Subjects: Mine Engineering Technology >> Other Disciplines of Mining Engineering submitted time 2024-07-08
Abstract： Simulation of subsurface energy system involves multi-physical processes such as thermal, hydraulical, and
mechanical (THM) processes, and requires a so-called THM coupled modeling approach. THM coupled modeling
is commonly performed in geothermal energy production. However, for hydrocarbon extraction, we need to
consider multiphase flow additionally. In this paper, we describe a three-dimensional numerical model of non-
isothermal two-phase flow in the deformable porous medium by integrating governing equations of two-phase
mixture in the porous media flow in the reservoir. To account for inter-woven impacts in subsurface condi-
tions, we introduced a temperature-dependent fluid viscosity and a fluid density along with a strain-dependent
reservoir permeability. Subsequently, we performed numerical experiments of a ten-year water flooding pro-
cess employing the open-source parallelized code, OpenGeoSys. We considered different well patterns with colder
water injection in realistic scenarios. Our results demonstrate that our model can simulate complex interactions of
temperature, pore pressure, subsurface stress and water saturation simultaneously to evaluate the recovery per-
formance. High temperature can promote fluid flow while cold water injection under non-isothermal conditions
causes the normal stress reduction by significant thermal stress. Under different well patterns the displacement
efficiency will be changed by the relative location between injection and production wells. This finding has
provided the important reference for fluid flow and induced stress evolution during hydrocarbon exploitation
under the environment of large reservoir depth and high temperature.
Subjects: Mine Engineering Technology >> Other Disciplines of Mining Engineering submitted time 2024-07-08
Abstract： Rockburst is a phenomenon where sudden, catastrophic failure of the rock mass occurs in underground deep regions or areas with high tectonic stress during the excavation process. Rockburst disasters endanger the safety of people’s lives and property, national energy security, and social interests, so it is very important to accurately predict rockburst. Traditional rockburst prediction has not been able to find an effective prediction method, and the study of the rockburst mechanism is facing a dilemma. With the development of artificial intelligence (AI) techniques in recent years, more and more experts and scholars have begun to introduce AI techniques into the study of the rockburst mechanism. In previous research, several scholars have attempted to summarize the application of AI techniques in rockburst prediction. However, these studies either are not specifically focused on reviews of the application of AI techniques in rockburst prediction, or they do not provide a comprehensive overview. Drawing on the advantages of extensive interdisciplinary research and a deep understanding of AI techniques, this paper conducts a comprehensive review of rockburst prediction methods leveraging AI techniques. Firstly, pertinent definitions of rockburst and its associated hazards are introduced. Subsequently, the applications of both traditional prediction methods and those rooted in AI techniques for rockburst prediction are summarized, with emphasis placed on the respective advantages and disadvantages of each approach. Finally, the strengths and weaknesses of prediction methods leveraging AI are summarized, alongside forecasting future research trends to address existing challenges, while simultaneously proposing directions for improvement to advance the field and meet emerging demands effectively.
Subjects: Mine Engineering Technology >> Other Disciplines of Mining Engineering submitted time 2024-07-08
Wenjie Xu
Yingtao Hu
Yunmin Chen
Liangtong Zhan
Ruiqi Chen
Jinlong Li
Duanyang Zhuang
Qingdong Li
Ke Li
Abstract： Hyper-gravity experiment enable the acceleration of the long-term transport of contaminants through fractured geological barriers. However, the hyper-gravity effect of the solute transport in fractures are not well understood. In this study, the sealed control apparatus and the 3D printed fracture models were used to carry out 1 g and N g hyper-gravity experiments. The results show that the breakthrough curves for the 1 g and N g experiments were almost the same. The differences in the flow velocity and the fitted hydrodynamic dispersion coefficient were 0.97-3.12% and 9.09-20.4%, indicating that the internal fractures of the 3D printed fracture models remained stable under hyper-gravity, and the differences in the flow and solute transport characteristics were acceptable. A method for evaluating the long-term barrier performance of low-permeability fractured rocks was proposed based on the hyper-gravity experiment. The solute transport processes in the 1 g prototype, 1 g scaled model, and N g scaled model were simulated by the OpenGeoSys (OGS) software. The results show that the N g scaled model can reproduce the flow and solute transport processes in the 1 g prototype without considering the micro-scale heterogeneity if the Reynolds number (Re) � critical Reynolds number (Recr) and the Peclet number (Pe) � the critical Peclet number (Pecr). This insight is valuable for carrying out hyper-gravity experiments to evaluate the long-term barrier performance of low-permeability fractured porous rock.
