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NDVI-based grassland biomass model has been widely used for evaluating the growth and productivity of grassland communities, since remote sensing technology is able to monitor wide area with strong timeliness. Based on regression relation between grassland biomass and NDVI from the literature during 2000 – 2018, we built the dataset of regression relation between grassland biomass and NDVI in China. The dataset contains 12 types of grassland regression relationships between biomass and NDVI, each relationship type contains 4 kinds of regression expression, i.e., unitary linear, power, exponential and logarithmic relationships. Besides, grassland regionalization, distribution area, suitable period, NDVI data resources, NDVI temporal resolution and NDVI spatial resolution were compiled. This dataset provides important data resources for evaluating Chinese grassland productivity, grassland ecosystem carrying capacity, carbon cycle, and ecological protection. NDVI-based grassland biomass model has been widely used for evaluating the growth and productivity of grassland communities, since remote sensing technology is able to monitor wide area with strong timeliness. Based on regression relation between grassland biomass and NDVI from the literature during 2000 – 2018, we built the dataset of regression relation between grassland biomass and NDVI in China. The dataset contains 12 types of grassland regression relationships between biomass and NDVI, each relationship type contains 4 kinds of regression expression, i.e., unitary linear, power, exponential and logarithmic relationships. Besides, grassland regionalization, distribution area, suitable period, NDVI data resources, NDVI temporal resolution and NDVI spatial resolution were compiled. This dataset provides important data resources for evaluating Chinese grassland productivity, grassland ecosystem carrying capacity, carbon cycle, and ecological protection.

This dataset is composed of two parts of data stored in two respective Excel files. They are: 1. Data on Main crops AG-biomass and leaf area index (2006-2015); 2. Data on Main crops Root biomass in cultivated layer of soil (2006-2015). This dataset is composed of two parts of data stored in two respective Excel files. They are: 1. Data on Main crops AG-biomass and leaf area index (2006-2015); 2. Data on Main crops Root biomass in cultivated layer of soil (2006-2015).

As a marker for isotope tracing technology, carbon-13 is widely used and the market demand is on the rise. In order to explore the separation method of carbon-13 isotope, a gas diffusion separation experiment using ethanol as the processing gas was carried out, and a cascade calculation was carried out on the basis of the single-stage experiment. The results of the single-stage separation experiment show that the overall separation factor for unit mass difference of ethanol separation by gas diffusion can reach 1.008 9 under the existing experimental conditions. It is feasible to use ethanol as processing gas to separate carbon isotopes by gas diffusion method. Through the cascade calculation, it can be known that using natural ethanol as the feed, combined with the feasibility and economy of separation, after a square cascade or matched abundance ratio cascade separation, a heavy fraction with the carbon-13 isotope abundance greater than 25% can be obtained. If ethanol with a carbon-13 isotope abundance greater than 25% can be converted into a suitable form of carbon compound, it can be further separated to obtain a higher abundance of carbon-13 isotope.

Despite the recent interest in low-temperature carbonization of coal sources to prepare disordered carbon materials for the anode of lithium-ion batteries (LIBs) and sodium-ion batteries (SIBs), the carbonization mechanism is still poorly understood. Herein, we select bituminous coal as the raw material and investigate the chemical, microcrystalline, and pore structure evolution from coal to the resulting disordered carbon during the carbonization process. These structural evolutions with temperature show an increasing interlayer spacing (3.69–3.82 Å) and defect concentration (1.26–1.90), as well as the generation of abundant nano-microporous structures. These changes are attributed to the migration of the carbon layer and the release of small molecules. Furthermore, a decrease in interlayer spacing and defect concentration occurs between 1000 °C and 1600 °C. In LIBs, samples carbonized at 1000 °C (CC-1000) showed the best electrochemical performance, with a reversible capacity of 384 mAh g–1 at 0.1C and excellent rate performance, maintaining 170 mAh g–1 at 5C. In SIBs, samples carbonized at 1200 °C (CC-1200) had a reversible capacity of 270.1 mAh g–1 at 0.1C and high initial Coulombic efficiency of 86.8%. These results guide the structural regulation of disordered carbon materials derived from coal for targeted applications. Despite the recent interest in low-temperature carbonization of coal sources to prepare disordered carbon materials for the anode of lithium-ion batteries (LIBs) and sodium-ion batteries (SIBs), the carbonization mechanism is still poorly understood. Herein, we select bituminous coal as the raw material and investigate the chemical, microcrystalline, and pore structure evolution from coal to the resulting disordered carbon during the carbonization process. These structural evolutions with temperature show an increasing interlayer spacing (3.69–3.82 Å) and defect concentration (1.26–1.90), as well as the generation of abundant nano-microporous structures. These changes are attributed to the migration of the carbon layer and the release of small molecules. Furthermore, a decrease in interlayer spacing and defect concentration occurs between 1000 °C and 1600 °C. In LIBs, samples carbonized at 1000 °C (CC-1000) showed the best electrochemical performance, with a reversible capacity of 384 mAh g–1 at 0.1C and excellent rate performance, maintaining 170 mAh g–1 at 5C. In SIBs, samples carbonized at 1200 °C (CC-1200) had a reversible capacity of 270.1 mAh g–1 at 0.1C and high initial Coulombic efficiency of 86.8%. These results guide the structural regulation of disordered carbon materials derived from coal for targeted applications.

