Feng Lu

Chinese Academy of Sciences

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Shifen Cheng

Institute of Geographic Sciences and Natural Resources Research

Peng Peng

Hunan University

Hengcai Zhang

Institute of Geographic Sciences and Natural Resources Research

Peiyuan Qiu

Sichuan University

Jun-Wei Zuo

Chinese Academy of Sciences

Mingxiao Li

Shenzhen University

Yong Bo

Chinese Academy of Sciences

Qi Bian

Tsinghua University

Kang Liu

Shenzhen Institutes of Advanced Technology

Peixiao Wang

State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing

Cooperative Institutions

Chinese Academy of Sciences

438

University of Chinese Academy of Sciences

228

Institute of High Energy Physics

125

China Meteorological Administration

University of Science and Technology of China

Institute of Geographic Sciences and Natural Resources Research

National Astronomical Observatories

Peking University

Toshiba (Japan)

Zhejiang University

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Optical turbulence at Ali, China – results from the first year of lunar scintillometer observations

Monthly Notices of the Royal Astronomical Society (2020)

Paul Hickson Feng Lu Joschua Hellemeier Zhi-Xia Shen Suijian Xue

ABSTRACT The location of an astronomical observatory is a key factor that affects its scientific productivity. The best astronomical sites are generally those found at high altitudes. Several such sites in western China and the Tibetan plateau are presently under development for astronomy. One of these is Ali, which, at over 5000 m, is one of the highest astronomical sites in the world. In order to further investigate the astronomical potential of Ali, we have installed a lunar scintillometer, for the primary purpose of profiling atmospheric turbulence. This paper describes the instrument and technique, and reports results from the first year of observations. We find that ground layer (GL) turbulence at Ali is remarkably weak and relatively thin. The median seeing, from turbulence in the range 11–500 m above ground, is 0.34 arcsec, with seeing better than 0.26 arcsec occurring 25 per cent of the time. Under median conditions, half of the GL turbulence lies below a height of 62 m. These initial results, and the high altitude and relatively low temperatures, suggest that Ali could prove to be an outstanding site for ground-based astronomy.

Scintillometer

10.1093/mnras/staa1101

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Citations (7)

A Line Graph-Based Continuous Range Query Method for Moving Objects in Networks

ISPRS International Journal of Geo-Information (2016)

Hengcai Zhang Feng Lu Jie Chen

The rapid growth of location-based services has motivated the development of continuous range queries in networks. Existing query algorithms usually adopt an expansion tree to reuse the previous query results to get better efficiency. However, the high maintenance costs of the traditional expansion tree lead to a sharp efficiency decrease. In this paper, we propose a line graph-based continuous range (LGCR) query algorithm for moving objects in networks, which is characterized by a novel graph-based expansion tree (GET) structure used to monitor queries in an incremental manner. In particular, GET is developed based on the line graph model of networks and simultaneously supports offline pre-computation to better adapt our proposed algorithm to different sizes of networks. To improve performance, we create a series of related data structures, such as bridgeable edges and distance edges. Correspondingly, we develop several algorithms, including initialization, insertion of objects, filter and refinement and location update, to incrementally re-evaluate continuous range queries. Finally, we implement the GET and related algorithms in the native graph database Neo4J. We conduct experiments using real-world networks and simulated moving objects and compare the proposed LGCR with the existing classical algorithm to verify its effectiveness and demonstrate its greater efficiency.

Initialization

Range query (database)

10.3390/ijgi5120246

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A statistical study of pre‐summer hourly extreme rainfall over the Pearl River Delta metropolitan region during 2008–2017

International Journal of Climatology (2019)

Yixuan Shou Wenhua Gao Feng Lu

Abstract In this study, we explored the hourly extreme rainfall over the Pearl River Delta metropolitan region (PRDMR) by performing a statistical analysis on a 10‐year hourly precipitation dataset combined with the fifth generation of ECMWF atmospheric hourly reanalysis (ERA‐5) and half‐hourly FengYun‐2 geostationary satellite observations during the pre‐summer rainy season from 2008 to 2017. Results showed that hourly extreme rainfall events over the PRDMR increased at a significant pace during the most recent 10 years, which frequently occurred during the early morning (0400–0900 local standard time [LST; UTC + 8 hr]) and afternoon (1300–1800 LST) over the central urban district and 100‐km downstream area. Comparative analysis of the meteorological conditions between the two peak periods revealed that the hourly extreme rainfall events over the PRDMR during the pre‐summer rainy season were overall prefrontal rainstorms that occurred under the influence of dominant south‐westerlies and weak easterly backflows of warm‐moist air at lower atmospheres. The hot plumes rooted at the urban surface may be the key local environmental factors responsible for generating hourly heavy rainfall over the PRDMR. Given favourable large‐scale conditions, the interaction of urban heat island effects with sea breezes and mountain‐valley breezes can promote convection by altering the thermodynamic and dynamic structures around the PRDMR. By comparison, the hourly extreme rainfall events that occurred during morning periods over the PRDMR were more sensitive to moderate to strong wind shear at the lower planetary boundary layer, whereas those that occurred during afternoon periods were more likely to occur in the presence of an environment with high conditional instability.

