{
    "created": "2021-03-30 03:00:37",
    "updated": "2026-05-01 10:43:28",
    "id": "299a94e2-4013-45ac-89cc-7673de927c77",
    "version": 6,
    "ds_topic": null,
    "title_cn": "2015-2019年黄河流域城镇、农村生活污废水处理数据",
    "title_en": "Data of urban and rural domestic sewage treatment in the Yellow River Basin from 2015 to 2019",
    "ds_abstract": "<p>&emsp;&emsp;本数据集收录了流域城镇、农村生活废水处理数据。数据主要为自然语言。\n<p>&emsp;&emsp;1.数据集命名：\n      流域城镇、农村生活污废水处理数据.xlsx\n<p>&emsp;&emsp;2.属性信息：\n      省：流域流经省级区域\n      市：流域流经市级区域\n      县(区)：流域流经区县级区域\n      城镇、农村生活污染废水处理设施已建规模：包括建设规模大小、处理能力、建设投资等；\n      已投运能力：包括污水处理厂数、已投运能力等；\n      处理能力：包括污水处理日能力、处理量等；\n      现阶段处理量：包括污水处理厂处理总量等；\n      已建污水管道：包括污水排水管网长度、清淤管道长度等；\n      污水收集率：污水处理厂日、年污水收集率；\n      现有污水处理厂污泥处置状况：包括处置量、检查事件等。</p>",
    "ds_source": "<p>&emsp;&emsp;本数据集数据源主要来源于黄河流域各地区统计年鉴，共计103个。</p>",
    "ds_process_way": "<p>&emsp;&emsp;本数据集数据源主要来源于黄河流域地区年鉴，共计103个地区年鉴，将数据整理成表格形式。</p>",
    "ds_quality": "<p>&emsp;&emsp;在数据生产汇集过程中，严格把控数据质量控制措施，有健全的数据产生过程和使用方法。</p>",
    "ds_acq_start_time": "2015-01-01 00:00:00",
    "ds_acq_end_time": "2019-12-31 00:00:00",
    "ds_acq_place": "黄河流域",
    "ds_acq_lon_east": 119.05,
    "ds_acq_lat_south": 32.15,
    "ds_acq_lon_west": 95.85,
    "ds_acq_lat_north": 42.81666666666667,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "login-access",
    "ds_total_size": 63822,
    "ds_files_count": 2,
    "ds_format": "Excel",
    "ds_space_res": null,
    "ds_time_res": "",
    "ds_coordinate": "无",
    "ds_projection": "",
    "ds_thumbnail": "299a94e2-4013-45ac-89cc-7673de927c77.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": "敏玉芳",
    "ds_serv_phone": "0931-4967596",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "10.12072/ncdc.YRiver.db1927.2022",
    "subject_codes": [
        "170.4520"
    ],
    "quality_level": 3,
    "publish_time": "2022-04-01 17:20:25",
    "last_updated": "2025-05-29 11:38:52",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.YRiver.2021.45",
    "i18n": {
        "en": {
            "title": "Data of urban and rural domestic sewage treatment in the Yellow River Basin from 2015 to 2019",
            "ds_format": "Excel",
            "ds_source": "<p>&emsp;The data sources of this dataset are primarily derived from the statistical yearbooks of 103 regions within the Yellow River Basin.</p>",
            "ds_quality": "<p>&emsp;During the process of data collection and compilation, strict measures for data quality control were implemented, ensuring a robust data generation process and usage methodology.\n</p>",
            "ds_ref_way": "",
            "ds_abstract": "<p> This dataset contains data on urban and rural domestic wastewater treatment in the river basin. The data is primarily presented in natural language.\n<p> 1.Dataset Name:\nUrban and Rural Domestic Wastewater Treatment Data in the River Basin.xlsx\n<p> 2.Attribute Information:\nProvince: The provincial regions through which the river basin flows.\nCity: The municipal regions through which the river basin flows.\nCounty/District: The county/district-level regions through which the river basin flows.\nEstablished Scale of Urban and Rural Domestic Wastewater Treatment Facilities: Including construction scale, treatment capacity, and construction investment.\nOperational Capacity: Including the number of wastewater treatment plants and their operational capacity.\nTreatment Capacity: Including daily wastewater treatment capacity and treatment volume.\nCurrent Treatment Volume: Including the total treatment volume of wastewater treatment plants.\nEstablished Sewage Pipelines: Including the length of sewage drainage pipelines and the length of dredged pipelines.\nSewage Collection Rate: Daily and annual sewage collection rates of wastewater treatment plants.\nExisting Sludge Disposal Status of Wastewater Treatment Plants: Including disposal volume and inspection incidents.</p></p></p>",
            "ds_time_res": "",
            "ds_acq_place": "Yellow River Basin",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp;This dataset's data sources are primarily derived from the regional yearbooks of the Yellow River Basin, encompassing a total of 103 regional yearbooks. The data has been organized into a tabular format.</p>",
            "ds_ref_instruction": ""
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "license_type": "CC BY 4.0",
    "doi_reg_from": "reg_local",
    "cstr_reg_from": "reg_local",
    "doi_not_reg_reason": null,
    "cstr_not_reg_reason": null,
    "is_paper_in_submitting": false,
    "ds_topic_tags": [
        "城镇、农村生活污染废水处理设施已建规模",
        "已投运规模",
        "处理能力",
        "现阶段处理量",
        "已建污水管道",
        "污水收集率",
        "雨污合流管道长度",
        "现有污水处理厂污水处置状况"
    ],
    "ds_subject_tags": [
        "人文地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "河南省",
        "宁夏回族自治区",
        "青海省",
        "山东省",
        "山西省",
        "陕西省"
    ],
    "ds_time_tags": [
        2015,
        2016,
        2017,
        2018,
        2019
    ],
    "ds_contributors": [
        {
            "true_name": "张耀南",
            "email": "yaonan@lzb.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        },
        {
            "true_name": "康建芳",
            "email": "kangjf@lzb.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        },
        {
            "true_name": "刘春",
            "email": "liuchun@henu.edu.cn",
            "work_for": "河南大学",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "刘春",
            "email": "liuchun@henu.edu.cn",
            "work_for": "河南大学",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "敏玉芳",
            "email": "myf@lzb.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        }
    ],
    "category": "生态"
}