To clarify the subduction dynamic process of the Paleo-Pacific Plate, the residual effects of
Mudanjiang Ocean closure, and the superposition relationship of regional tectonic domains, and to accurately reconstruct
the Mesozoic tectonic evolution framework of the Northeast Asian continental margin, systematic studies including
field geology, petrography, zircon U-Pb geochronology and whole-rock geochemistry were carried out on the newly identified Zhongxing Forest Farm granitoids of the Luobei Heilongjiang Complex. The research determined the
formation age and petrogenesis of the granitoids, aiming to find out the emplacement age of the dykes and discuss
their petrogenesis and geodynamic setting. The results show that the Zhongxing Forest Farm granitoids are biotite
granodiorites, which occur as dykes intruding into the metaclastic rock matrix of Heilongjiang Complex in the field.
Zircon LA-ICP-MS U-Pb dating results indicate that the Zhongxing Forest Farm granodiorites crystallized at
(103 ±1) Ma, revealing that the Heilongjiang Complex had been emplaced between the Songliao Block and the
Jiamusi Block prior to the Early Cretaceous. The Early Cretaceous granodiorites from the Zhongxing Forest Farm
belong to the metaluminous calc-alkaline series, with w (Na2
O) > 3. 2%, A/ CNK < 0. 85, Ga/ Al < 2. 6 ×104,
w (Zr) < 250 ×10-6 and no corundum in CIPW normative minerals, suggesting that they are I-type granites. The
trace element ratios of the granodiorites are close to those of the lower crust, and their Zr-saturation temperatures
fall into the category of high-temperature I-type granites. The granodiorites display a flat heavy rare earth element
(HREE) distribution pattern, significant depletion in Ti and P, and a slight negative Eu anomaly, indicating that
their magmas were derived from the mafic lower crust and experienced fractional crystallization of Ti-rich minerals,
apatite, plagioclase and other minerals. Combined with the regional magmatic rock assemblages and tectonic
characteristics, it is concluded that the formation of the Early Cretaceous granodiorites in the Zhongxing Forest Farm
is closely related to the back-arc extension associated with the subduction of the Paleo-Pacific Plate.
In order to systematically reveal the spatial distribution and enrichment patterns of the deep ore
bodies in the Sanhe lead-zinc deposit in Genhe City, Inner Mongolia, and to guide the deep prospecting and prediction
work in the mining area, the authors employed three-dimensional geological modeling technology and combined it
with tectonic movements to conduct in-depth research on the largest and most valuable No. 1 ore body in the mining
area. Through systematic collection and organization of geological data such as exploration reports, drilling data,
cross-sectional diagrams, etc. In the mining area, a standardized geological database was constructed. At the same
time, using the 3DMine mining software, a three-dimensional solid model and block model of the No. 1 ore body
were established, and the grade and thickness attributes of Pb, Zn, and Ag in the block model were assigned using
the distance power inverse ratio method, achieving the three-dimensional digital representation of mineralization
information. Combined with the regional tectonic movement background, a comprehensive analysis was conducted
on the controlling structures and mineralization enrichment patterns. The research results show that the morphology,
occurrence, and enrichment degree of the No. 1 ore body are strictly controlled by the NWW direction ore-forming
fault zone. The ore body can be divided into 3 distinct mineralization enrichment sections in the strike direction, and
4 mineralization enrichment sections in the dip direction. The mineralization enrichment areas were mainly developed in
the NWW direction in the strike direction and the SW direction in the dip direction. The sections where the local
tensile effect of the fracture zone is intense, especially those where the strike and dip directions of the tensile zone
overlap, are the most favorable spaces for the accumulation and precipitation of ore-forming fluids, and are the core
areas of mineralization enrichment. Based on the comprehensive three-dimensional model, the morphology of the
ore body, the pattern of grade enrichment, and the analysis of tectonic control on mineralization, this study has
identified four ore-forming target areas with significant exploration potential in the deep part of the No. 1 ore body.
To clarify the priority order of exploration for the target areas, a semi-quantitative classification system based on the
sufficiency of geological basis, the reliability of spatial inference, and the relevance of exploration engineering was
established. It was divided into two categories: Ⅰ-level target areas and Ⅱ-level target areas. The Ⅰ-level target
areas are given priority for drilling verification.
