{
    "created": "2018-07-05 09:54:04",
    "updated": "2026-05-19 04:44:37",
    "id": "6c869921-e96f-40d3-9824-5006a99a31a0",
    "version": 3,
    "ds_topic": null,
    "title_cn": "黑河流域土壤质地数据（2011）",
    "title_en": "Soil texture dataset of the Heihe river basin (2011)",
    "ds_abstract": "<p>该数据采用1KM空间分辨率和WGS-84投影方式，土壤质地属性和类别均表示表层0-30cm土壤质地属性，通过深度加权平均而来。属性表中texname表示土壤质地类型名称；sandrange, siltrange, clayrange分别表示USDA土壤三角图中砂粒、粉粒、粘粒含量范围，sandaverage, siltaverage, clayaverage取自实测土壤剖面的砂粒、粉粒、粘粒含量平均值，作为该土壤类型的砂粉粘含量。（注：粘壤土各粒级含量来源于北师大土壤质地图）。土壤质地分类标准为美国USDA制，砂粒粒级定义为（2~0.05mm），粉粒粒级为（0.05~0.002mm）及粘粒粒级定义为(&lt;0.002mm)。</p>",
    "ds_source": "<p>黑河流域已有土壤质地图、土壤剖面</p>",
    "ds_process_way": "<p>黑河流域土壤质地数据（2011）是刘超等（2011）利用SOLIM模型，基于著名的土壤学Jenny方程，根据气候、生物、地形、母质等环境因子等，在黑河流域已有土壤质地图、土壤剖面的基础上，利用知识挖掘和模糊逻辑相结合的方法产生的，并融合了冰川、湖泊等专题图内容。制图方法根据黑河流域六个生态分区的不同特点，上中下游分别采用不同的制图方法。</p>",
    "ds_quality": "",
    "ds_acq_start_time": "2011-01-01 00:00:00",
    "ds_acq_end_time": "2011-12-31 00:00:00",
    "ds_acq_place": "黑河流域",
    "ds_acq_lon_east": 104.19972222222222,
    "ds_acq_lat_south": 37.7,
    "ds_acq_lon_west": 96.01666666666667,
    "ds_acq_lat_north": 43.25,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "login-access",
    "ds_total_size": 40734,
    "ds_files_count": 2,
    "ds_format": "grid",
    "ds_space_res": "1000.0m",
    "ds_time_res": "",
    "ds_coordinate": "WGS84",
    "ds_projection": "+proj=longlat +datum=WGS84 +no_defs ",
    "ds_thumbnail": "6c869921-e96f-40d3-9824-5006a99a31a0.png",
    "ds_thumb_from": 0,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "None",
    "ds_from_station": null,
    "organization_id": "9c4867b1-5cb1-4de0-abeb-df42547bf41e",
    "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": "2020-12-30 09:29:29",
    "last_updated": "2023-09-04 13:23:14",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.Westdc.2020.381",
    "i18n": {
        "en": {
            "title": "Soil texture dataset of the Heihe river basin (2011)",
            "ds_format": "grid",
            "ds_source": "<p>Existing soil quality map and soil profile in Heihe River Basin</p>",
            "ds_quality": "",
            "ds_ref_way": "",
            "ds_abstract": "<p>The data adopts 1km spatial resolution and WGS-84 projection mode, and the data format is grid format. The soil texture attributes and categories represent the soil texture attributes of 0-30cm in the surface layer, which are obtained by depth weighted average. Textname in the attribute table indicates the name of soil texture type; sandrange, siltrange and clayrange respectively indicate the content range of sand, silt and clay in USDA soil triangle map; Sandage, silverage and clayage are taken from the average content of sand, silt and clay in the measured soil profile as the sand, silt and clay content of the soil type. (Note: the grain content of clay loam comes from the soil quality map of Beishida). The classification standard of soil texture is USDA system in the United States. The sand size is defined as (2-0.05mm), the silt size is defined as (0.05-0.002mm) and the clay size is defined as (&amp; lt; 0.002mm). </p>",
            "ds_time_res": "",
            "ds_acq_place": "In the middle and lower reaches of Heihe River Basin, Heihe River,",
            "ds_space_res": "1000.0m",
            "ds_projection": "+proj=longlat +datum=WGS84 +no_defs ",
            "ds_process_way": "<p>The soil texture data of Heihe River Basin (2011) is generated by Liu Chao et al. (2011) based on the famous Jenny equation of soil science, climate, biology, topography, parent material and other environmental factors. On the basis of the existing soil texture map and soil profile of Heihe River Basin, the method of knowledge mining and fuzzy logic is used to integrate the glaciers, lakes and other topics The content of the map. According to the different characteristics of six ecological divisions in Heihe River Basin, different mapping methods are used in the upper, middle and lower reaches. </p>",
            "ds_ref_instruction": "In order to respect intellectual property rights, protect the rights and interests of data authors, expand the services of data centers, and evaluate the application potential of data, data users are requested to clearly indicate the data source and data authors in the research results (including published papers, works, data products and unpublished research reports, data products, etc.) produced by using data. For data reprinted (secondary or multiple releases), the author must also indicate the source of the original data."
        }
    },
    "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,
    "ds_topic_tags": [
        "土壤质地",
        "土壤",
        "砂粒，粉粒，粘粒"
    ],
    "ds_subject_tags": [
        "自然地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "黑河流域"
    ],
    "ds_time_tags": [
        2011
    ],
    "ds_contributors": [
        {
            "true_name": "卢玲",
            "email": "luling@lzb.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "刘超",
            "email": "lc287@126.com",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": ""
        }
    ],
    "ds_managers": [
        {
            "true_name": "卢玲",
            "email": "luling@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": "基础地理"
}