Advanced Grey Relational Analysis Method and Its Application in Water Quality Evaluation of the Lake-type Wetland

Grey relational analysis is one of the most important methods in water quality evaluation system. As the traditional grey relational analysis has the defects of homogenization in static resolution ratio, small discrimination in correlation degree, and low precision in the weight of impact factors, this paper proposed an advanced grey relational analysis that used dynamic resolution ratio and comprehensive evaluation indicators. This method has been applied in the MIS software which monitors and evaluates the water quality in the lakes of the Four-Lake Basin. Compared with the traditional grey relational analysis and the cluster-factor analysis, this method could effectively enhance the reliability and accuracy of the results.

Water Quality Evaluation and Analysis on the Causes of Pollution for Groundwater Sources in Yantai, China

Based on the investigation for the 14 groundwater sources, the water quality of the groundwater sources had been analyzed, using the evaluation method of the combination of inorganic and organic index instead of the traditional method which was only based on inorganic index. The results showed that the quality of 12 groundwater sources satisfied class III standard of groundwater quality and other two exceeded class III standard. There were one groundwater source, whose water quality reached class 1 standard, and five groundwater sources, whose water quality reached class II standard. There were seven groundwater sources, in which the fluorine, an organic pollutant, was detected. The results showed that the groundwater resources in Yantai City were less polluted and the main pollutant in groundwater was nitrate. According to the analytical data and the environmental conditions of groundwater sources, the conclusion was drawn that the agriculture and rural non-point pollution were the main reasons of groundwater pollution.

Comprehensive Evaluation on the Irrigation Water Quality in Turpan City Based on Matter Element Analysis Method

Matter-element analysis method was used to construct the comprehensive matter-element model for the evaluation of the quality of various kinds of irrigation water in Turpan City to evaluate the quality of irrigation water（such as river water,spring water, Karez well water, pumped well water） in Turpan City, Xinjiang. The results showed that the quality of the irrigation water was the best in October,which was in Grade I or Grade 2; in May, the quality of some of the irrigation water became poorer to Grade II, which was easy to soil salinization; in March, the detected qualities of the water samples water from the Meiyaogou basin were all in Grade IV, which was not suitable for farmland irrigation. The comparison on the evaluation results of matter-element analysis and fuzzy evaluation method showed that the results of the 2 methods were almost consistent with each other, and showed good uniformity.

Evaluation, prediction, and protection of water quality in Danjiangkou Reservoir, China

The water quality in the Danjiangkou Reservoir has attracted considerable attention from the Chinese public and government since the announcement of the Middle Route of the South to North Water Diversion Project （SNWDP）, which commenced transferring water in 2014. Integrated research on the evaluation, prediction, and protection of water quality in the Danjiangkou Reservoir was carried out in this study in order to improve environmental management. Based on 120 water samples, wherein 17 water quality indices were measured at 20 monitoring sites, a single factor evaluation method was used to evaluate the current status of water quality. The results show that the main indices influencing the water quality in the Danjiangkou Reservoir are total phosphorus （TP）, permanganate index （CODM,）, dissolved oxygen （DO）, and five-day biochemical oxygen demand （BODs）, and the concentrations of TP, BODs, ammonia nitrogen （NH3--N）, CODM,, DO, and anionic surfactant （Surfa） do not reach the specified standard levels in the tributaries. Seasonal Mann--Kendall tests indicated that the CODMn concentration shows a highly significant increasing trend, and the TP concentration shows a significant increasing trend in the Danjiangkou Reservoir. The distribution of the main water quality indices in the Danjiangkou Reservoir was predicted using a two-dimensional water quality numerical model, and showed that the sphere of influence from the tributaries can spread across half of the Han Reservoir if the pollutants are not controlled. Cluster analysis （CA） results suggest that the Shending River is heavily polluted, that the Jianghe, Sihe, and Jianhe rivers are moderately polluted, and that they should be the focus of environmental remediation.

