Anhui Key Laboratory of Natural Disaster Process and Prevention

Wuhu, China

Anhui Key Laboratory of Natural Disaster Process and Prevention

Wuhu, China
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Yu J.,China University of Technology | Yu J.,Anhui Normal University | Yu J.,Anhui Key Laboratory of Natural Disaster Process and Prevention | Fang L.,Anhui Normal University | And 5 more authors.
Shengtai Xuebao/ Acta Ecologica Sinica | Year: 2014

The soil carbon pool is the biggest one in the terrestrial ecosystem. The composition of soil carbon pool influences carbon accumulation and decomposition, and directly controls global terrestrial carbon balance, and influences soil quality. Making clear the constitutes of soil carbon pool is the key process in revealing the mechanism of soil carbon pools change. This paper overviewed the structure and composition of the soil carbon pools. Soil carbon pools include soil inorganic carbon pool and soil organic carbon pool. Soil inorganic carbon pool includes HCO- 3 in soil solution, CO2 in soil air, and CaCO3 in soil. And CaCO3 is the main component in soil inorganic carbon pool. Soil inorganic carbon pool can influence soil organic carbon pool by affecting composition of soil aggregates, microbial activity, soil pH, and soil organic matter decomposition rate. Soil organic carbon is a very complex continuous mixture, which includes a variety of organic carbon fractions and forms with different nature. And the content of all kind of soil organic carbon affects the transformation of soil carbon pool and thereby influences soil quality and carbon cycle in terrestrial ecosystem. Soil organic carbon pools are categorized into soil labile organic carbon pool and soil stable organic carbon pool. Among them, soil labile organic carbon can turnover within a certain time, and can be utilized by plant and microorganism, and have a major impact on the carbon balance. Soil labile organic carbon is also named soil activated organic carbon or effective carbon by some authors, and includes terms as available carbon (AC), dissolved organic carbon (DOC), water soil organic carbon (WSOC), readily oxidation carbon (ROC), microbial biomass carbon (MBC), biodegradable carbon, light fraction organic carbon (LFOC), particulate organic carbon (POC) and so on. Black carbon (BC) and coal carbon are suggested to be categorized into soil organic carbon pool to perfect the frame of soil organic carbon pool composition. Black carbon is a C-rich organic material derived from incomplete combustion of fossil fuels and vegetation and from weathering of graphitic C in rocks, and very stabile. Black carbon captures and sequesters carbon from the bio-atmospheric cycle, which, in the long term, reduces greenhouse gas emissions and thus mitigates the greenhouse effect. Meanwhile, resistant black carbon amendation increase soil organic matter, thus regulating soil structure and enhancing soil fertility. Because of its high adsorption capacity, black carbon adsorbs organic pollutants, heavy metals, nutrients to decrease ecosystem risk. The coal (carbon) in the surface layer soil mainly come from outside source; include garbage, filling, atmospheric sedimentation and so on. The coal mine area is usually the district absorbing the most coal (carbon). In future studies, we should strengthen the researches on the scientific issues including the chemical composition, overlapping quantitative relationship of the soil organic carbon pools, transformation and migration of soil organic carbon in the soil, the impact of black carbon on the stability of the soil carbon pool and soil quality, the impact of coal (carbon) on soil quality and environmental effects in the coal mining disturbed zone, and organic carbon change and mechanism in newly developed soil, reclamation soil and reconstruction soil. © 2014, Science Press. All rights reserved.


Sun P.,Anhui Normal University | Sun P.,Anhui Key Laboratory of Natural Disaster Process and Prevention | Zhang Q.,Suzhou University | Zhang Q.,Sun Yat Sen University | And 3 more authors.
Stochastic Environmental Research and Risk Assessment | Year: 2016

