The results show that the drought remote sensing monitoring models and soil moisture prediction models can be widely used in practical works for drought monitoring, evaluation and prediction.
结果表明，本文建立的干旱遥感监测模型及墒情预报模型对于区域性的干旱监测具有较好的实用性，可广泛应用于干旱的监测、评估及墒情预报工作中。
Soil water balance models are especially important in the prediction of flood runoff, calculation of soil moisture content, design and management of irrigation and simulation of climate impact.
土壤水分平衡模型在洪水预测、土壤湿度计算、灌溉设计管理以及全球气候变化影响的仿真分析上十分重要。
It is proved by experiments that DPSEM together with ANNsmakes the fast on line prediction of active clay content and moisture of green sand feasible.
实验结果表明，双电源二次激励法与人工神经网络相结合，可以实现型砂有效粘土含量和含水量的快速在线预测。
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