Building a scientific and rational spatial pattern of urban system is very important for promoting new-type urbanization and balancing development between regions. Therefore, this research deeply analyzed the evolvement of urban scale structure, urban Hierarchical Structure and Urban System in Economic Belt of Yangtze River (EBYR) by Kernel density analysis, fractal theory, and modified gravity model etc., based on the urban influence index and road network data of this region in 1988, 2001, and 2012. The results show that: the urban scale in EBYR has changed significantly, from single low-level club to medium and high level of multiple clubs, and appears multimodal “club convergence” phenomenon of main urban scale. Rank hierarchy of distribution pattern tends to be completed. Urban scale structure is gradually formed into a typical multi-core-periphery pattern. Urban scale system overall presents the features of primary first-place type, while its rationalization trend is evident. The difference of urban gravitational intensity continues shrinking, while regional differences are significant and the cities with lower level of gravity locate in the central and western regions. The urban systems of Yangtze Delta, Middle Delta and Great Southwest are gradually formed in this region, however the organization of urban system in Middle Delta was relatively loose. Eventually, this research discussed the spatial evolution mechanism of the urban system in EBYR from four different aspects: factor, mechanism, feature and target.

In this research, some core cities in the Yangtze RiverEconomic Beltwereselected as the case study, such as  Wuhan, Shanghai and Chongqing. Firstly, the PSR model was  used to build up the framework ofthe index systemof ecologicalsecurity evaluation with the characteristics of the area in the Yangtze RiverEconomic Belt., which consisted of  target, criterion and indexlayers, including totally31 indicators. Then the principal componentanalysis method was adopted to determine  the weight of the index, so as to reduce the influence among the indexes and makethe weights of the indicators moreobjective.Finally, the gray clustering model based on the whitening weight function wasconstructed to assess ecological securitystatus of the three cities from 2004 to 2015.The results show that the level of ecological security the three citieshas been increasedfrom 2004 to 2015, and the ecological security status has been improved.

Taking port cargo throughput and container throughput as the research subjects, this paper uses the primacy index, rank-size law and kernel density to examine the port scale distribution in theYangtze River Delta.Some results are obtained as follows. (1) The port scale distribution in the Yangtze River Delta changes from primary distribution to rank-size distribution. The grade distributions of freight transport and container transport are inherently consistent, but there are some differences in evolution trend and period. Yangtze River Delta hub evolves from a single core hub to dual-core hubs, and the triple hub ports maybe formed in the future. (2)Yangtze River Delta port scale distribution is gradually optimized, and its hierarchical structure tends to be reasonable.The port system basically satisfies the rank-size distribution, but has not reached the ideal situation.(3)Kernel density curves of cargo throughput and container throughput change from multi peak into double structure and single structure respectively. This means both freight transport and container transport are moving in a coordinated direction.

Based on the provincial panel data of Yangtze River Economic Belt from 2003 to 2014, this paper discusses the influence of different types of environmental regulations on international R&D spillover effect. Through the objective weighting of entropy method, building three kinds of environmental regulation indices, such as order-driven, market-driven and voluntary-driven, furtherinvestigated the influence of different types of environmental regulations on international R&D spillovers, the study shows that: (1) The environmental regulation has a “Anti-N” curve relation to the international R&D spill level. Although the types are different, showing a tendency that the international R&D spillover effect decreases first, then rises and then decreases with the increasing intensity of environmental regulation.(2) Different types of environmental regulation are heterogeneous to the international R&D spillovers. The order-driven and market-driven environmental regulation play major roles in the Yangtze River economic belt currently, and the incentive effect of voluntary participatory environmental regulation on the international R&D spillover effect has not beenfully present yet. The conclusions of this paper confirms that the “Porter hypothesis” is also established under open conditionsin someextent. Finally, according to the above-mentionedconclusions, we put forward some corresponding policy recommendations.

