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| 1 | A new approach to water resources system assessment——set pair analysis method显示文摘Most traditional assessment methods, which have complicated mathematic formulas, are difficult for calculation and application in water resources system assessment. A new approach to water resources system assessment, the set pair analysis method (SPAM), has been proposed based on the principle of set pair analysis (SPA). The basic ideals and steps of SPAM are discussed. The proposed method can take fuzzy property of threshold values for grade standards into full account and avoid determining the discrepancy uncertainty coefficient i or i1, i2, i3, … in SPA. The presented method is simple in concept, convenient to calculate and feasible for application. Two case studies of water resources assessment have been made. The results show that the proposed method is satisfactory. | WANG WenSheng JIN JuLiang DING Jing LI YueQing | 2009 | Science China(Technological Sciences)2009，52，10： | 43 |
| 2 | Comprehensive Assessment of Seawater Quality Based on an Improved Attribute Recognition Model显示文摘The attribute recognition model (ARM) has been widely used to make comprehensive assessment in many engineering fields, such as environment, ecology, and economy. However, large numbers of experiments indicate that the value of weight vector has no relativity to its initial value but depends on the data of Quality Standard and actual samples. In the present study, the ARM is enhanced with the technique of data driving, which means some more groups of data from the Quality Standard are selected with the uniform random method to make the calculation of weight values more rational and more scientific. This improved attribute recognition model (IARM) is applied to a real case of assessment on seawater quality. The given example shows that the IARM has the merits of being simple in principle, easy to operate, and capable of producing objective results, and is therefore of use in evaluation problems in marine environment science. | ZHANG Libing CHENG Jilin JIN Juliang JIANG Xiaohong | 2006 | Journal of Ocean University of China2006，5，4： | 4 |
| 3 | A High Precision Comprehensive Evaluation Method for Flood Disaster Loss Based on Improved Genetic Programming显示文摘Precise comprehensive evaluation of flood disaster loss is significant for the prevention and mitigation of flood disasters. Here, one of the difficulties involved is how to establish a model capable of describing the complex relation between the input and output data of the system of flood disaster loss. Genetic programming (GP) solves problems by using ideas from genetic algorithm and generates computer programs automatically. In this study a new method named the evaluation of the grade of flood disaster loss (EGFD) on the basis of improved genetic programming (IGP) is presented (IGP-EGFD). The flood disaster area and the direct economic loss are taken as the evaluation indexes of flood disaster loss. Obviously that the larger the evaluation index value, the larger the corresponding value of the grade of flood disaster loss is. Consequently the IGP code is designed to make the value of the grade of flood disaster be an increasing function of the index value. The result of the application of the IGP-EGFD model to Henan Province shows that a good function expression can be obtained within a bigger searched function space; and the model is of high precision and considerable practical significance. Thus, IGP-EGFD can be widely used in automatic modeling and other evaluation systems. | ZHOU Yuliang LU Guihua JIN Juliang TONG Fang ZHOU Ping | 2006 | Journal of Ocean University of China2006，5，4： | 2 |
| 4 | An Improved Markov Chain Model Based on Autocorrelation and Entropy Techniques and Its Application to State Prediction of Water Resources显示文摘According to the relationships among state transition probability matrixes with different step lengths, an improved Markov chain model based on autocorrelation and entropy techniques was introduced. In the improved Markov chain model, the state transition probability matrixes can be adjusted. The steps of the historical state of the event, which was significantly related to the future state of the event, were determined by the autocorrelation technique, and the impact weights of the event historical state on the event future state were determined by the entropy technique. The presented model was applied to predicting annual precipitation and annual runoff states, showing that the improved model is of higher precision than those existing Markov chain models, and the determination of the state transition probability matrixes and the weights is more reasonable. The physical concepts of the improved model are distinct, and its computation process is simple and direct, thus, the presented model is sufficiently general to be applicable to the prediction problems in hydrology and water resources. | ZHOU Ping ZHOU Yuliang JIN Juliang LIU Li WANG Zongzhi CHENG Liang ZHANG Libing | 2011 | Chinese Geographical Science2011，21，2： | 2 |
