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| 1 | Using Fuzzy Relations and GIS Method to Evaluate Debris Flow Hazard显示文摘The study area,located in the southeast of Tibet along the Sichuan-Tibet highway,is a part of Palongzangbu River basin where mountain hazards take place frequently.On the ground of field surveying,historical data and previous research,a total of 31 debris flow gullies are identified in the study area and 5 factors are chosen as main parameters for evaluating the hazard of debris flows in this study.Spatial analyst functions of geographic information system (GIS) are utilized to produce debris flow inventory and parameter maps.All data are built into a spatial database for evaluating debris flow hazard.Integrated with GIS techniques,the fuzzy relation method is used to calculate the strength of relationship between debris flow inventory and parameters of the database.With this methodology,a hazard map of debris flows is produced.According to this map,6.6% of the study area is classified as very high hazard,7.3% as high hazard,8.4% as moderate hazard,32.1% as low hazard and 45.6% as very low hazard or non-hazard areas.After validating the results,this methodology is ultimately confirmed to be available. | SONG Shujun ZHANG Baolei FENG Wenlan ZHOU Wancun | 2006 | Wuhan University Journal of Natural Sciences2006，11，4： | 10 |
| 2 | Application of microwave vegetation index in drought monitoring显示文摘 | WANG Yongqian SHI Jiancheng LIU Zhihong FENG Wenlan QIU Yubao | 2014 | 遥感学报2014，18，4： | 4 |
| 3 | Assessment and Risk Zonation of Landslides in Panxi Area Based on 3S Technology显示文摘Based on field survey located by GPS, it is obtained landslides’ location and distribution information by the method of remote sensing in this paper. The vector data of environmental factors that breed and induce landslides such as the elevation,the slope, the vegetation cover,the lithology,the rainfall and so on are gained using GIS(geographical information system) techniques of spatial analysis. All the data obtained are managed through building landslide management system. At the same time,the system is made the platform to appraise the relationship between the distribution of landslides and the environmental factors. The results indicate: landslides take place relatively easily in the slope range between 10° and 25°; most landslides are in the mixed area of bush and grass with a coverage degree of from 20% to 65%; the distribution of landslides has a positive relationship with the distribution of annual rainfall. The risk degree of Panxi Area is zoned and mapped by the model of liner stack using GIS technique,and the result indicates: the place of high risk degree is the belt of Panzhihua-Miyi-Dechang-Mugu and southeast of Huili county and Huidong county,and area is about 512 707 hm 2 . | ZHANG Baolei SONG Shujun FENG Wenlan ZHOU Wancun | 2006 | Wuhan University Journal of Natural Sciences2006，11，4： | 3 |
| 4 | Physical statistical algorithm for precipitable water vapor inversion on land surface based on multi-source remotely sensed data显示文摘Water vapor plays a crucial role in atmospheric processes that act over a wide range of temporal and spatial scales, from global climate to micrometeorology. The determination of water vapor distribution in the atmosphere and its changing pattern is very important. Although atmospheric scientists have developed a variety of means to measure precipitable water vapor(PWV) using remote sensing data that have been widely used, there are some limitations in using one kind satellite measurements for PWV retrieval over land. In this paper, a new algorithm is proposed for retrieving PWV over land by combining different kinds of remote sensing data and it would work well under the cloud weather conditions. The PWV retrieval algorithm based on near infrared data is more suitable to clear sky conditions with high precision. The 23.5 GHz microwave remote sensing data is sensitive to water vapor and powerful in cloud-covered areas because of its longer wavelengths that permit viewing into and through the atmosphere. Therefore, the PWV retrieval results from near infrared data and the indices combined by microwave bands remote sensing data which are sensitive to water vapor will be regressed to generate the equation for PWV retrieval under cloud covered areas. The algorithm developed in this paper has the potential to detect PWV under all weather conditions and makes an excellent complement to PWV retrieved by near infrared data. Different types of surface exert different depolarization effects on surface emissions, which would increase the complexity of the algorithm. In this paper, MODIS surface classification data was used to consider this influence. Compared with the GPS results, the root mean square error of our algorithm is 8 mm for cloud covered area. Regional consistency was found between the results from MODIS and our algorithm. Our algorithm can yield reasonable results on the surfaces covered by cloud where MODIS cannot be used to retrieve PWV. | WANG YongQian SHI JianCheng WANG Hao FENG WenLan WANG YanJun | 2015 | Science China Earth Sciences2015，58，12： | 3 |
| 5 | New Nb-Ta Mineralization Age of the Dajishan W-Nb-Ta Deposit in Jiangxi Province,South China显示文摘Objective The Dajishan W-Ta-Nb deposit is located in the junction of southern Jiangxi and Guangdong Provinces(Fig. 1a). This deposit contains about 190, 000 tons of WO3 reserves,belonging to a super-large W deposit. Most W mineralization (mainly wolframite) at Dajishan occurred in quartz veins, with also some disseminated wolframite in the No. 69 granite. | LIU Feng CHE Xudong HU Huan ZHANG Wenlan LU Jianjun | 2019 | Acta Geologica Sinica(English Edition)2019，93，2： | 2 |
