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Experimental study on spraying disinfection with neutral electrolyzed water in a layer breeding farm

Nongye Gongcheng Xuebao/Transactions of the Chinese Society of agricultural engineering 2010年第9期26卷 270-273页

作者： Zheng, Weichao Li, Baoming Shang, Yuchao Wang, Chaoyuan Yang, Zhanyong Cao, Wei Key Laboratory of Structure and Environment in Agricultural Engineering Ministry of Agriculture China Agricultural University Beijing 100083 China Shijiazhuang Huamu Animal Husbandry Co. Ltd. Shijiazhuang 050061 China

environmental issues are becoming the main cause of severe animal diseases, which greatly restricts the promotion of animal husbandry. Regular disinfection in animal farms is an important measure to prevent epidemic d... 详细信息

关键词： Disinfection

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Composition, source, mass closure of PM_(2.5) aerosols for four forests in eastern China

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Journal of environmental Sciences 2010年第3期22卷 405-412页

作者： Li Li Wu Wang Jialiang Feng Dongping Zhang Huaijian Li Zeping Gu Bangjin Wang Guoying Sheng Jiamo Fu Institute of Environmental Pollution and Health School of Environmental and Chemical Engineering Shanghai University Shanghai 200444 China. College of Resources and Environment Sichuan Agricultural University Ya'an 625014 China State Key Laboratory of Organic Geochemistry Guangzhou Institute of Geochemistry Chinese Academy of Sciences Guangzhou 510640 China

PM2.5 aerosols were collected in forests along north latitude in boreal-temperate, temperate, subtropical and tropical climatic zones in eastern China, i.e., Changbai Mountain Nature Reserve （CB）, Dongping National Forest Park in Chongming Island （CM）, Dinghu Mountain Nature Reserve （DH）, Jianfengling Nature Reserve in Hainan Island （HN）. The mass concentrations of PM2.5, organic carbon （OC）, elemental carbon （EC）, water soluble organic carbon （WSOC） as well as concentrations of ten inorganic ions （F？, Cl？, NO3？, SO42？, C2O42？, NH4＋, Na＋, K＋, Ca2＋, Mg2＋） were determined. Aerosol chemical mass closures were achieved. The 24-hr average concentrations of PM2.5 were 38.8, 89.2, 30.4, 18 μg/m3 at CB, CM, DH and HN, respectively. Organic matter and EC accounted for 21%–33% and 1.3%–2.3% of PM2.5 mass, respectively. The sum of three dominant secondary ions （SO42-, NO3-, NH4＋） accounted for 44%, 50%, 45% and 16% of local PM2.5 mass at CB, CM, DH and HN, respectively. WSOC comprised 35%–65% of OC. The sources of PM2.5 include especially important regional anthropogenic pollutions at Chinese forest areas.

关键词： PM2.5 aerosols forests OC/EC WSOC inorganic ions

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Structural damage identification via modal data based on genetic algorithm

Structural damage identification via modal data based on gen...

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International Conference on Computational Intelligence and Software engineering

作者： Li, Jie Liao, Bihai Huang, Minshui School of Civil Engineering and Mechanics Hubei Key Laboratory of Control Structure Huazhong University of Science and Technology Wuhan China School of Environment and Civil Engineering Transportation Research Center Wuhan Institute of Technology Wuhan China

ISBN: (纸本)9781424453924

This paper presents a nondestructive global damage identification method based on the changes in frequencies, mode shapes and flexibilities of vibration of structural system. The method is applied at an element level, the damage is represented by a reduction factor of the element bending stiffness and an adaptive genetic algorithms (AGA) is proposed to identify damage location and severity, which is improved in selection, crossover, mutation and construction of objective function. The method has been verified by a number of damage scenarios for simulated beams, and from the analysis results it can be seen that the proposed AGA yields a suitable damage location and severity identification. The results can be used in the practice of bridge structures for damage detection, health monitoring, bearing capacity evaluation and the application is significant theoretically and practically. ©2010 IEEE.

