Data content: atmospheric pressure data of Nukus irrigation area from January 2021 to December 2021, unit: PA. Data source and processing method: this data is collected from the automatic groundwater monitoring station in Nukus irrigation area. Data quality description: this data is site data with a time resolution of 3 hours. Data application achievements and prospects: in the context of climate change, it can be used to analyze the correlation between meteorological elements and groundwater characteristics, and can also be combined with other hydrometeorological data to analyze the temporal and spatial distribution and change characteristics of groundwater. At the same time, it can also be used as basic data for research in related fields such as extreme climate, food production reduction and human health.
LIU Tie
Data content: temperature data of Nukus irrigation area from January 2021 to December 2021, unit: 0.1 ℃. Data source and processing method: this data is collected from the automatic groundwater monitoring station in Nukus irrigation area. Data quality description: this data is site data with a time resolution of 3 hours. Data application achievements and prospects: in the context of climate change, it can be used to analyze the correlation between meteorological elements and groundwater characteristics, and can also be combined with other hydrometeorological data to analyze the temporal and spatial distribution and change characteristics of groundwater. At the same time, it can also be used as basic data for research in related fields such as extreme climate, food production reduction and human health.
LIU Tie
Data content: groundwater salinity data of Nukus irrigation area from January 2021 to December 2021, that is, the mass of soluble salts in unit volume of groundwater, unit: mg/l. Data source and processing method: this data is collected from the automatic groundwater monitoring station in Nukus irrigation area. Data quality description: this data is site data with a time resolution of 3 hours. Results and prospects of data application: it can further identify and study hydrogeological conditions, especially the recharge, runoff and discharge conditions of groundwater, master the dynamic law of groundwater, and provide scientific basis for groundwater resource evaluation, scientific management and research and prevention of environmental geological problems.
LIU Tie
Data content: groundwater temperature data of Nukus irrigation area from January 2021 to December 2021, unit: 0.1 ℃. Data source and processing method: this data is collected from the automatic groundwater monitoring station in Nukus irrigation area. Data quality description: this data is site data with a time resolution of 3 hours. Results and prospects of data application: combined with other meteorological and hydrological parameters, hydrogeological conditions, especially the recharge, runoff and discharge conditions of groundwater, can be further identified and studied to master the dynamic law of groundwater, so as to provide a scientific basis for the evaluation of groundwater resources, scientific management and the research and Prevention of environmental geological problems.
LIU Tie
Data content: groundwater depth data of Nukus irrigation area from January 2021 to December 2021, that is, the distance from the groundwater table to the surface, in M. Data source and processing method: this data is collected from the automatic groundwater monitoring station in Nukus irrigation area. Data quality description: this data is site data with a time resolution of 3 hours. Data application achievements and prospects: it can be used to statistically analyze the variation characteristics of groundwater depth with time and space in the irrigation area, and analyze the impact of climate change and human activities on groundwater level in combination with other hydrometeorological parameters. It can also be used to analyze the interaction process between surface water and groundwater.
LIU Tie
1) Data content: planting structure refers to the problem of planting proportion of crops in a region or country. Generally, grain crops are the main crop, supplemented by other economic crops. This data describes the spatial distribution of planting structure of irrigation area with 10m resolution. 2) Data sources and processing methods: sentinel data, random forest method. 3) Data quality description: kappa coefficient 80%. 4) Results and prospects of data application: basic data of various hydrological and ecological simulation analysis, fine calculation of agricultural evapotranspiration, agricultural water demand, infiltration and irrigation demand, and agricultural structure reaching the field level. In order to promote the healthy development of agricultural planting, it is particularly important to adjust and optimize various factors, and determine the role of each factor in the agricultural planting structure. 5) The planting structure is calculated on the GEE platform by using the random forest algorithm and the collected sample point data. In order to distinguish conveniently, in the calculation process, we use an Arabic number to represent each similar crop type. The calculated. TIF results are linked to the extracted cultivated land by the way of partition statistics. In this process, we use the words to represent the crop type The segment remains, i.e. the max field, and the crop category corresponding to each Arabic numeral is shown in the instruction document.
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