| 5 | A Genetic Fuzzy Analytical Hierarchy Process Based Projection Pursuit Method for Selecting Schemes of Water Transportation Projects显示文摘The optimal selection of schemes of water transportation projects is a process of choosing a relatively optimal scheme from a number of schemes of water transportation programming and management projects, which is of importance in both theory and practice in water resource systems engineering. In order to achieve consistency and eliminate the dimensions of fuzzy qualitative and fuzzy quantitative evaluation indexes, to determine the weights of the indexes objectively, and to increase the differences among the comprehensive evaluation index values of water transportation project schemes, a projection pursuit method, named FPRM-PP for short, was developed in this work for selecting the optimal water transportation project scheme based on the fuzzy preference relation matrix. The research results show that FPRM-PP is intuitive and practical, the correction range of the fuzzy preference relation matrix [WTHX]A[WT] it produces is relatively small, and the result obtained is both stable and accurate; therefore FPRM-PP can be widely used in the optimal selection of different multi-factor decision-making schemes. | JIN Juliang LI Lei WANG Wensheng ZHANG Ming | 2006 | Journal of Ocean University of China2006，5，4： | 1 |
| 6 | Application of the Modified EPR method to Detect Susceptibility to Intergranular Corrosion of a newly developed lean duplex stainless steel LDX 2101显示文摘 | DENG Bo JIANG Yiming SUN Tao XU Juliang GAO Juan ZHANG Lihua ZHANG Wei LI Jin | | Submitted to Corrosion0，，： | 1 |
| 7 | Risk analysis for drought hazard in China : a case study in Huaibei Plain 显示文摘 | Yuan Xiaochen Zhou Yuliang Jin Juliang | | Natural Hazards0，67，： | 1 |
| 8 | Forewarning of sustainable utilization of regional water resources: a model based on BP neural network and set pair analysis显示文摘 | Jin Juliang Wei Yiming Zou Lele | 2012 | Natural Hazards2012，62，1： | 1 |
| 9 | Effect of aging on the corrosion resistance of 2101 lean duplex stainless steel显示文摘 | Lihua Zhang Yiming Jiang Bo Deng Wei Zhang Juliang Xu Jin Li | 2009 | Materials Characterization2009，，12： | 1 |
| 10 | Application of the modified electrochemical potentiodynamic reactivation method to detect susceptibility to intergranular corrosion of a newly developed lean duplex stainless steel LDX2101显示文摘 | Bo Deng Yiming Jiang Juliang Xu Tao Sun Juan Gao Lihua Zhang Wei Zhang Jin Li | 2009 | Corrosion Science2009，，3： | 1 |
| 11 | Prediction of inflow at Three Gorges Dam in Yangtze River with wavelet network model 显示文摘 | WANG Wensheng JIN Juliang LI Yueqing | 2009 | Water Resource Management2009，23，： | 1 |
| 12 | Flood routing model incorporating intensive streambed infiltration显示文摘Flood routing models are critical to flood forecasting and confluence calculations. In the streams that dry up and disconnect from groundwater, the streambed infiltration is intensive and has a significant effect on flood wave movement. Streambed infiltration should be considered in flood routing. A flood routing model incorporating intensive streambed infiltration is proposed. In the model a streambed infiltration simulation method based on soil infiltration theory is developed. In this method the Horton equation is used to calculate infiltration capacity. A trial-and-error method is developed to calculate infiltration rate and determine whether the flood wave can travel downstream. A formula is derived to calculate infiltration flow per unit length. The Muskingum-Cunge method with streambed infiltration flow as lateral outflow is used for flood routing. The proposed model is applied to the stream from the downstream of the Yuecheng Reservoir to the Caixiaozhuang Hydrometric Station in the Zhangwei River of the Haihe River Basin. Simulation results show that the accuracy of the model is high, and the infiltration simulation method can represent infiltration processes well. The proposed model is simple and practical for flood simulation and forecasting, and can be used in river confluence calculations in a rainfall-runoff model for arid and semiarid regions. | CHENG Liang WANG ZongZhi HU SiYi WANG YinTang JIN JuLiang ZHOU YuLiang | 2015 | Science China Earth Sciences2015，58，5： | 1 |
| 13 | Potentiostatic Electrochemical Noise Analysis of 2101 Lean Duplex Stainless Steel in 1mol/L NaCl显示文摘The critical pitting temperature (CPT) of 2101 lean duplex stainless steel (DSS) in 1 mol/L NaCl was investigated.Potentiostatic electrochemical noise (EN) technique coupled with scanning electron microscopy (SEM) was used to study the corrosion process of 2101 DSS at different temperatures (15,25,28,and 35 C) from below CPT to above CPT.The EN data were analyzed by wavelet technique based on orthogonal db4 wavelet.The results showed that,the patterns of current noises were different at different temperatures.The characteristics of energy distribution plot (EDP) obtained from wavelet analysis technique can be used as 'fingerprints' of EN signal and can be used to interpret the corrosion process.With increasing solution temperature,the maximum relative energy defined in EDP changed from the region of crystal series coefficients with smaller scales through middle scales to larger scales,which indicated the process of initiation,propagation and growth into stable pitting of metastable pitting.The results were well confirmed by the corresponding morphologies. | Juliang Xu Tao Sun Lihua Zhang Jin Li Yiming Jiang | 2012 | Journal of Materials Science & Technology2012，28，5： | 1 |
| 14 | Information entropy based fuzzy pattern recognition model for basin ecoenviron mental quality evaluation显示文摘 | Jin Juliang Cheng Jilin Wei Yiming | 2006 | Journal of Sichuan University:Engineering Science Edition2006，38，1： | 1 |
