将海冰作为淡水资源开发利用是渤海海冰研究的一个新方向，其主要目的是为解决环渤海地区淡水资源严重短缺问题寻找新途径。在国家相关部委的支持下，近年来，海冰资源利用研究在海冰开发与区域可持续发展、海冰脱盐淡化方法、海冰资源量遥感估算等方面取得了许多新进展，海冰淡化已从一个科学设想正在逐渐转变为应用现实。海冰资源量测算是渤海海冰资源开发利用研究的基础工作之一，是科学把握渤海海冰的数量、质量及其时空分布特点的主要手段之一，是合理地制定海冰资源开发利用计划与方案的重要参考。本文以渤海海冰冰厚的遥感估算模型为主线，研究了渤海海冰面积信息提取和海冰厚度估算的问题，建立了渤海海冰资源量时间序列，在此基础上详细分析了渤海海冰资源量的时空分布特征，最后，以遥感估算模型计算出来的渤海海冰资源量定量数据为基础，研究了其与现有的渤海海冰冰情等级（定性数据）的关系，并简单探讨了遥感估算海冰资源量与区域气候变化的关系。海冰面积信息提取。在简要介绍渤海概况和海冰相关信息后，讨论了渤海分区面积提取的原理，针对泥沙悬浮区的特征，把渤海划分为5个分区，利用不同分区阈值和人工干预的方法提取了渤海海冰面积信息。针对NOAA低分辨率遥感影像，进行了简单的面积误差分析后，建立了渤海海冰面积时间序列。在渤海海冰面积时间序列分析中，简单探讨了1999-2000年（常冰年）海冰面积异常偏小的原因。海冰厚度估算。在海冰课题小组前期研究的基础上，本文采用基于太阳短波辐射吸收理论的海冰冰厚遥感反演模型进行渤海海冰冰厚的估算。首先确定了渤海海冰冰厚反演模型的研究对象为裸冰（无积雪覆盖），然后分析了反照率的界定，在渤海分区的基础上确定了不同分区的海冰反照率衰减系数，最后利用遥感反演模型估算出渤海的海冰厚度分布。在冰厚误差分析的基础上，建立了1987-2009年的渤海海冰资源量时间序列。海冰资源量时空分布。以遥感反演模型估算出的1987-2009年的渤海海冰资源量时间序列为基础，首先分析了渤海海冰资源量的时间变化特征，即年内变化和年际变化特征。对于海冰资源量的空间分布研究，首先分析了不同海区的海冰资源量分布，然后分析了不同海区两岸的海冰资源量分布概况，最后针对海冰资源化利用的工程开采问题，以离岸10km、20km、30km和40km为界限进行了不同离岸距离的海冰资源量的分析。海冰资源量与气候变化。数据分析表明，渤海的海冰资源量与冰情等级并不是严格意义上的一一对应关系，但二者具有一致性：即冰情较重的时候，海冰资源量较大，而冰情较轻的时候，海冰资源量较少；海冰资源量与平均温度和负积温没有显著的负相关关系，但是海冰资源量与寒潮的相关关系相对较好，这说明寒潮对于海冰资源量的增减具有较大的影响；厄尔尼诺年的海冰资源量数值都较大，但是厄尔尼诺现象和渤海海冰资源量没有必然的联系，即不存在显著的相关性；海冰资源的开采可能对区域气候造成一定影响，但是从目前的模拟结果来看，这种影响是微小的。

The development and utilization of the sea ice as fresh water resources in Bohai Sea is a new direction for research. And its main purpose is to find a new way to resolve a serious shortage of fresh water resources in the Bohai Sea region. In recent years, with supports of relevant ministries, the utilization of the sea ice resources has made progress in many aspects, such as the sea-ice development and regional sustainable development, the desalination methods of sea ice, the estimates of the sea ice resources quantity by remote sensing. The sea ice desalination has been gradually transformed into reality from a scientific idea. The estimates of the sea ice resources quantity is a basic work of the development and utilization of the sea ice resources. It is main methods to grasp the sea ice quantity, quality and its spatial and temporal distribution characteristics in Bohai Sea. It is an important reference to the reasonable development and utilization of the sea ice resources. In this paper, the sea ice thickness remote sensing model is the main line to study the extraction of the sea ice area and the estimates of the sea ice thickness. Based on the establishment of the sea ice resources quantity (SIRQ) time series in Bohai Sea, this paper gives a detailed analysis of the spatial and temporal distribution characteristics of the SIRQ. This paper studies the relationship between SIRQ and the sea ice severity degree (qualitative data). Finally, this paper gives a simple discussion of the relationship between SIRQ and regional climate change. The extraction of sea ice area. After brief introduction of the Bohai Sea and the sea ice information, this paper discusses the partition principle of sea ice area extraction. Then based on the characteristics of the district of suspended sediment in the Bohai Sea, the Bohai Sea is divided into five divisions, and different partition threshold and human intervention methods are used to extract the sea ice area in the Bohai Sea. In view of the low resolution of the NOAA images, this paper gives a simple error analysis of the sea ice area, and the sea ice area time series in Bohai Sea are established. Based on the time series analysis of the sea ice area, this paper gives an explanation of the causes of abnormal small sea ice area in the winter of 1999-2000.Estimate sea ice thickness. Based on the preliminary studies of the sea ice research group and the theory of the solar short-wave radiation absorption, the sea ice thickness inversion model of remote sensing is used to estimate the sea ice thickness in the Bohai Sea. First, this paper determines that the sea ice thickness inversion model is for the bare ice (without snow cover), and then analyzes the definition of albedo and the attenuation coefficient of sea ice albedo in different divisions. Finally, the distribution of sea ice thickness in the Bohai Sea is estimated by the remote sensing inversion model. After the error analysis of the sea ice thickness, this paper comes up with a SIRQ time series from 1987 to 2009.Space-time distribution of the SIRQ. Based on the SIRQ in the Bohai Sea in 1987-2009, the temporal characteristics including the changes during one year and inter-annual variation are analyzed. There are two parts for the spatial characteristics of the SIRQ in the Bohai Sea. One part is the SIRQ distribution in different divisions and on both sides of the divisions. The other part is the SIRQ distribution in different distance (10km, 20km, 30km and 40km) from the coast which is meaningful to the SIRQ exploitation projects.SIRQ and climate change. Data analysis showed that the SIRQ in the Bohai Sea and the sea ice severity degree (SISD) are not strict in correspondence. But they are consistent in some aspects: the SIRQ is large when the SISD is severe. The SIRQ and the temperature (average temperature and negative accumulated temperature ) has no significant negative correlation, but there is a relative better negative correlation between SIRQ and the cold wave, which indicates that the cold wave has a greater influence on the SIRQ. El Nino and the SIRQ are not necessarily linked though the SIRQ is large in the year of El Nino. The exploitation of sea ice resources may have certain effects on regional climate, but the simulation results from the current models shows that the impact is small.