{
    "created": "2026-07-01 18:15:30",
    "updated": "2026-07-15 14:44:06",
    "id": "5301e9e8-3e86-4beb-917b-52852991f50c",
    "version": 4,
    "ds_topic": null,
    "title_cn": "水库群-蓄滞洪区联合防洪风险与发电效益数据集（1953-2003年）",
    "title_en": "Dataset on Flood Control Risks and Power Generation Benefits of Reservoir Clusters and Flood Detention Areas (1953–2003)",
    "ds_abstract": "<p>&emsp;&emsp;基于1954年至2008年三峡-清江流域来水数据，采用风险评估方法以及水库发电效益计算方法，分别以风险条件价值和发电量对应电价计算了不同水库防洪库容下流域防洪风险以及发电效益，从而形成了水库群-蓄滞洪区联合防洪风险与发电效益数据集。本数据集为提升水库群与蓄滞洪区联合防洪能力以及防洪库容的协调决策提供了依据。</p>\n<p>&emsp;&emsp;1.发电效益分析表内包含不同水库防洪库容与发电效益的对应数据关系，其中库容单位为亿m3，发电效益单位为亿元；\n<p>&emsp;&emsp;2.蓄滞洪区淹没损失表内包含不同蓄滞洪区防洪库容与蓄滞洪区淹没损失的对应数据关系，其中库容单位为亿m3，淹没损失单位为亿元；\n<p>&emsp;&emsp;3.诸如“50000+3+220”表内包含不同减少的防洪库容与总淹没损失的对应数据关系，其中例如表名“50000+3+200”代表计算环境为安全流量为50000m3，损失系数为3，三峡水库防洪库容为220亿m3，第一行中“0，10,…,50”代表蓄滞洪区减少的防洪库容，纵第一列列代表累积概率，第八列“CVaR”代表蓄滞洪区防洪库容最大时不同置信度下的条件风险价值，其余数据代表不同累积概率对应的风险损失，单位为亿元。",
    "ds_source": "<p>&emsp;&emsp;通过模拟计算得到</p>",
    "ds_process_way": "<p>&emsp;&emsp;1.根据水库群特性参数与汛期平均来水通过出力公式计算发电效益。\n<p>&emsp;&emsp;2.根据洪水不确定性生成多场洪水，通过水库群-蓄滞洪区联合防洪调度模型模拟不同水库群防洪库容、蓄滞洪区防洪库容、安全流量、损失系数下的整体淹没损失，并将此形成累积风险曲线。",
    "ds_quality": "",
    "ds_acq_start_time": "1953-01-01 00:00:00",
    "ds_acq_end_time": "2003-12-31 00:00:00",
    "ds_acq_place": "三峡-清江流域",
    "ds_acq_lon_east": 113.2,
    "ds_acq_lat_south": 25.8,
    "ds_acq_lon_west": 102.7,
    "ds_acq_lat_north": 31.3,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "login-access",
    "ds_total_size": 5813289,
    "ds_files_count": 0,
    "ds_format": "*.xlsx",
    "ds_space_res": "",
    "ds_time_res": "年",
    "ds_coordinate": "无",
    "ds_projection": "",
    "ds_thumbnail": "5301e9e8-3e86-4beb-917b-52852991f50c.png",
    "ds_thumb_from": 2,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "在使用数据时，请注明“数据来自国家重点研发计划课题‘水库群汛期运行水位动态控制风险辨识与适应性调控技术’（2022YFC3202803）”。",
    "ds_from_station": "",
    "organization_id": "44547705-9513-4685-a641-661bdf406520",
    "ds_serv_man": "",
    "ds_serv_phone": "",
    "ds_serv_mail": "",
    "doi_value": "",
    "subject_codes": [
        "170.55"
    ],
    "quality_level": 0,
    "publish_time": "2026-07-14 10:35:36",
    "last_updated": "2026-07-14 11:16:07",
    "protected": false,
    "protected_to": "2027-01-01 00:00:00",
    "lang": "zh",
    "cstr": "",
    "i18n": {
        "en": {
            "title": "Dataset on Flood Control Risks and Power Generation Benefits of Reservoir Clusters and Flood Detention Areas (1953–2003)",
            "ds_format": "*.xlsx",
            "ds_source": "<p>&emsp;&emsp;Obtained through simulation calculations</p>",
            "ds_quality": "",
            "ds_ref_way": "",
            "ds_abstract": "<p>&emsp;&emsp;Based on the inflow data of the Three Gorges and Qingjiang River Basin from 1954 to 2008, the risk assessment method and the reservoir power generation benefit calculation method were used to calculate the flood control risks and power generation benefits of the basin under different reservoir flood control capacity based on the value of risk conditions and the corresponding electricity prices of power generation respectively. Thus, a data set of joint flood control risks and power generation benefits of reservoirs and flood storage and detention areas was formed. This dataset provides a basis for improving the joint flood control capacity of reservoirs and flood storage and detention areas and coordinating decision-making of flood control capacity. </p>\r\n<p>&emsp;&emsp;1. The power generation