Resources and environment are two important factors that restrict the development of a city, and regional resources and environment efficiency is one of the key indicators that reflects the comprehensive development level of a region. Therefore, analyzing the spatial-temporal pattern of regional resources and environment efficiency as well as its formation mechanism is not only helpful to understand the regional input-output process and benefit, but also provide reference for the relevant departments to formulate regional development planning and alleviate the contradiction between the local people and the land. This article analyzes spatial-temporal differentiation characteristics of resources and environment efficiency of cities in central China from 2005 to 2014 by using SBM-DEA model, and then discusses the underlying formation mechanism. The results indicate that: (1) the resources and environment efficiency in central China has shown a steady upward trend. (2) The resources and environment efficiency in capital cities along with the important node cities that closed to the Yangtze River and Beijing-Guangzhou axis is higher, while it is lower in the rest cities. (3) From the perspective of the coupling between input-output and resources and environment efficiency, about 75% cities in central China are in type Ⅰ, seldom cities are in type Ⅱ, and very few cities are in type Ⅲ～ⅩⅢ. In the past decade, the central China is commonly in the low-input, low-output and low-pollution development stage. The number of cities with higher resources and environment efficiency decreased first and then increase, the number of medium-efficient cities increases first and then stabilizes. The number of cities with lower resources and environment efficiency is in a decreasing trend. (4) Regional economic development level is playing a dominant role in promoting local resource and environmental efficiency, while energy consumption is an important factor that restrict the resource and environmental efficiency.

The evaluation of urbanization quality plays an important role in guiding China’s urbanization construction. This paper takes Jiangsu province as the case and provincial cities as the evaluation units, then constructs a comprehensive evaluation system for Jiangsu’s urbanization quality in two aspects which are developing level and developing efficiency. Based on the data of 13 provincial cities including 2000, 2005, 2010, 2015, this paper adopts entropy method to calculate the indicators’ weights, and uses comprehensive evaluation method to measure the urbanization quality and their subsystems, then analyses the spatio-temporal difference of the evaluation results, finally provides classified guidelines for the cities according to the weaknesses of their urbanization development. Results show that the developing quality, the developing level and the developing efficiency of Jiangsu’s urbanization increase a lot in the last 16 years, while the regional difference is also obvious and the incoordinate problems are extending. Factors that lead the development of economic and social urbanization are the primary driving factors which affect the urbanization developing level, and the factors that lead the development of urban-rural integration are the primary driving factors which affect the urbanization developing efficiency. Therefore, each city has their own “short board” in development process, figuring out their primary difficulty is necessary.

Offshore wind power is an important resource in China’s thirteenth five-year plan of renewable energy development. Compared with near-shore wind farms, offshore wind farms have more complicated wind conditions, higher construction costs and lower risk bearing capacity. It is necessary to carry out long term wind energy resource assessment, which can provide offshore wind farms’ feasibility study and risk assessment. The NCEP (National Centers for Environmental Prediction)’s CFSR (Climate Forecast System Reanalysis) data have advantages of global coverage, high resolution and large marine data sources. In this study, the NCEP and CFSR data were applied to access the long term wind energy resource of the Xiangshui offshore wind farm in Jiangsu province. The results showed: (1) the mean deviation and root-mean-square-error of the comparisons between CFSR and CFSR 10m height wind speed were -0.2 m·s-1 and 1.9 m·s-1, respectively.(2) The correlation coefficients between CFSR data’s 10m height wind speed and the offshore mast data’s 90 m height wind speed were 0.359-0.619, which were improved by 40%~90% compared to the meteorological station’s correlation coefficients. CFSR data could improve the long term correction method’s accuracy and correction result’s reliability. (3) The recent 30-year wind data of the offshore mast’s 90 m height were obtained by application of CFSR data to long term correction, with the multi-annual mean wind speed of 6.9  m·s-1 and the standard deviation of 0.2  m·s-1 (2.9%). (4) The recent 30-years equivalent full load hours of the offshore wind farm were calculated by the wind energy resource assessment software WAsP, with the multi-year mean value of 2 423 h and the standard deviation of 112 h (4.6%). (5) By the evaluation by the normal distribution model, the minimum yearly mean wind speeds in the 25 (the lifetime of offshore wind farms), 10 and 5 years period were 6.6, 6.7, and 6.8 m·s-1, respectively; and the minimum equivalent full load hours were 2 227, 2 280, and 2 329 h, respectively. In conclusion, it is reasonable that applying the CFSR data on the offshore wind farms’ long term wind energy resource assessment.

