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To investigate the clinical characteristics, auxiliary examination and treatment of Wilson’s disease(WD). The clinical data of a child with WD were summarized and analyzed comprehensively in conjunction with the literature reference. WD is a hereditary disease with a large age span, diverse early symptoms, high misdiagnosis rate, abnormal liver function, decreased ceruloplasmin, increased urinary copper, K-F rings, ATP7B gene mutation, ATP7B gene mutations, and abnormalities in abdominal and cranial brain imaging, which can be clearly diagnosed and require lifelong treatment. WD can be diagnosed according to the clinical manifestations and auxiliary examination to reduce misdiagnosis. The timely diagnosis and treatment will improve the prognosis the quality of life.

The estimation and distribution of the vegetation biomass in submerged area of Angu Reservoir， Sichuan Province, based on CBERS data acquired in 2006 was researched. In order to select the optimum image characteristic data, correlative analysis were calculated among the biomass field sampling data, CBERS band 1-band 4 data and the NDVI data. The results show that field sampling data is best relative to band 4 data, and the correlation coefficients to aquatic vegetation and terrestrial vegetation were 0.703 and 0.678 respectively. Therefore, linear regression models were established between the field sampling data and band 4 data to estimate the total biomass of the Angu Reservoir area. The modeling results shows that the biomass of aquatic vegetation and terrestrial vegetation in the area were 1.15×10 8 kg and 0.99×10 8 kg respectively. And the biomass distribution map was drawn. The study shows that there are many advantages to apply CBERS image to biomass investigation over the traditional methods.