Fuzzy Synthetic Evaluation of Water Quality of Naoli River Using Parameter Correlation Analysis

In order to improve the effectiveness of Fuzzy Synthetic Evaluation (FSE) models, a Parameter Correlation Analysis (PCA) was introduced into the FSE and a case study was carried out in the Naoli River in the Sanjiang Plain, Northeast China. The basic principle of the PCA is that the pairs of parameters which are highly correlated and linear with each other would contribute the same information to an assessment and one of them should be eliminated. The method of the PCA is that a correlation relationship among candidate parameters is examined before the FSE. If there is an apparent nonlinear or curvilinear relationship between two parameters, then both will be retained; if the correlation is significant (p<0.01), and the scatter plot suggests a linear relationship, then one of them will be deleted. However, which one will be deleted? For solving this problem, a sensitivity test was conducted and the higher sensitivity parameters remained. The results indicate that the original data should be preprocessed through the PCA for redundancy and variability. The study shows that introducing the PCA into the FSE can simplify the FSE calculation process greatly, while the results have not been changed much.

Spatial quality evaluation for drinking water based on GIS and ant colony clustering algorithm

To develop a better approach for spatial evaluation of drinking water quality, an intelligent evaluation method integrating a geographical information system(GIS) and an ant colony clustering algorithm(ACCA) was used. Drinking water samples from 29 wells in Zhenping County, China, were collected and analyzed. 35 parameters on water quality were selected, such as chloride concentration, sulphate concentration, total hardness, nitrate concentration, fluoride concentration, turbidity, pH, chromium concentration, COD, bacterium amount, total coliforms and color. The best spatial interpolation methods for the 35 parameters were found and selected from all types of interpolation methods in GIS environment according to the minimum cross-validation errors. The ACCA was improved through three strategies, namely mixed distance function, average similitude degree and probability conversion functions. Then, the ACCA was carried out to obtain different water quality grades in the GIS environment. In the end, the result from the ACCA was compared with those from the competitive Hopfield neural network(CHNN) to validate the feasibility and effectiveness of the ACCA according to three evaluation indexes, which are stochastic sampling method, pixel amount and convergence speed. It is shown that the spatial water quality grades obtained from the ACCA were more effective, accurate and intelligent than those obtained from the CHNN.

Evaluation of Farmland Drainage Water Quality by Fuzzy–Gray Combination Method

The complex relationships between indicators and water conditions cause fuzzy and gray uncertainties in evaluation of water quality. Compared to conventional single-factor evaluation methods, the combination evaluation method can consider these two uncertainties to produce more objective and reasonable evaluation results. In this paper, we propose a combination evaluation method with two main parts:(1) the use of fuzzy comprehensive evaluation and gray correlation analysis as submodels with which to consider the fuzzy and gray uncertainties and(2) the establishment of a combination model based on minimum bias squares. In addition, using this method, we evaluate the water quality of a ditch in a typical rice–wheat system of Yixing city in the Taihu Lake Basin during three rainfall events. The results show that the ditch water quality is not good and we found the chemical oxygen demand to be the key indicator that affects water quality most significantly. The proposed combination evaluation method is more accurate and practical than single-factor evaluation methods in that it considers the uncertainties of fuzziness and grayness.

Construction and Application of Combined Evaluation Model of Regional Water Quality Plan

[Objective] The aim was to study the construction and application of combined evaluation model of regional water quality plan. [Meth- od] By dint of layer analysis, subjective and objective model of entropy evaluation, the water quality plan in Jinghe was evaluated. Combined evalu- ation model based on information entropy were constructed, and considering the single model evaluation result, the optimal water quality plan was selected. [ Result] The combination weight result suggested that COD amount was the most essential indicator in water quality plan and embodied the importance of water environment protection, which met basic objective of environment protection and social, economic effects. Combined evalu- ation indicated that in the sixteen plans, plan 16 was of highest comprehensive evaluation value, and can be considered as optimum water quality plan. [ Conclusion] Combined evaluation model can effectively list the advantages of each evaluation model and improve the dependability of water quality plan, and provided a new research idea for the optimal evaluation of water pollution control plan.