Subjects: Mine Engineering Technology >> Other Disciplines of Mining Engineering submitted time 2024-07-08
Abstract： The key to achieving rockburst warning lies in the understanding of rockburst precursors. Considering the correlation characteristics of rockburst acoustic emission (AE) parameters, a self-organizing map neural network (SOMNN) based method for rockburst precursor inversion was proposed. The feature of this method lies in a cyclic data segmentation iteration process based on the thinking of "interference signal screening", "key signal extraction", and "precursor signal inversion". The rationality of this method has been verified in three groups of rockburst experiments. The results revealed that rockburst AE precursor signals consist of a series of signals characterized by long duration, high energy, low average frequency, high energy amplitude, and low peak frequency. Subsequently, potential value in long term rockburst warning of the precursor obtained in this study was shown via the comparison of conventional precursors. Finally, a preliminary interpretation for rockburst precursor was proposed under the framework of AE parameters physical significance, and it is revealed that AE precursor signals are likely linked to the creation of large-scale tensile cracks before rockburst
Subjects: Mine Engineering Technology >> Other Disciplines of Mining Engineering submitted time 2024-07-08
Abstract： Broken coal and rock (BCR) are an important component medium of the caving zone in the goaf (or gob), as well as the main filling material of fault fracture zone and collapse column. The compaction seepage characteristics of BCR directly affect the safe and efficient mining of coal mines. Thus, numerous laboratory studies have focused on the compaction seepage characteristics of BCR. This paper first outlines the engineering problems involved in the BCR during coal mining including the air leakage, the spontaneous combustion, the gas drainage, and the underground reservoirs in the goaf. Water inrush related to tectonics such as faults and collapse columns and surface subsidence related to coal gangue filling and mining also involve the compaction seepage characteristics of BCR. Based on the field problems of BCR, many attempts have been made to mimic field environments in laboratory tests. The experimental equipment (cavity size and shape, acoustic emission, CT, etc.) and experimental design for the BCR were firstly reviewed. The main objects of laboratory analysis can be divided into compression tests and seepage test. During the compaction test, the main research focuses on the bearing deformation characteristics (stress-strain curve), pore evolution characteristics, and re-crushing characteristics of BCR. The seepage test mainly uses gas or water as the main medium to study the evolution characteristics of permeability under different compaction stress conditions. In the laboratory tests, factors such as the type of coal and rock mass, particle size, particle shape, water pressure, temperature, and stress path are usually considered. The lateral compression test of BCR can be divided into three stages, including the self-adjustment stage, the broken stage, and the elastic stage or stable stage. At each stage, stress, deformation, porosity, energy, particle size and breakage rate all have their own characteristics. Seepage test regarding the water permeability experiment of BCR is actually belong to variable mass seepage. While the experimental test still focuses on the influence of stress on the pore structure of BCR in terms of gas permeability. Finally, future laboratory tests focus on the BCR related coal mining including scaling up, long term loading and water immersion, mining stress path matching were discussed.
Subjects: Medicine, Pharmacy >> Preventive Medicine and Hygienics submitted time 2024-07-07
Abstract： [Objective] To develop the behavioral scale and test its validity.
[Methods] Literature review and expert consultation were used. A questionnaire survey was conducted in 63 designated hospitals in various provinces and cities to determine the reliability and validity of the scale.
