<p>"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. 2. 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. 3. 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. "</p>
self-contained
"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. 2. 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. 3. 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. "
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.
| # | number | name | type |
| 1 | 2021xjkk0300 | 2021xjkk0300 | National Science and technology support program |
This work is licensed under a
Creative
Commons Attribution 4.0 International License.
CSTR:33110.11.XIEG.xjsedata.2022.00000062
10.12389/XIEG.XJSEDATA.2024.00100051