Water Quality Analysis of Fuping Section of the Shichuan River Based on Different Evaluation Methods

In order to study the water quality of the Shichuan River basin in Fuping,Shaanxi Province,based on improved Nemerow index method,comprehensive pollution index method and principal component analysis method,eight water quality indexes such as pH,dissolved oxygen(DO),total dissolved solids(TDS),COD,total hardness,total phosphorus,total nitrogen and Zn in three monitoring sections of Fuping section of the Shichuan River in Shaanxi Province were detected and analyzed.The results show that the water quality of the surface water in the Shichuan River basin is gradeⅢorⅣwater,that is,the water is slightly polluted and moderately polluted.It is necessary to monitor the water quality after regulation and clarify the main factors causing the water pollution.

Water Quality Evaluation in Tidal River Reaches of Liaohe River Estuary, China Using a Revised QUAL2K Model

Rivers in the Liaohe River Estuary area have been seriously polluted by discharges of wastewater containing petroleum pol- lutants and nutrients. In this paper, The Enhanced Stream Water Quality Model （QUAL2K） and its revised model as well as One-dimensional Tide Mean Model （1D model） were applied to predict and assess the water quality of the tidal fiver reach of the Liaohe River Estuary. Dissolved oxygen （DO）, biochemical oxygen demand （BODs）, ammonia nitrogen （NH3-N） and total phosphorus （TP） were chosen as water quality indices in the two model simulations. The modelled results show that the major reasons for degraded rivers remain petroleum and non-point source pollution. Tidal water also has a critical effect on the variation of water quality. The sensitivity analysis identifies that flow rate, point load and diffuse load are the most sensitive parameters for the four water quality indices in the revised QUAL2K simulation. Uncertainty analysis based on a Monte Carlo simulation gives the probability distribution of the four wa- ter quality indices at two locations （6.50 km and 44.84 km from the river mouth）. The statistical outcomes indicate that the observed data fall within the 90% confidence intervals at all sites measured, and show that the revised QUAL2K gives better results in simulating the water quality of a tidal fiver.

Application of Principal Component Analysis with SPSS in Water Quality Assessment of Shenzhen Eastern Beach

Survey and analysis were conducted on water quality of offshore seas in eastern region of Shenzhen by principal component analysis with SPSS. Then, 8 pollutants indices were then reduced to 5. Based on weighted analysis of principal component weights, comprehensive scores of different monitored stations were com- puted and sequenced in order to make evaluation on sea quality of eastern region of Shenzhen.

Water Quality Evaluation Model Based on Principal Component Analysis and Information Entropy:Application in Jinshui River

水质评价对决策者决定水的使用功效尤为重要。水质综合评价系统中涉及到大量因子与指标,因子之间相互作用,致使水质的评价工作相对困难。主成分分析法可以消除因子间的相关性,因而被广泛应用于水质评价,但其忽略了数据离散程度的问题。熵值法则考虑了数据的离散特点。为更好地进行水质的综合评价,本文提出把主成分分析法和熵值法结合起来确定指标权重的方法,建立了水质评价模型,并采用该模型对郑州市金水河再生水2009年的水质情况进行评价,将评价结果与单独采用主成分分析或熵值法的结果进行了比较。结果表明了该方法的可行性与实用性,能够为非常规水资源利用提供理论依据和决策参考。

基于相对联系数的区域水利高质量发展评价指标体系筛选方法

为综合判断在区域水利高质量发展目标、发展途径、发展条件相互作用下区域水资源-经济社会-生态环境复合系统不断协同优化的系统高质量发展水平状态,构建了由发展目标、发展途径和发展条件3个子系统组成的区域水利高质量发展初步评价指标体系。为定量分析初步评价指标体系的专家咨询信息,根据专家指标排序合理性模糊关系的取值区间特点提出了相对联系数,用相对联系数的平均集对势估计各专家指标排序合理性的权重,进而可得各指标重要性的专家综合排序值,据此筛选初步评价指标体系,构建了基于相对联系数的区域水利高质量发展评价指标体系筛选方法(SM-RCN)。SM-RCN在陕西省的应用结果表明:筛选后的指标体系汇聚了各专家对区域水利高质量发展主要影响指标的综合评判;SM-RCN可克服评价指标体系构建过程缺乏定量分析依据的不足,可识别不同专家、同一专家对不同评价方面的指标排序合理性的程度。该筛选方法在区域水利现代化、水资源空间均衡、水资源承载力等评价指标体系构建过程中具有应用前景。