Offshore wind power is an important resource in China’s thirteenth fiveyear plan of renewable energy development. Compared with nearshore wind farms, offshore wind farms have more complicated wind conditions, higher construction costs and lower risk bearing capacity. It is necessary to carry out long term wind energy resource assessment, which can provide offshore wind farms’ feasibility study and risk assessment. The NCEP (National Centers for Environmental Prediction)’s CFSR (Climate Forecast System Reanalysis) data have advantages of global coverage, high resolution and large marine data sources. In this study, the NCEP and CFSR data were applied to access the long term wind energy resource of the Xiangshui offshore wind farm in Jiangsu province. The results showed: (1) the mean deviation and rootmeansquareerror of the comparisons between CFSR and CFSR 10m height wind speed were -0.2 m·s^-1 and 1.9 m·s^-1, respectively.(2) The correlation coefficients between CFSR data’s 10m height wind speed and the offshore mast data’s 90 m height wind speed were 0.359-0.619, which were improved by 40%~90% compared to the meteorological station’s correlation coefficients. CFSR data could improve the long term correction method’s accuracy and correction result’s reliability. (3) The recent 30year wind data of the offshore mast’s 90 m height were obtained by application of CFSR data to long term correction, with the multiannual mean wind speed of 6.9 m·s^-1and the standard deviation of 0.2 m·s^-1 (2.9%). (4) The recent 30years equivalent full load hours of the offshore wind farm were calculated by the wind energy resource assessment software WAsP, with the multiyear mean value of 2 423 h and the standard deviation of 112 h (4.6%). (5) By the evaluation by the normal distribution model, the minimum yearly mean wind speeds in the 25 (the lifetime of offshore wind farms), 10 and 5 years period were 6.6, 6.7, and 6..8m·s^-1, respectively; and the minimum equivalent full load hours were 2 227, 2 280, and 2 329 h, respectively. In conclusion, it is reasonable that applying the CFSR data on the offshore wind farms’ long term wind energy resource assessment. 

The atmospheric particulate matter is the main pollutant in the atmosphere at present. Aerosol optical depth data and satellite remote sensing retrieval products can make up the surface observation stations’ inadequate space coverage. In this study, we analyze the 2013 aerosol optical depth product of Terra and Aqua MODIS sensor of the16 cities in Yangtze River Delta, correct the vertical and humidity deviations, and convert those data to ground layer’s aerosol extinction coefficient which can reflect region’s air pollution. Through the geographical detector’s method, we quantify the main risk factors of air pollution and the impact strength of each factor in the Yangtze River Delta. These risk factors include GDP, population, gradient, land cover types, annual average temperature, annual average precipitation and annual average wind speed. The result shows that: the air pollutions of the studied area were lower in the north and higher in the south. The meteorological factors significantly affected the spatial distribution of air pollutions, and the effect of precipitation is the highest one, each risk factor exhibited a clearly interactive influence on the spatial distribution of air pollutions.

The improvement of urban meteorological disaster prevention measures is an effective mean to prevent and alleviate the disaster. However, how to build a multi-cost-sharing disaster prevention system on the basis of identifying public’s willingness to pay is the key to solve the problem. Taking Nanjing rainstorm disaster as an example, this paper analyzes the public’s willingness to pay for urban meteorological disasters prevention and the important role of cognitive resources in it from the perspective of cost sharing. The importance of cognitive resources and economic resources in public payment decision is discussed based on the recursive mixed-process models consisted of probit model and ordered probit model. The research shows that the importance of cognitive resources is obvious, and the risk perception about rainstorm disaster, cognition degree about defensive measure, and reliability of preventative system have expedited public’s willingness to pay. The risk perception of rainstorm disaster is affected by the cognition and experience of disaster trend, which influence the breadth and depth of risk perception respectively, while the influence of education level on risk perception is not significant. To meet the public demand for urban storm disaster risk, defensive measures and disaster trends, it is better for government to strengthen the initiative of popularizing rainstorm disaster, enhance the credibility of supervisors and coordination departments, standardize the popular science content and broaden the popular channels.

The purpose of this paper is to simulate the trend of resources and environment carrying capacity in a variety etting of Wuhan city in order to provide reference for the future development under the background of land urbanization. We created the system dynamic model of land urbanization resource environment carrying capacity by using the Vensim software. The results of the study showed that coordinated development is the most suitable type for Wuhan city, and another three types, for example, status quo continuation type, performance driven type and eco-environment type will led to the resource and environment carrying capacity of Wuhan city face overloading in 2020. Therefore, Wuhan should accelerate the land urbanization while increasing the cultivated land area, strengthen the infrastructure construction, reduce the resources depletion and pollution emission, ensure the stable operation of the resources and environment carrying system.