The Tarim River basin, China, is a typical arid inland river basin in China. Management of water resources and agricultural development rely heavily on the understanding of droughts. In this study, an integrated drought index is proposed, based on the Standardized Precipitation Evapotranspiration Index and the Standardized Runoff Index, and then the changing properties of drought regimes have been analyzed using a Markov Chain model. Results indicate that: (1) the Kaidu and Aksu Rivers are dominated by prompt transition between hydrological and meteorological droughts. Long-lasting droughts heavily impact agricultural development in the Kaidu and Yarkand River basins; (2) the Kaidu and Aksu River basins are influenced mainly by hydro-meteorological droughts and hydrological drought is dominant in the Yarkand River basin; (3) different drought conditions are the results of different sources of river runoff. Increasing precipitation alleviate droughts in the Tarim River basin. However, a drying tendency can still be found in the Kaidu River basin; (4) higher probability is detected for the transition from both meteorological and hydrological wet to both meteorological and hydrological dry, implying that the Tarim River basin is sensitive to both meteorological and hydrological droughts. Results of this study are of practical value for the regional management of water resources, planning of agricultural irrigation, and measures for mitigation of hydrological and meteorological droughts. © 2016 Springer-Verlag Berlin Heidelberg


Gao C.,Anhui Normal University | Chen S.,Anhui Key Laboratory of Natural Disaster Process and Prevention | Zhai J.,National Climate Center | Zhang Z.,Anhui Normal University | Liu Q.,Anhui Normal University
Shuikexue Jinzhan/Advances in Water Science | Year: 2014

Based on the daily precipitation from 110 stations in the Huaihe River Basin during 1959-2008, the crop damage area due to drought and flood disasters from 1978 to 2008, the hazard factor from precipitation, the extent of damage for crops, and the spatial-temporal characteristics of disasters are analyzed. The thresholds of drought and flood disasters are calculated and the relationships between the thresholds of drought and flood disasters and the crop damage area are established. The result shows that first, the thresholds of drought and flood disasters can be calculated using the ratio of the cumulative event precipitation to the mean cumulative precipitation of 1959-2008. The ratio can well reflect the severity of flood and drought disasters of varying degrees, and can meet the requirements for analyzing flood and drought events in the study area. Second, the drought and flood disasters quantified by the calculated thresholds can reflect all degrees of drought and flood disasters and the affected areas. The thresholds and the affected areas have similar variation tendency. In particular, the threshold of drought disaster and the crop damage area are highly correlated as revealed by the high value of correlation coefficient (0.96). Thus, a model for forecasting the crop damage area is developed based on the threshold of drought disaster.


Lu M.,Anhui Normal University | Lu M.,Anhui Key Laboratory of Natural Disaster Process and Prevention | Gao C.,Anhui Normal University | Su B.,National Climate Center | And 3 more authors.
Journal of Natural Disasters | Year: 2015

Based on the precipitation data during Jan. 1, 1959 and Dec. 31, 2008 from 110 stations around Huaihe River basin, AM and POT extreme precipitation sequences were established, 33 distribution functions of 4 categories were applied to fit the extreme precipitation sequences. Then the optimal probability distribution model was established. The results show that, daily spatial distribution of average precipitation of 1959-2008 of the basin reduces gradually from both boundaries to the center of the basin, and there are two strong precipitation centers, namely Huaihe River upstream region and eastern Yishusi valley, exist in the region. Also, K-S method checking showed that, Wakeby function is the optimal probabilistic distribution function for the two series AM. The error rate of the estimated values from the observed values increases with the increase of the actual precipitation, and the errors of most stations are less than 20%. According to analysis of the shape and scale parameters of the optimal probability distribution model, the probabilities of extreme precipitation are larger in zhumadian, Funan, Huainan regions and the intersection region of Anhui, Shandong and Jiangsu Provinces; the changes of extreme precipitation are not stable in the surroundings of the Huaihe River main stream and downstream areas. Based on the shape and scale parameters of optimal probability distribution model, the extreme precipitation hazard map was drawn. The map may provide a theoretical reference for the work of disaster prevention and mitigation of extreme precipitation events.


Yu J.,China University of Technology | Yu J.,Anhui Normal University | Yu J.,Anhui Key Laboratory of Natural Disaster Process and Prevention | Fang L.,Anhui Normal University | And 4 more authors.
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering | Year: 2012