Taking the Yuerya-Xiaoyingzi ore concentration area in Hebei Province as research object, the authors systematically analyze the mineralization regularity and prospecting direction of gold and polymetallic deposits
combined with exploration results of typical deposits in the region based on 1 ∶ 50 000 water series sediment
geochemical survey. The study area is located at the northern margin of North China Craton and controlled by
Yanshanian tectonic-magmatic activities. The strata are mainly Archean Qianxi Group and Mesoproterozoic with
well-developed fault structures, which provide both thermal sources and ore-hosting spaces for gold mineralization.
Through the delineation and classification of geochemical anomaly, 34 anomalies were identified and categorized
into class A, B, C, and D. Class A anomalies (e. g., Yuerya and Huajian gold deposits) have been confirmed as
mineralized targets, while class B anomalies (e. g., Cuizhangzi and Qidaohe), though partially non-mineralized,
show potential mineralization through their coupling with favorable geological settings. Geochemical studies of typical
deposits (Yuerya, Huajian, and Changcheng gold deposits) reveal that Au and Ag serve as direct indicator
elements, As, Sb and Hg indicate blind ores, Cu, Pb and Zn reflect polymetallic superposition, and Bi marks
orebody tails. Gold anomaly zones exhibit NW-trending distribution, and controlled by NE- and NW-trending
faults, with elemental association characteristics reflecting deposit scale and grade. Combined with regional geological
setting, it is confirmed Archean metamorphic rocks as the primary source beds, with Yanshanian tectono-magmatic
activities driving Au enrichment. Three prospecting targets (Cuizhangzi, Longxinzhuang, and Damaping) were
selected based on their complex elemental associations (Au, Hg, Ag, etc. ), 3 + level concentration zonation,
geological environments analogous to known deposits, and developed fault systems. This research reveals the
coupling mechanism between metallogenic geological conditions and geochemical anomalies in the ore concentration
area, and establishes geochemical prospecting criteria for magmatic-hydrothermal gold deposits .
Aiming to reveal the activity patterns of volcanic eruption cycle in the 3rd Member of Yingcheng
Formation (K1
y3) and to characterize basin filling during the final stage of rifting, and also provides scientific
references for refined exploration of deep hydrocarbon resources. To achieve these objectives, the authors conducted
a systematic study of the volcanic eruption cycle in the K1
y3 by utilizing methods such as field section observation,
core analysis, thin-section identification, and geochemical analysis. Research indicates that three distinct volcanic
eruption cycles are developed in the K1
y3 within the southeastern uplift of the Songliao Basin, and their stratigraphic
succession is clearly defined. The lower cycle (C-I) consists mainly of acidic pyroclastic rocks interlayered rhyo
lite, the middle cycle (C-II) is dominated by intermediate-basic lava with interbedded pyroclastic, and the upper
cycle (C-III) is composed of acidic lava with associated pyroclastic units. Geochemically, C-I and C-III exhibit
similar characteristics; they are Si- and K-rich and belong to the potassic to high-K calc-alkaline series. Both
cycles display pronounced LREE/ HREE fractionation, marked negative Eu anomalies, strong enrichment in Pb as
well as other large-ion lithophile elements (e. g., Rb, K), and notable depletion in Ti, Ce, Eu, Sr, and P, along
with other HFSE. In contrast, C-II is characterized by Na-rich and high-Al, and belongs to the sodic alkaline
calc-alkaline series. It shows high total REE and pronounced LREE-HREE fractionation but lacks a significant Eu
anomaly. The cycle is enriched in Ba, K, and Pb, while displaying strong depletion in Ti and notable deficits in
Th, Nb, Ta, and other HFSE. These characteristics suggest that the K1
y3 volcanic rocks were generated in an
intraplate continental rift setting influenced by subduction of the Pacific Plate beneath the Eurasian margin. The
magmas of C-I and C-III were likely derived from the partial melting of the lower crust, whereas C-II was
originated from a depleted mantle source and underwent significant fractional crystallization. The three cycles show
distinct geochemical signatures and lack continuous evolutionary relationships. C-I records early episodic acidic
eruptions accompanied by reworked volcanic deposits. C-II reflects large-scale and relatively steady eruptions of
intermediate-basic lava. C-III represents extensive acidic volcanism during the waning stage of lower crustal melting
and heat supply.
