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Objective:To explore the clinical effect of bench treadmill training on functional recovery for patients with severely burnt on lower limbs. Methods:From October, 2016 to December, 2017, 30 patients with severe lower limb burn were divided into control group (n = 15) and observation group (n = 15). The control group accepted routine comprehensive rehabilitation, while the observation group accepted the bench treadmill training in addition. They were assessed with the Self-Rating Anxiety Scale (SAS), Self-Rating Depression Scale (SDS), Numerical Rating scale (NRS) of pain, Berg Balance Scale (BBS) and 6-minute walking test (6MWT) before and after six weeks of treatement. Results:The scores of SAS, SDS and NRS decreased in both groups (t > 3.636, P < 0.01), and they were less in the observation group than in the control group (t > 2.319, P < 0.05). The score of BBS and distance of 6MWT increased in the observation group compared with those in the control group (t > 2.541, P < 0.05). Conclusion:Early training with bench treadmill may promote the functional recovery for patients with severe lower limbs burns.
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The secondary geological disasters triggered by the Lushan earthquake on April 20, 2013, such as landslides, collapses, debris flows, etc., had caused great casualties and losses. We monitored the number and spatial distribution of the secondary geological disasters in the earthquake-hit area from airborne remote sensing images, which covered areas about 3 100 km2. The results showed that Lushan County, Baoxing County and Tianquan County were most severely affected; there were 164, 126 and 71 secondary geological disasters in these regions. Moreover, we analyzed the relationship between the distribution of the secondary geological disasters, geological structure and intensity. The results indicate that there were 4 high-hazard zones in the monitored area, one focused within six kilometers from the epicenter, and others are distributed along the two main fault zones of the Longmen Mountain. More than 97% secondary geological disasters occurred in zones with a seismic intensity of VII to IX degrees, a slope between 25 A degrees and 50 A degrees, and an altitude of between 800 and 2 000 m. At last, preliminary suggestions were proposed for the rehabilitation and reconstruction planning of Lushan earthquake. According to the analysis result, airborne and space borne remote sensing can be used accurately and effectively in almost real-time to monitor and assess secondary geological disasters, providing a scientific basis and decision making support for government emergency command and post-disaster reconstruction.
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Environment and Disasters Monitoring Microsatellite Constellation with high spatial resolution, high temporal resolution and high spectral resolution characteristics was put forward by China. HJ-1B satellite, one of the first two small optical satellites, had a CCD camera and an infrared camera, which would provide an important new data source for snow monitoring. In the present paper, through analyzing the sensor and data characteristics of HJ-1B, we proposed a new infrared normalized difference snow index (INDSI) referring to the traditional normalized difference snow index (NDSI). The accuracy of these two automatic snow recognition methods was estimated based on a supervised classification method. The accuracy of the traditional NDSI method was 97.761 9% while that of the new INDSI method was 98.617 1%.
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After the occurrence of major natural disasters, it is of great significance that disaster states are assessed timely and accurately for decision-making departments to draw up effective response programs. Multi-spectral remote sensing has a great advantage and potential in disaster assessment, with the characteristics of a wide range of data acquisition, high speed, etc. In several major natural disaster assessments in China, multi-spectral remote sensing technology has played an important role. Firstly, the present paper takes earthquake disasters, floods disasters and drought disasters as examples to summarize the specific applications of major natural disaster assessment based on the multi-spectral remote sensing. Secondly, in these specific applications they suffer from both relative shortage of data sources and limited breadth and depth of application; both of these problems are analyzed. Finally, the future development direction of major natural disaster assessment based on the multi-spectral remote sensing, such as the expansion of multi-spectral remote sensing data acquisition means, the establishment of major natural disasters assessment index system based on remote sensing, and the improvement of the assessment technology system based on multi-spectral remote sensing are also discussed.
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This present paper presents a new inversion method of inland water based on spectral matching. First step of this method is using the known water surface measured hyperspectral and the absorption coefficient of each component, and obtaining backscattering coefficient of suspended matter with bio-optical model. The second step is calculation of the spectral reflectance of water bodies based on bio-optical model, through the cross-combination of inherent optical property of water components (chlorophyll, suspended matter, yellow substance), in order to create a look-up table of Rrs that corresponds to all combinations of water component. The third step is changing the look-up table data into MODIS spectral data using MODIS channel response function. The final study examined the applicability of the look-up table using the Hyperspectral and MODIS bands spectra, based on the minimum distance principle, to find the best matched spectra, thus it has found corresponding concentrations of three components. The average relative error of chlorophyll and suspended matter is 38.6% and 28% respectively. Optical properties of water components interfere with each other because of the complexity of inland water bodies, resulting in difficulty to extract the feature band for statistical model, and while it is hard for bio-optical model inversion method to solve the unstable problem of special inherent optical property with the seasons and regional issues, the method of this paper would have the advantages of bio-optical model, while eliminating instability of special inherent optical property, so it is a good approach to inland water retrieval.
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To retrieve chlorophyll a (Chla) concentration in Taihu Lake by three-band model, a field study was conducted on August 19, 2004 to collect water samples (N=38), which contained widely variable Chla (7.8-154.3 microg x L(-1)) and total suspended solids (65.0-190.2 mg x L(-1) dry wt), and the synchronous Hyperion images was also acquired as remote sensing data. After obtaining the approximate range of wavelengths for the three bands by analyzing the inherent optical properties of Taihu Lake, the three-band models were spectrally tuned to select the bands for most accurate Chla estimation. Finally Hyperion B34 (691.37 nm), B37 (721.90 nm) and B50 (854.18 nm) were selected to establish a three-band model. The results show that strong linear relationship is found between analytically measured Chla and the three-band model (r = 0.934), which accounts for 87.2% of variation in Chla and allows estimation of Chla with a root mean square error (RMSE) of 13.93 microg x L(-1), whereas the traditional two-band models accounts for lower accuracies of Chla estimation (spectral ratio, R2 = 0.844, RMSE = 15.41 microg x L(-1), and reflectance first-derivative, R2 = 0.831, RMSE = 16.00 microg x L(-1)). The findings prove that the three-band model is applicable for Chla retrieval in turbid, productive inland waters and by using Hyperion hyperspectral data.
