一种面向不均匀站点分布的地下水干旱识别方法及装置

• Format: Patent
• Language: Chinese
• Published: 12.04.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

本申请提供了一种面向不均匀站点分布的地下水干旱识别方法及装置，涉及干旱管理与应对的技术领域，包括：获取目标研究区域的地下水监测站点历史监测信息和位置信息，并将目标研究区域网格化；基于机器学习算法和反距离插值法，重构目标研究区域各网格点地下水位序列；基于预设的标准化降水指数算法，结合移动平均法，确定目标研究区域各网格点标准化地下水位指数序列；基于游程理论，识别地下水干旱事件，并确定地下水干旱事件特征。该方法解决了当前基于不均匀地下水监测站点数据进行区域地下水位插值存在系统误差，地下水干旱识别准确性差等问题。 The invention provides an underground water drought identification method and device for uneven site distribution, and relates to the technical field of drought management and coping, and the method comprises the steps: obtaining the historical monitoring information and position information of an underground water monitoring site of a target research region, and carrying out the meshing of the target research region; based on a machine learning algorithm and an inverse distance interpolation method, reconstructing an underground water level sequence of each grid point in the target research area; based on a preset standardized rainfall index algorithm, in combination with a moving average method, determining a standardized underground water level index sequ