The tight sandstone reservoirs of Shuixigou Group in Shengbei Sag of Taibei Depression, Turpan
Hami Basin, represent a key target interval for hydrocarbon exploration in the basin, where overpressure is extensively
developed. To systematically analyze the genetic mechanisms of overpressure in this interval, the authors compre
hensively employed multiple methodologies, including comprehensive logging curve analysis, acoustic velocity
density cross-plot analysis, porosity contrast method, pressure calculation inversion method, and fluid inclusion
paleopressure reconstruction method. The results indicate that overpressure is predominantly distributed within the
depth range of 2 000-5 500 m in Shengbei Sag, with a pressure coefficient ranging from 1. 2 to 1. 5, and two primary
genetic types of overpressure have been identified, namely undercompaction-induced overpressure caused by rapid
sedimentation and mudstone sealing and hydrocarbon generation-induced overpressure generated by hydrocarbon
generation and expulsion processes; combined with the geological data of the study area, comprehensive logging
curves analysis and porosity contrast method are determined to be the most suitable approaches for investigating
overpressure genesis herein, where the former identifies overpressured intervals by characterizing the response
features of logging curves such as acoustic transit time and resistivity curves, while the latter infers the presence of
pressure sealing and further inverts the intensity and distribution range of overpressure by comparing the deviation of
measured porosity from the theoretical compaction trend. Furthermore, the effects of overpressure on reservoir
quality were investigated using techniques such as casting thin section observation, physical property testing, and
microscopic characterization of fluid inclusions, and the results demonstrate that hydrocarbon generation-induced
overpressure exerts a significant constructive effect on the reservoirs, on the one hand, this type of overpressure can
induce the development of microfracture systems in rocks, which effectively improves the permeability of tight
sandstones and provides preferential pathways for hydrocarbon migration; on the other hand, organic acids released
during hydrocarbon generation can dissolve reservoir minerals such as feldspar, forming abundant intragranular
dissolved pores and thus optimizing the reservoir space, while the primary pores preserved by undercompaction also
constitute one of the critical factors for the formation of abnormally high-porosity zones.
To clarify the pore structure characteristics, pore heterogeneity, and to reveal the main controlling
factors of fractal characteristics of the tight shale reservoirs of Qingshankou Formation in northern Songliao Basin.
The authors took the tight shale reservoirs of Qingshankou Formation in northern Songliao Basin as the research
object, a variety of analytical methods including X-ray diffraction (XRD), total organic carbon (TOC) test,
nitrogen adsorption-desorption experiment, and mercury intrusion porosimetry were used to systematically analyze
the pore structure, organic carbon content, and pore structure parameters of shale samples. Fractal theory was
adopted to calculate the fractal dimensions of different pore size intervals (micropores, mesopores, macropores, and
macro-macropores) as well as the comprehensive fractal dimension (Ds), and the correlation between pore fractal
characteristics and mineral composition, w (TOC), specific surface area, and average pore size was thoroughly
explored. The results show that the mineral composition of shale samples in the study area is dominated by clay min
erals and felsic minerals, and the reservoir space is mainly intergranular pores of clay minerals. The pores are charac
terized by good sorting and fine skewness, with micropores and mesopores (pore size < 50 nm) as the dominant
types, while only a small amount of macro-macropores are developed. The fractal dimension of micropores ranges
from 2. 47 to 2. 88 with an average of 2. 71; that of mesopores ranges from 2. 41 to 2. 53 with an average of 2. 46;
that of macropores ranges from 2. 07 to 2. 88 with an average of 2. 26; and that of macro-macropores ranges from
2. 46 to 3. 08 with an average of 2. 75. The comprehensive fractal dimension (Ds) varies from 2. 41 to 2. 55 with an
average of 2. 47. In general, the pores of shale samples in study area are relatively complex with strong heterogeneity.
Moreover, the fractal dimension has different degrees of correlation with clay mineral content, w (TOC), specific
surface area, and average pore size, among which the correlation with the fractal dimension of mesopores is the
highest. This indicates that mesopores are the main contributor to the reservoir space of shale samples in study area.
To finely characterize the reservoir structure of unconfined slope channels in gravity flow deposits of
Baiyun Sag, Pearl River Mouth Basin, the authors took the X Gas Field in Baiyun Sag as the research object.
