Results 41 to 50 of about 12,663 (119)
Biodiversity‐driven spatial conservation planning to delineate temporally stable regions
Abstract The accelerating loss of biodiversity underscores the critical need for effective conservation strategies, particularly in the face of climate change and anthropogenic pressures. We devised a conservation planning framework that adopts a temporal stacking approach to species distribution models and landscape connectivity analyses. These models
Mattia Iannella +5 more
wiley +1 more source
为了降低火电厂燃煤锅炉的氮氧化合物排放浓度和锅炉煤耗,提出了样本增量量子神经网络和改进型量子蜂群算法。样本增量量子神经网络可以动态建立燃煤锅炉的氮氧化合物排放浓度和锅炉煤耗的综合模型,并且可实现模型滚动优化。基于建立的综合模型,通过应用改进型量子蜂群算法优化一二次风量、燃煤量和各二次风门开度来实现锅炉燃烧优化。基于上述两种方法,开发了一套燃煤锅炉智能燃烧优化软件,并应用于某热电厂330 MW锅炉上,测试结果表明,氮氧化合物排放浓度和锅炉煤耗均有不同程度的降低,说明建模方法和优化算法是有效的。
牛培峰 +3 more
doaj
Defining and identifying relevant stakeholders to advance effective conservation
The challenge of defining stakeholders in environmental science and an approach for refining existing definitions. Abstract Stakeholder is a contested term that has spawned a multitude of ad hoc definitions. The ambiguity of these definitions has oftentimes impeded transdisciplinary research in environmental governance and conservation science because ...
Milan Büscher +5 more
wiley +1 more source
基于子模型法的金具优化设计及其在±1100 kV阀厅中的应用
对阀厅内部进行金具优化设计,可以有效地改善其表面的电场分布。但将待优化金具置于整体模型中加载计算和单独计算分析的方法,分别会造成增加工作量和产生较大误差等问题。对此,文中提出了基于子模型法的金具表面电场分析及优化设计方法,即从整体模型中精确提取待优化金具的边界条件,并以此为依据在金具周围局部区域的子模型中进行分析及优化设计。为验证所提方法的有效性,分别从理论分析和算例验证两方面进行阐述,之后将其应用于±1 100 k V阀厅内部金具的优化设计中。结果表明,该方法有效避免了对整体模型的反复计算 ...
杜鹏飞, 程杉, 杜志叶, 金硕
doaj
Scenarios and strategies for future‐proofing ecosystem management under climatic novelty
Abstract Climate change is driving unprecedented declines in dominant, habitat‐forming foundation species across marine and terrestrial ecosystems globally. As climatic novelty becomes the norm, ecosystem reassembly will become increasingly common. Predicting and understanding these transitions, and their implications for future ecosystem functioning ...
Lauren T. Toth +14 more
wiley +1 more source
微电网的研究及发展归根结底是为了应对目前能源、资源紧张,环境污染等一系列问题,因此微电网不仅要满足基本供电需求,还应提高其经济性与环保性。文中主要通过建立分布式电源模型及多目标优化模型对微电网内的分布式电源进行优化调度,根据对微电网的具体要求运用遗传算法进行优化计算,进行最优化配置。算例结果通过24 h内不同优化的结果进行对比,得到最优配置,验证了模型在微电网多目标优化方面的有效性,从而达到对微电网整体性最优化。
赵磊, 曾芬钰, 王霜, 杨宝泉
doaj
ABSTRACT Managing diabetic wounds requires simultaneously addressing their infectious, oxidative, and regenerative impairments. To address this, this study integrates a piezoelectric BiOCl@CuSe heterojunction (PFM‐verified) into an injectable F127/HA hydrogel, creating an ultrasound‐responsive smart dressing.
Jiayan Guo +5 more
wiley +1 more source
ABSTRACT With the growing severity of volatile organic compounds (VOCs) pollution, metal‐organic frameworks (MOFs)‐derived materials offer a promising solution through efficient photothermal catalysis. In this paper, M‐MnOx (M = Cu, Ni, Co, Fe) catalysts derived from manganese‐based MOFs were successfully prepared by the sacrificial template method and
Yizhong Liao +10 more
wiley +1 more source
负荷建模在电力系统的运行和控制方面扮演着至关重要的角色,找到一种有效、可靠的负荷建模参数辨识优化方法具有重要的实际意义。文中利用支持向量机(support vector machine,SVM)方法对电力系统负荷进行建模研究,通过高斯径向基函数作为核函数,选择支持向量机模型的基础结构。在模型辨识过程中,以PMU实测电流、电压以及相角数据作为输入变量,以有功功率和无功功率作为输出变量。基于测量的负荷建模方法使用留一交叉验证法(leave-one-out cross-validation,LOOCV ...
邢超, 王朋林, 何鑫, 邓灿
doaj

