Analyzing the spatial patterns of pollution sources, referring to the activities or sectors that release pollutants into the environment, is key to recognizing how environmental pressures develop and improving their management. Using hierarchical clustering analysis, we found that pollution sources in China’s Yangtze River Delta are mostly grouped within counties but vary significantly between them. In 2010, rapid urbanization and industrialization led to urban living activities causing major water pollution in 55.4% of counties, while industrial emissions were the primary contributors to air pollution in 59.3% of counties. By applying an enhanced emission factor method, we more accurately identified pollution patterns at a detailed grid level. We categorized the region into high, low, and zero pollution zones, covering 14.64%, 51.53%, and 33.82% of the area, with corresponding stress indices of 1.41, 0.24, and 0 in 2020. Under high-quality development scenarios in 2035, multiple linear programming model recommends allocating 47,600 km2 for urban use, 145,800 km2 for agriculture, and 165,700 km2 for ecological conservation to meet environmental standards. To improve pollution management, we suggest a multi-level environmental governance framework that adjusts regulations based on pollution sources and specific control targets. Our findings are particularly significant for achieving simultaneous pollution reduction and carbon neutrality in urban agglomerations worldwide, especially in delta regions.

The Qinghai–Tibetan Plateau (QTP), often referred to as the “Third Pole” of the world, harbors alpine grassland ecosystems that play an essential role as global carbon sinks, helping to mitigate the pace of climate change. Nonetheless, alterations in natural environmental conditions coupled with escalating human activities have disrupted the seasonal growth cycles of grasslands, thereby intensifying degradation processes. To date, the key drivers and lifecycle dynamics of Grassland Depletion across the QTP remain contentious, limiting our comprehension of its ecological repercussions and regulatory mechanisms. This study comprehensively investigates grassland degradation on the Qinghai–Tibetan Plateau, analyzing its drivers and changes in ecological suitability during the growing season. By integrating natural factors (e.g., precipitation and temperature) and anthropogenic influences (e.g., population density and grazing intensity), it examines observational data from over 160 monitoring stations collected between the 1980s and 2020. The findings reveal three distinct phases of grassland degradation: an acute degradation phase in 1990 (GDI, Grassland Degradation Index = 2.53), a partial recovery phase from 1996 to 2005 (GDI < 2.0) during which the proportion of degraded grassland decreased from 71.85% in 1990 to 51.22% in 2005, and a renewed intensification of degradation after 2006 (GDI > 2.0), with degraded grassland areas reaching 56.39% by 2020. Among the influencing variables, precipitation emerged as the most significant driver, interacting closely with anthropogenic factors such as grazing practices and population distribution. Specifically, the combined impacts of precipitation with population density, grazing pressure, and elevation were particularly notable, yielding interaction q-values of 0.796, 0.767, and 0.752, respectively. Our findings reveal that while grasslands exhibit superior carbon sink potential relative to forests, their productivity and ecological functionality are undergoing considerable declines due to the compounded effects of multiple interacting factors. Consequently, the spatial distribution of ecologically suitable zones has contracted significantly, with the remaining high-suitability regions concentrating in the “twin-star” zones of Baingoin and Zanda grasslands, areas recognized as focal points for future ecosystem preservation. Furthermore, the effects of climate change and intensifying anthropogenic activity have driven the reduction in highly suitable grassland areas, shrinking from 41,232 km2 in 1990 to 24,485 km2 by 2020, with projections indicating a further decrease to only 2844 km2 by 2060. This study sheds light on the intricate mechanisms behind Grassland Depletion, providing essential guidance for conservation efforts and ecological restoration on the QTP. Moreover, it offers theoretical underpinnings to support China’s carbon neutrality and peak carbon emission goals.

Cropland suitability analysis is a vital tool for ensuring food security and sustainable agriculture,coordinating ecological space with human activity space on the Qinghai-Tibet Plateau(QTP).However,there are few studies on complete and accurate cropland suitability assessments on the QTP,let alone on identifying key potential areas for cropland develop-ment.We used a novel assessment model to generate a 30-m cropland suitability map for the QTP.The identification of areas with cropland development potential and the evaluation of potentially available cropland were further integrated into a unified analytical framework.We found that only 10.18％of the study area is suitable for large-scale and permanent cropland.Moreover,approximately 72.75％of the existing cropland was found to be distributed in suitable or marginally suitable areas.Considering the trade-offs related to irrigation water supply convenience,approximately 1.07％of the study area was identified as having high potential for cropland development.Four key potential areas were further identified:the Shannan Valley,the Nyingchi Valley,the Zanda Valley,and the Gonghe Basin.These areas boast abundant potentially available cropland resources and ecological resettlement capaci-ties,which leads us to recommend strategic priorities for comprehensive land consolidation and water development.This study has practical significance for optimizing land resource allocation and guiding decision-making related to ecological migration on the QTP.