Comprehensive use was made of core, logging, seismic inversion and other data to study the internal structure and
quantitative characteristics of unconfined channel reservoirs at different levels. A fine characterization method for
the internal structure of unconfined channels was established, and the contacted and connected relationship of
channel sandbodies were revealed. The research results show that: ① The study area mainly develops medium-fine-grained feldspathic quartz sandstone. Core grain size data points are basically parallel to the C = M baseline, with
massive mud gravels and intense bioturbation without obvious incised bedforms, indicating an unconfined channel
system. ② The channel system in the study area develops four composite channel sequences, multiple composite
channels and isolated channels. The width of composite channel sequences is on the kilometer scale, with an aspect
ratio of 133-136. The width of composite channels is approximately 1 000 m, with an aspect ratio of 10-55. The
scale of solated channels is difficult to determine, with a width of about 50-100 m and an aspect ratio of 4-8.
③There are four superposition modes of sandbodies inside the unconfined channels, including vertical isolated,
channel-channel lateral superimposed, channel-channel lateral juxtaposed, and isolated channels. Among them,
the incised-superimposed reservoir structure has the best connectivity, the juxtaposed reservoir structure has good
connectivity, and the isolated reservoir structure is disconnected. This research achievement can be used to guide
the precise development and development adjustment of oil and gas fields in unconfined gravity flow channels.
To further elucidate the microscopic mechanism by which supercritical carbon dioxide (SCCO2
)
alleviates water-lock in tight sandstones, the authors selected tight sandstones from the Shahezi Formation in Lishu
Fault Depression of Songliao Basin as the study object and systematically investigated the changes in pore structure
and water occurrence state of the reservoir during water saturation, water-locking formation, conventional N2
flooding,
and SCCO2
miscible treatment. The experiments comprised vacuum water saturation and high-pressure water-retention
water-lock simulation, N2
flooding under different pressure differentials, water-SCCO2
miscible treatment followed by
N2
gas flooding, and together with nuclear magnetic resonance (NMR) T2
spectrum inversion, pore size distribution
analysis, and cast thin-section observations, quantitatively characterized the stage-by-stage variations in porosity, pore
throat scale, and movable water proportion. Water saturation experiments indicate that the initial water saturation of the
tight sandstone is lower than the bound-water saturation, and the water-phase invasion process can be divided into
three stages: 1 min to 5 min is a rapid saturation stage, during which a large amount of water rapidly occupies
micro-nano pores; 5 min to 5 h is a slow invasion stage with continuously increasing water content; after 5 h, the
system becomes essentially stable, suggesting a short formation time and strong stability of the water-locking.
Conventional N2
flooding exhibits pronounced pore-size selectivity: when the pressure differential reaches 3 MPa,
water in large pores ( >300 nm) is displaced first; when the pressure differential increases to 4-6 MPa, water in
80-300 nm pores is only partially removed, whereas water in finer pores remains difficult to displace, and the
overall flooding efficiency remains below ~30%. SCCO2
miscible treatment markedly alters the pore-throat structure
of the cores: the low viscosity and high diffusivity of SCCO2
enable it to enter dominant flow pathways and react with
carbonate cements in pores via acid dissolution, resulting in a 40%-80% increase in porosity, an enlarged mean
pore-throat radius, and enhanced pore connectivity. The results demonstrate that, after SCCO2
treatment, the sand
stone pore system becomes more open and the degree of water-phase confinement decreases; compared with conven
tional N2
flooding, the miscible-treatment-gas-flooding combination is more favorable for alleviating water-locking in
micro-nano pores, and this coupled workflow shows clear advantages in improving pore structure and enhancing
flooding efficiency in tight sandstones.
