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| 1 | Changes in China’s lakes: climate and human impacts显示文摘Lakes have played a critical role in providing water and ecosystem services for people and other organisms in China for millennia.However,accelerating climate change and economic boom have resulted in unprecedented changes in these valuable lakes.Using Landsat images covering the entity of the country,we explored the changes in China’s lakes and the associated driving forces over the last 30 years(i.e.mid-1980 s to 2015).We discovered that China’s lakes have changed with divergent regional trends:in the sparsely populated Tibetan Plateau,lakes are abundant and the lake area has increased dramatically from 38596 to46831 km^2(i.e.increased by 8235 km^2,or 21.3%),whereas,in the densely populated northern and eastern regions,lakes are relatively scarce and the lake area has decreased from 36659 to 33657 km^2(i.e.decreased by 3002 km^2,or 8.2%).In particular,severe lake decreases occurred in the Mongolia-Xinjiang Plateau and the Eastern Plain(-2151 km^2).Statistical analyses indicated that climate was the most important factor controlling lake changes in the Tibetan Plateau,the Yun-Gui Plateau and the Northeast Plain.However,the strength of climatic control on lake changes was low in the Eastern Plain and the Mongolia-Xinjiang Plateau,where human activities,e.g.impoldering,irrigation and mining,have caused serious impacts on lakes.Further lake changes will exacerbate regional imbalances between lake resources and population distribution,and thus may increase the risk of water-resource crises in China. | Shengli Tao Jingyun Fang Suhui Ma Qiong Cai Xinyu Xiong Di Tian Xia Zhao Leqi Fang Heng Zhang Jiangling Zhu Shuqing Zhao | 2020 | National Science Review2020，7，1： | 14 |
| 2 | Buoyancy effect on heat transfer in rotating smooth square U-duct at high rotation number显示文摘The buoyancy effect on heat transfer in a rotating,two-pass,square channel is experimentally investigated in curent work.The classical copper plate technique is performed to measure the regional averaged heat transfer cofficients.In order to perform a fundamental research,all turbulators are removed away.Two approaches of altering Buoyancy numbers are selected:varying rotation number from 0 to 2.08 at Reynolds number ranges of 10000 to 70000,and varying inlet density ratio from 0.07 to 0.16 at Reynolds number of 10000.And thus,Buoyancy numbers range from 0 to 12.9 for both cases.According to the experimental results,the relationships between heat transfer and Buoyancy numbers are in accord with those obtained under different rotation numbers.For both leading and trailing surface,a critical Buoyancy number exists for each X/D location.Before the critical point,the effect of Buoyancy number on heat transfer is limited;but after that,the Nusselt number ratios show different increase rate.Given the same rotation number,higher wall temperature ratios with its corresponding higher Buoyancy numbers substantially enhance heat transfer on both passages.And the critical exceed-point that heat transfer from trailing surface higher than leading surface happens at the same Buoyancy number for different wall temperature ratios in the second passage.Thus,the stronger buoyancy effect promotes heat transfer enhancement at high rotation number condition. | Yang Li Guoqiang Xu Hongwu Deng Shuqing Tian | 2014 | Propulsion and Power Research2014，3，3： | 6 |
| 3 | Magnetic characteristics and its environmental implications of core YSJD-86GC sediments from the southern South China Sea显示文摘Sediments of core YSJD-86GC(referred to as86GC)collected from the southern South China Sea were selected for environmental magnetic studies.Combined with the published chronological framework,sediment magnetic properties were revealed for the study area since the MIS3 stage.The rock magnetic results indicate that low-coercivity magnetite is the main magnetic mineral within the sediments.Also,a certain amounts of hematite are present.The King plot and Day plot,which reflect the magnetic particle size,show that fine-grained pseudo-single-domain phase magnetic particles dominate the magnetic minerals in the sediments.Comparison of magnetic parameters and geochemical indicators show that magnetic properties of core 86GC sediments reflect a terrigenous input.Simultaneously,magnetic characteristics of the studied sediment are influenced by the quantity of terrigenous sediment input,oxidation-reduction conditions of the provenance area,and the transportation environment and distance.Sea level fluctuation caused by global climate change was the main factor for variation in concentration of magnetic minerals and magnetic particle size of thestudied core sediments.Thus,variation of sediment magnetic properties in the study area can be used as an indirect indicator of sea level fluctuation. | Tingping Ouyang Chengjing Tian Zhaoyu Zhu Yan Qiu Erwin Appel Shuqing Fu | 2014 | Chinese Science Bulletin2014，59，25： | 3 |
| 4 | Energy and Exergy Analysis of a Novel Efficient Combined Process by Hydrothermal Degradation and Superheated Steam Drying of Degradable Organic Wastes显示文摘This paper considers the combination of hydrothermal degradation(HTD)and superheated steam(SHS)drying indisposal and processing of degradable organic wastes in municipal solid wastes(MSW).In SHS drying, a fractionof dryer thermal energy input can be recovered and used to satisfy the heat requirement in maintaining the HTDoperating temperature.Both energy and exergy analysis are applied to the combined process.The analysis coversranges of dryer inlet temperatures of 202.38-234.19℃ and feed water content of 32.5-65%.Thermal energyanalysis shows that the combination of HTD and SHS drying can achieve thermal energy self-sufficiency(TES)by manipulating process variables.The exergy analysis indicates the location,type,and magnitude of the exergylosses during the whole process by applying the second law of thermodynamics. | Shuqing GUO Yunhan XIAO Wendong TIAN Zhedian ZHANG | 2006 | Journal of Thermal Science2006，15，3： | 2 |
| 5 | Broadband High-Efficiency Surface-Plasmon-Polariton Coupler with Silicon-Metal Interface显示文摘 | Jie Tian Shuqing Yu Wei Yan Min Qiu | | 0，，： | 1 |
