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2011-2018年兴凯湖水体物理和化学指标监测数据集

A dataset of water physical and chemical properties in Xingkai Lake from 2011 to 2018
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摘要 兴凯湖是中俄最大的界湖,其水环境质量与跨地区生态安全密切相关。本数据集整理了2011–2018年5月份和9月份黑龙江兴凯湖湖泊湿地生态系统国家野外科学观测研究站的10个常规监测点水质的理化指标数据,包括4项物理指标(水温、p H值、电导率、矿化度)15项化学指标(钠离子、总氮、总磷及化学需氧量等)。所获得数据从样品采集、样品保存与运输及室内分析过程严格采用了国家标准规范和质量控制体系,可以为兴凯湖水质的动态变化过程提供信息。本数据集可以为兴凯湖区域地表水文过程与湿地结构功能关系研究、流域综合治理及中俄流域生态安全保障方面提供基础数据支撑。 Xingkai Lake is the largest boundary lake between China and Russia,and its water quality is closely related to cross-regional ecological security.In this paper,we collected the physical and chemical properties of water quality sampled in May and September at 10 monitoring sites of Xingkai Lake wetland ecosystem national observation and research station in Heilongjiang Province from 2011 to 2018.The dataset covers 4 physical parameters(water temperature,p H,conductivity and salinity)and 15 chemical parameters(sodium ion,total nitrogen,total phosphorus and chemical oxygen demand etc.).The data acquire through the collection,storage and transportation of samples as well as the subsequent laboratory analysis adhere rigorously to national standards and quality control systems.The dataset is expected to provide information on the dynamic processes of water quality in Xingkai Lake,and contribute basic data support for the study of the relationship between wetland hydrological processes and structure and function in Xingkai Lake,integrated watershed management,and ecological security of the China and Russia boundary lake.
作者 路永正 邹元春 赵志春 张童 LU Yongzheng;ZOU Yuanchun;ZHAO Zhichun;ZHANG Tong(Heilongjiang XingkaiLake Wetland Ecosystem National Observation and Research Station,Northeast Institute of Geography and Agroecology,Chinese Academy of Sciences,Changchun 130102,P.R.China)
出处 《中国科学数据(中英文网络版)》 CSCD 2023年第4期189-196,共8页 China Scientific Data
基金 科技基础资源调查专项(2021FY100704) 中国科学院东北地理与农业生态研究所青年科学家小组项目(2022QNXZ01) “一带一路”国际科学组织联盟专题联盟(ANSO-PA-2020-14)。
关键词 兴凯湖 水质 物理和化学指标 监测数据 Xingkai Lake water quality physical and chemical parameters observation data
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