氣候變遷乃人類目前所面臨的一項全球性問題。歐盟針對氣候變遷如何回應，採取哪些政策與行動，其特徵與成效又如何？這是本文關心的一項重點，其他議題包括：歐盟氣候變遷政策如何形成，有何理念與目標、法源依據、組織架構、決策流程、政策措施、國際談判，以及有何意涵與影響。氣候變遷乃一跨部門與超國界的議題，歐盟超國家氣候變遷政策因此得提供其他國家、區域性與國際性組織，從事氣候變遷國際合作的比較參考，頗具意義。 Climate change is currently a global issue faced by human beings. Combating climate change is a top priority for the EU policy. In 2007 the EU endorsed an integrated approach to climate and energy policy and committed to transforming the EU into a highly energy-efficient, low Carbon economy. The EU has long been a driving force in international negotiations for larger global actions to structure an effective global climate regime. This paper focuses primarily on examining climate change law, strategy and practices in the EU. The following core issues are exploited: What is the concept and impacts of climate change on the EU? What is the legal framework, decision-making procedure, institutional structure of the EU’s climate change policy? To what extent the EU’s climate change policy is influenced by the European Council and the EU’s foreign policy under the Lisbon Treaty? What is the strategy adopted by EU at the international negotiations on climate change? And what’s the significance and impacts of the EU model of climate change policy on third countries and international organizations?

In order to improve the competitiveness of wind power in participating in the power market, promote low-carbon operation of the power system, and meet the new requirements for the completeness and flexibility of the production simulation model due to the uncertainty of wind power output,this paper analyzes the electricity cost composition from the perspective of low-carbon economy, and applies the stochastic programming theory to propose a short-term production simulation model of power system containing wind power. Considering the participation of the carbon trading market, this model aims to minimize the expected cost of electricity production in a short-term time scale, and coordinately optimize the day-ahead power output, real-time power regulation, power reserve capacity, wind curtailment, and load shedding. Taking the modified IEEE 39-bus system as an example, this paper quantitatively evaluates the impact of carbon trading mechanism, carbon trading price, and wind power installed capacity on electricity costs and their contributions to carbon emission reduction. The simulation results show that the proposed model can effectively analyze the short-term electricity cost, carbon emissions, and operational risks of the power system containing wind power under the carbon trading environment, thus has a promise application prospect.

A day-ahead optimal decision-making model is established for an integrated electricity-heat energy system to participate in both the electric energy market and the spinning reserve market, and the step-by-step carbon trading is introduced into the proposed model. The conditional value at risk method is used to manage the uncertainty risk of renewable energy and electrical load. With the objective to minimize the operation scheme cost and carbon emission cost, an operation plan is developed and the reserve resources are arranged for the integrated electricity-heat energy system. The results of a case study show that the proposed model improves the reliability, economy, and low-carbon level by taking the complementary advantages of the integrated energy system and reasonably arranging reserve resources to deal with the risks caused by uncertain factors.

This dataset is the experimental data of the draft "Rainbow trapping of flexural waves and its application in energy harvesting" (Draft No. lxxb2022-107) accepted by Chinese Journal of Theoretical and Applied Mechanics in 2022. It includes wave field experimental data of the rainbow trapping of flexural waves and experimental data of flexural wave energy harvesting. The experimental instruments used in the acquisition and processing of this dataset include a laser Doppler vibrometer system PSV400 and a power amplifier HVPA05, and the software used includes Matlab, Origin, and WPS. The ownership of the dataset belongs to the Institute of Structural Dynamics and Control, School of Aeronautics, Northwestern Polytechnical University. 本数据集为力学学报2022年录用稿《弯曲波彩虹捕获效应及其在能量俘获中的应用》（稿号为lxxb2022-107）的实验数据，包括弯曲波彩虹捕获效应波场实验数据和弯曲波能量俘获实验数据。本数据集在获取和处理过程中使用的实验仪器包括激光多普勒测振系统 PSV400 和功率放大器 HVPA05，使用的软件包括Matlab，Origin，WPS。数据集的所有权归属于西北工业大学航空学院结构动力学与控制研究所。

In order to promote the in-depth development of simulation research of biofuel application , the development of the chemical reaction mechanism of biofuel combustion was explained, and application of Computational Fluid Dynamics Model in Combustion Simulation of Internal Combustion Engines were also explored. The technical idea of biofuel combustion mechanism construction and simplification was analyzed.The research progress of biofuel combustion simulation based on CFD combustion model was explored.By calling the biofuel combustion mechanism,Study on the combustion process and emission generation law of internal combustion engine was effective.The review showed that the chemical kinetics of biofuel combustion can be generated by the coupling and simplification of a typical single component combustion mechanism.By calling this synthesis mechanism,the combustion process analysis and emission generation analysis of biofuel.can be realized.Research showed that simulation research was an important technical approach to achieve biofuel application research.

Currently, the utilization efficiency of energy still remains at low level, although the depletion of fossil fuel is approaching. Therefore, while vigorously developing new energy, it is of great significance to develop new materials with "passive self-adjustment ability". Phase change humidity storage composite materials is a kind of composite material with phase change and temperature controlling property and humidity storage and humidity controlling property, which are very promising in the field of building wall material. In this paper, the action principle of phase change humidity storage composite materials, packaging technique of phase change material, classification and selection of humidity-controlling material were introduced briefly in the first section. And then the application of phase change humidity storage composite materials in building wall material were reviewed and analyzed in detail. In the third part, characteristics of double-shell phase change micro-nano capsules, polyfatty acid/SiO2 phase change and humidity storage composite materials and decanoic acid-palmitic acid @ Ce-La/TiO2 composites were pointed out. Main problems and research status of phase change humidity storage composite materials were pointed. Finally, it was pointed out the optimized durability of phase change humidity storage composite materials, developing multi-functional phase change humidity storage composite materials are the main development directions of phase change humidity storage composite materials.