| 6 | Temporal sequence Object-based CNN(TS-OCNN) for crop classification from fine resolution remote sensing image time-series显示文摘Accurate crop distribution mapping is required for crop yield prediction and field management. Due to rapid progress in remote sensing technology, fine spatial resolution(FSR) remotely sensed imagery now offers great opportunities for mapping crop types in great detail. However, within-class variance can hamper attempts to discriminate crop classes at fine resolutions. Multi-temporal FSR remotely sensed imagery provides a means of increasing crop classification from FSR imagery, although current methods do not exploit the available information fully. In this research, a novel Temporal Sequence Object-based Convolutional Neural Network(TS-OCNN) was proposed to classify agricultural crop type from FSR image time-series. An object-based CNN(OCNN) model was adopted in the TS-OCNN to classify images at the object level(i.e., segmented objects or crop parcels), thus, maintaining the precise boundary information of crop parcels. The combination of image time-series was first utilized as the input to the OCNN model to produce an ‘original’ or baseline classification. Then the single-date images were fed automatically into the deep learning model scene-by-scene in order of image acquisition date to increase successively the crop classification accuracy. By doing so, the joint information in the FSR multi-temporal observations and the unique individual information from the single-date images were exploited comprehensively for crop classification. The effectiveness of the proposed approach was investigated using multitemporal SAR and optical imagery, respectively, over two heterogeneous agricultural areas. The experimental results demonstrated that the newly proposed TS-OCNN approach consistently increased crop classification accuracy, and achieved the greatest accuracies(82.68% and 87.40%) in comparison with state-of-the-art benchmark methods, including the object-based CNN(OCNN)(81.63% and85.88%), object-based image analysis(OBIA)(78.21% and 84.83%), and standard pixel-wise CNN(79.18%and 82.90%). The proposed approach is the first known attempt to explore simultaneously the joint information from image time-series with the unique information from single-date images for crop classification using a deep learning framework. The TS-OCNN, therefore, represents a new approach for agricultural landscape classification from multi-temporal FSR imagery. Besides, it is readily generalizable to other landscapes(e.g., forest landscapes), with a wide application prospect. | Huapeng Li Yajun Tian Ce Zhang Shuqing Zhang Peter MAtkinson | 2022 | The Crop Journal2022，10，5： | 1 |
| 7 | Experimental research in rotating wedge-shaped cooling channel with multiple non-equant holes lateral inlet显示文摘The heat transfer in a novel smooth wedge-shaped cooling channel with lateral ejection of turbine blade trailing edge is experimentally investigated in both non-rotating and rotating cases.Beside the conventional inlet at the bottom of the channel, an extra coolant injection from 8 lateral non-equant holes is introduced to improve the overall heat transfer. The total mass flow rate ratio(lateral mass flow rate/total mass flow rate) varies from 0 to 1.0. The major inlet Reynolds number and rotation number respectively vary from 10000 to 20000 and from 0 to 1.16. Experimental results show that the lateral inlet decreases local bulk temperature and increases local heat transfer at the middle and the top of the static channel. In rotating cases, the lateral inlet notably improves the heat transfer at the high-radius half channel and compensates the negative effects induced by the rotation. Both intensity and uniformity of heat transfer inside the channel are enhanced while flow resistance decreases with proper mass flow rate ratio of coolant from two inlets. The most satisfactory total mass flow rate ratio is around 2/3. This new structural style of cooling channel has huge potential and provides new direction of heat transfer of turbine blade trailing edge. | Huimin ZHOU Haiwang LI Zhi TAO Hongwu DENG Meisong YANG Shuqing TIAN | 2018 | Chinese Journal of Aeronautics2018，31，3： | 0 |
| 8 | A New Fiber Detection Method for LAMOST Based on the Front-illuminated Method显示文摘The double revolving fiber positioning technology is one of the key technologies for the success of the Large Sky Area Multi-Object Fiber Spectroscopic Telescope(LAMOST).The accuracy of fiber positioning will directly affect the observation efficiency of LAMOST.To achieve higher fiber positioning accuracy,the original open-loop controlled fiber positioning system urgently needs to be upgraded into a closed-loop control system.The fiber detection is the most important part of the closed-loop controlled fiber positioning system.The back-illuminated detection method is usually used to detect the fiber position by directly detecting the light spot generated at the fiber end in the multi-fiber spectral surveys.In this paper,we introduce a new method to measure the fiber position based on the image of the front-illuminated LAMOST focal plane.The front-illuminated image does not require lighting devices inside the spectrograph,and it could reduce the instability and light pollution in the spectrograph end.Our method measures the fiber position by fitting the profile of the fiber pinhole with a 2D Gaussian function.A series of tests show that the relative position measurement precision of the front-illuminated method is about 012,and the method could have the same accuracy as the back-illuminated method once the system bias is calibrated by a simple radial correction function.The required fiber positioning accuracy of LAMOST is 04,and the new method satisfies the requirement of LAMOST fiber detection accuracy and could be used in the closed-loop fiber control system. | Ming Zhou Yong Zhang Guanru Lv Jian Li Zengxiang Zhou Zhigang Liu Jianping Wang Zhongrui Bai Yuan Tian Mengxin Wang Shuqing Wang Hongzhuan Hu Chao Zhai Jiaru Chu Zhijie Han Mingxu Liu Yiqiao Dong Hailong Yuan Yongheng Zhao Yaoquan Chu Haotong Zhang | 2022 | Research in Astronomy and Astrophysics2022，22，6： | 0 |
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