[Results] The formal scale consists of 28 items in 6 dimensions. Total table Cronbach’s α coefficient was 0.914, and Cronbach’s α coefficient of each dimension was 0.792 to 0.94-0.941; 6 factors were extracted from exploratory factor analysis, and the cumulative contribution rate was 73.084%. The scale had good structural validity (χ 2 / df = 4.534, RMSEA = 0.050, GFI=0.93, CFI = 0.963), content validity was 0.96 and content validity index of each item was 0.8 to 1.
[Conclusion] The children’s drug use behavior scale has good reliability and validity, which can be used to evaluate the safety and standardization of children’s drug use behavior, and provide reference for the standard management of children’s drug use.
Peer Review Status:
Awaiting Review
Subjects: Other Disciplines submitted time 2024-07-06
Abstract：
This paper summarizes the nursing experience of intractable abdominal distension and constipation treated with acupoint massage. Based on the dialectical care of traditional Chinese medicine, combined with routine nursing measures such as diet, mood, daily life, and health knowledge education, the clinical treatment of severe abdominal distension and constipation, and improve the quality of life of patients.
Peer Review Status:Awaiting Review
Subjects: Psychology >> Management Psychology submitted time 2024-07-06
Abstract： As the horror consumption industry expands, horror-related entertainment projects have become one of the most popular and profitable forms of entertainment. However, although horror films and horror challenge events appeal to some younger consumers, the majority of consumers show a reluctance to consume these products due to fear and dread. Therefore, from a practical standpoint, it is worth investigating which factors can increase or decrease consumers’ willingness to consume horror products. However, previous research mainly focused on examining the same-domain factors that drive consumers’ horror consumption preferences. Limited research studied the cross-domain factors that influence consumers’ preferences for horror consumption. To address this research gap, this paper examines how consumers’ horror consumption preferences are influenced by their experiences in a prior, unrelated context.
Specifically, this paper proposes that prior engagement in creative activities (versus non-creative activities) increases consumers’ preference for horror consumption, and self-efficacy mediates the cross-domain effect. Furthermore, this paper proposes that the cross-domain effect will be evident when consumers receive positive feedback regarding their creative performance, and when the creative activity is lowly difficult. Conversely, the effect will disappear when consumers receive negative feedback or when the creative activity is highly difficulty.
Across seven studies, we provide converging evidence for our propositions. Specifically, we find that engaging consumers in a creative activity can increase their preference for horror consumption (Studies 1~3) due to the increases in self-efficacy (Studies 4a~4b). Furthermore, the effect of engaging in creative activities on consumers’ preference for horror consumption disappears (is evident) when consumers receive negative (positive) feedback (Study 5) and when the creative activity is highly (lowly) difficult to complete (Study 6). Finally, the above results cannot be explained by alternative explanations such as mood (Study 2~3), motivation to seek new experiences (Study 4a), felt inspiration in creative activities and felt pleasure (Study 4b).
This paper makes several theoretical advances to prior research. First, it advances the literature on horror consumption by investigating the cross-domain factors that influence consumers’ preference for horror consumption. This exploration opens new avenues for studying consumers’ preferences for horror products. Second, this paper contributes to past creativity research by investigating how consumers’ behavior changes when they engage in a creative activity. The current research reveals a novel outcome of consumers’ engagement in creative activities: an increased preference for horror consumption. Finally, this paper contributes to self-efficacy research by establishing a linkage between engaging in creative activities and self-efficacy, and a linkage between self-efficacy and horror consumption. We contribute to prior literature by proposing that engaging in creative activities can boost self-efficacy. In addition, we show that increased self-efficacy can lead consumers to engage in horror consumption.
Subjects: Psychology >> Applied Psychology submitted time 2024-07-05
Abstract： The causal relationship between attention and value is a core topic in decision-making research. With advancements in computational modeling, particularly the application of the attentional Drift Diffusion Model (aDDM), researchers have found that attention can amplify the value of options to guide decisions, known as "choose what I see." However, the limitations and conflicting results of this model in practical applications have called this perspective into question, suggesting an alternative causal relationship—"see what I choose," where consumers make choices based on the value of items, with attention merely reflecting this value passively. This review aims to explore the application value of aDDM and its conflicting findings in elucidating the relationship of attention and value. The results revealed that, although aDDM provides concrete evidence for the "choose what I see" hypothesis, the strength of this evidence is not sufficient to fully support the view. Moreover, the modeling results uncover a more complex interaction between attention and value, suggesting a potentially bidirectional dynamic relationship between the two. Future research should refine the time windows of attention and investigate this causal relationship within a more open theoretical framework, while also considering its implications for consumer decision-making.
