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Inference of Reference Conditions for Nutrient Concentrations of Chaohu Lake Based on Model Extrapolation

Chinese Geographical Science 2013年第1期23卷 35-48页

作者： ZHOU Yuliang jin juliang LIU Li ZHANG Libing He Jun WANG Zhesun College of Civil Engineering Hefei University of Technology Institute of Water Resources and Environmental Systems Engineering Hefei University of Technology

In the mid-eastern China,there are few or no lakes which are in the absence of anthropogenic disturbances,or their sediments remain *** a result,the reference lakes distribution and paleolimnological reconstruction approaches usually are inappropriate to estimate lake reference conditions for *** yields the necessity of using the extrapolation methods to estimate the lake reference conditions for nutrients within those *** lake reference conditions for nutrients could be inferred inversely from the law of mass conservation,current lake nutrient concentration,and the loadings from *** 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 *** SCS model simulates the runoff process of the watershed,thereby calculating dissolved nutrients *** USLE estimates the soil erosion and particulate nutrients annually in a ***,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 ***,the nutrient reference conditions minimally impacted by human activities could be *** 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,*** proposed reference conditions estimation model is of clear physical concept,and less data ***,the proposed approach can be used in other lakes with similar circumstances.

关键词： reference conditions soil conservation service universal soil loss equation total phosphorus total nitrogen Chaohu Lake

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Risk evaluation of natural disasters based on connection function

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Chinese Journal of Population,Resources and Environment 2013年第2期11卷 118-124页

作者： Zhengwei Pan juliang jin Li Liu Xiaowei Liu School of Civil and Environmental Engineering Anhui Xinhua University School of Civil Engineering Hefei University of Technology School of Environment Beijing Normal University

There are many uncertain factors,such as stochastic,fuzzy and gray information in the risk analysis on natural *** set pair analysis(SPA)deals effectively with the various uncertain factors contributing to evaluation of the risk level of natural *** evaluation indicators and standards of natural disasters risk are analyzed by identity-discrepancycontrary(IDC).The result,the connection numbers,still has uncertainty ***,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 *** 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 *** approach gives full consideration to the uncertainty of systematic evaluation process along with the actual meaning of comprehensive evaluation ***,this means it is able to reduce the uncertainty of final evaluation results and improve the accuracy and reasonability of evaluation *** 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.

关键词： set pair analysis connection function natural disaster risk level system comprehensive evaluation

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An Improved Markov Chain Model Based on Autocorrelation and Entropy Techniques and Its Application to State Prediction of Water Resources

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Chinese Geographical Science 2011年第2期21卷 176-184页

作者： ZHOU Ping ZHOU Yuliang jin juliang LIU Li WANG Zongzhi CHENG Liang ZHANG Libing College of Hydrology and Water Resources Hohai University Nanjing 210098 China College of Civil Engineering Hefei University of Technology Hefei 230009 China State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering Nanjing Hydraulic Research Institute Nanjing 210029 China

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.

关键词： improved Markov chain model autocorrelation entropy annual precipitation annual runoff genetic algorithm

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A new approach to water resources system assessment——set pair analysis method

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Science China(Technological Sciences) 2009年第9期52卷 3017-3023页

作者： WANG WenSheng jin juliang DING jing LI YueQing State Key Laboratory of Hydraulics and Mountain River Engineering Sichuan UniversityChengdu 610065China Chengdu Institute of Plateau Meteorology Chengdu 610072China School of Civil Engineering Hefei University of TechnologyHefei 230009China

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.

关键词： water resources assessment set pair analysis connection degree

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Assessment of Agricultural Drought Vulnerability Based on Crop Growth Stages:A Case Study of Huaibei Plain,China

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International Journal of Disaster Risk Science 2023年第2期14卷 209-222页

作者： Yanqi Wei juliang jin Haichao Li Yuliang Zhou Yi Cui Nii Amarquaye Commey Yuliang Zhang Shangming Jiang School of Energy and Power Engineering Xihua UniversityChengdu610039China School of Civil Engineering Hefei University of TechnologyHefei230009China Institute of Water Resources and Environmental Systems Engineering Hefei University of TechnologyHefei230009China State Key Laboratory of Hydroscience and Engineering Department of Hydraulic EngineeringTsinghua UniversityBeijing100084China Interdisciplinary Centre for River Basin Environment University of YamanashiKofu400-8510Japan Key Laboratory of Water Conservancy and Water Resources of Anhui Province Water Resources Research Institute of Anhui Province and Huaihe River CommissionMinistry of Water ResourcesHefei230088China

Climate change can lead to and intensify drought *** the vulnerability of disaster-affected elements is significant for understanding the mechanisms that transform drought intensity into eventual *** 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 *** CROPGRO-Soybean model was used to simulate crop growth and water *** growth stages were considered since the sensitivity of soybean to drought is strictly related to the growth *** 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 *** 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 *** 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 *** 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 *** results could provide effective decision support for the categorization of areas vulnerable to droughts.