Based on the petrophysical characteristics of volcanic rocks of the Guantao Formation in Shaxibei
Structural Belt, the authors primarily classify them into two major types ( basalt and tuff) with significant
differences in their petrophysical parameters. Basalt exhibits high-velocity and high-density characteristics, partially
overlapping with sandstone in certain areas, whereas tuff is indistinguishable from sandy mudstone in terms of both
velocity and density. To address the identification challenges caused by the overlap of petrophysical parameters
among volcanic rocks, the authors propose a frequency division inversion method based on split phase reconstruction
combined with seismic inversion technology, which can accurately identify volcanic rocks with multi-level and multi
parameter. The approach first utilizes the high-velocity and high-density characteristics of basalt, preferentially
selecting the 90° phase component of seismic data for phase-reconstruction based inversion to amplify subtle impedance
variations and clearly delineate basalt boundaries. Subsequently, by integrating the low gamma-ray response
characteristic of volcanic rocks, the reconstructed seismic data combining 0° and 90° phases are used as training
samples to conduct nonlinear frequency-division inversion, thereby effectively enhancing the overall identification
accuracy of volcanic rocks. This technique enhances the inversion technology of volcanic rocks, overcomes the
limitations of insufficient accuracy in single-parameter inversion and the poor representativeness of samples in
nonlinear inversion, achieving precise multi-parameter and multi-level characterization of volcanic rocks. Practical
application shows that through refined delineation of volcanic rock boundaries, multiple structural-lithological traps
have been newly identified in Shaxibei structural belt. Based on these findings, an exploration well targeting a new
sequence was deployed and successfully encountered oil-bearing zones, not only validating the effectiveness of the
traps but also significantly improving exploration efficiency in this volcanic-rich zone, and providing effective decision
making scheme for well location design, well location optimization and reservoir discovery.
To investigate the spatiotemporal changes in carbon storage within the Heilongjiang watershed and
simulate future carbon storage under different scenarios, the authors compare three cellular automata models in
study area. The patch generating land use simulation (PLUS) model, integrated with the integrated valuation of
ecosystem services and trade-offs (InVEST) model, was selected and applied to simulate future land use and land
cover (LULC) and carbon storage dynamics in the Heilongjiang watershed. The results of large-scale transnational
LULC evolution and carbon storage change indicate that: ① The PLUS model demonstrated high accuracy for large
scale transnational LULC simulation in the Heilongjiang watershed (OA = 0. 897 2, Kappa = 0. 842 6). ② From
2000 to 2020, land cover changes in the basin were primarily characterized by conversions among forest land,
cropland, and grassland, while artificial surfaces expanded rapidly, encroaching on cropland area. Temperature
and precipitation were important driving factors for the expansion of forest land, grassland, and cropland, and
cropland expansion was also strongly related to GDP. ③ The coupled PLUS-InVEST model enabled the analysis and
prediction of carbon storage changes in the Heilongjiang watershed. From 2000 to 2020, carbon storage within the
basin initially decreased and then increased, with an overall reduction of 3. 171 × 107 t. Specifically, carbon
storage decreased by 1. 930 × 107 t in Chinese portion, 0. 090 × 107 t in Russian portion, and 0. 017 × 107 t in
Mongolian portion. Scenario-based projections of LULC and carbon storage for 2030 shows that the ecological
protection priority scenario yielded the highest carbon storage, reaching 619. 350 ×107 t. Within this total, Chinese
portion increased 0. 530 × 107 t, reaching 325. 110 × 107 t, Russian portion increased 0. 010 × 107 t, reaching
249. 250 ×107 t, while Mongolian portion decreased 0. 180 ×107 t, reaching 44. 990 ×107 t. The study highlights
the importance of both human activities and the natural environment in achieving carbon neutrality and suggests that
ecological protection measures should be implemented to enhance regional carbon storage levels.
In order to ensure the stability of the foundation pit and prevent geological disasters such as ground
collapse and landslides, it is crucial to implement long-term and continuous deformation monitoring. The Leica
TS60 measurement robot, as a high-precision monitoring device, is widely used in various deformation monitoring
tasks and can achieve automated, high-frequency data collection. However, during practical application, the device still has certain limitations, primarily reflected in poor real-time data transmission, inability to perform real-time data
processing and analysis, etc. To address the aforementioned engineering application issues, a comprehensive and
intelligent deformation monitoring system was developed by leveraging the (geodetic communication, GeoCOM)
development interface provided by the Leica TS60, combined with mobile internet and cloud computing technologies.
This system establishes communication connections with the TS60 measurement robot using Android Bluetooth
communication technology, enabling wireless control and real-time data acquisition of the TS60. Data collection and
error calculations are performed via a mobile APP, while qualified data is saved in JSON format and uploaded to a cloud
server for storage and management in a MySQL database. On the Web-side software, functions such as deformation
quantity calculation, deformation error statistics, GM (1, 1) model-based deformation trend analysis, deformation
prediction and warning, and automatic generation of monitoring daily reports are implemented. Application testing
results demonstrate that the system can achieve high-precision data collection and automated processing of deforma
tion data, reducing manual intervention and improving deformation monitoring efficiency. Additionally, the defor
mation prediction results generated by the system align with those from the professional statistical analysis software
SPSSpro, confirming the reliability of its analysis and prediction module.
