上海市各地区土壤不同深度温度差数据

研究上海市各地区10CM及20CM深度的土壤温度差，可以揭示该层土壤温度的垂直分布规律。这种温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，研究该层土壤温度差有助于了解作物根系活动层的温度状况。通过调节土壤温度，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，将各地点的土壤地理数据和温度差信息进行深度整合和分析，绘制位置-温度差地图，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对上海市不同地点随机在方圆1米直径内采集3个土壤点，3个土壤点各采集10CM及20CM深度土壤温度数据；2数据处理：将数据去噪、优化、补全；3数据加工：通过将20CM深度土壤温度与10CM深度土壤温度数据进行相减，得出3个采样点的土壤温度差，分别为T1、T2和T3，则该地点的土壤温度差平均值T4=（T1+T2+T3）/3；3数据应用：根据土壤温度差平均值T4有助于了解作物根系活动层的温度状况。

Studying the soil temperature differences at 10 cm and 20 cm depths across various regions of Shanghai can reveal the vertical distribution pattern of soil temperature in this layer. This temperature difference is of great significance for understanding soil heat transfer processes, soil water evaporation, soil microbial activities, and other related aspects. The root systems of most crops are mainly distributed within a certain depth range below the soil surface; thus, studying the soil temperature difference in this layer helps to understand the temperature conditions of the crop root activity zone. Regulating soil temperature can optimize the crop growth environment and improve crop yield and quality. Additionally, by combining Geographic Information System (GIS) technology, in-depth integration and analysis can be performed between soil geographic data and temperature difference information of each sampling location, and a location-temperature difference map can be drawn to present the results to users in an intuitive visual form.
1. Data Collection: At 12:00 noon every day, 3 soil sampling points are randomly selected within a 1-meter diameter circle at different locations in Shanghai, and soil temperature data at 10 cm and 20 cm depths are collected for each of the 3 sampling points.
2. Data Preprocessing: Denoise, optimize, and impute missing values for the collected datasets.
3. Data Calculation: Subtract the soil temperature data at 10 cm depth from that at 20 cm depth to obtain the soil temperature differences of the three sampling points, denoted as T1, T2 and T3 respectively. Then calculate the average soil temperature difference T4 for the location as T4 = (T1 + T2 + T3)/3.
4. Data Application: The average soil temperature difference T4 helps to understand the temperature conditions of the crop root activity zone.

搜集汇总

数据集介绍

特点

该数据集记录了上海市各地区土壤在10CM和20CM深度的温度差数据，共6298条，每日更新。数据用于研究土壤温度垂直分布规律，对作物生长环境优化和土壤热传递过程研究具有重要意义。