湿地生态系统对于缓解全球气候变化具有重要作用，长期、连续的碳水通量涡度监测有助于更好地保护和利用湿地生态系统的服务功能。然而，由于相关监测数据数量的欠缺，关注湿地生态系统碳水通量变化的研究还相对较少，因此亟需高质量的监测数据集提供支持。中国科学院黄河三角洲滨海湿地生态试验站（简称黄河三角洲站）自2010年起基于涡度协方差技术开始对芦苇湿地生态系统进行连续监测，迄今已积累了多年的碳水通量观测数据。本数据集基于黄河三角洲站已进行的监测工作，汇总整理了2011–2018年间的站点碳水通量涡度观测数据，并形成了半小时尺度、日尺度、月尺度和年际尺度4种时间分辨率下的数据产品。\n
本数据集对准确评估黄河三角洲湿地生态系统的碳水通量及其各时间尺度上的动态变化规律提供了可靠的数据支撑。
", "ds_source": "本数据产品的处理方法按照黄河三角洲站标准化的涡度数据处理流程进行，主要分为数据前处理过程、数据质控过程、数据后处理过程和通量数据产品形成4个步骤。
", "ds_process_way": "涡度观测设备测得的10 Hz原始高频数据储存于数据采集器内的数据存储卡中，负责维护的人员每月会至少采集两次原始数据，并进行检查、备份，确保监测数据的连续性。此外，观测站点每年都会有仪器工程师进行现场标定，最大程度保证观测站点内碳水通量数据的准确性和可靠性。
", "ds_quality": "经过数据前处理和质控过程后，大部分年份的碳水通量有效数据比例维持在60 %左右，且数据质量良好。
", "ds_acq_start_time": "2011-01-01 00:00:00", "ds_acq_end_time": "2018-12-31 00:00:00", "ds_acq_place": "黄河三角洲站", "ds_acq_lon_east": 118.98083333333334, "ds_acq_lat_south": 37.76638888888889, "ds_acq_lon_west": 118.98083333333334, "ds_acq_lat_north": 37.76638888888889, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 11060738, "ds_files_count": 2, "ds_format": "Excel", "ds_space_res": null, "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "49b1002d-8fc9-461e-9e11-7c50559f5af4.jpg", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "b412fac3-1f10-4eb6-9d10-c51bcea30d0c", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2023-12-28 15:54:22", "last_updated": "2025-05-29 11:38:53", "protected": false, "protected_to": null, "lang": "zh", "cstr": "https://cstr.cn/31253.11.sciencedb.j00001.00867", "i18n": { "en": { "title": "Carbon and Water Flux Observation Dataset of Reed Wetland Ecosystem in the Yellow River Delta (2011–2018)", "ds_format": "Excel", "ds_source": "The processing method for this data product follows the standardized eddy data processing workflow of the Yellow River Delta Station, mainly divided into four steps: data pre-processing, data quality control, data post-processing, and the formation of flux data products.
", "ds_quality": "After data pre-processing and quality control, the proportion of valid carbon and water flux data for most years remains around 60%, and the data quality is good.
", "ds_ref_way": "", "ds_abstract": "Wetland ecosystems play a crucial role in mitigating global climate change, and long-term, continuous eddy covariance monitoring of carbon and water fluxes is essential for better conserving and utilizing the service functions of wetland ecosystems. However, due to the scarcity of relevant monitoring data, there are relatively few studies focusing on changes in carbon and water fluxes in wetland ecosystems. Therefore, there is an urgent need for high-quality monitoring datasets to provide support. The Coastal Wetland Ecological Experimental Station of the Yellow River Delta, Chinese Academy of Sciences (hereinafter referred to as the Yellow River Delta Station) has been continuously monitoring the reed wetland ecosystem based on eddy covariance technology since 2010, and has accumulated years of observation data on carbon and water fluxes. This dataset is based on the monitoring work already conducted by the Yellow River Delta Station, summarizing and organizing the eddy covariance observation data of carbon and water fluxes at the station from 2011 to 2018, and forming data products with four temporal resolutions: half-hourly, daily, monthly, and inter-annual scales.\n
This dataset provides reliable data support for accurately assessing the carbon and water fluxes of the wetland ecosystem in the Yellow River Delta and their dynamic changes at various temporal scales.
", "ds_time_res": "", "ds_acq_place": "Yellow River Delta Station", "ds_space_res": "", "ds_projection": "", "ds_process_way": "The 10 Hz raw high-frequency data measured by the eddy covariance observation equipment is stored on the data storage card within the data collector. Personnel responsible for maintenance collect the raw data at least twice a month, and perform checks and backups to ensure the continuity of the monitoring data. Additionally, instrument engineers conduct annual field calibrations at the observation sites to maximize the accuracy and reliability of the carbon and water flux data within the observation sites.
", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "doi_reg_from": "reg_outside", "cstr_reg_from": "reg_outside", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "涡度协方差", "芦苇湿地", "碳通量" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "黄河三角洲站" ], "ds_time_tags": [ 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018 ], "ds_contributors": [ { "true_name": "魏思羽", "email": "sywei@yic.ac.cn", "work_for": "中国科学院烟台海岸带研究所", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "魏思羽", "email": "sywei@yic.ac.cn", "work_for": "中国科学院烟台海岸带研究所", "country": "中国" }, { "true_name": "李培广", "email": "pgli@yic.ac.cn", "work_for": "中国科学院烟台海岸带研究所", "country": "中国" }, { "true_name": "初小静", "email": "xjchu@yic.ac.cn", "work_for": "中国科学院烟台海岸带研究所", "country": "中国" }, { "true_name": "宋维民", "email": "wmsong@yic.ac.cn", "work_for": "中国科学院烟台海岸带研究所", "country": "中国" }, { "true_name": "王晓杰", "email": "xiaojiewang@yic.ac.cn", "work_for": "中国科学院烟台海岸带研究所，中国科学院海岸带环境过程与生态修复重点实验室", "country": "中国" }, { "true_name": "赵明亮", "email": "mingliangzhao@yic.ac.cn", "work_for": "中国科学院烟台海岸带研究所", "country": "中国" }, { "true_name": "张孝帅", "email": "xszhang@yic.ac.cn", "work_for": "中国科学院烟台海岸带研究所", "country": "中国" }, { "true_name": "韩广轩", "email": "gxhan@yic.ac.cn", "work_for": "中国科学院烟台海岸带研究所", "country": "中国" } ], "ds_managers": [ { "true_name": "魏思羽", "email": "sywei@yic.ac.cn", "work_for": "中国科学院烟台海岸带研究所", "country": "中国" } ], "category": "生态" }