A Two-Stage Particle Swarm Optimization Algorithm for MPPT of Partially Shaded PV Arrays

The power-voltage (P-V) characteristic curves of a PV array are nonlinear and have multiple peaks under partially shaded conditions (PSCs). This paper proposes a novel maximum power point tracking (MPPT) method for a PV system with reduced steady-state oscillation based on a two-stage particle swarm optimization (PSO) algorithm. The grouping method of the shuffled frog leaping algorithm (SFLA) is incorporated in the basic PSO algorithm (PSO-SFLA), ensuring fast and accurate searching of the global extremum. An adaptive speed factor is also introduced into the improved PSO to further enhance its convergence speed. Test results show that the proposed method converges in less than half the time taken by the conventional PSO method, and the power is improved by 33% under the worst PSCs, which confirms the superiority of the proposed method over the standard PSO algorithm in terms of tracking speed and steady-state oscillations under different PSCs.     

Socially robust knowledge in coastal projects

Interactive modes of knowledge production offer a strategy for seeking solutions to complex environmental problems. The outcome of such knowledge production is socially robust knowledge. Social robustness refers to knowledge that is relevant and accepted by actors in the context of its application. This is achieved when knowledge is credible, salient and produced in a legitimate way. To date, only limited research has focused on how social robustness is achieved. As coastal problems are characterised by conflicting interests and major uncertainties, the coastal zone represents a relevant domain for studying socially robust knowledge. This paper analyses and presents three conditions that need to be in place if one is to achieve socially robust knowledge in coastal projects. The conditions are based on theories related to socially robust knowledge, boundary spanning, project arrangements and knowledge arrangements. The conditions specify how social robustness can be achieved through knowledge testing by boundary spanners, the involvement of diverse actors and a close connection between knowledge production and the evolving project. In a case study, these conditions are compared to developments in a Dutch coastal project involving spatial developments near the Ems estuary. The comparison highlights the relevance of the three conditions in achieving socially robust knowledge. In addition, a fourth aspect is empirically uncovered: the role of boundary spanning among project partners prior to producing knowledge. These four conditions clarify how social robustness may be achieved in coastal solutions. As such, this paper contributes to the theoretical and empirical understanding of socially robust knowledge.     

福建省水土流失地理国情监测研究与应用——以22个重点县为例

为掌握福建省境内个22重点县水土流失地理国情现状,利用高分辨率资源三号遥感卫星影像数据进行监测分析。以土壤侵蚀分类分级标准SL190-2007为依据,通过土地利用、植被覆盖度以及坡度等水土流失影响因子的信息提取,基于GIS软件平台上,建立符合福建省水土流失地理国情的遥感监测信息提取模型。经GPS进行野外调查、验证和修改,最终完成区域水土流失图斑的提取和建库工作,为科学规划与治理及其成效分析等提供科学依据。     

华北地区主要农业灾害及灾情分析

本文分析了华北地区农业灾害发生的气象背景,并利用1981～1990年的农业统计资料分析了华北地区的农业灾情状况及因灾而造成的粮、棉损失量。华北地区单位耕地面积的受灾率及成灾率分别为47.3%和23.0%,大致相当于二年一遇灾和四年一成灾。华北地区因农业灾害而造成的粮、棉损失量平均每年为397.0和34.5万吨,粮、棉损失率分别为4.9%及15.3%。     

聚铁絮凝处理淀粉废水的试验研究

通过试验研究探讨了淀粉絮凝处理中，影响聚铁絮凝的主要因素，即聚铁用量、搅拌强度、搅拌时间、搅拌方式及沉降时间对絮凝的影响，优选出处理这种废水的最佳絮凝操作条件，并使出水ＣＯＤ值达到排放标准。     

