Downscaling of Groundwater Storage in the Yellow River Basin based on Random Forest

Mengran LIU; Yanping CAO; Shaokun WANG; Yingjun PANG

doi:10.11873/j.issn.1004-0323.2025.3.0671

Remote Sensing Technology and Application, Volume. 40, Issue 3, 671(2025)

Downscaling of Groundwater Storage in the Yellow River Basin based on Random Forest

Mengran LIU¹, Yanping CAO^2,3、*, Shaokun WANG², and Yingjun PANG⁴

Author Affiliations

¹College of Mathematics and Statistics， Henan University， Kaifeng475004， China

²Faculty of Geographical Science and Engineering， Henan University， Zhengzhou450046， China

³Key Laboratory of Geospatial Technology of the Middle and Lower Yellow River Region， Ministry of Education， Henan University， Kaifeng475004，China

⁴Institute of Ecological Conservation and Restoration， Chinese Academy of Forestry， Beijing100091， China

show less

Abstract Get PDF(in Chinese)

Figures & Tables(10)

Fig. 1. Location and elevation distribution map of Yellow River Basin

Download full size

View in Article

Fig. 2. VIP values of characteristic factor for typical months

Download full size

View in Article

Fig. 3. Time series of 0.25° GRACE monthly groundwater

Download full size

View in Article

Fig. 4. Box plot of difference between GRACE groundwater and simulating groundwater with downscaling groundwater

Download full size

View in Article

Fig. 5. Spatial distribution of 0.25°GRACE groundwater

Download full size

View in Article

Fig. 6. Correlation coefficients between measured groundwater， downscaling groundwater and GRACE groundwater， respectively

Download full size

View in Article

Fig. 7. Differences between the correlation coefficients between measured groundwater and those derived from downscaling techniques and GRACE-observed

Download full size

View in Article

Table 1. Table 1Data source and resolution

View table

View in Article

Table 1. Table 1Data source and resolution

数据	来源	空间分辨率/km
降水	国家青藏高原科学数据中心	1
气温	国家青藏高原科学数据中心	1
蒸散发	国家青藏高原科学数据中心	1
土壤湿度	国家青藏高原科学数据中心	1
地表温度	MOD11A2	1
归一化植被指数	MOD13A3	1

Table 2. Table 2Important parameters of random forest regression model

View table

View in Article

Table 2. Table 2Important parameters of random forest regression model

参数	参数调整方向及其意义
n_estimators	随机森林中树的个数，默认为100
min_samples_leaf	在叶节点处需要的最小样本数，默认为2（最高复杂度）；样本数越多，模型越简单
min_samples_split	拆分内部节点所需要的最少样本数，默认为1（最高复杂度）；样本数越多，模型越简单
max_depth	树的最大深度，默认为None（最复杂）；深度越低，模型越简单
random_state	随机种子，控制随机性

Table 3. Table 3Subsets of characteristic factors from January to December

View table

View in Article

Table 3. Table 3Subsets of characteristic factors from January to December

月份	特征因子集
1月	蒸散发、地表温度、降水、归一化植被指数、土壤湿度
2月	蒸散发、地表温度、土壤湿度、降水、归一化植被指数
3月	蒸散发、地表温度、降水、土壤湿度、归一化植被指数
4月	蒸散发、地表温度、气温、土壤湿度、降水
5月	蒸散发、地表温度、气温、归一化植被指数、土壤湿度
6月	地表温度、蒸散发、降水、气温、土壤湿度
7月	地表温度、蒸散发、土壤湿度、气温、降水
8月 9月 10月 11月 12月	蒸散发、地表温度、降水、气温、归一化植被指数蒸散发、地表温度、土壤湿度、降水、归一化植被指数蒸散发、地表温度、土壤湿度、归一化植被指数、降水蒸散发、地表温度、气温、降水、归一化植被指数蒸散发、地表温度、降水、土壤湿度、归一化植被指数

Tools

Get Citation

Copy Citation Text

Mengran LIU, Yanping CAO, Shaokun WANG, Yingjun PANG. Downscaling of Groundwater Storage in the Yellow River Basin based on Random Forest[J]. Remote Sensing Technology and Application, 2025, 40(3): 671

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites

Paper Information

Category:

Received: Feb. 16, 2024

Accepted: --

Published Online: Sep. 28, 2025

The Author Email: Yanping CAO (caoyp@henu.edu.cn)

DOI:10.11873/j.issn.1004-0323.2025.3.0671

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology