A fragment constant QSAR model for evaluating the EC50 values of organic chemicals to Daphnia magna.

The quantitative relationship between the median effective concentration (EC50) of organic chemicals to Daphnia magna and the number of molecular fragments was investigated based on experimental EC50 values for 217 chemicals derived from the literature. A fragment constant model was developed based on a multivariate linear regression between the number of fragments and the logarithmically transformed reciprocal values of EC50. Functional correction factors were introduced into the model. The model was verified using an independent set of randomly selected data. The mean residual of the final model was 0.4 log-units. The robustness of the model was discussed based on the results of three jackknife tests.     

Initial ecological risk assessment of eight selected human pharmaceuticals in Japan.

Eight pharmaceuticals were selected on the basis of their domestic consumption in Japan, the excretion ratio of the parent compound and the frequency of detection in the aquatic environment or wastewater treatment plant effluent. Toxicity tests on these pharmaceuticals were conducted using Japanese medaka (Oryzias latipes), daphnia (Daphnia magna), and green algae (Psuedokirchneriella subcapitata). Predicted no effect concentration (PNEC) was calculated using lethal or effect concentration 50 (LC50 or EC50) values and no effect concentration (NOEC) obtained in the toxicity tests for these compounds. Predicted environmental concentration (PEC) was also calculated from annual consumption, the excretion rate of the parent compound, and removal rate in the preliminary batch activated sludge treatment performed in this study. Maximum concentrations found in the aquatic environment or sewage effluent in Japan or foreign countries were also used for another calculation of PEC. Initial risk assessment on the selected pharmaceuticals was performed using the PEC/PNEC ratio. The results of initial risk assessment on the eight selected pharmaceuticals suggest neither urgent nor severe concern for the ecological risk of these compounds, but further study needs to be conducted using chronic toxicity tests, including reproduction inhibition and endocrine disruption assessments.     

哈密地区环境中^220Rn子体α潜能浓度所致居民剂量估算

用ＳｔｒａｎｄｅｎＥ．推荐的测量方法对哈密地区环境空气中２２０Ｒｎ子体α潜能浓度测量结果表明，室内、外平均值分别为５６．１和１０．２（×１０－７Ｊ·ｍ－３）。室内外２２０Ｒｎ／２２２Ｒｎ子体α潜能浓度比值分别为０．８４和０３２。２２０Ｒｎ子体所致居民有效剂量当量为２２８μＳｖ·ａ－１（集体有效剂量当量为０．９×０２ｍａｎ·Ｓｖ）。     

荆江分洪区1998年洪水转移调查分析

对荆江分洪区１９９８年洪水期间安全转移的调查表明,叶然有分洪预案,但实际转移时仍出现了相当程度的拥挤与混乱。完善分洪转移的组织与管理,已成为分洪区居民１９９８年转移后关注的焦点,分洪区居民普遍表现出对分洪洪水情不甚了解,通过各种方式开展有关洪水的宣伟,提高区内居民的防洪意识,是荆江分洪区未来防洪减灾的重点工作之一,由于是国家为保护更重要的地区而主动分洪。对分洪区历分洪蒙受的损失给预某种形式的补偿已     

The impact of government subsidy and tax policy on the competitive decision-making of remanufacturing supply chains

In this paper, we consider a two-period competition model of a remanufacturing supply chain consisting of three members: a new product manufacturer, a recycler and a remanufacturer. The manufacturer supplies new products in the first period and the remanufacturer participates in the competition in the second period. We consider three scenarios in the second period: (1) there is no government subsidy in the competition; (2) there is only government subsidy in the competition; (3) there are both government subsidy and tax in the competition. First, we give the optimal decision-making of the manufacturer, the remanufacturer and the government in the three scenarios; second, we analyse changes in the decision-making of the manufacturer and remanufacturer in the three scenarios and compare their results. We analyse the effects of government subsidy and tax and their asymmetric use on manufacturers’ and remanufacturers’ decision-making variables and competitive performance. We also take consumer awareness of environmental protection into account and examine its impact on subjects’ decisions. Lastly, we operate a numerical example to show the results.     

基于GF-1号遥感影像的武汉市及周边湖泊综合营养状态指数反演

湖泊水体富营养化的监测评价是湖泊水资源管理和水环境保护的基础性工作。基于GF-1号WFV遥感影像和综合营养状态指数法,通过82个站点实测数据建立多元线性回归和RBF神经网络模型,对武汉市及其周边地区主要湖泊综合营养状态指数进行了反演。反演的结果显示,武汉市及周边大部分湖泊水域处于轻度富营养和中营养状态,局部湖区为中度富营养状态。验证结果表明:GF-1号WFV多光谱数据用于监测大面积湖群水质变化是可行的;两种模型都可以建立实测数据与遥感信息的函数关系,根据函数可以反演湖泊水质综合营养状态指数,进而实现大面积湖泊水质动态监测;而RBF神经网络模型预测的R2为0.742 3,均方根误差为3.72,其反演精度更高,更适合于监测内陆湖泊水质变化。     

新疆麻黄资源的开发利用与保护

介绍了新疆麻黄资源的种类、分布及开发利用现状,指出新疆野生麻黄分布总面积约167hm2×104hm2,可利用量仅为蕴藏量的30%。针对目前麻黄资源严重破坏的现状,提出了今后合理开发利用和保护的具体措施。     

九五期间乌鲁木齐市交通噪声的控制措施及效果

在分析交通噪声影响因素的基础上,对乌鲁木齐市近十年控制交通噪声污染的措施和效果进行了探讨。     

Spatial succession modeling of biological communities: a multi-model approach

Strong spatial correlation may exist in the spatial succession of biological communities, and the spatial succession can be mathematically described. It was confirmed by our study on spatial succession of both plant and arthropod communities along a linear transect of natural grassland. Both auto-correlation and cross-correlation analyses revealed that the succession of plant and arthropod communities exhibited a significant spatial correlation, and the spatial correlation for plant community succession was stronger than arthropod community succession. Theoretically it should be reasonable to infer a site's community composition from the last site in the linear transect. An artificial neural network for state space modeling (ANNSSM) was developed in present study. An algorithm (i.e., Importance Detection Method (IDM)) for determining the relative importance of input variables was proposed. The relative importance for plant families Gramineae, Compositae and Leguminosae, and arthropod orders Homoptera, Diptera and Orthoptera, were detected and analyzed using IDM. ANNSSM performed better than multivariate linear regression and ordinary differential equation, while ordinary differential equation exhibited the worst performance in the simulation and prediction of spatial succession of biological communities. A state transition probability model (STPM) was proposed to simulate the state transition process of biological communities. STPM performed better than multinomial logistic regression in the state transition modeling. We suggested a novel multi-model framework, i.e., the joint use of ANNSSM and STPM, to predict the spatial succession of biological communities. In this framework, ANNSSM and STPM can be separately used to simulate the continuous and discrete dynamics.