In this study, the ecological impact of human activities and the space occupied by construction and arable land on the Tibetan Plateau were examined, focusing on changes in the net primary productivity (NPP) as a key indicator of ecological health. With the utilization of land use data and multiyear average NPP data from 2002 to 2020, we analyzed the effects of the conversion of zonal vegetation into construction and arable land on carbon sequestration and oxygen release in Chengguan District, Lhasa city. Our findings indicated a marked spatial difference in the NPP among different land types. Regarding the original zonal vegetation, the NPP ranged from 0.2 to 0.3 kg/m2. Construction land showed a decrease in the NPP, with values ranging from 0.16 to 0.26 kg/m2, suggesting a decrease in ecological productivity. Conversely, arable land exhibited an increase in the NPP, with average values exceeding 0.3 kg/m2. This increase suggested enhanced productivity, particularly in regions where the original zonal vegetation provided lower NPP values. However, this enhanced productivity may not necessarily indicate a positive ecological change. In fact, such increases could potentially disrupt the natural balance of ecosystems, leading to unforeseen ecological consequences. The original zonal vegetation, with NPP values ranging from 0.12 to 0.43 kg/m2, exhibited higher ecological stability and adaptability than the other land types. This wider NPP range emphasizes the inherent resilience of native vegetation, which could sustain diverse ecological functions under varying environmental conditions. These findings demonstrate the urgent need for sustainable land use management on the Tibetan Plateau. This study highlights the importance of considering the ecological impact of land use changes in regional development strategies, ensuring the preservation and enhancement in the unique and fragile plateau ecosystem.

Construction land is the leading carrier of human activities such as production and living. Evaluating the construction land suitability (CLS) on the Qinghai-Tibet Plateau (QTP) holds significant implications for harmonizing the relationship between ecological protection and human activity and promoting population and industry layout optimization. However, no relevant studies provide a complete CLS assessment of the QTP. In this study, we developed a model-based CLS evaluation framework coupling of pattern and process to calculate the global CLS on the QTP based on a previously developed CLS evaluation model. Then, using the land-use data of 1990, 2000, 2010, and 2020, we examined the adaptability of existing construction land (ECL) to the CLS assessment result through the adaptability index and vertical gradient index and further analyzed the limitations of maladaptive construction land. Finally, we calculated the potential area of reserve suitable construction land. This article includes four conclusions: (1) The highly suitable, suitable, moderately suitable, marginally suitable, and unsuitable CLS classes cover areas of 0.33×104 km2, 10.42×104 km2, 18.06×104 km2, 24.12×104 km2, and 205.29×104 km2, respectively. Only approximately 11

The Qinghai-Tibet Plateau is an important ecological security barrier.Clarifying the suitability of construction land is significant for coordinating the relationship between ecological protection and human activities,as well as for optimizing the spatial distribution of population and industry.Based on the evaluation model of human activity suitability of land resources and the bare land digital elevation model of FABDEM with forests and buildings removed,we produced a dataset of spatial distribution of construction land suitability with a spatial resolution of 30m on the Qinghai-Tibet Plateau.This dataset reveals that the suitability classes of highly suitable(3593 km2),suitable(100,258 km2),moderately suitable(166,033 km2),marginally suitable(208,411 km2),and unsuitable(2,104,249 km2),accounting for 0.14％,3.88％,6.43％,8.07％,and 81.48％of the total area,respectively.Finally,we verified the user's accuracy of this dataset using the existing construction land layer from land use/cover data of CNLUCC and GlobeLand30,which indicates that the dataset has strong explanatory power for the spatial distribution of the existing construction land,with an overall user's accuracy of 76.41％and 81.65％,respectively.This dataset can provide decision support for ecological migration,constructing rural settlements in border areas,and optimizing territorial development and conservation patterns on the Qinghai-Tibet Plateau.

Sustainable renewable energy is a critical goal of the 2030 Sustainable Development Agenda. The scientific and rational development of solar power in the Qinghai-Tibet Plateau (QTP) is vital for China's carbon peak and carbon neutrality goals. However, more accurate, high spatial resolution assessments are needed to evaluate the utility-scale photovoltaic (PV) development potential on the QTP. To address this, we integrated geographical and technical potentials into a unified framework for assessing PV development potential. Using the spatial multi-criteria decision analysis technique, supported by the Bayesian Best-Worst method, we generated a 30-m suitability map for assessing geographical and technical potentials, along with priority zones. We found that approximately 35.22 % of the study area is suitable for utility-scale PV development, mainly concentrated in the Qaidam Basin in Qinghai and the northern Tibet Plateau in Xizang. The estimated PV technical potential for highly suitable and suitable classes is approximately 42.34 million GWh/a, which is equivalent to reduction of approximately 31.43 billion t/a of carbon emissions. We also formulated four priority development strategies using a spatially explicit model to meet the urgent 2030 target for utility-scale PV installations. Moreover, validation of existing PV projects and sensitivity analysis were conducted, confirming the accuracy and robustness of the results. This study provides practical guidance for informed decision-making by the government, investors, and stakeholders.

The scientific assessment of the human activity intensity is pivotal in coordinating regional ecological protection with human activity on the Qinghai-Tibet Plateau.The dataset of human activity intensity in the Qinghai-Tibet Plateau region from 1984 to 2018 was developed based on the integration among the land use data from land resource survey in second national soil condition census,the annual land use change survey of first national land resource survey,the annual land use change survey of second national land resource survey,the third national land resource survey,and the remote sensing monitoring data.The dataset consists of county-level data table and vector data of construction land equivalent and human activity intensity in the Qinghai-Tibet Plateau region in 1984,1997,2008,and 2018.The dataset was archived in.xlsx and.gdb formats,and consists of 67 data files with 14.3 MB(Compressed into 1 data file with 12.9 MB).The research paper based on the dataset was published in Acta Ecologica Sinica,Vol.43,No.10,2023.

The impacts of land use on the climate in the Taihu Basin were quantitatively simulated using the mesoscale climate model named Weather Research and Forecasting (WRF) model. Results showed that (1) cities with large or increasing areas of construction land had considerably higher temperature increases than other regions; (2) coastal cities to the east of the Taihu Basin, such as Shanghai, Suzhou, Jiaxing, and Taizhou had the highest wind speeds, while cities far from the coast to the west, such as Nanjing, Hangzhou, and Huzhou, experienced reduced wind speeds; The main wind direction over the Taihu Lake was southeast, with an increase in wind speed variation, but wind speeds decreased in 2019; (3) Areas near water or with large water areas had lower temperatures, while areas near forests or construction sites had higher temperatures. Although the area of construction land increased as cities developed, the increase in temperature was not significant; (4) As urbanization accelerated, temperature differences in some areas gradually decreased, and overall temperatures increased. As urban development reached a certain level, the impact of increased construction land on temperature gradually decreased, but the region exhibited an overall high temperature, leading to a reduction in the urban heat island effect.

Studies on the spatio-temporal variation and driving mechanism of PM2.5 concentration in the Chengdu-Chongqing urban agglomeration are of great significance for regional atmospheric environment protection and national economic sustainable development. Based on PM2.5 remote sensing data, DEM data, in situ meteorological data, MODIS NDVI data, population density data, nighttime lighting data, road network data, and land use type data, a series of mathematical methods such as Theil-Sen Medium analysis and Mann-Kendall significance test, combined with the Geo-detector model were used to analyze the spatio-temporal variation and multi-dimensional detection of the driving mechanism of PM2.5 concentration in the Chengdu-Chongqing urban agglomeration. The results showed that the overall PM2.5 concentration showed a fluctuating downward trend in the Chengdu-Chongqing urban agglomeration from 2000 to 2021, and the PM2.5 pollution was the most prominent in winter. PM2.5 concentration exhibited obvious spatial heterogeneity with "high in the middle and low in the surrounding areas." The high-PM2.5 concentration areas were mainly concentrated in Zigong, Neijiang, Ziyang, and Guang'an, and the areas with a PM2.5 concentration decrease were mainly concentrated in the west of Chongqing. Influencing detection results showed that the spatial heterogeneity of PM2.5 concentration in the Chengdu-Chongqing urban agglomeration was influenced by the combined effects of climate factors, topographic factors, vegetation cover, and anthropogenic factors. Furthermore, elevation, slope, and road network density were regarded as the dominant factors influencing the spatial heterogeneity of PM2.5 concentration in the study area. Topographic factors and climate factors showed the highest and lowest contribution rate to the spatial heterogeneity of PM2.5 concentration, respectively. The contribution rate of topographic factors and anthropogenic factors had gradually increased, and the contribution rate of climate factors and vegetation cover had gradually decreased in the study area from 2000 to 2021. Interaction detection results showed that the spatial heterogeneity of PM2.5 concentration in the Chengdu-Chongqing urban agglomeration was mostly affected by the interaction effects of elevation and road network density, slope, precipitation, sunshine duration, and land use type. The interaction detection results exhibited obvious regional differences on the city level. For instance, the spatial heterogeneity of PM2.5 concentration in Chengdu, Deyang, and Leshan was mostly affected by the interaction between different influencing types, and the spatial heterogeneity of PM2.5 concentration in Dazhou, Meishan, Ya'an, Ziyang, Neijiang, and Zigong was mostly affected by the interaction within a single influencing type.

The current suitability evaluation methods for land resources human activity in China suffer from theoretical deficiencies related to fundamental data accuracy, elevation and slope classification, and suitability class judgment. Empirical application of these methods is also hindered by excessive evaluation indicators, data acquisition difficulties, and limited applicability to high altitude regions. To address these issues, this paper proposes a technical evaluation framework for the Qinghai-Tibet Plateau (QTP) that employs selected key parameters varying with elevation and slope to establish grid-scale evaluation models for construction land suitability (CLS) and arable land suitability (ALS). A generalized algorithm is then proposed for key parameters such as air density, air temperature, slope suitability for construction, and soil erosion resistance of sloping arable land. Empirical research is conducted using Milin County in southeast Tibet as a case study, with interval measurements of 100 m in elevation and 1° in slope. The evaluation model is tested using grid accuracies of 30 m, 50 m, 100 m, 250 m, 500 m, and 1000 m. The results reveal that: Firstly, the CLS and ALS can be categorized into five classes: highly suitable, suitable, moderately suitable, marginally suitable, and unsuitable, with varying area ratios under different grid accuracies. Secondly, existing construction lands in Milin County are mainly distributed in suitable, highly suitable, and moderately suitable CLS classes, accounting for over 94% of the total area studied under different grid accuracies. While arable land is mainly distributed in suitable, highly suitable, and moderately suitable ALS classes, accounting for over 96%. Thirdly, the empirical research in Milin County indicates that the evaluation method, quantitative model, and parameters algorithm for evaluating human activity suitability of land resources on the QTP are feasible and applicable, with a recommended grid accuracy within 100 m and a maximum of 250 m. Fourthly, the paper establishes a correspondence between land suitability (including construction land and arable land) and topographic factors (elevation and slope) that can be applied to the QTP. Finally, some professional defects in the evaluation methods of available land resources in Major Function Zoning and "Double Evaluations" of Territorial Spatial Planning in China when applied to the QTP are identified.

The Qinghai-Tibet Plateau is an important ecological barrier area in China and Asia.Conducting construction land suitability evaluation（CLSE） and arable land suitability evaluation（ALSE） is important for ecological protection, restriction of human activity space in this plateau.However, the application has the defects of existing CLSE and ALSE models and methods in highaltitude areas. In this paper, we constructed CLSE and ALSE models applicable to alpine-gorge region in the Qinghai-Tibet Plateau, as well as proposed the measurement methods of four control parameters: air density, sloping land suitability for construction, air temperature and soil erosion resistance of sloping land. Based on the standard scenarios of elevation-slope classification with an interval of 100 m in elevation and 1° in slope, an empirical application research was carried out in Nyingchi city, the typical area of alpine-gorge region in the Qinghai-Tibet Plateau, and the feasibility was demonstrated of two different elevation-slope classification scenarios for CLSE and ALSE as well. This article obtains four conclusions:（1） Construction land suitability（CLS） and arable land suitability（ALS） in Nyingchi city can be divided into five grade types: suitable,relatively suitable, moderately suitable, less suitable, and unsuitable. The grade type of CLS and ALS is mainly unsuitable in the city, with 87.48% and 87.42% area ratio of unsuitable grade type,5.58% and 4.58% area ratio of less suitable grade type, and sum area ratio of suitable, relatively suitable, moderately suitable grade types accounted for only 6.94% and 7.60%.（2） The matching degree is high of CLS and ALS with current construction land and arable land under standard scenario in Nyingchi city, with the matching accuracy reaching 93.59% and 90.89%, respectively,among which the matching accuracy in Mainling county, Chagyib district, and Bowo county is above 95%, and the matching accuracy in Gongbo’ gyada county, Nang county, and Mêdog county is very low, respectively.（3） The matching accuracy is 93.11% and 91.28% of CLS under scenarios 1 and 2, and its matching error is-0.48% and-2.31% with the standard scenario. The matching accuracy is 91.52% and 91.54% of ALS under scenarios 1 and 2, and its matching error is +0.63% and +0.65% with the standard scenario. The model error is within an acceptable range.（4） Classification schemes with an interval of 500 m in elevation and 3°, 5°, 8°, 12°, 15°, 20°, and25° in slope are applicable for CLSE and ALSE in alpine-gorge region of the Qinghai-Tibet Plateau.