Sea breeze

Westerlies

Precipitable water

10.1002/joc.6457

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Citations (9)

Numerical study of a 20W class QCW pulsed sodium guide star laser's performances at five sites in China

arXiv (Cornell University) (2021)

Hongyang Li Feng Lu Jun-Wei Zuo Qi Bian Botian Sun

In the past few years, Chinese astronomical community is actively testing astronomical sites for several new optical/infrared ground-based telescopes. These site testing campaigns conducted were mainly focused on fundamental performances of the site, such as cloud coverage, seeing, temperature, etc. With increasing interests in sodium laser guide star adaptive optics for these new telescopes in the Chinese astronomical community, it is interesting to investigate the performance of the laser guide star at these sites, especially considering that the sodium laser guide star's on-sky performance is significantly influenced by sites' local performances, such as geomagnetic field, sodium layer dynamics, density of air molecule, etc. In this paper, we studied sodium laser guide star's performance of a 20W class Quasi-CW pulsed laser developed by TIPC with numerical simulation for five selected sites in China.

Laser Guide Star

Star (game theory)

Source

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Identifying the Cargo Types of Road Freight with Semi-Supervised Trajectory Semantic Enhancement

Yibo Zhao Shifen Cheng Feng Lu

10.2139/ssrn.4472360

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TDMA'11 workshop overview

Feng Lu Xing Xie Shih‐Lung Shaw

No abstract available.

10.1145/2030112.2030252

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Superconducting pairing symmetry and energy gaps of the two-orbitalt–t′–J–J′ model: comparisons with the ARPES experiments in iron pnictides

Journal of Physics Condensed Matter (2009)

Feng Lu Liang‐Jian Zou

Motivated by the discovery of the iron-based superconductors, we present the theoretical results on the superconducting phase diagram, the temperature-dependent Fermi surface structures in normal state and the angle-resolved photoemission spectroscopy (ARPES) character of quasiparticles of the two-orbital t-t'-J-J' model. In the reasonable physical parameter region of LaFeAsO(1-x)F(x), we find the superconducting phase is stable, and the pairing symmetry is weakly anisotropic and nodeless d(x(2)-ηy(2))+S(x(2)y(2))-wave, qualitatively in agreement with the ARPES experiments in iron pnictide superconductors. Nevertheless, the two ratios of the energy gaps to T(c) deviate from the ARPES data, suggesting that a more elaborate theoretical model is needed.

Pnictogen

10.1088/0953-8984/21/25/255701

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Citations (9)

An explainable spatial interpolation method considering spatial stratified heterogeneity

International Journal of Geographical Information Science (2024)

Shifen Cheng Wenhui Zhang Peng Luo Lizeng Wang Feng Lu

Spatial interpolation is essential for handling sparsity and missing spatial data. Current machine learning-based spatial interpolation methods are subject to the statistical constraints of spatial stratified heterogeneity (SSH), normally involving separate modeling of each stratum and simple weighted averaging to integrate intra-stratum and inter-strata features. However, these models overlook the different contributions of inter-strata features to different locations within a stratum (heterogeneous inter-strata associations, HIA) and the explanation of spatial effects on the interpolation process, leading to suboptimal and unreliable interpolation outcomes. This article proposes a novel explainable spatial interpolation method considering SSH (X-SSHM). Spatial and environmental features are utilized to describe intra-stratum and inter-strata information, which are fed into random forest-based learners to achieve high-level semantic feature mapping. Geographically weighted regression is employed to integrate intra-stratum and inter-strata features to achieve a unified expression of SSH and HIA, obtaining the final interpolation result. Geographically weighted Shapley (GSHAP) is proposed to decompose the marginal contributions of intra-stratum and inter-strata features. Model performance is evaluated on simulated and soil organic matter datasets. X-SSHM outperformed five baselines regarding interpolation accuracy. Moreover, statistical methods validated X-SSHM's ability to elucidate the mechanisms by which SSH, spatial autocorrelation and HIA affect the model interpolation process.

Interpolation

Spatial heterogeneity

10.1080/13658816.2024.2426067

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Citations (2)

Sensing the Nighttime Economy–Housing Imbalance from a Mobile Phone Data Perspective: A Case Study in Shanghai

Remote Sensing (2022)

Mingxiao Li Wei Tu Feng Lu

Sensing the nighttime economy–housing imbalance is of great importance for urban planning and commerce. As an efficient tool of social sensing and human observation, mobile phone data provides an effective way to address this issue. In this paper, an indicator, mobile phone data-based nighttime economy–housing imbalance intensity, is proposed to measure the degree of the nighttime economy–housing imbalance. This indicator can distinguish vitality variations between sleep periods and nighttime activity periods, which are highly related to the nighttime economy–housing imbalance. The spatial pattern of the nighttime economy–housing imbalance was explored, and its association with the built environment was investigated through city-scale geographical regression analysis in Shanghai, China. The results showed that the sub-districts of Shanghai with high-positive-imbalance intensities displayed structures with superimposed rings and striped shapes, and the sub-districts with negative imbalance intensities were distributed around high positive-intensity areas. There were significant linear correlations between imbalance intensity and the built environment. The multiple influences of built environment factors and related mechanisms were explored from a geographical perspective. Our study utilized the social sensing data to provide a more comprehensive understanding of the nighttime economy–housing imbalance. These findings will be useful for fostering the nighttime economy and supporting urban renewal.

Mobile phone

Geographically Weighted Regression

10.3390/rs14122738

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Spatiotemporal evolution pattern detection for heavy-duty diesel truck emissions using trajectory mining: A case study of Tianjin, China

Journal of Cleaner Production (2019)

Shifen Cheng Beibei Zhang Peng Peng Zhenzhen Yang Feng Lu

Heavy duty

10.1016/j.jclepro.2019.118654

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Citations (28)