Peer Review Status:Awaiting Review
Subjects: Psychology >> Applied Psychology submitted time 2024-07-05
Abstract： Sensory cues, such as the color, flavor, and taste of food, play a crucial role in influencing individuals’ perceptions of food healthiness and their choices of healthy foods. However, traditional categorizations of sensory factors are insufficient for representing the diversity of food sensory perceptions in the context of new technology. Given this backdrop, food-related sensory factors can be divided into four types based on the distance of sensory organ detection and the nature of the sensory experience: proximal direct, proximal indirect, distal direct, and distal indirect sensory factors. The influence and mechanism of these sensory factors on food healthiness perception and healthy food choices vary. For distal senses, both direct and indirect sensory factors primarily operate through mental imagination, simulation, and cognitive mechanisms. In contrast, for proximal senses, direct sensory factors mainly impact through physiological arousal, brain reward, emotions, and memory, while indirect sensory factors still depend on mental imagination and simulation mechanisms. Additionally, sensory processing characteristics, exposure situations of sensory stimuli, and contexts for indirect experiences moderate the relationship between food sensory factors and psychological mechanisms. Furthermore, the type of food and individual characteristics can moderate the relationship between psychological mechanisms and perceptions of food healthiness and healthy food choices. Finally, future research directions are proposed based on this integrative framework.
Subjects: Library Science，Information Science >> Information Science submitted time 2024-07-04
Abstract： [Purpose/Significance] This study explores the change process of interdisciplinary integration under different development stages from multiple dimensions, which helps to enrich the research methods of interdisciplinary characteristics, dig out the core technologies and potential methods to promote interdisciplinary integration, and provide references for the formulation of interdisciplinary related policies. [Methodology/Process] A combination of bibliometrics and natural language processing was adopted in this paper. Coarse-grained analysis of interdisciplinary characteristics was conducted by using indicators of diversity, persistence, stability, and affinity. Simultaneously, fine-grained analysis of interdisciplinary characteristics was conducted: based on technology/method trigger verbs, combined with dependency syntax analysis and domain technical reports, technology/method elements are automatically extracted and filtered, then the results are mapped to disciplines to identify research methods and technical elements related to disciplines. [Results/Conclusion] Taking the digital humanities as an example for empirical analysis, the results indicate that the proposed method can effectively reveal the interdisciplinary characteristics within the field.
Subjects: Psychology >> Social Psychology submitted time 2024-07-04
Abstract： With the rapid development of artificial intelligence technology, short video applications have become rapidly popular around the world, and have attracted widespread attention and discussion as a national entertainment, social and information platform. On the one hand, people are amazed by the technological leap of the times, which makes people’s lives convenient and satisfies people’s yearning for a better life; On the other hand, this has also brought about a growing social problem - short video addiction. This article aims to explore the causes of short video addiction in the era of artificial intelligence and the marketing strategies behind it. First, through a literature review, this paper reveals how factors such as short video content design, algorithm recommendation mechanism, and user social interaction affect users’ viewing behavior, which in turn leads to addiction. Secondly, this paper analyzes in detail the marketing strategies used by short video platforms, including precise positioning, emotional marketing, community building, etc., and evaluates the impact of these strategies on users’ addictive behaviors. Finally, this paper puts forward corresponding countermeasures and suggestions to reduce the phenomenon of short video addiction and promote a healthy digital consumption environment.