Focusing on the problems of method disunity, information shield and subjectivity of the evaluation of land eco-security in China, this paper evaluated land eco-security of Ma'anshan, Hefei, Wuhu, Xuancheng, Anqing, Chuzhou, Chizhou, Chaohu and Tongling nine cities in Wanjiang district with the theory of entropy weight and matter element model, and the results were compared with that by comprehensive evaluation method. The entropy weight method includes following steps: building system of assessing factors, setting up field of the factors for classifying eco-security, constructing model of entropy and matter element analysis, calculating relevancy between the factor and land eco-security, making out the weight of every factors. The result showed that the land eco-security of Ma'anshan was more dangerous, followed by Chizhou, Anqing. Xuancheng, Hefei and Chuzhou were safe. The grade of Wuhu, Chaohu and Tongling were of a safer trend, which was consistent with the result of comprehensive assessment. The main factors of land eco-security in Wanjiang district included pesticide capacity per-unit area, amount of SO 2 per GDP, water resource capacity per capita, density of people, forest coverage ratio, proportion of arable land area over 25 slope, and ratio of worked exhaust gas and so on. The information of comprehensive quality can be obtained by method of comprehensive assessment, while by method of matter element model, the discrete information of single factor and the steady status can be described in addition to the comprehensive quality. Therefore, matter-element model is valuable in land eco-security assessment.


Cheng X.,Anhui Normal University | Cheng X.,Anhui Key Laboratory of Natural Disaster Process and Prevention | Sun H.,Anhui Normal University | Sun H.,Anhui Key Laboratory of Natural Disaster Process and Prevention | And 4 more authors.
Chinese Journal of Applied and Environmental Biology | Year: 2014

To study on the spatial variability of soil properties for the understanding of the differences in soil is important. Using ordinary Kriging and sequential Gauss simulation methods, we calculated and simulated the spatial distribution of soil total nitrogen and available phosphorus in the Longtan watershed of the Dabieshan Mountain. The results showed that the spatial variability of soil total nitrogen and available phosphorus were moderate with strong spatial autocorrelation. Semivariogram was of exponential model, with total nitrogen variable range of 333 m and phosphorus variable range of 474 m. Total nitrogen content was mainly 1.2-1.6 g kg-1, accounting for 34.96% of the total area, higher in the central and southern watershed. Available phosphorus content was mainly 60-100 mg kg-1, accounting for 42.17% of the total area, comparatively higher in the northwestern and southern watershed. The 1 000 sequential Gauss simulation showed that the soil total nitrogen and available phosphorus obtained by ordinary Kriging spatial distributions was smooth, while the result from sequential Gauss simulation was relatively discrete with great volatility. The critical probability value of 0.50 can meet the conditional simulation requirement. Stochastic simulation can describe the spatial distribution of soil properties uncertainty and provide a powerful tool for spatial structure of regional soil attributes.


Wu Q.,Anhui Normal University | Tong C.,Ningbo University of Technology | Wang Q.,Hunan City University | Cheng X.,Anhui Key Laboratory of Natural Disaster Process and Prevention
Journal of Networks | Year: 2013

In view of the problem that computing shortest paths in a graph is a complex and time-consuming process, and the traditional algorithm that rely on the CPU as computing unit solely can't meet the demand of real-time processing, in this paper, we present an all-pairs shortest paths algorithm using MPI+CUDA hybrid programming model, which can take use of the overwhelming computing power of the GPU cluster to speed up the processing. This proposed algorithm can combine the advantages of MPI and CUDA programming model, and can realize two-level parallel computing. In the cluster-level, we take use of the MPI programming model to achieve a coarse-grained parallel computing between the computational nodes of the GPU cluster. In the node-level, we take use of the CUDA programming model to achieve a GPU-accelerated fine grit parallel computing in each computational node internal. The experimental results show that the MPI+CUDA-based parallel algorithm can take full advantage of the powerful computing capability of the GPU cluster, and can achieve about hundreds of time speedup; The whole algorithm has good computing performance, reliability and scalability, and it is able to meet the demand of real-time processing of massive spatial shortest path analysis. © 2013 ACADEMY PUBLISHER.