| 15 | Risk evaluation of natural disasters based on connection function显示文摘There are many uncertain factors,such as stochastic,fuzzy and gray information in the risk analysis on natural hazard.The set pair analysis(SPA)deals effectively with the various uncertain factors contributing to evaluation of the risk level of natural disasters.The evaluation indicators and standards of natural disasters risk are analyzed by identity-discrepancycontrary(IDC).The result,the connection numbers,still has uncertainty information.Thus,yielding the risk evaluation model of natural disasters based on connection function,which construct a set pair relation between the indicators of connection numbers and comprehensive evaluation standards,and describe uncertainty of the connection numbers by using connection function.The study showed that the proposed model takes into account only the uncertainty of risk evaluation indicator identification on natural disasters,also the uncertainty of result connection numbers.This approach gives full consideration to the uncertainty of systematic evaluation process along with the actual meaning of comprehensive evaluation functions.Therefore,this means it is able to reduce the uncertainty of final evaluation results and improve the accuracy and reasonability of evaluation results.This model is capable of reflecting actual situation of the risk evaluation on natural disaster affected by various uncertain factors and has a promotional value in the natural disaster risk assessment. | Zhengwei Pan Juliang Jin Li Liu Xiaowei Liu | 2013 | Chinese Journal of Population,Resources and Environment2013，11，2： | 1 |
| 16 | Risk evaluation of Chinas natural disaster systems:an approach based on tri= angular fuzzy numbers and stochastic simulation显示文摘 | Jin Juliang Wei Yiming Zou Lele | 2012 | Na- ture Hazards2012，62，1： | 1 |
| 17 | Inference of Reference Conditions for Nutrient Concentrations of Chaohu Lake Based on Model Extrapolation显示文摘In the mid-eastern China,there are few or no lakes which are in the absence of anthropogenic disturbances,or their sediments remain undisturbed.As a result,the reference lakes distribution and paleolimnological reconstruction approaches usually are inappropriate to estimate lake reference conditions for nutrients.This yields the necessity of using the extrapolation methods to estimate the lake reference conditions for nutrients within those regions.The lake reference conditions for nutrients could be inferred inversely from the law of mass conservation,current lake nutrient concentration,and the loadings from watershed.Considering the scarcity of hydrological and water quality data associated with lakes and watersheds in China,as well as the low requirement of the watershed nutrient loadings models for these data,the soil conservation service(SCS) distributed hydrological model and the universal soil loss equation(USLE) were applied.The SCS model simulates the runoff process of the watershed,thereby calculating dissolved nutrients annually.The USLE estimates the soil erosion and particulate nutrients annually in a watershed.Then,with the loadings from atmospheric deposition and point source,the previous annual average nutrient concentrations could be acquired given the current nutrient concentrations in a lake.Therefore,the nutrient reference conditions minimally impacted by human activities could be estimated.Based on the proposed model,the reference conditions for total nitrogen and total phosphorus of Chaohu Lake,Anhui Province,China are 0.031 mg/L and 0.640 mg/L,respectively.The proposed reference conditions estimation model is of clear physical concept,and less data required.Thus,the proposed approach can be used in other lakes with similar circumstances. | ZHOU Yuliang JIN Juliang LIU Li ZHANG Libing He Jun WANG Zhesun | 2013 | Chinese Geographical Science2013，23，1： | 0 |
| 18 | Assessment of Agricultural Drought Vulnerability Based on Crop Growth Stages:A Case Study of Huaibei Plain,China显示文摘Climate change can lead to and intensify drought disasters.Quantifying the vulnerability of disaster-affected elements is significant for understanding the mechanisms that transform drought intensity into eventual loss.This study proposed a growth-stage-based drought vulnerability index(GDVI)of soybean using meteorological,groundwater,land use,and field experiment data and crop growth model simulation.The CROPGRO-Soybean model was used to simulate crop growth and water deficit.Four growth stages were considered since the sensitivity of soybean to drought is strictly related to the growth stage.The GDVI was applied to the Huaibei Plain,Anhui Province,China,with the goal of quantifying the spatiotemporal characteristics of soybean drought vulnerability in typical years and growth stages.The results show that:(1)The sensitivity of leaf-related parameters exceeded that of other parameters during the vegetative growth stage,whereas the top weight and grain yield showed a higher sensitivity in the reproductive growth stage;(2)A semi-logarithmic law can describe the relationship between the drought sensitivity indicators and the GDVI during the four growth stages.The pod-filling phase is the most vulnerable stage for water deficit and with the highest loss upper limit(over 70%);(3)The 2001 and 2002 seasons were the driest time during 1997-2006.Fuyang and Huainan Cities were more vulnerable to drought than other regions on the Huaibei Plain in 2001,while Huaibei and Suzhou Cities were the most susceptible areas in 2002.The results could provide effective decision support for the categorization of areas vulnerable to droughts. | Yanqi Wei Juliang Jin Haichao Li Yuliang Zhou Yi Cui Nii Amarquaye Commey Yuliang Zhang Shangming Jiang | 2023 | International Journal of Disaster Risk Science2023，14，2： | 0 |
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