Peer Review Status:Awaiting Review
Subjects: Geosciences >> Geography submitted time 2024-07-04 Cooperative journals: 《干旱区研究》
Abstract： Net Ecosystem Productivity (NEP) is a crucial indicator for assessing the arbon sequestration capacity of terrestrial ecosystems, and Land Use/Cover Change (LUCC) is a key factor influencing regional differences in carbon uptake. Analyzing the trends of LUCC and NEP is essential for achieving regional carbon peaking and carbon neutrality goals. Based on the LUCC and MODIS remote sensing data from 2000 to 2020 in the Aksu River Basin, the annual average carbon sequestration rate of each land use/cover type in the region was estimated. The LUCC for the next 40 years was simulated by the PLUS model, and the spatial and temporal trend of NEP for the next 40 years in the river basin was predicted. The results show that: (1) the total NEP in the basin has shown an increasing trend in the past 20 years, with an uptake rate of 0.136 Mt C·(10a)-1, and the average carbon sequestration rate of forest area is the highest; (2) the total carbon uptake in the Aksu River Basin will continue to increase in the future 40 years. The increase in forest area is the main way of increasing carbon uptake in the Aksu River Basin, and the positive role of ecological protection projects plays a key role in this process.
Subjects: Geosciences >> Geography submitted time 2024-07-04 Cooperative journals: 《干旱区研究》
Abstract： Lakes, as integral components of terrestrial ecosystems, are vital for regional economic growth and ecological security. Previous studies have primarily focused on typical or large lakes in the Xinjiang region, with comparatively less attention given to smaller lakes. This study analyzed the areal dynamics of 74 small and medium-sized lakes in Xinjiang from 1991 to 2020, conducting a comprehensive analysis of lakes at varying altitudes and with diverse geographical characteristics. The research uncovered that during 1991-2020, the total area of lakes in Xinjiang expanded from 167.98 km² to 400.51 km², with the most significant growth observed in mountainous lakes. Monthly scale analysis revealed pronounced seasonal characteristics in the areal changes of these mountainous lakes. Statistical analysis indicated divergent responses of lakes at different altitudes to climatic changes. The substantial enlargement of lakes in Xinjiang’s mountainous regions is primarily attributed to climate change, particularly the rise in average annual temperatures. In the plains, human activities, especially irrigation, were identified as the primary drivers of lake area changes, while the impact of climatic factors was relatively minor.
Subjects: Geosciences >> Geography submitted time 2024-07-04 Cooperative journals: 《干旱区研究》
Abstract： Soil nitrogen mineralization is a key process of soil nitrogen cycle, and temperature is one of the most important factors affecting soil nitrogen mineralization. Studying the effect of temperature on soil nitrogen mineralization characteristics in different successional stages is of great significance for understanding soil nitrogen cycle in terrestrial ecosystems. In this study, the communities in different successional stages of Xinglong Mountain in Gansu Province were taken as the research object. The indoor constant temperature aerobic culture method was used to study the soil nitrogen mineralization characteristics of five successional stages (grassland, shrub forest, Betula platyphylla forest, Picea wilsonii-Betula platyphylla forest and Picea wilsonii forest) under different temperatures (15 ℃, 25 ℃, 35 ℃). The results showed that: (1) Except for the 0~20 cm soil depth of grassland, the soil nitrogen mineralization rate of the other successional stages increased with the increase of temperature (15~35 ℃), and the cumulative mineralization of soil nitrogen in different successional stages increased with the increase of temperature. (2) With the positive advancement of succession, the soil nitrogen mineralization rate and cumulative mineralization amount of different successional stages showed a trend of increasing first and then decreasing. The soil nitrogen mineralization rate of Betula platyphylla forest was the highest, which was 1.63 times, 1.61 times, 1.25 times and 1.47 times that of grassland, shrub forest, Picea wilsonii-Betula platyphylla forest and Picea wilsonii forest, respectively. The soil nitrogen mineralization rate and cumulative mineralization amount of Picea wilsonii-Betula platyphylla forest were the highest, which were 0.68 times, 0.72 times, 0.84 times and 0.97 times of those of grassland, shrub forest, Betula platyphylla forest and Picea wilsonii forest, respectively. (3) With the increase of soil depth, the soil nitrogen mineralization rate and cumulative mineralization showed a decreasing trend, with the maximum in the 0~20 cm soil depth. (4) There were significant differences in the temperature sensitivity coefficient Q10 at 15 ℃ and 25 ℃ in different successional stages (P<0.05). With the positive succession, the temperature sensitivity coefficient Q10 decreased first and then increased. There was no significant difference in the temperature sensitivity coefficient Q10 between the communities at different succession stages at 25 ℃ and 35 ℃ (P>0.05). The results of this study will provide a theoretical basis for the evolution of soil quality and the dynamic change of soil nitrogen supply capacity in the community.