benefit analysis table contains the corresponding data relationship between the flood control capacity of different reservoirs and power generation benefits, where the unit of storage capacity is 100 million m3, and the unit of power generation benefit is 100 million yuan;\r\n<p>&emsp;&emsp;2. The flood storage and detention area inundation loss table contains the corresponding data relationship between the flood control capacity of different flood storage and detention areas and the flood storage and detention area inundation loss, in which the unit of storage capacity is 100 million m3, and the unit of inundation loss is 100 million yuan;\r\n<p>&emsp;&emsp;3. For example, the \"50000+3+220\" table contains the corresponding data relationship between different reduced flood control storage capacity and total inundation losses. For example, the table name \"50000+3+200\" means that the calculation environment is a safe flow rate of 50000m3, the loss coefficient is 3, and the flood control storage capacity of the Three Gorges Reservoir is 22 billion m3. The \"0, 10,..., 50\" in the first row represent the reduced flood control storage capacity in the flood storage and detention area, and the first column represents the cumulative probability. The eighth column \"CVaR\" represents the conditional risk value under different confidence levels when the flood control capacity of the flood storage and detention area is maximum, and the remaining data represents the risk losses corresponding to different cumulative probabilities, in units of 100 million yuan.",
            "ds_time_res": "",
            "ds_acq_place": "Three Gorges and Qingjiang River Basin",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp;&emsp;1. Calculate the power generation benefit according to the characteristic parameters of the reservoir group and the average inflow output formula during the flood season.\r\n<p>&emsp;&emsp;2. Multiple floods are generated according to flood uncertainty. The reservoir group-flood storage and detention area joint flood control dispatch model is used to simulate the overall inundation losses under different reservoir group flood control capacity, flood storage and detention area flood control capacity, safety flow, and loss coefficient, and this forms a cumulative risk curve.",
            "ds_ref_instruction": "When using the data, please indicate \"The data comes from the national key research and development plan topic 'Risk Identification and Adaptive Regulation Technology for Dynamic Control of Reservoir Group Operating Water Level in Flood Season'(2022YFC3202803)\"."
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "recommendation_value": 0,
    "license_type": "https://creativecommons.org/licenses/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,
    "belong_to_nieer": false,
    "ds_topic_tags": [
        "防洪风险",
        "发电效益"
    ],
    "ds_subject_tags": [
        "水文学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "三峡，荆江"
    ],
    "ds_time_tags": [
        1953,
        2003
    ],
    "ds_contributors": [
        {
            "true_name": "穆振宇",
            "email": "1165638656@qq.com",
            "work_for": "武汉大学",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "穆振宇",
            "email": "1165638656@qq.com",
            "work_for": "武汉大学",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "穆振宇",
            "email": "1165638656@qq.com",
            "work_for": "武汉大学",
            "country": "中国"
        }
    ],
    "category": "水文"
}