Extent of inundation is a key factor in flood damage assessment. In the previous research on flood damage assessment, flooded regions were often assigned weight coefficients corresponding to the submerged acreage, which actually implied that equal weighting of flooded acreage factor was used in flood damage assessment. However, extent of inundation usually changed during a flood event.For example, one spot may be submerged at the beginning of flooding and then may become non-flooded soon afterwards, while other areas may be submerged for the whole period of a flooding event. Therefore, these areas should be assigned time-weighted inundated acreage to take into account of their differences in inundation duration. Based on this fact, Variation Index of Flood (VIF) and Comparison Index of Flood Disaster (CIFD) were proposed to monitor the spatio-temporal characteristics of 2016 summer flood in the Poyang Lake regions. In order to acquire the actual acreage factor, the extent of inundation from 23rd to June 25th of July was mapped using GPS-based field investigation and remote sensing data before and after the flooding, including multi-temporal Landsat 8 OLI, GF-1 WFV and Google earth imagery. To resolve the difficulty in remote sensing distinction between water body and the flooded area, image fusion was applied to integrate information from Normalized Difference Vegetation Index, Modified Normalized Difference Water Index (MNDWI) of the Landsat 8 OLI in the early stage of the flood event and Normalized Difference Water Index (NDVI) in the latter stage. By doing so, the color differences between water body and the flooded area in the satellite images can be enlarged to have an effective discrimination of these areas. This study revealed that: 1) A total area of 33 329.28 hm2 was covered by flood excluding the original extent of the water in the study area. And 81% of flooded land area occurred in counties of Poyang, Yongxiu, Yugan, Duchang, Xinjian, Xingzi and Jinxian,located in the lake region; 2) VIF tnder decreased from 3.75 in early stage to 1.29 in later stage, implying that the flood damage diminish quickly during that flood event;3) The most severe flood damage was in Poyang County with the CIFD index of 1.954, the largest among all other counties;4) Although the proposed method needs further testing, our investigation demonstrated the feasibility and the usefulness of the combined use of VIF and CIFD models and the image fusion processing technique to integrate NDVI, NDWI and MNDWI at the differentflooding stages in the flood damage assessment procedure.

Making a study on the mountain agricultural transformation plays a guidance role in the sustainable utilization of cultivated land, and it is also important for the improvement of land consolidation and ecological construction in China. The ecological conservation area in Northeast is the main partition of agricultural land consolidation project in Chongqing City. By defining the concept of "scale farmland", this paper aims to propose a new research path to put forward a new research approach to guide and improve the utilization of cultivated land in typical mountainous areas of Chongqing. In this paper, five districts and counties of the Three Gorges Reservoir areas were selected as the study area, combined with the actual research area to classify the scale farmland. By using ArcGIS10.2 software and other landscape pattern index, kernel density estimation and spatial autocorrelation method to discuss the spatial distribution of "scale farmland" from three aspects: patch characteristics, quantity distribution and spatial pattern. The results showed that: (1)The characteristics of different types of scale farmland patches showed a certain regularity, The patch density of small-scale farmland was the largest 6.004, and the value of MNN of large-scale farmland was the lowest 643.401, and the larger the farmland scale, the higher the weighted average patch fractal dimension (AWMPFD) value and the aggregation (AI)  value;(2) The number of large and medium scale farmland were concentrated in Fengjie County, and the micro scale and small scale farmland were mostly concentrated in Wushan County, and the scale farmland itself existed a fixed adjacency law. The adjacency between the same kind of pathches were inversely proportional to the patch size,while the adjacency Law of different types of pathes were opposite;(3) The spatial distribution of scale farmland in the study area mainly concentrated in the middle of Fengjie county and the eastern part of Wuxi County, but the river valley Pingba area was relatively dense, and the different types of scale farmland had obvious self-correlation in space.

This study analyzes the past 55 years (1960-2014) decadal tidal characteristics of the four tidal stations of the Ou-jiang estuary, and explores the affecting factors and the possible reasons that caused those variations. The results show the tidal characteristics of Longwan tidal station had no obvious changes in the period. Wenzhou, Meiao and Huayantou station were presented similar tidal characteristics, which includes the rising high tide levels, declining low tide levels, increasing tidal ranges, extending flood time and shorting ebb time. It seems the basin runoff changes didn’t effect on those estuarine tidal characteristics. The main reasons that caused regional tide variations were human activities such as embankment constructing and cultivation in former water areas. The tidal changes at Wenzhou, Meiao and Huayantou station were most due to the intensive river sand exploitations. So the Ou-jiang estuary project design and water managements should be considered sections separately.