Based on the data of physical geography and social economy, an index system of Wuchengxiyu Region was constructed with the disaster-inducing factors, disaster-pregnant environment, and disaster-bearing body as indicators by analyzing the formation and impact factors of flood disasters. The weight of each index was given using the analytic hierarchy process, and the comprehensive evaluation index was constructed by the weighted comprehensive method, and the flood disaster evaluation model was established. The flood risk zoning of Wuchengxiyu Region was implemented by means of Geographic Information System spatial analysis methods. The results showed that the high-risk areas in Wuchengxiyu Region are mainly distributed in Liangxi District, Binhu District, Xishan District of Wuxi City, Zhonglou District, Tianning District, and Xinbei District of Changzhou City, and Jiangyin City. The high-risk area in Wuxi City is highly exposed due to its low terrain. The high-risk area in Changzhou City is highly vulnerable due to the high density of population, buildings and roads. And the high-risk area in Jiangyin City is located in the high-risk area of disaster-causing factors due to its abundant rainfall.

揭示城市扩张与水污染物排放之间的伴生效应与空间交互机理是城市化水环境效应研究的重要议题.以长三角地区为例,选取COD和NH3-N两项特征污染物指标,在2011-2015年快速城市化时期的水污染物排放格局分析基础上,优选空间杜宾模型估计城市扩张与水污染物排放的伴生效应,采用直接效应和间接效应分解定量测度二者的空间交互机理.研究结果表明:2011-2015年长三角地区水污染物排放规模显著下降,县域排放强度等级整体降低,高强度排放格局由连片式分布收缩为零散式分布;城市扩张与水污染物排放的伴生效应显著而稳定,高扩张-高排放型县域在上海及其周边、苏北地区集中分布,沿海和沿江区位是城市扩张通常会选择的布局指向,在排污距离成本和环境规制强度双重作用下,距海岸线和长江干流距离越远,水污染物排放强度越呈对数曲线式降低;城市扩张与水污染物排放的空间交互作用具有两面性,城市扩张规模每提升1％,使本地COD、NH3-N排放分别增加0.274％、0.368％的同时,还会造成邻近县域排放降低1.017％、0.650％.因此,为缓解城市扩张与水污染物排放的伴生效应和交互作用,既要划定城市扩张边界、严格抑制扩张规模,还需注重城市水污染物处理设施配套及管网建设,通过区域环境承载力提升缓解城市化造成的环境胁迫过程.

This two-volume set examines the process of rural integration in modern China. In short, this is how the state penetrates the countryside and transforms the rural population, thus consolidating the foundation of modern state governance. Drawing on contemporary examples of state integration while observing the background of traditional China, this book systematically examines the entire process of rural reconstruction of China over the course of the 100 years since the late Qing Dynasty. In addition, the book discusses the special characteristics of each period and current societal trends in the Chinese countryside. This volume explores the following aspects of contemporary state integration: economic, fiscal, cultural, social, lifestyle, and technological. The book will be an essential reading for scholars and students in Chinese Studies, Political Science, Rural Studies, and those who are interested in the rural reconstruction of China in general.

