基于天地协同与深度学习的灌区地下水位模拟

陈文龙; 杨云丽; 张煜; 胡祖康

doi:10.11988/ckyyb.20220061

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raybet体育在线院报 ›› 2023, Vol. 40 ›› Issue (7) : 88-95. DOI: 10.11988/ckyyb.20220061

农业水利

基于天地协同与深度学习的灌区地下水位模拟

陈文龙¹, 杨云丽¹, 张煜², 胡祖康³

作者信息 +

Simulation of Groundwater Level in Irrigation Area Based on Sky-Earth Cooperation and Deep Learning

CHEN Wen-long¹, YANG Yun-li¹, ZHANG Yu², HU Zu-kang³

Author information +

文章历史 +

摘要

为了探究天地协同与深度学习的联合效果,利用灌区地面和遥感的天地协同序列观测数据,以降水、土壤湿度、地下水位历史观测量、哨兵-2遥感观测值作为地下水位的模拟因子,采用基于多层GRU网络的深度学习模型建立地面和遥感观测因子与地下水位的内在联系,进行灌区地下水位模拟的研究,并在南北方两处灌区研究区进行地下水位模拟试验和结果分析。试验结果表明,基于天地协同与深度学习的灌区地下水位模拟模型具有自行建立外界环境因素和灌区地下水位内在关系的能力,明显优于仅有地下水位观测值作为模拟因子的对比模型,具有较好的地下水位模拟效果,以及在不同地理环境下的模型适用性。该模型具有一定的应用潜力,能够为灌区的农作物种植和水资源管理提供决策信息支持。

Abstract

In this study, we aim to simulate the groundwater level in irrigation area by utilizing sequential observation data from ground-based and remote sensing platforms. A deep learning model based on a multi-layer GRU network was developed for this purpose. Precipitation, soil moisture, historical measurements of groundwater levels, and Sentinel-2 remote sensing observations were used as simulation factors. Furthermore, groundwater level simulation experiments and result analyses are conducted for two irrigation areas located in North and South China. The experimental findings reveal that the groundwater level simulation model, which incorporates the synergy between sky-earth observations and deep learning, effectively establishes the intrinsic relationship between external environmental factors and groundwater levels within the irrigation area. The model is apparently superior to comparative models that merely considers groundwater level as it demonstrates impressive simulation performance, exhibits applicability in diverse geographical environments, and holds promising potential for practical applications. It can provide valuable decision-making support for crop cultivation and water resources management in irrigation area.

导出引用

陈文龙, 杨云丽, 张煜, 胡祖康. 基于天地协同与深度学习的灌区地下水位模拟[J]. raybet体育在线院报. 2023, 40(7): 88-95 https://doi.org/10.11988/ckyyb.20220061

CHEN Wen-long, YANG Yun-li, ZHANG Yu, HU Zu-kang. Simulation of Groundwater Level in Irrigation Area Based on Sky-Earth Cooperation and Deep Learning[J]. Journal of Changjiang River Scientific Research Institute. 2023, 40(7): 88-95 https://doi.org/10.11988/ckyyb.20220061

中图分类号： P641 TP181

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