Local precipitation laws were difficult to simulate due to the poor adaptability of current precipitation data quality control methods. Based on the observed summer precipitation data from 35 meteorological stations covering 1985-2014 in Hunan province, a method for detecting spatial outliers of precipitation was developed by combination of Delaunay triangulation and geography weighted regression.In this method, the stable and reasonable geographical proximity relationships between each region was obtained by constructing irregular triangulation, and the adaptive regression bandwidth was obtained according to spatial proximity relationships. Spatial outliers of precipitation were then detected and analyzed according to the statistical distribution characteristics of regression residual, which was calculated by geographically weighted regression method. The results showed that the method could be used to detect spatial outliers of precipitation accurately and effectively. It indicated that the method were meaningful for the secondary treatment of precipitation information and the further exploration of local precipitation laws.

The macrozoobenthic community structures of the mainstream of Huai Rirer were investigated in March, June, September, and December 2011. A total of 94 macrozoobenthic species from 41 families were recorded. Results showed that there was a significant temporal variation in the macrozoobenthic density（p = 0.002). The maximum mean population density（332.5 ind./m2) occurred in June while the minimum population density（96.6 ind./m2) appeared in September. And yet, the temporal variation trend of biomass was not consistent with that of population densities. The maximum mean biomass（155.8 g/m2) occurred in September while the minimum biomass（40.0 g/m2) appeared in March, and there were no obvious differences among seasons. The redundancy analysis（RDA) results showed that the dissolved oxygen, salinity, total dissolved solids, temperature, and sediment types were the main environmental factors that affect the macrozoobenthic community structure. The temporal variation of Shannon-Wiener diversity index was not significant, but the Margalef richness index was showed significant seasonal variations（p = 0.000). Even so, the variation trends of the two indices were highly consistent from the upstream to the downstream. Overall, the water quality of the mainstream of Huai River was evaluated at the middle-level pollution.

Poyang Lake is the largest freshwater lake in China and an important international wetland. The ecological environment protection and sustainable development of this lake basin have great significance. In this study, GIS spatial analysis is used to figure out the non-point source adsorbed pollutants（nitrogen and phosphorus) of this region, which based on multi-source data in 1990, 2000 and 2008. Firstly, the soil erosion amount and modulus were estimated by the soil loss equation. Secondly, the lake sediments loadings were calculated by the sediments transferring ratios in the lake. Finally, the spatiotemporal variation of non-point source N and P loadings were simulated by Particulate N and P transfer empirical model. The results indicated that N and P pollutions were lower in the center but higher in surrounding areas. The pollutions were higher in the upper drainage areas but lower in lower areas, which was mostly due to the plains and hills are interactively distributed in this region and the low soil erosion intensities in this type of landforms. This region yearly N and P pollution order in the studied years is 2000 > 1990 > 2008.

In recent years, the middle reaches of the Hanjiang River are experiencing complex climate change and human activities synergistic interference.It is of great significance that we evaluate the impacts of human activities and climate change on the vegetation such that we could make better decisions in natural resource and environmental management. In this work, we used remote sensing data to address this problem. First and foremost, based on the NDVI generated using MODIS data from 2001 to 2015, we analyzed the spatial and temporal patterns of the annual average vegetation NDVI variations in the middle reaches of Hanjiang River using pixel-by-pixel linear regression and goodness-of-fit calculation. Moreover, we also used geomorphic differentiation analysis to assess the impacts and spatial heterogeneity of human activities. The results indicate that there has been a fluctuating growth in the annual average vegetation NDVI in the study area in the past 15 years. The temporal-spatial NDVI variations of the vegetation reflect the patterns of geomorphological heterogeneity. The temporal-spatial variations in different geomorphological areas have different spatial and temporal characteristics. Specifically, the annual average vegetation NDVIs of plains, flood plains and platforms have increased significantly, while those of hills, low mountains and middle mountain vegetation have experienced little growth. Human impacts also vary with geomorphology. The ranking of different landform types with regard to the impacts of human activities on the annual average their vegetation NDVI variation (from strong to weak) is as follows: plain, platform, flood plain, hill, low mountain, and middle mountain. Finally, we conclude that human activities are the main reason for the steady growth of annual average NDVI in the plain area of the middle reaches of the Hanjiang River.

