Optimizing mixture properties of biodiesel production using genetic algorithm-based evolutionary support vector machine

Nowadays, biodiesel is used as one of the alternative renewable energy due to the increasing energy demand. However, optimum production of biodiesel still requires a huge number of expensive and time-consuming laboratory tests. To address the problem, this research develops a novel Genetic Algorithm-based Evolutionary Support Vector Machine (GA-ESIM). The GA-ESIM is an Artificial Intelligence (AI)-based tool that combines K-means Chaotic Genetic Algorithm (KCGA) and Evolutionary Support Vector Machine Inference Model (ESIM). The ESIM is utilized as a supervised learning technique to establish a highly accurate prediction model between the input--output of biodiesel mixture properties; and the KCGA is used to perform the simulation to obtain the optimum mixture properties based on the prediction model. A real biodiesel experimental data is provided to validate the GA-ESIM performance. Our simulation results demonstrate that the GA-ESIM establishes a prediction model with better accuracy than other AI-based tool and thus obtains the mixture properties with the biodiesel yield of 99.9%, higher than the best experimental data record, 97.4%.     

未来30a凉山州水稻盛夏低温危害风险分析

根据(BCC)气候系统模式第五阶段试验计划(CMIP5-RCP6.0)预测的2006~2050年各格点逐日平均温度,通过订正反演出2021~2050年凉山州各站点逐日平均温度,结合凉山州不同区域水稻抽穗杨花期低温指标,统计了各站水稻盛夏低温频次、水稻安全播种期、安全齐穗期以及安全生长季差,构建了水稻盛夏低温危害风险指数I=exp(Id+ip-2),并以此进行低温危害风险的区域划分,结果表明:(1)凉山州水稻盛夏低温频次为0.1~3.0次/a,在区域和年际之间差异很大;(2)与近30a比较,凉山州水稻安全播种期普遍提前10 d左右,提前最多的达20 d以上。安全齐穗期只有少数站点推迟,大多数站点都有提前的趋势;(3)海拔1 500 m以下为无风险区,1 500~2 000 m的区域为低风险区,2 000~2 500 m为中风险区,2 500~2 600 m为高风险区,分区结果与实际情况相符,为凉山州未来水稻生产布局、应对气候变化的影响提供科学依据。     

米糠生物质解毒含铬(Ⅵ)水溶液的研究

农林生物质是一种成本低、环境友好的重金属废水处理材料,也是受重金属污染环境的修复材料之一.实验讨论了初始pH值、米糠用量、吸附时间对含铬(Ⅵ)水溶液解毒的影响.结果表明,米糠对Cr(Ⅵ)存在吸附作用,同时也有解毒还原能力.100 mL浓度为100 mg/L的含铬溶液,在初始pH为2、米糠用量为3 g、吸附-反应平衡时间7 h的条件下,生物质吸附去除溶液中的铬为14.4%,而原溶液中Cr(Ⅵ)解毒了57.2%,米糠生物质吸附总铬的能力为0.48 mg Cr/g(生物质).米糠生物质有潜在的吸附铬和修复受铬污染环境的利用价值.     

Pyrolysis of rice husk and sawdust for liquid fuel

The paper is focused on studying how to convert rice husk and sawdust into liquid fuel. Rice husk, sawdust and their mixture were pyrolyzed at the temperature between 420℃ and 540℃, and the main product of liquid fuel was obtained. The experimental result showed that the yield of liquid fuel heavily depended on the kind of feedstock and pyrolysis temperature. In the experiments, the maximum liquid yields for rice husk, sawdust and their mixture were 56% at 465 ℃, 61% at 490℃ and 60% at 475℃ respectively. Analysis with GC-MS and other apparatus indicated that the liquid fuel is a complicated organic compound with low caloric value and can be directly used as fuel oil without any up-grading. As a crude oil, the liquid fuel can be refined to be vehicle oil.     

Process of rice straw degradation and dynamic trend of pH by the microbial community MC1

The process of the rice straw degradation in the fermentor with aeration at 290 ml/h was studied. The results of dissolved oxygen （DO） indicated that the optimum DO during cellulose degradation by microbial community MC1 ranged from 0.01 to 0.12 mg/L. The change model ofpH values was as follows： irrespective of the initial pH of the medium, pH values decreased rapidly to approximate 6.0 after being inoculated within 48 h when cellulose was strongly degraded, and then increased slowly to 8.0--9.0 until cellulose was degraded completely. During the degradation process, 15 kinds of organic compounds were checked out by GC-MS. Most of them were organic acids. Quantity analysis was carried out, and the maximum content compound was ethyl acetate which reached 13.56 g/L on the day 4. The cellulose degradation quantity and ratio analyses showed that less quantity （under batch fermentation conditions） and longer interval （under semi-fermentation conditions） of rice straw added to fermentation system were contributed to matching the change model of pH, and increasing the quantity and ratio of rice straw degradation during cellulose degrading process. The highest degradation ratio was observed under the condition office straw added one time every five days （under semi-fermentation conditions）.     

