Lake water temperature is one of the most important parameters determining ecological conditions in lake water. With the recent development of satellite remote sensing, remotely sensed data instead of traditional sampling measurement can be used to retrieve the lake surface temperature. The East Lake located in the Wuhan city was selected as research region in this paper. The mono window algorithm has been applied to retrieve the lake water temperature of East lake basin with Landsat TM data. Through three groups of field survey data, the outcome shows that the retrieval results using the mono window model are quite approximate to the same period of the experimental region historical temperature data. So, it is feasible to utilize the remote sensing method to obtain the lake temperature. Meanwhile, the retrieval results also demonstrate that the East Lake surface temperatures from different years have the similar distribution regularity. Generally speaking, the temperature of the lake center is higher than the surrounding area. The west of lake is mostly higher than the east mainly due to the vegetation density and urbanization distribution condition. This conclusion is important to the further study on monitoring the East Lake temperature particularly in large scale.
The floods due to dam failure usually do great harm to human beings and social economy. The aim of this paper is to apply geographical information system (GIS) technology, and the loss estimation model to estimate the loss of the hypothetical dam break in Lushui reservoir basin. The general predictive loss evaluation scheme of dam-break flood is illustrated. The empirical formula method is used to determine the flood submerged region. The final loss assessment result is mapped out on GIS software. The result shows that the combination of GIS and loss estimation model can make the overall procedure for loss assessment efficient and effective, which could do favor to long-term basin flood control planning and disaster preparedness.