\"1、2018-2022年阿克苏地区农业风沙及暴雨灾害灾情数据集，通过实地调研和座谈形式，向阿克苏农业农村局、应急局、保险公司等单位获取相关农业受灾情况，数据包括：灾害损失和受灾面积等。\n2、2022年塔里木盆地阿克苏地区农作物生理生态调查数据集，以AP4植物气孔计、植物多参数测量仪，测量获取农作物生理生态现状，数据包括：气孔导度、光强度、质子电导率、光合有效辐射等。\n3、2022年塔里木盆地阿和沙漠公路、塔中-且末沙漠公路及其防沙体系沙害现状调查数据集，利用自动气象站、实地采样、资料收集等方式获取公路周边风况、公路及其防沙体系沙害现状、沙物质机械组成等。数据包括：风速，风向，输沙势，沙物质平均粒度、风选系数、峰度、偏度和粒级级配，公路沙埋长度，机械防沙体系沙埋状况等。\"
", "ds_source": "自主产生
", "ds_process_way": "\"1、2018-2022年阿克苏地区农业风沙及暴雨灾害灾情数据集通过实地调研和座谈形式，获取2018-2022年阿克苏地区阿克苏市、阿拉尔市、库车市、沙雅县、新和县、拜城县的棉花、玉米、油料作物、小麦等农作物受暴雨、冰雹、大风等灾害损失情况，包括灾害损失/元、受灾面积/亩等。\n2、2022年塔里木盆地阿克苏地区农作物生理生态调查数据集通过实地调查筛选农作物种类，随机选取单株农作物，使用AP4植物气孔计、植物多参数测量仪测量棉花、长绒棉、核桃、红枣、辣椒、苹果、梨树、枣树等的气孔导度、光强度、质子电导率、光合有效辐射等相关指标。\n3、2022年塔里木盆地阿和沙漠公路、塔中-且末沙漠公路及其防沙体系沙害现状调查数据集通过现场调查方式，获取阿和沙漠公路栅栏破坏程度、草方格破坏程度等公路防护体系沙害现状。通过收集自动气象站数据，获取阿和沙漠公路周边风速风向数据，采用输沙势计算公式获得公路周边输沙状况。通过实地采样，室内粒度仪分析方式，获取阿和公路20个断面的沙物质分布情况，包括平均粒度、风选系数、峰度、偏度、1.5-1mm、1-0.5mm、0.5-0.25mm、0.25-0.125mm、0.125-0.063mm、0.063-0.02mm、0.02-0.002mm，7个粒级级配。通过实地调查方式，获取塔中-且末沙漠公路防沙体系沙害现状，包括草方格、第一道栅栏、第二道栅栏的全埋、半埋、风蚀、压埋占比等风沙灾害调查数据。\"
", "ds_quality": "该数据符合中国人民共和国国家标准《粒度分析结果的表述 第2部分：由粒度分布计算平均粒径/直径和各次矩》GB/T 15445.2-2006以及《地面气象观测规范 总则》GB/T 35221-2017标准，质量良好。
", "ds_acq_start_time": null, "ds_acq_end_time": null, "ds_acq_place": "塔克拉玛干沙漠", "ds_acq_lon_east": null, "ds_acq_lat_south": null, "ds_acq_lon_west": null, "ds_acq_lat_north": null, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 1879415, "ds_files_count": 27, "ds_format": "电子表格", "ds_space_res": null, "ds_time_res": "年均", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "111fd735-fcf2-4d1b-8e43-b0622b3b745d.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "a5877b42-96ea-4f13-af7e-246f355413d6", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 1, "publish_time": "2024-09-25 12:02:25", "first_publish_time": "2024-09-25 12:02:25", "last_updated": "2025-10-13 10:59:39", "protected": false, "protected_to": null, "lang": "zh", "cstr": "33110.11.XIEG.xjsedata.2022.00000062", "license": null, "extra": null, "files_shape": [ { "name": "实体数据", "size": null, "is_dir": true }, { "name": "附件", "size": null, "is_dir": true } ], "features": null, "data_level": 0, "i18n": { "en": { "title": "Survey data sets of sandstorm disasters in typical sections of key areas of the Tarim Basin (2022)", "ds_abstract": "\"1. The 2018 - 2022 agricultural sandstorm and heavy rain disaster data set in the Aksu Prefecture. Through field research and discussions, relevant agricultural disaster situations were obtained from Aksu Agriculture and Rural Affairs Bureau, Emergency Bureau, insurance companies and other units. The data includes: disaster losses and affected area.\n2. In the 2022 crop physiological and ecological survey data set in the Aksu Prefecture of the Tarim Basin, AP4 plant stomatal meter and plant multi-parameter measuring instrument were used to measure and obtain the physiological and ecological status of crops. The data included: stomatal conductance, light intensity, proton conductivity, photosynthetic effective radiation, etc.\n3. The 2022 survey data set on the sand damage status quo of the Ahe Desert Highway, the Tazhong-Qiemo Desert Highway and their sand prevention systems in the Tarim Basin, using automatic weather stations, field sampling, data collection and other methods to obtain the wind conditions around the highway, the highway and its sand prevention system. The current status of sand damage, the mechanical composition of sand materials, etc. Data include: wind speed, wind direction, sand transport potential, average particle size, winnowing coefficient, kurtosis, skewness and particle size grading of sand material, sand burial length of highway, sand burial status of mechanical sand prevention system, etc. \"
