A5100427818- Cryospheric studies and observations
- Climate change and permafrost
- Soil Moisture and Remote Sensing
- Atmospheric chemistry and aerosols
- Atmospheric Ozone and Climate
- Remote Sensing and Land Use
- Arctic and Antarctic ice dynamics
- Remote Sensing in Agriculture
- Atmospheric aerosols and clouds
- Smart Agriculture and AI
- Marine and coastal ecosystems
- BIM and Construction Integration
- Atmospheric and Environmental Gas Dynamics
- Precipitation Measurement and Analysis
- Forest, Soil, and Plant Ecology in China
- Isotope Analysis in Ecology
- Spectroscopy and Chemometric Analyses
- Urban Transport and Accessibility
- Remote-Sensing Image Classification
- Water Quality Monitoring Technologies
- Advanced Algorithms and Applications
- Methane Hydrates and Related Phenomena
- 3D Modeling in Geospatial Applications
- Winter Sports Injuries and Performance
- Transportation Planning and Optimization
Harbin Medical University
2024
North Minzu University
2024
Shihezi University
2021-2024
Tianjin University
2024
Xinjiang Production and Construction Corps
2024
China Academy of Space Technology
2012-2023
Ministry of Agriculture and Rural Affairs
2023
Sinosteel (China)
2023
Shanghai Industrial Technology Institute
2022
China University of Geosciences
2022
In addressing the control of asynchronous motors in remote conductivity fertigation machines, this study proposes a joint strategy based on Fast Terminal Sliding Mode Control-Disturbance Observer (FTSMC-DO) system for motors. The goal is to enhance dynamic performance and disturbance resistance motors, particularly under low-speed operating conditions. approach involves refining two-degree-of-freedom internal model controller using fractional-order functions explicitly separate controller’s...
This paper proposes a hyperspectral soil nutrient estimation method based on the bat algorithm (BA)-AdaBoost model. The spectral reflectance, first derivative of and reciprocal logarithm reflectance are analyzed 800 field samples their data collected. sensitive band was extracted using correlation coefficient method, content organic matter, phosphorus, potassium solved. BA is used to optimize two core parameters AdaBoost model (i.e., maximum number iterations (n) weight reduction (v) weak...
In this letter, we investigated an inversion technique to estimate snow water equivalence (SWE) under Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E) sensor configurations. Through our numerical simulations by the advanced integral equation model (AIEM), found that ground surface emission signals at 18.7 and 36.5 GHz were highly correlated regardless of properties (dielectric roughness properties) can be well described a linear function. It leads new development...
A method of soil moisture and organic matter content detection based on hyperspectral technology is proposed. total 800 different samples data were collected in the laboratory from field. database was established. After wavelet denoising principal component analysis (PCA) preprocessing, convolutional neural network (CNN) module first used to extract wavelength features data. Then, long- short-memory (LSTM) feature bands nearby hidden state vectors. At same time, genetic algorithm (GA)...
Abstract. Atmospheric chromophoric organic matter (COM) plays a fundamental role in photochemistry and aerosol aging. However, the effects of photodegradation on chemical components photochemical reactivity COM remain unresolved. Here, we report potential carbon contents, optical properties, fluorophore aerosol. After 7 d photodegradation, fluorescent intensity absorption coefficient decrease by 71.4 % 32.0 %, respectively. Photodegradation makes difference to component chromophore degree...
Because of increasing marine intrusion into the Pearl River Estuary (PRE) in China, salinity has become one important and necessary hydrological water quality monitoring parameters. In this research, we examined relationships between reflectance from Earth Observing-1 (EO-1) Advanced Land Imager (ALI) satellite imagery total suspended solids (TSS) based on synchronous situ spectra analysis river water, an attempt to detect using remote sensing technique. The study site was Modaomen Waterway...
The technique of microwave remote sensing has been used to monitor the soil frozen/thawed status for many years. dielectric constant frozen is relatively lower than that unfrozen soil, so could penetrate deeper into soil. However, we are still lack knowledge Microwave Penetration Depth (MPD) In this study, a noncoherent radiation was find factors influence MPD and then validated by experiments. results showed frequency microwave, temperature texture main determine An empirical model...
To improve the accuracy of calculating aluminum electrolysis pre-close wind volume, this study focused on optimizing two main factors that influence its magnitude: output speed and volume coefficient. First, Unscented Kalman Filter (UKF) algorithm was used to estimate speed, application in real production verified through simulation experiments. The results demonstrate UKF provides more accurate estimates when handling non-linear dynamic system electrolysis. When there a sudden change...
A multi-frequency microwave radiometer has been built to study the remote sensing of soil, snow and vegetation cover. Its accuracy stability tested. This article described performance its design components. Two absolute calibration methods a relative method results are introduced. The theoretical practical measured brightness temperature is in range 0.3 K-1.0 K. It proved be reliable helpful researches.
Accurately estimating soil nutrient content, including organic matter (OM), nitrogen (N), phosphorus (P), and potassium (K) levels, is crucial for optimizing agricultural practices ensuring sustainable crop production. This paper proposes a model based on fusion attention mechanism that combines bidirectional gated recurrent units (BiGRU) neural networks (RNN) to estimate content. The proposed integrates the fused with BiGRU RNN enhance accuracy effectiveness of prediction. captures key...
Snow depth (SD) is an important input parameter for snow cover hydrologic model and climate model. In China, the volume affected by plateau different geographical situation, which shows specific rules characteristics in space time distribution. Consequently, it very necessary to dynamically estimate of China area. this paper, we use passive microwave through analysis on time, environment zone added impact pixel, high-frequency (89.0 GHz) accuracy inversion basis Chang's classical algorithm...
Real-time rendering of large scale vector maps over terrain surfaces requires displaying substantial numbers polylines and polygons. The proposed approach simplifies such maps, permitting more efficient reducing latency in the display manipulation a virtual environment.
Snow mapping is of great importance in meteorological, hydrology and global change researches. In the heavy snow event 2008 south China, optic remote sensing fails to map cover due existence thick clouds, traditional passive microwave detection algorithm could only be used for dry snow. Therefore, snowcover China where snowpacks are mostly wet, shallow snow, AMSR-E brightness temperatures from Jan 1 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML"...
Abstract Up to 2015, the number of oil wells has reached more than 200,000 for CNPC. It is estimated that conventional beam pumping units are applied 87% wells. The traditional pumps suffer from eccentric wear between sucker rod and tubing high electricity power cost, especially deviated horizontal In this paper, we introduced a new artificial lift system, electric submersible progressive cavity pump (ESPCP), solve these problems. system includes driven by downhole permanent magnet...