Assessment and investigation of biodiversity distribution (and/or hotspots) are the foundations of conservation area establishment and biological protection decisions. Dongting Lake area located in the middle reaches of the Yangtze River, is an important wetland ecosystem in China. It is one of the major wintering habitats for the migrant birds of China or Asia. This study focused on the spatiotemporal characteristics of fourteen protected bird species (class I and II) in Dongting Lake area, analyzed total 35 environmental factors, such as topography, water types, vegetation, climate, human activities influences, etc. The Maxent model was used to access those birds habitats suitability. The results showed: (1) These bird biodiversity distributions were featured as group, and the bird habitat hotspot areas were decreasing from 1990 to 2013; (2) The landscape pattern of the bird biodiversity hotspots tended to break down, and these habitat shapes were becoming simple and flat; but the habitat patterns were turning to complex; (3) Economic and social developments showed significant influence on birds biodiversity hotspots of this region, but those naturally environmental factors didn't. These results may be useful for regional biodiversity conservation.

The Wudongde Reservoir is a seasonal regulating reservoir in Southwestern China, and the reservoir water temperature structure was projected by the laterally averaged 2D reservoir water temperature model. The result shows that the water temperature structure of the reservoir presents seasonal stratification characteristics. The reservoir operation has affected on the dam downstream water temperatures, which included low-temperature water discharge in spring and high-temperature water discharge in winter. Compared to the natural river conditions, lower temperature water can be discharged between February and August while the water intake scheme of single layer was adopted. The maximum downstream water temperature decline could be 2℃, and the low-temperature waters had produced opposite effects on fish reproductions. Stop-log intake works will be taken in the Wudongde Hydropower Station during the fish spawning period between March and June annually, because the fishes are sensitive to low-temperature waters. Compared to the water intake scheme for single layer, the stop-log intake works showed notable improvements on downstream water temperature changes. The discharged water temperature can be increased by 0.8～1.1℃，which can slow down the water temperature delaying effects.

Coastal wetlands are important to waterbirds conservation. However, some coastal wetlands in China were cultivated greatly, resulting in the coastal wetlands qualities declines, and harm to the waterbirds and their habitats. Some of these wetlands have been cultivated to rice farms through large-scale mechanized planting, which had significantly negative impacts on the migratory waterbirds. In this study, we propose a new way to reform those rice fields, it can match the both requirements of rice growth and waterbirds habitats. The key step of the experiment is to set up a pond with an open water area in the rice field, and build ecological islands in the pond unit, thus create an agro-ecological system that can provide waterwirds habitats while the rice can be cultivated inside. To explore how this new technology benefit waterbirds’ biodiversity, we selected two sites (10 ha for each) on the Chongming Island (Shanghai, China), the experimental site rice fields are treated by above technology and the control site fields are cultivated by common industrial managements. In this experiment, we carried out fifteen times of waterbird surveys between August 2013 and May 2014. A total of 34 species were recorded with waterbirds density of 41.87 ± 6.62/hm2 in the experimental rice fields, whereas only 12 species were recorded at the control site with waterbirds density of 2.08 ± 0.45/hm2. The results of this study suggest that this technology could significantly increase waterbirds biodiversity in the present rice fields, and it may be applied to other coastal wetlands restoration in China.

Fujiang River upstream is typical of high ridge and narrow valley physiography, which results in its contradictory between people and land. Therefore, the land after debris flow disasteris the main living place for local residents. Through field survey, we found the current development tendency of the debris flow disaster landis mainly depositing.The extent of deposition fan reached 58 percent and the distance from debris flow disaster land to the river ranges from 100 to 350 meters. The debris flow disaster land has good hydrothermal condition. Based on the difference of  debris flow depth and the discharge under designed rainfall frequencies, we set up a method to determine the deposition hazard range of debris flow disaster landin Fujiang River upstream. The deposition scopes under different rainfall frequencies with 20 years return period,50 years return period and 100 years return period were calculate as 0.167 km2, 0.292 km2 and 0.420 km2, respectively. It will be benefitfor building debris flow disaster evaluation method based on land utilization and disaster risk in advance.