蚯蚓-稻壳炭联合堆肥对工业污泥中重金属的影响研究

蚯蚓堆肥相关研究多集中在生活污泥方面,对工业污泥的探索较少。该研究以马鞍山某钢铁污水处理站污泥为例,添加不同比例稻壳炭(2%、4%、8%),设置污泥单独堆肥、稻壳炭与污泥堆肥以及蚯蚓-稻壳炭联合污泥堆肥试验,探索蚯蚓与稻壳炭联合堆肥对工业污泥中重金属形态和生物有效性的影响。研究表明,(1)相比污泥单独堆肥,稻壳炭联合污泥堆肥能增加污泥pH、EC、TP和降低TOC、TN,而蚯蚓联合稻壳炭堆肥污泥可增加TN,并进一步增加污泥EC、TP,显著降低污泥的pH、TOC。(2)稻壳炭堆肥中重金属Zn、Cu、Pb、Cd含量因浓缩效应而上升;而蚯蚓联合稻壳炭堆肥,重金属含量显著下降,添加4%稻壳炭时,重金属Zn、Cu、Pb、Cd质量分数达到最小值,分别为856.64、137.10、158.92、15.48mg·kg-1。(3)重金属形态分析表明,随着稻壳炭比例增加,稻壳炭堆肥中重金属Zn、Cu、Pb、Cd的交换态和碳酸盐结合态转化为残渣态及铁锰氧化态的比例增大,添加8%稻壳炭时DTPA提取的有效态重金属质量分数最低,分别为705.72、47.95、50.43、4.47 mg·kg-1;蚯蚓-稻壳炭联合堆肥会使得污泥中重金属交换态、碳酸盐结合态、铁锰结合态和有机结合态均向残渣态转化,添加4%稻壳炭与蚯蚓的协同转化能力最大,Zn、Cu、Pb、Cd有效态重金属质量分数分别为629.84、38.63、36.76、1.63mg·kg-1,说明稻壳炭添加入蚯蚓堆肥可进一步降低工业污泥中重金属有效性,使重金属钝化。本研究可为稻壳炭联合蚯蚓堆肥处理工业污泥提供参考和科学依据。     

资源贫瘠地区农户技术采用的影响因素分析

引入双槛模型,分两个阶段考察滇西南资源贫瘠地区农户改良陆稻技术采用行为的影响因素。第一,农户决定是否采用改良陆稻技术(采用决定)的影响因素;第二,如果采用,农户决定改良陆稻技术采用程度(采用程度决定)的影响因素。研究发现,影响农户决定是否采用改良陆稻技术的因素和影响农户决定改良陆稻技术采用程度的因素存在很大差异。农户所拥有的资源禀赋状况,例如耕地面积、市场远近、缺粮程度、海拔高度和有无技术推广项目等对农户的采用决定有显著的正向影响;而家庭劳动力比重和水田面积比例则有显著的负向影响。农户家庭规模和台地面积比例对农户技术采用程度决定呈现显著的正向影响,而耕地面积、水田面积比例和海拔高度则对其呈现显著的负向影响。因此,在制定资源贫瘠山区的农业技术推广政策时,应该充分注意区分影响技术推广广度和深度的不同因素,使不同政策措施更能在资源缺乏的情况下具有适应性和针对性。     

3种生物质炭对活性艳蓝KN-R的吸附简

选择由玉米秸秆、稻壳和稻草秸秆在825℃制成的生物质炭作为吸附剂,通过模拟实验,研究其对溶液中活性艳蓝KN-R的吸附特性,考察了pH值、时间、溶液初始浓度和生物质炭用量对吸附效果的影响。结果表明,当pH为2.0时,玉米秸秆炭和稻壳炭对活性艳蓝的吸附量均达到最大,而pH对稻草秸秆炭的影响不大;三者达到吸附平衡的时间分别为180、300和360 min,最大吸附量分别为114.05、54.60和68.19 mg/g。等温吸附过程可以用Langmuir方程来描述;动力学实验表明,吸附过程更符合拟二级动力学模型;热力学数据分析发现,吸附过程是自发进行的吸热过程。     

农户对高产农业技术扩散的生态环境影响感知实证

农民生态环境感知对促进农民自觉环境保护行为和农村两型社会建设具有重要作用。通过对湖南省洞庭湖湿地水稻主产区6个乡镇的调查,将农户生态影响感知具体化为土壤、水源、身体健康和水稻4个方面的感知,借助定量分析建立了农户综合环境感知指数,研究农民对以化学农业为代表的高产农业技术扩散的生态环境影响感知,并运用Tobit模型探讨了影响农户生态影响感知的主要因素。结果表明:农民已经意识到以石化农业为代表的高产农业技术扩散带来的不利影响,尽管他们的意识还只限于一些看得见的因素如土壤肥力、捕鱼量和健康问题,对于看不见的影响的感知还很薄弱。以化学农业为代表的高产农业技术采用的水平和持续时间直接决定了人们对于不利影响的感知。提高收入水平与教育水平、强化农业技术推广能提升农民生态环境感知,而农田水利基础设施建设和土壤肥力对农户环境感知有复杂的影响关系。     

极端气候事件的灾后适应能力研究——以水稻为例

本研究以水稻种植业为例,基于1985-2008年中国水稻主产区的面板数据,实证分析了中国极端气候事件灾后适应能力的机制及绩效。结论表明:西南、华中、华东地区在极端气候事件灾后,并没有将农业产业结构向养殖业调整,相反,种植业在政府扶持与创新激励下反而恢复生产甚至进一步扩张。特别对于西南等经济相对欠发达地区而言,较强的灾后适应能力,往往是农业生产机会成本较低的作用结果,同样由于此原因,华东地区在水灾之后却出现了劳动力转移现象。现阶段,灾后适应能力较多的表现为微观层面的农户响应行为,此种民间调控机制必然有其局限性,政府部门应加大投入力度,通过水利工程建设、气象灾害预警体系构建、标准化农田建设、良种补贴等方式引领粮食主产区应对气象灾害。