", "ds_source": "self-contained
", "ds_process_way": "\"1. Data set of agricultural sandstorm and rainstorm disasters in Aksu Prefecture from 2018 to 2022 Through field investigation and discussion, the disaster losses of cotton, corn, oil crops, wheat and other crops in Aksu Aksu Prefecture, Alar City, Kuqa city, Shaya County, Xinhe County and Baicheng County from 2018 to 2022 were obtained, including disaster losses/yuan and affected area/mu.\n2. The 2022 crop physiological and ecological survey data set in the Aksu Prefecture of the Tarim Basin selects crop types through field surveys, randomly selects individual crops, and uses AP4 plant stomatal meter and plant multi-parameter measuring instrument to measure stomatal conductance, light intensity, proton conductivity, photosynthetic active radiation and other related indicators of cotton, long-staple cotton, walnut, red dates, pepper, apple, pear, jujube, etc.\n3. The 2022 Sand Damage Survey Data Set on the Ahe Desert Highway, Tazhong-Qiemo Desert Highway and their Sand Control System in the Tarim Basin. Through on-site surveys, we obtained the degree of fence damage and grass grid damage on the Ahe Desert Highway. Current situation of sand damage in the protection system. By collecting data from automatic weather stations, wind speed and direction data around the Ahe Desert Highway are obtained, and the sand transport potential calculation formula is used to obtain the sand transport status around the highway. Through on-site sampling and indoor particle size analyzer analysis, the distribution of sand substances in 20 sections of Ahe Highway was obtained, including average particle size, wind separation coefficient, kurtosis, skewness, 1.5-1mm, 1- 0.5 mm, 0.5- 0.25 mm, 0.25- 0.125 mm, 0.125- 0.063 mm, 0.063-0.02mm, 0.02-0.002mm, and 7 grain grade gradations. Through on-site investigation, the current status of sand damage in the sand prevention system of the Tazhong-Qiemo Desert Highway was obtained, including the full burial, semi-burial, wind erosion, and burial proportions of grass grids, the first fence, and the second fence. Disaster survey data. \"
", "ds_quality": "This data conforms to the national standard of the People's Republic of China \"Expression of Grain Size Analysis Results-Part 2: Calculation of Average Grain Size/Diameter and Moments from Grain Size Distribution\" GB/T 15445.2-2006 and \"General Rules for Ground Meteorological Observations\" GB/T 35221-2017, and is of good quality.
", "ds_acq_place": "taklimakan desert", "ds_format": "spreadsheet", "ds_time_res": "average annual" } }, "license_type": null, "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": [ "自然灾害", "风沙灾害" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "塔里木盆地" ], "ds_time_tags": [ 2022 ], "ds_contributors": [ "俞祥祥" ], "ds_meta_authors": [ "俞祥祥" ], "ds_managers": [ "李生宇" ], "category": "自然灾害" }