{
    "created": "2025-02-26 15:53:12",
    "updated": "2026-05-05 08:51:49",
    "id": "9a67a1b1-439b-46d2-bf33-bbf4660e8359",
    "version": 8,
    "ds_topic": null,
    "title_cn": "滁河流域典型蓄滞洪区蓄洪能力与社会经济资料数据集",
    "title_en": "Data set on flood storage capacity and socio-economic information of typical storage and detention flood zones in the Chu River Basin",
    "ds_abstract": "<p>&emsp;&emsp;本研究选取滁河襄河口闸以上11处典型圩区作为备选蓄滞洪区，收集整理了圩区内蓄洪面积、容积、人口、耕地面积、GDP等数据作为输入数据，输出数据为各圩区采用本研究的布局优化方法评价的各项指标得分。\n<p>&emsp;&emsp;11处典型圩区为高洪圩、立新圩、再安圩、岗李圩、丘高圩、程家圩、孙小圩、相城-含山东圩、小皂角圩、荒草一圩、红光圩。蓄洪面积单位为平方千米，容积单位为万立方米，人口单位为万人，耕地面积单位为万亩，GDP单位为亿元。输出数据无单位。",
    "ds_source": "<p>&emsp;&emsp;本研究数据来源为安徽省合肥市、滁州市水利局等水行政主管部门填报。有较强可靠性。",
    "ds_process_way": "<p>&emsp;&emsp;输入数据为调研收集；采用综合评分法，首先计算各指标的得分值，再按不同指标的赋分标准对各评估指标进行赋分（各指标赋分的最大值反映了各指标的重要性），然后将各指标赋分相加求得总分。",
    "ds_quality": "<p>&emsp;&emsp;由地方政府相关部门提供，具有较高可信度和准确性，与其他研究采用同类数据保持较高的一致性。",
    "ds_acq_start_time": "2022-01-01 00:00:00",
    "ds_acq_end_time": "2022-12-31 00:00:00",
    "ds_acq_place": "长江下游典型蓄滞洪区",
    "ds_acq_lon_east": 119.03,
    "ds_acq_lat_south": 31.52,
    "ds_acq_lon_west": 117.28,
    "ds_acq_lat_north": 32.44,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "login-access",
    "ds_total_size": 13057,
    "ds_files_count": 2,
    "ds_format": "*.xlsx",
    "ds_space_res": "无",
    "ds_time_res": "",
    "ds_coordinate": "无",
    "ds_projection": "",
    "ds_thumbnail": "9a67a1b1-439b-46d2-bf33-bbf4660e8359.png",
    "ds_thumb_from": 0,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": null,
    "organization_id": "37eb642a-c117-47e4-a677-07ecffb4b8b7",
    "ds_serv_man": "李红星",
    "ds_serv_phone": "0931-4967592",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [
        "170.55"
    ],
    "quality_level": 3,
    "publish_time": "2025-03-13 16:09:52",
    "last_updated": "2025-06-30 11:40:11",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.NCDC.NHRI.DB6801.2025",
    "i18n": {
        "en": {
            "title": "Data set on flood storage capacity and socio-economic information of typical storage and detention flood zones in the Chu River Basin",
            "ds_format": "*.xlsx",
            "ds_source": "<p>&emsp; The source of data for this study is filled in by the water administrative authorities of Hefei City and Chuzhou City Water Resources Bureau in Anhui Province. There is a strong reliability.",
            "ds_quality": "<p>&emsp; Provided by the relevant local government departments, it has a high degree of credibility and accuracy, and maintains a high degree of consistency with other studies using similar data.",
            "ds_ref_way": "",
            "ds_abstract": "<p>  This study selected 11 typical polders above the Xianghekou gate of the Chu River as alternative flood storage areas, collected and collated data such as flood storage area, volume, population, arable land area, GDP and other data in the polders as input data, and the output data are the scores of indicators evaluated by each polders with the optimization method of the layout of this study.\n<p>  11 typical polders are Gaohong pike, Lixin pike, Rean pike, Gangli pike, Qugao pike, Chengjia pike, Sun Xiaoxu pike, Xiangcheng-Hanshandong pike, Xiaosuijiao pike, Arakusa a pike, Hongguang pike. The unit of flood storage area is square kilometers, the unit of volume is ten thousand cubic meters, the unit of population is ten thousand people, the unit of cultivated area is ten thousand acres, and the unit of GDP is billion yuan. The output data is unitless.</p></p>",
            "ds_time_res": "",
            "ds_acq_place": "Typical flood storage and detention areas in the lower reaches of the Yangtze River",
            "ds_space_res": "无",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp; Input data are collected for research; using the comprehensive scoring method, the score value of each indicator is first calculated, and then points are assigned to each assessment indicator according to the scoring criteria of different indicators (the maximum value of the scores assigned to each indicator reflects the importance of each indicator), and then the scores assigned to each indicator are added up to obtain the total score.",
            "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": [
        "滁河",
        "蓄洪能力",
        "社会经济"
    ],
    "ds_subject_tags": [
        "水文学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "中国",
        "滁河",
        "安徽"
    ],
    "ds_time_tags": [],
    "ds_contributors": [
        {
            "true_name": "蒋磊",
            "email": "jianglei@cjwsjy.com.cn",
            "work_for": "长江勘测规划设计研究有限责任公司",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "蒋磊",
            "email": "jianglei@cjwsjy.com.cn",
            "work_for": "长江勘测规划设计研究有限责任公司",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "蒋磊",
            "email": "jianglei@cjwsjy.com.cn",
            "work_for": "长江勘测规划设计研究有限责任公司",
            "country": "中国"
        }
    ],
    "category": "社会经济文化"
}