关键词： Agricultural drought Drought vulnerability Huaibei plain Soybean growth stages

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Flood routing model incorporating intensive streambed infiltration

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Science China Earth Sciences 2015年第2期58卷 718-726页

作者： CHENG Liang WANG ZongZhi HU SiYi WANG YinTang jin juliang ZHOU YuLiang State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering Nanjing Hydraulic Research Institute School of Civil Engineering Hefei University of Technology

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.

关键词： flood simulation flood forecasting flood routing streambed inf'dtration Muskingum-Cunge method Haihe River Basin

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A Genetic Fuzzy Analytical Hierarchy Process Based Projection Pursuit Method for Selecting Schemes of Water Transportation Projects

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Journal of Ocean University of China 2006年第4期5卷 289-294页

作者： jin juliang LI Lei WANG Wensheng ZHANG Ming College of Civil Engineering Hefei University of Technology Hefei 230009 P. R. China College of Hydropower Engineering Sichuan University Chengdu 610065 P. R. China

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 rained is both stable and accurate; preference relation matrix A it produces is relatively small, and the result obtherefore FPRM-PP can be widely used in the optimal selection of different multi-factor decision-making schemes.

关键词： water transportation project optimal selection of schemes fuzzy analytical hierarchy process projection pursuit genetic algorithm

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Comprehensive Assessment of Seawater Quality Based on an Improved Attribute Recognition Model

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Journal of Ocean University of China 2006年第4期5卷 300-304页

作者： ZHANG Libing CHENG Jilin jin juliang JIANG Xiaohong College of Civil Engineering Hefei University of Technology Hefei 230009 P. R. China College of Hydraulic Engineering Yangzhou University Yangzhou 225009 P. R. China

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.

关键词： comprehensive assessment seawater quality improved attribute recognition model

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A High Precision Comprehensive Evaluation Method for Flood Disaster Loss Based on Improved Genetic Programming

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Journal of Ocean University of China 2006年第4期5卷 322-326页

作者： ZHOU Yuliang LU Guihua jin juliang TONG Fang ZHOU Ping College of Water Resources and Environment Hohai University Nanjing 210098 P.R. China College of Civil Engineering Hefei University of Technology Hefei 230009 P.R. China

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.

关键词： automatic modeling evaluation of flood disaster loss genetic algorithm genetic programming

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基于熵和FAHP的水资源可持续利用模糊综合评价模型

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水力发电学报 2007年第4期26卷 22-28页

作者：金菊良洪天求王文圣合肥工业大学土木建筑工程学院合肥230009 合肥工业大学资源与环境工程学院合肥230009 四川大学水电学院成都610065

水资源可持续利用综合评价是区域可持续发展综合分析与评价的核心技术之一,其难点是如何有效处理评价过程中存在的主观随意性、模糊性和随机性等不确定性问题。为此,基于综合集成的方法论,提出用基于遗传算法的改进模糊层次分析法(FAHP... 详细信息

水资源可持续利用综合评价是区域可持续发展综合分析与评价的核心技术之一,其难点是如何有效处理评价过程中存在的主观随意性、模糊性和随机性等不确定性问题。为此,基于综合集成的方法论,提出用基于遗传算法的改进模糊层次分析法(FAHP)确定各评价指标的权重,用理想区间法和相对隶属度理论处理不同评价样本隶属各评价标准区间的模糊性,用最大熵原理处理评价样本隶属各评价标准区间的随机性,通过上述方法的集成,建立了基于熵和FAHP的水资源可持续利用模糊综合评价新模型(EFAHP-FCEM),并用加速遗传算法优化该模型参数。EFAHP-FCEM在汉中盆地水资源可持续利用的应用结果表明:EFAHP-FCEM直接由评价指标模糊互补判断矩阵和评价标准样本数据驱动,把利用全部隶属度值信息进行计算的可持续利用相对等级值作为评价结果,可避免应用最大隶属度原则进行判断所可能导致的失真,提高了评价精度;EFAHP-FCEM是一种非参数评价方法,其数学物理概念明确,方法直观、通用,可在具有评价标准的各种资源环境综合评价中推广应用。

关键词：水资源保护水资源可持续利用综合评价模型信息熵模糊层次分析法综合集成方法论遗传算法

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