多级模糊模式识别模型在地质环境质量评价中的应用

应用多级模糊模式识别模型进行地质环境质量评价,克服了最大隶属度原则所不适用的地方,而且以相对隶属度、隶属函数为基础理论,使隶属度、隶属函数的计算更容易.建立环境质量评价模型,并应用于陕西省略阳县地质环境质量综合评价中,应用结果表明,该方法合理、可行.     

Assessing seawater quality with a variable fuzzy recognition model

With the rapid development of the marine economy industry, human exploitation of marine resources is increasing, which is contributing to the growing trend of eutrophication and frequent occurrence of red tide. Accordingly, investigations of seawater quality have attracted a great deal of attention. This study was conducted to construct a seawater environmental quality assessment model based on the variable fuzzy recognition model. The uncertainty and ambiguity of the seawater quality assessment were then considered, combining the monitoring values of evaluation indicators with the standard values of seawater quality. Laizhou Bay was subsequently selected for a case study. In this study, the correct variable model for different parameters was obtained according to the linear and nonlinear features of evaluation objects. Application of the variable fuzzy recognition model for Laizhou Bay, water quality evaluation and comparison with performance obtained using other approaches revealed that the generated model is more reliable than traditional methods, can more reasonably determine the water quality of various samples, and is more suitable for evaluation of a multi-index, multi-level, nonlinear marine environment system; accordingly, the generated model will be an effective tool for seawater quality evaluation.     

模糊信息分配法及其在水质评价中的应用

将模糊信息分配方法应用到水质评价中。该方法是从原始数据信息中直接构造系统模型 ,尽可能保留原始数据结构的完整性。它与模糊一、二级近似推论构成一套完整的评价方法。用该方法对西安市地面水水质进行评价 ,结果表明评价结果能较准确地反映水质的实际情况 ,具有一定的应用价值。同时提出一种新的水质分级方法     

Rotifer community structure and assessment of water quality in Yangcheng Lake

Rotifer community structure was investigated in Yangcheng Lake in 2008. Dominant species and species diversity indices were determined and QB/T was used to assess water quality. The annual average density and biomass of the rotifers in Yangcheng Lake was 2 894 ± 1 006 ind./L and 12.47 ± 10.28 mg/L, respectively. The highest densities were observed in the western portion of the lake in March, but the highest biomass occurred in inflowing creeks in September. Within a year of monitoring in Yangcheng Lake, 93 species were identified and the dominant species were found to be Polyarthra trigla, Brachionus angularis, Keratella cochlearis, Keratella valga, Brachionus calyciflorus, and Filinia major. Of the species recorded, 75 were pollution indicator species. Density and biomass exhibited significant positive correlations with water temperature (R = 0.209, P = 0.003; R = 0.446, P = 0.000), but the peak density showed two lags in response to chl a. According to the Jaccard similarity index (SJ), the greatest similarity among dominant species occurred between creeks and the eastern part of the lake. The annual average Shannon-Wiener diversity index H’, Margalef richness index D and Pielou evenness index J were 1.96 ± 0.34, 1.61 ± 0.50 and 0.77 ± 0.10, respectively. In all four areas of Yangcheng Lake, β- mesosaprobic species comprised the largest share of pollution indicator species. These data suggest that Yangcheng Lake is mesosaprobic.     

WATER QUALITY ANALYSIS AND ASSESSMENT OF RIVERS IN JILIN PROVINCE OF CHINA

ＷＡＴＥＲＱＵＡＬＩＴＹＡＮＡＬＹＳＩＳＡＮＤＡＳＳＥＳＳＭＥＮＴＯＦＲＩＶＥＲＳＩＮＪＩＬＩＮＰＲＯＶＩＮＣＥＯＦＣＨＩＮＡ￥ＷａｎｇＪｕｎ（王俊）ＺｈａｏＢａｏｚｈｏｎｇ（赵宝中）（ＤｅｐｏｒｔｍｅｎｔｏｆＥｎｖｉｒｏｎｍｅｎｔＳｃｉｅｎｃｅ，Ｎ...     

DYNAMIC VARIATIONS OF WATER QUALITY IN TAIHU LAKE AND MULTIVARIATE ANALYSIS OF ITS INFLUENTIAL FACTORS

ＤＹＮＡＭＩＣ　ＶＡＲＩＡＴＩＯＮＳ　ＯＦ　ＷＡＴＥＲ　ＱＵＡＬＩＴＹ　ＩＮ　ＴＡＩＨＵ　ＬＡＫＥ　ＡＮＤ　ＭＵＬＴＩＶＡＲＩＡＴＥ　ＡＮＡＬＹＳＩＳ　ＯＦ　ＩＴＳ　ＩＮＦＬＵＥＮＴＩＡＬ　ＦＡＣＴＯＲＳＤＹＮＡＭＩＣＶＡＲＩＡＴＩＯＮＳＯＦＷＡＴＥ...     

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

1IntroductionOpti mal selection of schemes of water transportationprojects is a process of choosing a relatively opti malscheme froma number of schemes of water transporta-tion programming and management projects,on thebasis of the principle such that bot…     

Water quality, nutrient budget, and pollutant loads in Chinese mitten crab (Eriocheir sinensis) farms around East Taihu Lake

To understand the factors causing frequent outbreaks of harmful algae blooms in the Taihu Lake, China, we studied water quality and nutrient budget in Chinese mitten crab (Eriocheir sinensis) farm ponds in the eastern part of the lake from November 2007 to December 2009. We estimated the nitrogen (N), phosphorus (P), and chemical oxygen demand (COD) loads. Materials input and output ponds, water exchange, and applied management practices of 838.5-hm2 crab ponds were surveyed using questionnaires. Water quality of 12 ponds, which were located no more than 2 km from East Taihu Lake, were monitored. The results show that water quality in the crab ponds was better than reference data. Feeds, including corn seed, commercial feed, trash fish, and gastropod, were the major sources of N and P input in the crab ponds, contributing 88.7% and 94.9%, respectively. In total, 60.5% of N and 37.3% of P were sequestered by macrophytes, and only 15.7% and 8.5% of them were discharged as effluent. The net loads of N and P in effluent were 16.43 kg/hm2/cycle and 2.16 kg/hm2/cycle, respectively, while the COD load was -17.88 kg/hm2/cycle. This indicated that crab farming caused minor negative impact on the trophic status of the lake area, which was attenuated by macrophytes. However, wastewater purification is still necessary in crab faming.