广西各地区土壤不同深度湿度差数据

研究10CM及20CM深度的土壤湿度差，可以揭示该层土壤湿度的垂直分布规律。这种湿度梯度对于理解土壤热传递过程、土壤水分蒸发、土壤微生物活动等具有重要意义。大多数作物的根系主要分布在土壤表层以下的一定深度范围内，研究该层土壤湿度差有助于了解作物根系活动层的湿度状况。通过调节土壤湿度，可以优化作物生长环境，提高作物产量和品质。另外可结合地理信息系统（GIS）技术，将广西各地区各地点的土壤地理数据和湿度差信息进行深度整合和分析，绘制位置-湿度差地图，以直观的可视化形式呈现给用户。1数据采集：每天中午12：00对广西各地区不同的地点，随机在方圆1米直径内选3个土壤点，3个土壤点各采集10CM及20CM深度土壤湿度数据；2数据处理：将数据去噪、优化、补全；3数据加工：通过将20CM深度土壤湿度与10CM深度土壤湿度数据进行相减，得出3个采样点的土壤湿度差，分别为RH1、RH2和RH3，则该地点的土壤湿度差平均值RH4=（RH1+RH2+RH3）/3；3数据应用：根据土壤湿度差平均值RH4有助于了解作物根系活动层的湿度状况。

Studying the soil moisture difference between 10 cm and 20 cm soil depths can reveal the vertical distribution pattern of soil moisture in this layer. This moisture gradient is of great significance for understanding soil heat transfer processes, soil water evaporation, soil microbial activities and other related aspects. Most crop roots are mainly distributed within a certain depth range below the soil surface, so studying the soil moisture difference in this layer helps to understand the moisture status of the crop root activity zone. By regulating soil moisture, the crop growth environment can be optimized, and crop yield and quality can be improved. In addition, combined with Geographic Information System (GIS) technology, in-depth integration and analysis can be conducted on soil geographic data and moisture difference information of various locations in Guangxi, and a location-moisture difference map can be drawn to present to users in an intuitive visual form.
1. Data Collection: At 12:00 noon every day, at different locations across Guangxi, 3 soil sampling points are randomly selected within a 1-meter diameter circle, and soil moisture data at 10 cm and 20 cm depths are collected from each of the 3 sampling points;
2. Data Processing: Denoise, optimize and impute the collected data;
3. Data Processing & Calculation: Subtract the soil moisture data at 10 cm depth from that at 20 cm depth to obtain the soil moisture differences of the 3 sampling points, denoted as RH1, RH2 and RH3 respectively. Then the average soil moisture difference of this location is RH4 = (RH1 + RH2 + RH3)/3;
3. Data Application: The average soil moisture difference RH4 is helpful for understanding the moisture status of the crop root activity zone.

搜集汇总

数据集介绍

特点

该数据集记录了广西各地区不同地点的土壤在10CM和20CM深度的湿度数据，并通过计算得出湿度差，每日更新，数据规模为7915条。数据主要用于研究土壤湿度的垂直分布规律，优化作物生长环境，提高作物产量和品质。