Zhang P.-J.,Anhui Key Laboratory of Natural Disaster Process and Prevention | Zhang P.-J.,Anhui Normal University | Zhao Y.-Q.,Anhui Normal University | Men X.-D.,Anhui Normal University
Wetland Science | Year: 2012

Soils from wetlands with different historical land use patterns (hydroponie farming and dry farming) and returning under different restoration modes (low dam and high net for aquaculture, such as Baidang Lake area, and natural ecology restoration of wetland, such as Caizi Lake area) were sampled to reveal changes of soil biochemical properties after returning farmland to lake (RFL) along the Yangtze River in Anqing. The results showed that the amounts of soil microbial biomass carbon and the activities of soil phosphatase and catalase increased, however, the activities of soil saccharase and urease decreased after RFL in Caizi Lake area; no significant difference was found between urease activities in sub-surface soils and catalase activities in surface soils from wetlands with historical hydroponie farming (HHF) and those in wetlands with historical dry framing (HDF) after 18-year RFL, while soil urease activities in surface soils and catalase activities in subsurface soils, amounts of soil microbial biomass carbon, saccharase and phosphstase activities both in surface and sub-surface soils were significantly higher in wetlands with HHF than those in wetlands with HDF after 18-year RFL in Caizi Lake area; the amounts of soil microbial biomass carbon and the activities of soil saccharase, urease and phosphstase decreased, while the activities of soil catalase increased after 18-year RFL in Baidang Lake area; no significant difference was found between microbial biomass carbon amounts both in surface and subsurface soils from wetlands with HHF and those in wetlands with HDF, while urease activities both in surface and subsurface soils, saccharase activities in surface soils, and phosphatase activities in subsurface soils were significantly higher in wetlands with HHF than those in wetlands with HDF after 18-year RFL in Baidang Lake area; saccharase activities in subsurface soils, and phosphatase activities in surface soils, and catalase activities both in surface and subsurface soils were significantly lower in wetlands with HHF thanthose in wetlands with HDF after 18-year RFL in Baidang Lake area; the amounts of soil biomass carbon and the activities of urease, saccharase, and phosphatase in semi-natural wetlands were lower than those in most of other sampling ecotesseras in the same lake area.


Wu Q.,Anhui Normal University | Wang Q.,Hunan City University | Cheng X.,Anhui Key Laboratory of Natural Disaster Process and Prevention
Journal of Theoretical and Applied Information Technology | Year: 2013

In view of the problem that massive spatial data interpolation is a complex and time-consuming computing process, and the traditional CPU implementation methods can't meet the real-time processing demand, in this paper, we propose a parallel bilinear spatial interpolation algorithm, which is accelerated by the graphic processing unit(GPU) and implemented in compute unified device architecture(CUDA). Firstly, we introduce the basic idea of general purpose computing on graphics processing units (GPGPU) and then discuss the technology of the CUDA programming model. Secondly, we introduce the principle of the bilinear interpolation algorithm and analyze the feasibility of mapping the bilinear interpolation algorithm program onto the GPU, and then we provide detail of implementing our parallel bilinear spatial interpolation algorithm on GPU that uses the CUDA programming model. Finally, we conduct several groups of experiments to demonstrate the strength of our GPU implementation method by measuring the performance over standard CPU implementation. The experimental results show that the GPGPU-based parallel algorithm can take full advantage of the GPU's parallel computing capabilities, and can achieve about 40 times speedup; it is able to meet the demand of real-time processing of massive spatial data interpolation. © 2005 - 2013 JATIT & LLS. All rights reserved.


Zhang G.,Anhui Normal University | Zhang G.,Anhui Key Laboratory of Natural Disaster Process and Prevention | Cheng X.,Anhui Normal University | Cheng X.,Anhui Key Laboratory of Natural Disaster Process and Prevention | And 4 more authors.
Chinese Journal of Applied and Environmental Biology | Year: 2011

In this study, geostatistics combined with GIS spatial Kriging was applied to quantitatively analyze the spatial variability and distribution pattern of soil organic matter (OM) and total phosphorus (TP) in the Longtan small catchment in Shucheng County, Anhui, China. The results showed that the semivariogram models of OM and TP both followed exponential model and they all had a strong spatial autocorrelation, with ranges being 642 m and 435 m, respectively. The variations of OM and TP in anisotropy all changed obviously, the variation of OM in 0° and 50° direction changed more strongly than that in 90° and 145° direction, while the variation of TP in 0° and 145° direction changed more strongly than that in 50° and 90° direction. The distributions of OM and TP showed block and band characteristics. The content of OM was found higher in the middle of the area, while lower in the south and west. However, the content of TP was higher in the south and northwest of the area, while lower in the west and northeast. Fig 6, Tab 3, Ref 18.

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