滕州市浅层地下水质量评价与成因分析

浅层地下水是陆地水资源的重要组成部分,与人类生产生活密切相关。基于生态地球化学调查项目,按照1点/16km^(2)的密度对滕州市浅层地下水进行调查,共采集地下水样品95件,分析Fe、Mn等35项指标。结果表明,研究区浅层地下水质量总体较好,pH、CN^(-)、Cr^(6+)、溶解性总固体等21项指标含量基本符合《地下水质量标准》(GB/T 14848-2017)中Ⅲ类地下水规定的阀值,适用于集中式生活饮用水水源及工农业用水。影响研究区浅层地下水质量的主要因子是Fe和总硬度,由原生地质环境及人类活动引起。研究结果可为研究区经济社会发展和用水安全提供基础性资料和决策依据。

基于集对分析的区域水利高质量发展评价方法

基于发展目标、发展途径、发展条件相作用形成的区域水利高质量发展系统结构和相对联系数的指标体系筛选方法,构建了由59个评价指标、11个发展方面、3个发展子系统组成的区域水利高质量发展评价指标体系;利用专家咨询和遗传层次分析法确定各指标权重,采用集对分析计算指标、方面、子系统和样本4个层次与区域水利高质量发展评价标准集对间的联系数,应用减法集对势判断4个层次区域水利高质量发展状态,建立了基于集对分析的区域水利高质量发展评价方法(SPA-HDEM),并将其应用于陕西省2020年10个地市的水利高质量发展评价中。结果表明:西安水利高质量发展状态处于中等偏较高等级,咸阳、汉中、渭南、安康、宝鸡、榆林均处于中等等级,延安、商洛、铜川均处于较低偏中等等级;非陕南的7个地市的发展条件均不佳,10个地市的发展途径均相对较低;各地市处于反势的指标中,西安有“人均水资源量”等11个、铜川有“防洪堤防达标率”等32个、宝鸡有“水利投资占GDP比重”等16个、咸阳有“人均生活用水量”等14个、渭南有“水资源开发利用率”等19个、延安有“供水模数”等21个、榆林有“供水模数”等22个、汉中有“防洪堤防达标率”等15个、安康有“防洪堤防达标率”等21个、商洛有“人均工资”等25个,重点调控这些反势指标是全省水利高质量发展工作中的重要任务。SPA-HDEM适用性强,在已知评价等级标准的实际区域水利高质量发展评价问题中具有应用前景。

改进的FA-FCE模型在矿井水质评价中的应用

酸性矿井水会对水环境造成严重污染,对遭受污染的矿井水质进行评价是矿山环境保护与治理的重要前提。因此,以贵州省内的酸性矿井水分布区为研究区,采用因子分析(FA)、模糊综合评价法(FCE)和加权平均法,并引入级别特征值构建了FA-FCE水质评价模型,对矿井水质和水环境质量进行综合评价。结果显示,所评价的水样中V类水的占比达到70.37%,水质整体偏向于V类水,各地区的平均级别特征指数均大于2,矿井水水体环境遭受污染的程度较高。相较于传统的评价模型,文中提出的水质评价模型在选取评价指标及权重分配等方面有显著的优势,并综合考虑了所有评价指标在整体评价中的影响,使得评价结果更加科学合理。