木质素磺酸盐接枝改性的条件优化

以粘度和产率为表征,研究不同引发剂、温度、单体丙烯酰胺用量、反应时间对木质素磺酸钠与丙烯酰胺接枝共聚反应的影响,并对木质素磺酸钠接枝共聚条件进行优化。结论:K2S2O8引发的接枝反应产物具有较大粘度和产率,而(NH4)2S2O8、Na2S2O3·5H2O引发体系得到共聚物粘度和产率相对较小,所以该研究采用K2S2O8作为引发剂;通过三因素三水平的正交试验得出对共聚物的产率与粘度的影响顺序为单体丙烯酰胺用量大于反应温度大于反应时间;接枝共聚反应的优化条件是K2S2O8引发剂浓度6×10-3mol/L,反应温度为45℃,反应时间为4 h,单体丙烯酰胺与木钠比为4:1,蒸馏水与木钠比5:1。     

生物表面活性剂产生菌的筛选及培养条件优化

采用富集培养、蓝色凝胶平板筛选和发酵液排油活性测定的方法,从沈阳蜡化厂活性污泥中分离筛选到一株产表面活性剂菌株,并通过摇瓶发酵实验对该菌株产表面活性剂的培养条件进行了优化.结果表明:该菌株产表面活性剂的最佳碳源为废油,氮源为尿素,初始pH值为7.0,接种量为5％,培养温度为35℃,培养72 h后发酵液排油圈直径可达6....     

Hydrogenolysis of chlorobenzene,dichlorobenzenes and chlorotoluenes by in situ generated and gaseous hydrogen in alkaline media and the presence of Pd/C catalyst

A method for dechlorination of chloroaromatic compounds at room temperature and atmospheric pressure by an in situ generated––in reaction of Al particles with water––or gaseous hydrogen in alkaline media and the presence of Pd/C catalyst was thoroughly investigated, having in mind its possible application in utilization of organochlorine waste. Conversion degree to dechlorinated compounds depended on the constitution of substrates and ranged between 88% and 96% when in situ hydrogen was used (at substrate (chlorine) to catalyst molar ratio 550:1 and over twofold stoichiometric excess of Al relative to substrate (chlorine); the process lasted ca. 26 h until all Al was consumed), or 90–97% if gaseous hydrogen was purged. Effectiveness of dechlorination was markedly affected by stirring, i.e. size of the stirrer and speed of revolution. Prospects for application of the method described were briefly outlined.     

Tracing operational conditions for the Ecologically Sustainable Economic Development: the Pareto optimality and the preservation of the biological crucial levels

The operational designing of Environmentally Sustainable Economic Development (ESED) emerges as an urgent and demanding task. Even though ESED has paved the way for thought-provoking and constructive scientific dialogue, appeal for designing an operational ESED is still lagging behind the needs of contemporary societies, leaving much to be desired. With this in mind, the present paper will aim at delineating principles for the operational application of ESED. First, the preservation of crucial properties of environmental functions and ecosystems, emerges as a prime condition of ESED. The second condition concerns the provision of the economic process with sufficient natural inputs; in this context, the paper intends to trace certain operational tenets governing the use of natural resources. Finally, the appropriate institutional settings for the operational design of ESED are traced. Readers should send their comments on this paper to BhaskarNath@aol.com within 3 months of publication of this issue     

三维空气质量模型初始场VOCs同化对臭氧预报的影响

于2023年2月15日—3月8日，采用中尺度数值预报模式/嵌套网格空气质量模式系统（WRF/NAQPMS），分析了初始场同化6项常规大气污染物及挥发性有机物（VOCs）对广东省臭氧（O₃）预报的改进效果。 结果表明，同化6项常规污染物可显著降低O₃预报的标准化平均偏差（NMB）和均方根误差（RMSE），NMB从-26%改善为-8%，RMSE从50.6μg/m³下降到35.0μg/m³。但对相关系数（r）的改善效果不佳，从0.51下降到0.49。相比于只同化常规6项污染物，同时同化VOCs对O₃的预报效果改善较为明显，r从0.49提高到0.63。此外，对NMB和RMSE的改善效果也较好，NMB从-8%改善为-3%，RMSE从35.0μg/m³下降到30.1μg/m³。相比于不同化，同化6项常规污染物的改善效果显著，空气质量指数（AQI）等级预报准确率可提升10%以上，AQI范围预报准确率可提升40%以上。相比于仅同化6项常规污染物，再增加同化VOCs，AQI等级预报准确率和范围预报准确率均提升5%左右，改善程度不高。