Accurate detection of goaf is the core link to ensure mine safety and ecological environment restoration.
In view of the serious multi-solution of single geophysical method, there are problems of insufficient resolution and large depth error in goaf identification, the authors propose a cross-gradient joint inversion method with normalization
operator. Comprehensive utilization of three kinds of geophysical data advantage information (gravity, seismic and
transient electromagnetic method), the interference of dimensional differences of different physical parameters on
structural coupling is overcome by embedding a normalization operator in the cross-gradient function. Lagrange
multiplier method is used to transform the structural constraints into optimization problems, and the simultaneous
inversion of multiple physical parameters is realized. The model test shows that the accuracy of the joint inversion
results is significantly improved in the deep adjacent small-scale goaf model. The accuracy is calculated by the relative
difference between the inversion results and the real physical property distribution, and the accuracy of gravity data
is improved by 50. 53%, the accuracy of electrical data improved by 21. 22%, the accuracy of seismic data
improved by 13. 65%, respectively. False anomaly is effectively suppressed, and the boundary of the goaf is more
clearly depicted. Noise resistance tests demonstrate that, the location and extent of the goaf are still reliably identified
by the joint inversion under 10% random noise, false anomalies appear only in the surrounding rock that lacks any
abnormal physical properties, indicating good stability and practical utility of the proposed method. Method is
applied to the measured data of coal mine goaf. The horizontal position (2 150-2 520 m) and depth range (40-80 m)
of the goaf given by the joint inversion are highly consistent with the known geological data, which verifies the
reliability and engineering practicability of the method. Study results show that the method can significantly improve
both the accuracy and the resolution of goaf detection, offering a new technical tool for the safe monitoring and
management of coal mine goaf.
To achieve the sustainable utilization of geothermal resources, avoid thermal breakthrough caused by
low-temperature reinjection water, and ensure its long-term stable exploitation, the authors systematically evaluate the total reserves and exploitable potential of geothermal resources in Tonghe County, Heilongjiang rely on comprehensive
geological exploration and well-logging data using the heat storage method. On this basis, a three-dimensional
numerical model was constructed on the COMSOL Multiphysics platform, incorporating stratigraphic structure,
hydrothermal coupling mechanisms, and reinjection boundary conditions. The model dimensions are 1 600 m ×
1 200 m ×500 m,with a burial depth of approximately 1 400 m, and the central aquifer-type reservoir has a thickness
of 174 m. An exploitation mode of “one injection-one production” was adopted, combined with a cyclic injection
production operation scheme, in which reinjection and production wells operated at equal flow rates. The evolution
regularity of the reservoir temperature field under different combinations of production and reinjection rate and well
spacing was comprehensively analyzed. The migration path of the cold-water front and its impact on production well
temperature were examined, with a temperature drop of 2 ℃ at the production well defined as the criterion for ther
mal breakthrough, thereby determining reasonable parameters for well spacing and production and reinjection rate.
The results show that the total geothermal heat storage in Tonghe County is approximately 2. 07 × 1018 J, with
exploitable resources equivalent to 2. 17 ×107 t of standard coal, indicating significant development potential. The
simulations further reveal that the cold front generated by reinjection of low-temperature reinjection water progres
sively advances toward the production well over operation time. Excessively small well spacing or overly high
production and reinjection rate aggravates thermal interference and induces premature thermal breakthrough, there
by reducing system service life and heat exchange stability. To ensure 100 years of continuous operation without
thermal break-through, the minimum safe well spacing must be strictly matched with the production and reinjection
rate. Specifically, when the rate is 30 m3 / h, the well spacing must exceed 300 m, and for rates of 40, 60, 80,
100, and 120 m3 /h, the required well spacing should increase correspondingly to 350, 400, 450, 500, and 550 m,
respectively.
Founded in 1982, Quarterly Governed by: Ministry of Education of the People’s Republic of China Sponsored by: International Center for Geoscience Research and Education in Northeast Asia, Jilin University Editor-in-Chief: SUN Fengyue ISSN 1004-5589 CN 22-1111/P