关键词： Genetic algorithms

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Study on damage identification for bridge structure based on improved genetic algorithm

Study on damage identification for bridge structure based on...

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2010 International Conference on Mechanic Automation and Control engineering, MACE2010

作者： Huang, Minshui Li, Jie Lu, Xinhai Hu, Guoxiqang Yu, Jing School of Environment and Civil Engineering Transportation Research Center Wuhan Institute of Technology Wuhan China School of Civil Engineering and Mechanics Hubei Key Laboratory of Control Structure Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781424477388

A damage identification method based on improved genetic algorithm (IGA) is presented that accurately identifies both the location and severity of damage in a simulated 3-span continuous beam bridge. Damage identification based on finite element model updating is often used and damage is identified by minimizing the error between measured and analytical results. But whether model updating can be carried out successfully mainly depend on accuracy of model, quality of vibration testing, definition of optimization problem and calculation performance of optimization algorithm. In the paper, the construction technique of objective function based on modal parameters is introduced firstly, an improved genetic algorithm (IGA) is presented secondly. In the end, through the simulation of a continuous beam bridge damage identification is studied comparatively. From the results it can be seen that the damage identification method developed using IGA provides greater accuracy in identifying the location and severity of damage. ©2010 IEEE.

关键词： Genetic algorithms

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Flood risk assessment based on entropy weight and cloud model: A case study in Huaihe River Basin of China

Flood risk assessment based on entropy weight and cloud mode...

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2nd Conference on environmental Science and Information Application Technology, ESIAT 2010

作者： Tian, Yugang Wu, Yongfeng Liao, Xiaolu College of Information Engineering China University of Geosciences Wuhan China Institute of Environment and Sustainable Development for Agriculture Chinese Academy of Agricultural Science CAAS Key Laboratory of Agro-Environment and Climate Change Beijing China

ISBN: (纸本)9781424473885

Flood risk assessment is of very importance for disaster mitigation, which is complemented by environment stability, hazard statistical and vulnerability possibility. Each factor usually contains a series of indicators and a comprehensive analysis of each factor must be superimposed on the various indicators. The traditional methods on how to determine the relative weight of each indicator are experts-scoring and AHP, which require a given weight by experts. In this paper, maximum entropy is applied into determining weight of each indicator and cloud model, one kind of uncertain artificial intelligence models, is used to classify the grades of flood risk objectively. Finally, a case study in Huaihe River Basin of China is made and some conclusions are drawn. ©2010 IEEE.

关键词： Risk assessment

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Simultaneous elution of polycyclic aromatic hydrocarbons and heavy metals from contaminated soil by two amino acids derived from β-cyclodextrins

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Journal of environmental Sciences 2010年第12期22卷 1910-1915页

作者： Chengjian Yang Qingru Zeng Yunzhong Wang Bohan Liao Jian Sun Hui Shi Xingdou Chen School of Environment & Municipal Engineering Xi'an Architecture Science Technology University Xi'an 710055 China. Department of Environmental Science Hunan Agricultural University Changsha 410128 China Ministry of Education Key Laboratory of Pollution Control and Ecological Remediation for Industrial Agglomeration Area Department of Environmental Science and Engineering South China University of Technology Guangzhou 510006 China

Two highly water-soluble amino acids, which derived from β-CDs, i.e., glutamic acid-β-cyclodextrin （GluCD） and ethylene-diamine- β-cyclodextrin （EDCD）, were synthesized and were examined for their effect on solubilization of anthracene （ANT）, complexation of cadmium （Cd^2＋）, and elution removal of ANT and Cd^2＋ in soil. The results showed that GluCD and EDCD were powerful complexant for ANT and Cd^2＋. In the presence of 10 g/L GIuCD and EDCD, the solubilization of ANT increased by 47.04 and 23.85 times compared to the control, respectively. GluCD resulted in approximately 90% complexation of Cd^2＋ while 70% complexation was observed for EDCD. Simultaneously, GluCD and EDCD could greatly enhance the elution removal of ANT and Cd^2＋ from soil. GluCD resulted in the highest elution efficiency of ANT and Cd^2＋. With the addition of 10 g/L GluCD, 53.5% of ANT and 85.6% of Cd^2＋ were eluted, respectively. The ANT had a negligible effect on the Cd^2＋ removal due to different complexing sites of ANT and Cd^2＋, while Cd^2＋ enhanced the ANT removal under the addition of GluCD because Cd^2＋ neutralized the -COOH group of GIuCD. Adversely, the removal of ANT was decreased with Cd^2＋ under the addition of EDCD, this was due to the fact that Cd^2＋ enhanced the polarity of EDCD molecule and inhibited the complexation between ANT and EDCD. The study suggested that GluCD could be preferred and be successfully applied to remediation of heavy metals or organic compounds in contaminated soil.