萍水河水质空间分布特征及水质评价对比研究

流域水质直接关系到人体健康和生态安全。以萍水河向阳湖至何雁桥段为研究对象,分析其水质空间特征,综合4种方法进行水质评价,进一步利用多元统计和级别差方法对比分析水质评价结果。结果表明:1)COD、NH_(3)-N、TP和TN的最高浓度位于赤山桥处;上游(向阳湖-桥头村)和下游(赤山桥-何雁桥)总体水质较好,部分采样点TN、Fe和Mn轻度超标,污染程度明显弱于中游(桥头村-赤山桥)。2)最差水质级别均为Ⅴ类或劣Ⅴ类水,污染程度属严重污染及以上;单因子评价法确定总氮(TN)为首要污染指标;主成分分析法确定2个主成分,可解释为营养盐污染指标和地质沉积环境指标。3)4种方法两两之间呈显著正相关,相关系数为0.937~0.994,但水质级别表现出明显的差异性;级差法结果表明,3种综合水质评价方法的水质级别顺序为:内梅罗污染指数法<综合污染指数法<主成分分析法。研究成果可为流域水质评价工作和研究提供参考,同时为流域水资源开发利用和水环境保护及综合治理提供科学依据。

基于主成分分析及水质标识指数法的高邮湖水质评价

为查明江苏境内高邮湖及其周边出入湖河流水质分布特征,采用SPSS软件对湖区及周边25个水质样品监测数据(2020年8月)进行主成分分析,并采用水质标识指数法进行定性和定量评价。主成分分析将7个水质指标综合为3个主成分进行解释,解释率为75.62%,控制指标为总磷、氨氮、总氮和F^(-)。单因子水质标识指数法将水质划分为Ⅳ类、Ⅴ类,综合指数评价水质均未超Ⅲ类,指数大小排序较为一致。分析结果表明:超标严重的指标(总磷、总氮)易掩盖其他水质指标信息,对水质类别判定影响较大;主成分分析法与水质标识指数法对主要污染指标的评价结论基本吻合,点位污染指数次序一致性较好;水质污染程度整体表现为入湖河流水系>出湖河流水系>高邮湖湖体,说明高邮湖入湖水系是湖区水质污染的重要因素。两种评价方法相结合,既能筛选出水质污染指标,又能在水质优劣排序基础上填补水质类别信息,使评价结果更加详实、可信。

神南矿区水质特征及水环境保护研究

为保护矿区水环境质量,在神南矿区进行水样采集检测,运用描述性统计等方法对研究区水环境现状进行研究并分析其控制因素,以此提出矿区水环境保护措施。研究结果表明,神南矿区水环境总体呈碱性,地表水与地下水化学类型主要为HCO_(3)·SO_(4)-Ca,老空水则以SO_(4)·HCO_(3)-Na·Mg为主;地表水水质较差不宜饮用,地下水水质整体较好,老空水水质极差,大都不宜灌溉;地表水、地下水环境主要遭到生活污水的影响,同时也受农业活动威胁,老空水环境则受到采矿活动的破坏。

熵权模糊改进法在宁夏黄河水质评价中的应用

为了解宁夏境内黄河流域的水质状况,选取银古公路桥、平罗黄河大桥、中卫香山湖、吴忠金沙湾、固原沟圈5个监测断面在2021年4月、6月、8月、12月4个时期的溶解氧、高锰酸盐指数、氨氮、总磷、总氮5项评价指标,共获得80组水样。针对熵权模糊评价法在权重趋于1时其微小变化会引起熵权成倍变化的病态问题和由于最大隶属度原则不能普遍适用而导致评价失效的问题,提出了一种熵权模糊改进的评价方法,通过改进熵权法确定权重和加权等级,建立改进的模糊综合评价模型,对水质样品进行水质分析和综合评价。结果表明,在权重分配方面,相比于隶属度法和传统的熵值法,改进熵权法分配的权重更为合理;在水质评价方面,加权等级法评定出的结果更符合研究区域的真实水质状况;宁夏境内黄河流域Ⅰ类和Ⅱ类水质占比超过90%,水质状况良好,5个断面4个时期的水质综合评价结果显示,12月份的水质最优,Ⅰ类水质占比85%;对水质的时空分析显示氨氮为全局性污染因子,溶解氧为区域性污染因子。改进的模糊综合评价模型对宁夏黄河水质的评价结果更为客观合理。