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利用地球化学、稳定同位素和统计工具估算中国济南泉域地下水硝酸盐的来源与转化

Using Geochemistry, Stable Isotopes and Statistical Tools to Estimate the Sources and Transformation of Nitrate in Groundwater in Jinan Spring Catchment, China.

作者信息

Wang Kairan, Fan Mingyuan, Wu Zhen, Zhang Xin, Wang Hongbo, Chen Xuequn, Wang Mingsen

机构信息

Water Resources Research Institute of Shandong Province, Jinan 250014, China.

Shandong Provincial Key Laboratory of Water Resources and Environment, Jinan 250014, China.

出版信息

Toxics. 2025 May 14;13(5):393. doi: 10.3390/toxics13050393.

Abstract

Nitrate (NO) pollution resulting from anthropogenic activities represents one of the most prevalent environmental issues in karst spring catchments of northern China. In June 2021, a comprehensive study was conducted in the Jinan Spring Catchment (JSC), where 30 groundwater and surface water samples were collected. The sources and spatial distribution of nitrate pollution were systematically investigated through hydrochemical analysis combined with dual-isotope tracing techniques (δN and δO). Analytical results revealed that the predominant anion and cation sequences were HCO > SO > Cl > NO and Ca > Na > Mg > K, respectively, with HCO·SO-Ca identified as the primary hydrochemical type. Notably, the average NO concentration in groundwater (46.62 mg/L) significantly exceeded that in surface water (4.96 mg/L). Among the water samples, 11 locations exhibited substantial nitrate pollution, demonstrating an exceedance rate of 42%. Particularly, the NO-N concentrations in both the upstream recharge area and downstream drainage area were markedly higher than those in the runoff area. The spatial distribution of NO concentrations was primarily influenced by mixing processes, with no significant evidence of denitrification observed. The isotopic compositions ranged from -1.42‱ to 12.79‱ for δN and 0.50‱ to 15.63‱ for δO. Bayesian isotope mixing model (MixSIAR) analysis indicated that domestic sewage and manure constituted the principal nitrate sources, contributing 37.1% and 56.9% to groundwater and surface water, respectively. Secondary sources included soil organic nitrogen, rainfall and fertilizer NH, and chemical fertilizers, while atmospheric deposition showed the lowest contribution rate. Additionally, potential mixing of soil organic nitrogen with chemical fertilizer was identified.

摘要

人为活动导致的硝酸盐(NO)污染是中国北方岩溶泉集水区最普遍的环境问题之一。2021年6月,在济南泉集水区(JSC)开展了一项综合研究,共采集了30个地下水和地表水样本。通过水化学分析结合双同位素示踪技术(δN和δO),系统研究了硝酸盐污染的来源和空间分布。分析结果表明,主要阴离子和阳离子序列分别为HCO₃⁻>SO₄²⁻>Cl⁻>NO₃⁻和Ca²⁺>Na⁺>Mg²⁺>K⁺,其中HCO₃⁻·SO₄²⁻-Ca被确定为主要水化学类型。值得注意的是,地下水中NO₃⁻的平均浓度(46.62mg/L)显著超过地表水中的浓度(4.96mg/L)。在水样中,11个点位呈现出严重的硝酸盐污染,超标率达42%。特别是,上游补给区和下游排泄区的NO₃⁻-N浓度明显高于径流区。NO₃⁻浓度的空间分布主要受混合过程影响,未观察到明显的反硝化作用迹象。δN的同位素组成范围为-1.42‰至12.79‰,δO的同位素组成范围为0.50‰至15.63‰。贝叶斯同位素混合模型(MixSIAR)分析表明,生活污水和粪便构成了主要的硝酸盐来源,分别占地下水和地表水硝酸盐来源的37.1%和56.9%。次要来源包括土壤有机氮、降雨和肥料NH₃以及化肥,而大气沉降的贡献率最低。此外,还发现了土壤有机氮与化肥的潜在混合情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c7a/12115667/d25baed5d374/toxics-13-00393-g001.jpg

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