关键词： anthracene cadmium cyclodextrin solubilization elution soil

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Simulation of Morphological Development of Soil Cracks in Yuanmou Dry-hot Valley Region, Southwest China

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Chinese Geographical Science 2010年第2期20卷 112-122页

作者： XIONG Donghong YAN Dongchun LONG Yi LU Xiaoning HAN Jianning HAN Xueqin SHI Liangtao Key Laboratory of Mountain Hazards and Surface Process Chinese Academy of Sciences Chengdu 610041 China Institute of Mountain Hazards and Environment Chinese Academy of Sciences Chengdu 610041 China Department of Environmental Engineering Chengdu University of Information Technology Chengdu 610225 China Institute of Tropical Eco-agricultural Sciences Yunnan Academy of Agricultural Sciences Yuanmou 651300 China

Soil cracking is an important process influencing water and solutes transport in the Yuanmou Dry-hot Valley region of Southwest China. Studying the morphological development of soil cracks helps to further reveal the close relationship between the soil cracking process and water movement in such semi-arid regions. Here we report regular changes on surface morphology of soil cracks with decreasing water in four different soils (Typ-Ustic Ferrisols,Ver-Ustic Ferrisols,Tru-Ustic Vertisols and Typ-Ustic Vertisols) through simulation experiments. Our results indicate the following: 1) Different soils ultimately have different development degrees of soil cracks,according to their various values of crack area density. Soil cracks in Typ-Ustic Ferrisols can only develop to the feeble degree,while those in the other three soils are capable of developing into the intensive degree,and even into the extremely intensive degree. 2) Soil crack complexity,as expressed by the value of the area-weighted mean of crack fractal dimension (AWMFRAC),is found to continuously decrease as a whole through the whole cracking process in all the studied soils. 3) Soil crack connectivity shows a uniform trend in the studied soils,that is to say,connectivity gradually increases with soil crack development.

关键词： soil cracks morphological development simulation experiment Yuanmou Dry-hot Valley region Southwest China

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Study on Plant Nutrition Indicator Using Leaf Spectral Transmittance for Nitrogen Detection

Study on Plant Nutrition Indicator Using Leaf Spectral Trans...

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Computer and Computing Technologies in Agriculture IV——4th IFIP TC 12 Conference(CCTA2010) Part IV

作者： Juanxiu Hu Dongxian He Po Yang Key Lab.of Agriculture Engineering in Structure and Environment College of Water Conservation and Civil EngineeringChina Agricultural University

ISBN: (纸本)9783642183683

The low fertilizer utilization at growing season and environment pollution coursed by unreasonable fertilization are becoming global outstanding problems in agricultural *** and reasonable fertilization based on rapid and nondestructive plant nutrient detection will be a valuable solution for solving above *** this study,spectral transmittance in wavelength ranged from 300 to 1100 nm,chlorophyll content and nitrogen content of rice and cucumber leaves treated with culture solution in five different nitrogen levels were *** to the correlation analysis between them,560,650,and 720 nm as feature wavelengths and 940 nm as reference wavelength were determined for nitrogen *** analysis between 21 spectral feature parameters composed by the transmittance at above wavelength,the leaf chlorophyll content and nitrogen content,and combined with their regression examination indicated that spectral feature parameters of(T940- T560) /(T940 + T560),log(T940/T560)and log(T940/T650) are useful to conduct plant nutrient diagnosis with less than8%relative error in rice and cucumber ***,the above spectral feature parameters as plant nitrogen indicators can be used to estimate the chlorophyll content and nitrogen content,furthermore support for non-destructive plant nutrient detection and fertilizer recommendation based on testing soil.

