“混合”。在坎特伯雷地区,84%的井表明为有氧条件;10%为混合条件;只有5%表明为还原条件。分析在三个不同的井深(<25米、25至100米和>100米)上进行。对于这两个地区,氧化地下水的百分比随井深增加而降低。采用线性判别分析建立模型以区分三种氧化还原状态。使用67%的数据为每个深度和区域推导模型,然后在其余33%的数据上进行验证。怀卡托和坎特伯雷地区预测和实测氧化还原状态之间的平均一致性分别为63%和70%。这些模型被纳入地理信息系统,并将氧化还原状态的预测扩展到整个地区(不包括山区)。这一知识改进了对还原地下水区域的空间预测,因此,与地下水流路径相结合时,改进了反硝化作用的估计。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验