Subjects: Geosciences >> Geography submitted time 2024-07-04 Cooperative journals: 《干旱区研究》
Abstract： In order to study the characteristics of hydrochemistry and groundwater recharge in Hotan River Basin, this study analyzed the characteristics of water chemical composition, main recharge sources and mutual transformation of water bodies (well, pond and river) in different geomorphic units by using SPSS statistical analysis, Piper diagram, Gibbs diagram and isotope tracing methods(D, 18O and 14C). The results showed that: (1) The water bodies mainly originated from the ice and snow meltwater and atmospheric precipitation in the middle and high mountainous areas above 2000m in the south. From the mountains to the desert, the groundwater chemical type and salinity had obvious zonal characteristics. The pH value of different water bodies were weakly alkaline, and the ion composition and TDS value were different, with the overall order of pond > well > river. The NO3- content of some groundwater samples were significantly abnormal. (2) The groundwater in the gravel plain area mainly received vertical and disconnected recharge from surface river water. The groundwater had a fast renewal rate, low salinity and main water-rock interaction, mostly SO4•Cl–Ca•Mg type. (3) The TDS value of groundwater in the fine soil plain area had a large range, mostly as the Cl•SO4–Na type. In the inter-river block, the groundwater near the upstream received surface water and lateral runoff from adjacent areas, and the 14C age was small. “Drift Oxygen” of δD and δ18O isotope in the groundwater of the middle and lower reaches was generally appeared. The 14C age of groundwater in the watershed was large, and the age was small near the riverbank. The relation between the groundwater and river was close. On both sides of the inter-river block, the groundwater runoff flowed along the northeast and northwest directions respectively, and finally discharged into the peripheral desert area.The research results can provide theoretical basis for reasonable development and utilization of water resources and ecological environment protection in Hotan River Basin.
Subjects: Geosciences >> Geography submitted time 2024-07-04 Cooperative journals: 《干旱区研究》
Abstract： Ningxia is an important region in Northwest China. Thus, it is imperative to study land use change and its impact on ecosystem services to improve the ecological environment of Ningxia and put forward environmental protection measures for the future. However, previous studies have primarily focused on the changes in the ecosystem services during historical periods but lacked a prediction of the ecosystem services and their trade-offs and synergistic relationships under future scenarios. Therefore, this study simulated the land use status under three future scenarios, quantified the four ecosystem services of carbon storage, soil conservation, water yield, and grain yield under the different land use types, an d ascertained their trade-offs and synergies at various spatial scales. The main conclusions are as follows: in the future, the water yield of the three scenarios was lower than that of the current year, and the soil conservation and carbon storage were th e largest in the ecological protection scenario, reaching 7.98×107and 4.72×107tons, respectively. In contrast, the grain yield was the largest in the farmland protection scenario, reaching 1.52×107tons. The trade-off relationship between ecosystem services mainly occurred between the regulating and supplying services and the synergy relationship between the regulating services. At the provincial scale, only carbon storage and soil conservation services demonstrated a high synergistic relationship; at the regional and county scales, the synergy between water yield and carbon storage services was also remarkable.