At-source pollutant control is an effective way to systematically address the environmental problems associated with air pollution. The spatial scale of China's environmental management is often at the province or city level, which makes precise governance difficult. Taking Shengzhou, China, as an example, this study defines the control unit (CU) as the spatial location of a anthropogenic pollution source based on land-use classification. For each CU, the pollution behaviours of sulphur dioxide (SO2), nitrogen oxides (NOx), particulate matter with a diameter of < 2.5 mu m (PM2.5) and ammonia (NH3) are identified, and the emission factor methods and the entropy weight method are then used to calculate a single and comprehensive pollution emissions figure. The results show that the CUs in Shengzhou can be divided into 14 types. Combining these types with the characteristics of air pollutant emissions, seven main pollution behaviours are identified. The comprehensive characteristic value (CCV) of air-mixed pollutants is between 0.0 and 2.11, and all CUs can be classified into five levels on the basis of their CCV as follows: >= 1.0, 0.5-1.0, 0.2-0.5, 0.0-0.2 and 0.0. The CUs with CCV >= 1.0 are transportation land, high-polluting industrial production site, livestock farm, landfill and sewage treatment plant. The CU reclassification and pollution calculation method proposed in this study follows the three main land-use functions of production, living and ecology and serve as a reference for research in other regions of China and in other countries. Moreover, the spatial units in this study are controlled to the smallest administrative scale in China, which can provide the spatial precision required for the implementation of differentiated environmental policies.

Promoting the downscaling and integration of zonal management and control of various environmental pollution sources is an effective way to systematically deal with the current high-intensity and complex environmental problems. Through single-factor and comprehensive pollutant emission intensity evaluation and cluster analysis, we built a full-coverage and cross-scale environmental spatial management and control system for pollution sources, then proposed environmental zoning patterns and pollution control strategies at three scales in the Yangtze River Delta (YRD), China. At the grid scale, the reclassified 7 types of pollution source spaces can be divided into 5 levels based on pollution emission intensity, and the most urgent environmental control subjects can be determined accordingly. Up to the county scale, combined with emission intensity and regional functions, 305 counties can be divided into 5 control intensity zones, which directly correspond to different environmental control intensity, requirements and policies. Finally, at the city scale, 41 cities can be clustered into 7 pollution control zones, which are classified and named as the three-level form of geographic location, development orientation and pollution source characteristics. Fully using the zoning units at different scales of cities, counties and grids can break the limitation of inherent administrative boundaries and allow environmental integration policies to be implemented across departments and regions, also let differentiated policies be more accurately implemented to different administrative levels and pollution source, and then truly improve the efficiency of environmental management.

以生产、生活污染源为对象进行环境空间管控是新时期区域环境保护治理和国土精细化管治的新路径.本文在明确区域环境功能管控区划的概念、目的和原则的基础上,科学识别污染物与污染源空间,提出管控单元和分级管控区的空间结构模式,建立环境污染物的单项评价指标算法和综合集成模型,形成区域环境功能管控区划技术方法,并在浙江省嵊州市进行县级尺度的实证应用研究.研究表明,嵊州市共有垃圾填埋场、污水处理厂、高污染型工业场所、畜禽养殖场、居民居住场所等18个管控单元类型,按集成特征值高低及污染排放特征可归类至Ⅴ级、Ⅳ级、Ⅲ级、Ⅱ级、Ⅰ级和○级管控区.Ⅴ级和Ⅳ级管控区以工矿业生产空间为主,污染排放量大,对水体、大气和土壤等影响程度高,存在危害性,是源头管控的重点.Ⅲ级管控区覆盖生活空间,污染排放中等,影响大气和水体,可控性相对较弱.Ⅱ级管控区有少量的农业固废和废水排放,存在面源污染风险.Ⅰ级和○级管控区内部无环境污染源,强调生态保护的重要程度.其中,○级管控区是生态保护红线范围,实施最严格的环境保护制度,要求"零排放,零污染".区域环境功能管控区划方法具有可操作性,可为地方开展中长期环境保护与发展规划提供新的方法.

基于人口城镇化率与产业高级化指数之间相互作用的逻辑关系,利用1990、2000与2010年,全国2271个县域的截面数据,分析中国县域人口城镇化与产业高级化之间的耦合关系,并对二者耦合关系的影响因素进行分析.研究表明:(1)中国县域人口城镇化与产业高级化的静态耦合协调度随时间推移不断提升,并且呈现出明显的自西向东逐渐协调的空间格局.(2)人口城镇化与产业高级化的动态耦合特征分为"衰退型"、"滞后型"、"超前型"与"增长型"四类,不同类型的之间的转化特征同样体现出时空依赖性,"胡焕庸线"以东地区主要由"超前型"转变为"增长型",以西地区则恰好相反.(3)平均海拔和高中学历以上人口比重在不同阶段都对耦合关系存在显著影响,此外,区位条件、人口与就业、非农化程度等因素均对耦合关系产生影响,且影响作用逐渐显著.