地球学报2026，Vol.47Issue(3)：443-453,11.DOI:10.3975/cagsb.2026.030901
华北平原地下水砷异常识别-成因-预警关键技术
Key Technologies for the Identification,Genesis,and Early Warning of Groundwater Arsenic Anomalies in the North China Plain
摘要
Abstract
The widespread occurrence of arsenic anomalies in groundwater in the North China Plain poses a serious threat to regional water supply security and sustainable agricultural development.Currently,in terms of the on-site rapid screening of regional high-arsenic groundwater,the analysis of its complex formation mechanisms,and high-precision risk warning,a series of prominent challenges still remain.This study aims to establish a systematic solution for high-arsenic groundwater in the North China Plain by addressing the core bottlenecks in the entire chain of"identification-mechanism analysis-early warning"and has achieved a series of key technological breakthroughs.For rapid identification,the molybdenum blue method for arsenic detection was optimized by extending the storage time of the reducing agent(>7 days),reducing the sulfuric acid concentration in the chromogenic reagent,and shortening the chromogenic reaction time to 6 min.When combined with a self-developed portable three-channel arsenic speciation colorimeter,simultaneous rapid field detection of phosphate,inorganic arsenate(iAs(V)),and inorganic arsenite(iAs(III))in groundwater samples was achieved,significantly improving the efficiency of regional groundwater arsenic investigations.Regarding mechanism analysis,a multi-factor control framework of"sediment dominance-human activity stress-climate change driving"was proposed.A paleochannel migration intensity index was constructed to predict arsenic distribution,elucidate the fundamental controlling role of the Yellow River paleochannel sedimentary environment in regional arsenic enrichment,and quantify the contributions of groundwater overexploitation and meteorological factors to arsenic enrichment.For early risk warning,a dual-driven numerical model for groundwater arsenic risk in North China was developed.Compared with conventional data-driven models,simulation and prediction accuracy improved by more than 20%,effectively enhancing the precision and generalizability of arsenic risk prediction under large-scale,small-sample,and heterogeneous distribution conditions.This study establishes a fully integrated technological system that integrates theory,methodology,and practical application.Promising results have been achieved in multiple provinces across the North China Plain,including Hebei and Inner Mongolia.This study holds significant scientific value and application potential for enhancing China's groundwater investigation and assessment capabilities and for supporting the national"Healthy China"strategy.关键词
砷/地下水/现场快速检测/成因机制/风险预警Key words
arsenic/groundwater/on-site rapid detection/genetic mechanism/early risk warning分类
天文与地球科学引用本文复制引用
曹文庚,郝桂珍,冯创业,宋乐,叶明霞,南天,鲁重生,李晓峰,薛茹,董跃勇,郭华明,郑焰,谢先军,李祥志,段艳华,王妍妍,任宇,庹小宝..华北平原地下水砷异常识别-成因-预警关键技术[J].地球学报,2026,47(3):443-453,11.基金项目
本文由河北省中央引导地方科技发展资金项目(编号:246Z3601G)、国家自然科学基金地质联合基金项目(编号:U2444218)、国家重点研发计划项目课题(编号:2022YFC3703701)、国家自然科学基金项目(编号:42477093)和中国地质科学院基本科研业务费专项(编号:SK202530)联合资助.获中国地质科学院 2024 年度十大科技进展第七名. This study was supported by Central Government Guides Local Science and Technology Development Fund of Hebei Province(No.246Z3601G),United Fund for Geosciences of the National Natural Science Foundation of China(No.U2444218),National Key Research and Development Program of China(No.2022YFC3703701),National Natural Science Founda-tion of China(No.42477093),and Central Pub-lic-interest Scientific Institution Basal Research Fund(No.SK202530). （编号:246Z3601G）