Subjects: Geosciences >> Geography submitted time 2024-07-04 Cooperative journals: 《干旱区研究》
Abstract： Established leaf nitrogen concentration (LNC) is the response of crop photosynthesis, an important index of nutrition and growth. To accurately and efficiently estimate different growth period of winter wheat LNC, with the new winter 22 as the research object, using the (UAVs) Pika L hyperspectral cameras for four key growth period of winter wheat canopy reflectance data. The LNC-sensitive spectral index was screened based on the band optimization algorithm and correlation analysis. Stepwise regression, multiple linear regression, and partial least squares regression were combined to establish the estimation model of winter wheat LNC in each key growth stage, which was compared with the single variable estimation model. The results showed that (1) the correlation between the combined spectral index screened using the band optimization algorithm and LNC was stronger than that obtained using the traditional vegetation index and was extremely significant; (2) the combined spectral index in the single variable LNC estimation model allowed to obtain a more accurate model compared with the traditional vegetation index, including Yang flowering DSI(R940, R968) estimate model is set up, best R²of 0.789. The multi-variable estimation models were more accurate than the single variable estimation models and, among them, the LNC estimation model based on partial least squares regression was the best, and the fitting effect of the booting and flowering stages was better. This model had a coefficient of determination of 0.923 and rootmean-square errors of 0.082 and 0.084. The results of this study provide a theoretical basis and technical support to estimate the LNC of winter wheat and monitor its growth.
Subjects: Geosciences >> Geography submitted time 2024-07-04 Cooperative journals: 《干旱区研究》
Abstract： In order to explore the spatial-temporal dynamic change characteristics and driving factors of ecological environment in Yanchi County. Taking remote sensing images from 1990 to 2020 as data source, on the basis of the SA-RSEI. Combined with Theil-Sen Median analysis, Mann-Kendall significance test and Hurst index, the spatial-temporal variation pattern and change trend of ecological environment quality in Yanchi County were analyzed. The driving factors of ecological environment quality in Yanchi County were explored by using Geography Detector. The results showed that: (1) SA-RSEI in Yanchi County decreased first and then increased from 2000 to 2020. (2) The ecological environment quality of Yanchi County showed an evolution process of degradation first and then recovery in 21 years. The spatial distribution pattern gradually changed from poor in the south and good in the north to good in the southeast and poor in the northwest. (3) During the 21 years, the ecological environment quality of Yanchi County generally showed a slow degradation trend, but the degree of degradation gradually decreased, and the degree of ecological environment improvement will gradually increase after 2020. (4) DI, precipitation, elevation, and GDP are the main factors influencing the spatial variation in regional ecological quality. (5) The interaction between DI, temperature, precipitation and elevation and other detection factors plays a leading role, the influence of economic factors on SA-RSEI gradually increases.
Subjects: Geosciences >> Geography submitted time 2024-07-04 Cooperative journals: 《干旱区研究》
Abstract： It is of great significance for scientific management and efficient utilization of water resources in the basin to deeply explore the information of internal conversion process of land use types, measure the impact of land use change intensity on evapotranspiration, and accurately evaluate the temporal and spatial variation of ET. Based on the intensity analysis model, the intensity change characteristics of land use types at different levels in the Aksu River Basin from 2000 to 2020 and their impact on the actual evapotranspiration of the basin were revealed. The results showed that : ( 1 ) At the time interval level, the intensity of land use change in the basin increased first and then decreased, and the change was the most active from 2000 to 2005. At the land type level, the increase and decrease of cultivated land, construction land, water area and forest land area are more active. The increase of cultivated land area at the transfer level mainly comes from grassland ( 54.31% ) and unused land ( 26.26% ). ( 2 ) The average annual evapotranspiration of the basin is 166.56 mm. The interannual fluctuation is large, and the overall trend is increasing, with an annual growth rate of 3.68 mm·a-1. Evapotranspiration from April to October accounted for 71.76% of the annual evapotranspiration. The high value of actual evapotranspiration is distributed in mountainous forest land and cultivated land in plain area, and the low value area is distributed in piedmont desert area and oasis and desert transition zone. ( 3 ) The results of principal component analysis show that the driving force of ETa change in Aksu River Basin is the conversion intensity of grassland, cultivated land and unused land. The correlation coefficient between land use change intensity and actual evapotranspiration is 0.87, and there is a strong correlation between the two.
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