基于数据同化的灌区土壤盐渍化预测

This research focuses on the accurate soil salinization forecast in irrigated areas and aims to increase the forecasting accuracy by using data assimilation. It uses various methods,namely,remote sensing, field sampling, region water and soil monitoring, plot experiments, idea experiments and real-world experiments, to obtain accurate forecast by reducing observation errors, model errors and algorithm errors.Three main basic problems related to the application of data assimilation in regional soil salinization modeling are studied, namely,(1)Quantitatively retrieval and upscaling of soil salinity from remote sensing data,(2)Data assimilation based regional soil salinization forecasting model for the irrigation areas in North China (3)Optimal data assimilation algorithm and corresponding implementation scheme for soil salinization forecasting. A data assimilation based model, which is suitable for forecasting soil salinization in North China, is expected to be developed.It will provide a quantitative analysis tool to irrigation managers for combating soil salinization and optimizing water management.

本课题针对灌区土壤盐渍化精确预测问题，以内蒙古河套灌区为背景，以提高灌区土壤盐渍化预报精度为目标，从减少观测误差、模型误差和同化算法误差三方面入手，综合运用遥感、田间采样、区域水盐动态观测、小区试验、理想试验和真实系统试验等手段，开展数据同化在灌区土壤盐渍化精确预测中的应用基础研究。具体研究内容包括：（1）土壤含盐量的遥感定量反演和尺度转换，（2）适应我国北方特点和数据同化要求的土壤盐渍化预测模型，（3）适合灌区土壤盐渍化预测的数据同化算法和实施方案。该研究将发展适合我国北方土壤盐渍化特点、基于数据同化理论的灌区盐渍化预测数学模型和方法，为灌区盐渍化防治和科学水管理提供定量工具。

本课题针对灌区土壤盐渍化精确预测问题，以内蒙古河套灌区为背景，以提高灌区土壤盐渍化预报精度为目标，从减少观测误差、模型误差和同化算法误差三方面入手，综合运用遥感、田间采样、区域水盐动态观测、小区试验、理想试验和真实系统试验等手段，开展数据同化在灌区土壤盐渍化精确预测中的应用基础研究。具体研究内容包括：（1）土壤含盐量的遥感定量反演和尺度转换，（2）适应我国北方特点和数据同化要求的土壤盐渍化预测模型，（3）适合灌区土壤盐渍化预测的数据同化算法和实施方案。该研究将发展适合我国北方土壤盐渍化特点、基于数据同化理论的灌区盐渍化预测数学模型和方法，为灌区盐渍化防治和科学水管理提供定量工具。