关键词： Chlorophyll content Nitrogen content Spectral feature parameter Spectral transmittance.

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Watershed pollution control plans effect assessment: Countermeasure adjustment modeling and simulation

Watershed pollution control plans effect assessment: Counter...

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17th International Conference on Industrial engineering and engineering Management, IE and EM2010

作者： Yu, Ya-Juan Huang, Kai Yu, Shu-Xia Ye, Long-Hao Chen, Yan Guo, Huai-Cheng Beijing Key Laboratory of Environmental Science and Engineering School of Chemical Engineering and Environment Beijing Institute of Technology Beijing China College of Environmental Science and Engineering Beijing Forestry University Beijing China College of Resource and Environment Huazhong Agricultural University Wuhan China College of Environmental Science and Engineering Peking University Beijing China

ISBN: (纸本)9781424464814

As the effect of watershed pollution control planning is hard to evaluated, this paper brought forward a kind of methodology to assess the countermeasures' effects on the water body. A kind of Artificial Neural Net (ANN) work called Radial Basis Function (RBF) was used to simulate the uncover interrelationships among the measures and the water quality indicators. After building their internal net, some certain input parameters which represents the environmental protection investments or alike in the net, were adjusted mandatorily. The variations of the output water quality indicators showed the effect of these countermeasures. The simulation result showed that investment on environmental protection is a positive index for water quality improvement. © 2010 IEEE.

关键词： Water quality

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Assessment of Soil Erosion and Sediment Yield in Liao Watershed, Jiangxi Province, China, Using USLE, GIS, and RS

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Journal of Earth Science 2010年第6期21卷 941-953页

作者：李辉陈晓玲 Kyoung Jae Lim 蔡晓斌 Myung Sagong Faulty of Earth Sciences China University of Geosciences Three Gorges Research Center for Geo-hazard Ministry of Education China University of Geosciences The Key Lab of Poyang Lake Ecological Environment and Resource Development Jiangxi Normal University State Key Laboratory for Information Engineering in Surveying Mapping and Remote Sensing Wuhan University Department of Agricultural Engineering Kangwon National University Institute of Geodesy and Geophysics Chinese Academy of Sciences Track & Civil Engineering Research Department Korea Railroad Research Institute

Soil erosion by water is a serious problem all over the world. In China, about 1 790 000 km2 of land suffers from water erosion, which accounts for 18.3% of China＇s total area. This study was conducted in the Liao （潦） watershed in Jiangxi （江西） Province to assess annual soil erosion and sediment yield using the Universal Soil Loss Equation （USLE）. A geographic information system （GIS） was used to generate maps of the USLE factors, which include rainfall erosivity （R）, soil erodibility （K）,slope length and steepness （LS）, cover （C）, and conservation practice （P） factors. By integrating these factors in a GIS, a spatial distribution of soil erosion over the Liao watershed was obtained. The soil erosion was found to vary from nil for flat and well-covered areas to more than 500 t/ha/a in mountainous places with sparse vegetation. The average soil erosion is 18.2 t/ha/a with a standard deviation of 109.3 t/ha/a. The spatial distribution of erosion classes was estimated. About 39.5% of the watershed is under the tolerant erosion rate, and 60.5% of the study area experienced erosion to different extents. A spatially distributed sediment delivery ratio （SDR） module was developed to account for soil erosion and deposition. It was found that the SDR value at the outlet of the Liao watershed was 0.206, and the sediment yield was 1.32 million t/a, which was 20% higher than the measured sediment. The results can be used to identify the soil erosion hot spots and develop the best soil erosion management practices and help estimate the quantity of soil that was transported into the downstream Poyang （鄱阳） Lake.

关键词： soil erosion USLE GIS sediment delivery ratio.

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