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。
Soil moisture is one of the most important indexes for drought prediction, agricultural production, crop layout and agricultural decision making.
土壤湿度是干旱预报、农业生产、作物布局和农业决策的重要指标之一。
By making use of the temporal correlation of the moisture changes, estimation and prediction might be achieved with satisfying accuracy.
利用湿度变化在时间上的相关性，吾人可预期土壤湿度的估计与预测是可以达到一相当的准确度。
Calculation of quantity of soil evaporation takes an important part in moisture content prediction, rainfall surface flow calculation and evaluation of water resources.
土壤蒸散发量的计算，在墒情预报、降雨径流计算及水资源评价中都占有重要的地位。
The prediction of soil moisture is significant to the research on agricultural production and water cycles.
土壤墒情预测预报对农业生产、水分循环的研究具有重要的意义。
On the whole, the prediction precision of PLSR model was better than PCR's for both sand content and moisture content predictions.
对于土壤含沙量的预测而言，认为在PLSR模型下，一阶微分处理的预测效果最好；
The research results have been applied in large area soil moisture content prediction and monitoring of soil water and salt.
成果已在大面积土壤墒情预测和水盐监测中应用。
So, models describing the moisture content of forest fuels are an integral component of most fire behavior prediction systems.
所以建立数学模型是研究森林可燃物含水率变化规律的核心问题，也是最常用的方法。
So, models describing the moisture content of forest fuels are an integral component of most fire behavior prediction systems.
所以建立数学模型是研究森林可燃物含水率变化规律的核心问题，也是最常用的方法。
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