Allelopathic potential of oil seed crops in production of crops: a review

Agricultural production enhancement has been realized by more consumption of fossil energy such as fertilizer and agrochemicals. However, the production provides the present human with sufficient and diversified commodities, but at the same time, deprives in some extent the resources from the future human as well. In the other hand, it is known that synthetic herbicides face worldwide threats to human’s health and environment as well. Therefore, it is a great challenge for agricultural sustainable development. The current review has been focussed on various oilseed crop species which launch efficient allelopathic intervention, either with weeds or other crops. Crop allelopathic properties can make one species more persistent to a native species. Therefore, these crops are potentially harmful to both naturalized as well as agricultural settings. On the other side, allelopathic crops provide strong potential for the development of cultivars that are more highly weed suppressive in managed settings. It is possible to utilize companion plants that have no deleterious effect on neighbor crops and can be included in intercropping system, thus, a mean of contributing to agricultural sustainable development. In mixed culture, replacement method, wherein differing densities of a neighbor species are planted, has been used to study phytotoxic/competitive effects. So, to use alternative ways for weed suppression has become very crucial. Allelochemicals have the ability to create eco-friendly products for weed management, which is beneficial for agricultural sustainable development. Our present study assessed the potential of four oilseed crops for allelopathy on other crops and associated weeds.     

二壬基萘磺酸反胶团萃取模拟废水中的铅

以二壬基萘磺酸（DNNSA）反胶团煤油溶液萃取模拟含铅废水中的铅。在萃取前水相中铅离子浓度为3×10-4 mol/L、DNNSA浓度为0.010 mol/L、油水比为1∶20、模拟含铅废水pH为6、萃取温度为303 K、萃取时间为40 min的条件下,萃取后水相中铅离子浓度为0.845×10-4 mol/L,有机相中铅离子浓度为4.517×10-3 mol/L,铅萃取率为71.83%。DNNSA反胶团萃取铅离子萃取容量为1 188.62 mg/g,热力学焓变为2.595 kJ/mol。     

Investigation on pretreatment of centrifugal mother liquid produced in the production of polyvinyl chloride by air-Fenton technique

Centrifugal mother liquid (CML) is one of the main sources of wastewater produced during the production of polyvinyl chloride in chlor-alkali industry. CML is a typical poorly biodegradable organic wastewater, containing many kinds of refractory pollutants. Specifically, it contains dissolved refractory polymers, especially polyvinyl alcohol (PVA), which can pass though the biotreatment processes and clog the membranes used for further treatment. In this study, to ensure the CML applicable to biotreatment and membrane treatment, a novel efficient and mild technique, air-Fenton treatment, was employed as a pretreatment technique to improve biodegradability of the CML and to break down the polymers in the CML. Firstly, the technique was optimized for the CML treatment by optimizing the main parameters, including the dosage of ferrous sulfate, initial pH of the wastewater, [H₂O₂]/[Fe²⁺], aeration rate, reaction time, and temperature, based on removal efficiency of COD and PVA from the CML. Then, the optimized technique was tested and evaluated. The results indicated that under the optimized conditions, the air-Fenton treatment could remove 66, 98, and 55 % of the COD, PVA, and TOC, respectively, from the CML. After the treatment, biodegradability of the wastewater increased significantly (BOD/COD increased from 0.31 to 0.68), and almost all of the PVA polymers were removed or broken down. Meanwhile, concentration of the remaining iron ions, which were added during the treatment, was also quite low (only 2.9 mg/L). Furthermore, most of the suspended materials and ammonia nitrogen, and some of the phosphorus in the wastewater were removed simultaneously.     

Large-scale utilization of water hyacinth for nutrient removal in Lake Dianchi in China: The effects on the water quality, macrozoobenthos and zooplankton

An ecological engineering project using water hyacinth for nutrient removal was performed in Baishan Bay of a large shallow eutrophic lake, Lake Dianchi in China. In the present study, a systematic survey of water quality, macrozoobenthos and zooplankton inside (IWH), around (AWH) and far away (FWH) water hyacinth mats was conducted in Baishan Bay from August to October 2010. The results showed that the water quality significantly improved at AWH area. Concentrations of nitrogen and phosphorus were lower and transparency was higher at AWH area than those in IWH and FWH areas. Total densities, dominant species densities, and biodiversity indexes of macrozoobenthos and cladocerans as well as copepods did not differ (P > 0.05) among each other in all three areas. It was significantly (P < 0.05) different for those of rotifers at IWH area compared to those in AWH and FWH areas. The results might suggest a tremendous potential for the utilization of water hyacinth in the eutrophic lake like Lake Dianchi for nutrients removal.     

Using a neural network approach and time series data from an international monitoring station in the Yellow Sea for modeling marine ecosystems

The international marine ecological safety monitoring demonstration station in the Yellow Sea was developed as a collaborative project between China and Russia. It is a nonprofit technical workstation designed as a facility for marine scientific research for public welfare. By undertaking long-term monitoring of the marine environment and automatic data collection, this station will provide valuable information for marine ecological protection and disaster prevention and reduction. The results of some initial research by scientists at the research station into predictive modeling of marine ecological environments and early warning are described in this paper. Marine ecological processes are influenced by many factors including hydrological and meteorological conditions, biological factors, and human activities. Consequently, it is very difficult to incorporate all these influences and their interactions in a deterministic or analysis model. A prediction model integrating a time series prediction approach with neural network nonlinear modeling is proposed for marine ecological parameters. The model explores the natural fluctuations in marine ecological parameters by learning from the latest observed data automatically, and then predicting future values of the parameter. The model is updated in a “rolling” fashion with new observed data from the monitoring station. Prediction experiments results showed that the neural network prediction model based on time series data is effective for marine ecological prediction and can be used for the development of early warning systems.     

矿业系统安全事故周期分析及预测研究

利用季节指数预测理论,建立矿业系统安全事故预测模型,预测事故死亡人数,并对预测结果的拟合度和趋势变化做出相应的解析。研究结果表明,季节指数周期预测模型,既能解决事故指标序列不规则性周期波动,又能很好地预测其发展趋势,对矿业安全管理决策和事故预防具有重大意义。     

雷电灾害风险评估系统开发与应用

根据国标《GB/T21714.2-2008雷电防护》的雷电灾害风险评估原理和方法,结合国标《GB50057-1994(2000年版)建筑防雷设计规范》和《GB50343-2004建筑物电子信息系统防雷技术规范》的相关方法,利用Del-phi7.0开发了集评估项目地理位置定位、闪电资料分析、建筑物评估和区域评估等功能的综合性雷电灾害风险评估系统。介绍了系统的需求分析、功能、特点和其中涉及的风险评估算法。利用该系统可快速、方便地完成各类项目雷电灾害风险评估工作,并自动生成word报告。     

Research on interest allocation in resource industry chain: taking resources exploitation in China as an example

In this paper, interest allocation in the resource industry chain is studied taking resources exploitation in China as an example. First, qualitative analysis is used to conclude stakeholders and their relationship in mineral resource exploitation. In the following section, using the tool of price constitution and comparison method, the research on interest allocation along the industry chain shows that midstream and downstream companies have advantages. The next section studies interest allocation among resource owners, exploitation companies and local governments. Through contrastive analysis of the financial report of petroleum companies, this paper quantitatively measures the scale of revenue shifting from resource owners, the central and local governments to exploitation companies. This contorted interest allocation is an important factor resulting in exploitation confusion and the large revenue gap.