| 6 | Remote Sense and GIS-Based Division of Landslide Hazard Degree in Wanzhou District of the Three Gorges Reservoir Area显示文摘An evaluation model divided landslide hazard degrees in Wanzhou District of Three Gorges Reservoir Area. The model was established by GIS techniques and took land use/cover, stratum characters, slope aspect, slope gradient, elevation difference and slope shape as evaluation factors. The data of land use/cover were obtained by remote sensing, and the weights of the factors mentioned above were established by the analytic hierarchy process (AHP). The results indicate, low danger areas in the studied area account for 66.51%, and high danger areas and very high danger areas occupy 1/3 of the total area. The regions of high and very high danger are mainly located around the urban area of Wanzhou District and on the banks of the Yangtze River with a relatively large area , where collapse and landslide directly threats densely populated areas and Three Gorges Reservoir. Slope destabilization, if occurs, will bring huge loss to social economy. All research results are consistent with the actual conditions; therefore, they can be regarded as a useful basis for planning and constructing of the reservoir area. | ZHOU Qigang FENG Wenlan SONG Shujun YUAN Lifeng ZHOU Wancun | 2006 | Wuhan University Journal of Natural Sciences2006，11，4： | 1 |
| 7 | Error Sensitivity Analysis in 10–30-Day Extended Range Forecasting by Using a Nonlinear Cross-Prediction Error Model显示文摘Extended range forecasting of 10–30 days, which lies between medium-term and climate prediction in terms of timescale, plays a significant role in decision-making processes for the prevention and mitigation of disastrous meteorological events. The sensitivity of initial error, model parameter error, and random error in a nonlinear crossprediction error(NCPE) model, and their stability in the prediction validity period in 10–30-day extended range forecasting, are analyzed quantitatively. The associated sensitivity of precipitable water, temperature, and geopotential height during cases of heavy rain and hurricane is also discussed. The results are summarized as follows. First, the initial error and random error interact. When the ratio of random error to initial error is small(10^(–6)–10^(–2)), minor variation in random error cannot significantly change the dynamic features of a chaotic system, and therefore random error has minimal effect on the prediction. When the ratio is in the range of 10^(–1)–2(i.e., random error dominates), attention should be paid to the random error instead of only the initial error. When the ratio is around 10^(–2)–10^(–1), both influences must be considered. Their mutual effects may bring considerable uncertainty to extended range forecasting, and de-noising is therefore necessary. Second, in terms of model parameter error, the embedding dimension m should be determined by the factual nonlinear time series. The dynamic features of a chaotic system cannot be depicted because of the incomplete structure of the attractor when m is small. When m is large, prediction indicators can vanish because of the scarcity of phase points in phase space. A method for overcoming the cut-off effect(m > 4) is proposed. Third, for heavy rains, precipitable water is more sensitive to the prediction validity period than temperature or geopotential height; however, for hurricanes, geopotential height is most sensitive, followed by precipitable water. | zhiye xia lisheng xu hongbin chen yongqian wang jinbao liu wenlan feng | 2017 | Journal of Meteorological Research2017，31，3： | 1 |
| 8 | Integrated Evaluation Model for Eco-Environmental Quality in Mountainous Region Based on Remote Sensing and GIS显示文摘Based on Remote Sensing (RS), Geographic Information System (GIS), and combining Principal Component Analysis, this paper designed a numerical integrated evaluation model for mountain eco-environment on the base of grid scale. Using this model, we evaluated the mountain eco-environmental quality in a case study area—the upper reaches of Minjiang River, and achieved a good result, which accorded well with the real condition. The study indicates that, the integrated evaluation model is suitable for multi-layer spatial factor computation, effectively lowing man’s subjective influence in the evaluation process; treating the whole river basin as a system, the model shows full respect to the circulation of material and energy, synthetically embodies the determining impact of such natural condition as water-heat and landform, as well as human interference in natural eco-system; the evaluation result not only clearly presents mountainous vertical distribution features of input factors, but also provides a scientific and reliable thought for quantitatively evaluating mountain eco-environment. | LI Ainong WANG Angsheng HE Xiaorong FENG Wenlan ZHOU Wancun | 2006 | Wuhan University Journal of Natural Sciences2006，11，4： | 1 |
| 9 | GIS-Based Spatial Analysis and Modeling for Landslide Hazard Assessment:A Case Study in Upper Minjiang River Basin显示文摘By analyzing the topographic features of past landslides since 1980s and the main land-cover types (including change information) in landslide-prone area, modeled spatial distribution of landslide hazard in upper Minjiang River Basin was studied based on spatial analysis of GIS in this paper. Results of GIS analysis showed that landslide occurrence in this region closely related to topographic feature. Most areas with high hazard probability were deep-sheared gorge. Most of them in investigation occurred assembly in areas with elevation lower than 3 000 m, due to fragile topographic conditions and intensive human disturbances. Land-cover type, including its change information, was likely an important environmental factor to trigger landslide. Destroy of vegetation driven by increase of population and its demands augmented the probability of landslide in steep slope. | FENG Wenlan ZHOU Qigang ZHANG Baolei ZHOU Wancun LI Ainong ZHANG Haizhen XIAN Wei | 2006 | Wuhan University Journal of Natural Sciences2006，11，4： | 0 |
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