作者机构：
[Luo, Qiao; Yu, Hongbing] Hunan City Univ, Coll Architecture & Urban Planning, Yiyang 413000, Peoples R China.;[Luo, Qiao; Yu, Hongbing] Hunan City Univ, Coll Architecture & Urban Planning, Lab Key Technol Digital Urban Rural Spatial Planni, Yiyang 413000, Peoples R China.;[Li, Yong] Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Atmospher Boundary Layer Phys & Atmo, Beijing 100029, Peoples R China.;[Jiang, Shufang; Cao, Xueyou] Forestry Bur Yiyang City, Yiyang 410004, Peoples R China.
通讯机构：
[Li, Y ] C;Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Atmospher Boundary Layer Phys & Atmo, Beijing 100029, Peoples R China.
关键词：
South Dongting Lake Nature Reserve;blue space;green space;precipitation;air temperature
摘要：
In recent years, the water level of the Dongting Lake (DTL) has been continuously low, and the wetland area and landscape pattern have changed significantly. Considering the obvious spatial heterogeneity of water regime changes in different waters of the DTL, this paper takes two core areas of the South Dongting Lake Nature Reserve (SDLNR) as study areas and analyzes the spatial distribution characteristics of the wetland blue–green landscape patterns by using remote sensing image data and hydrological and meteorological data. The multi-scale correlation between runoff, precipitation, temperature, and evapotranspiration in the SDLNR was studied via cross-wavelet transform analysis. The results show the following: (1) The change in the blue–green spatial patterns in different regions in different periods is inconsistent, and this inconsistency is related to the topography, climate, and human activities in each region; (2) there are seasonal fluctuations in precipitation, air temperature, and evapotranspiration in the SDLNR. Among them, the annual mean temperature shows a rising trend and passes the significance test with 95% confidence, while the annual mean precipitation and annual mean evapotranspiration show no significant change trend; and (3) our Pearson correlation analysis and cross-wavelet change results show that precipitation and temperature are strongly correlated with runoff, with a resonance period of 8–16 months, while the correlation between evapotranspiration and runoff is not significant. We recommend that policymakers establish an effective early warning system and make plans to store water through micro-terrain transformation in possible climate change treatments and strategies.
期刊：
Frontiers in Environmental Science,2023年11:1270921 ISSN：2296-665X
通讯作者：
Ning, QM
作者机构：
[Ji, Qianfu; Yang, Hua; Zhou, Hui; Song, Qidi; Lai, Nan] Hunan Prov Terr Space Survey & Monitoring Inst, Changsha, Peoples R China.;[Ning, Qimeng; Zeng, Zhiwei; Ning, QM] Hunan City Univ, Coll Architecture & Urban Planning, Yiyang, Peoples R China.
通讯机构：
[Ning, QM ] H;Hunan City Univ, Coll Architecture & Urban Planning, Yiyang, Peoples R China.
关键词：
Urban-water coupling;Water ecological space;Resilience control;digitalization;Dongting Lake area
摘要：
Introduction: The construction of digital governance of national land space depends greatly on the development of a digital model for robust control of water and ecological space. However, how changes to the urban-water coupling relationships affect the resilience control of water ecological space is rarely reported.Methods: The evolution characteristics of urban and water space in the study area from 2000 to 2020 and the correlation between them are analyzed based on the grid analysis using InVEST and Moran'I methods. Based on the theory of human-environment interaction territorial system to provide a theoretical framework to explain the urban and water space. We used digital to construct an resilience control framework in the Dongting Lake area based on the correlation between the urban and water space.Results: The results show that: 1) From 2000 to 2020, the geographical evolution of towns and cities in the research area displayed obvious spatial variation in intensity, indicating a process of expansion and change. The regional and temporal fluctuations of the water conservation function are significant. The mountainous areas in the east, south, and northwest are where the high values of the water conservation function are primarily found. These regions have more vegetation, which increases the water conservation function. 2) According to the results of local binary spatial autocorrelation analysis, it can be seen that from 2000 to 2020, the high-high agglomeration of town space and water-related is mainly distributed in Linxiang City, Yueyang County, Miluo City, Li County, and Yiyang City, and the low-low agglomeration is mainly distributed in Dongting Lake, Datong Lake, and along the Yangtze River. 3) Based on how urban spatial evolution affects water ecological space, we construct a theoretical framework of urban-water coupling and establish a digital model of water ecological space resilience control in the Dongting Lake area from four perspectives: threshold, visualization, dynamics, and intelligence.
作者机构：
[Xie, Liang; Lin, Xiang; Li, Zhe; Liu, Zhezheng; Jiang, Jishui] Cent South Univ, Sch Architecture & Art, Changsha 410075, Peoples R China.;[Xie, Liang; Lin, Xiang; Li, Zhe; Liu, Zhezheng; Jiang, Jishui] Cent South Univ, Hist Heritage Conservat Res Ctr, Changsha 410075, Peoples R China.;[Jiang, Jishui] Hunan City Univ, Sch Architecture & Urban Planning, Yiyang 413000, Peoples R China.
通讯机构：
[Li, Z ] C;Cent South Univ, Sch Architecture & Art, Changsha 410075, Peoples R China.;Cent South Univ, Hist Heritage Conservat Res Ctr, Changsha 410075, Peoples R China.
关键词：
western Hunan region;Dong;traditional settlement;fire prevention study;Pyrosim simulation
作者机构：
[Liu, Bin] Hunan Normal Univ, Sch Geog Sci, Changsha 410081, Peoples R China.;[Liu, Bin; Yi, Chun] Hunan City Univ, Coll Architecture & Urban Planning, Yiyang 413000, Peoples R China.;[Liu, Bin; Yi, Chun] Key Lab Digital Urban & Rural Spatial Planning Hun, Yiyang 413000, Peoples R China.;[Lu, Chan] Cent South Univ, Sch Architecture & Art, Changsha 410075, Peoples R China.;[Lu, Chan] Hunan Univ Technol, Sch Urban & Environm, Zhuzhou 412007, Peoples R China.
通讯机构：
[Chan Lu] S;School of Architecture and Art, Central South University, Changsha 410075, China<&wdkj&>School of Urban and Environment, Hunan University of Technology, Zhuzhou 412007, China<&wdkj&>Author to whom correspondence should be addressed.
关键词：
green and low-carbon;research hotspot;research stage;content system;China;rural area
摘要：
Green and low-carbon rural development (GLRD) is becoming an important way to explore sustainable development in rural areas of China. It is significant for the sustainable development of the rural economy and of society to build a rural carbon sink system, advocate low-carbon emissions in rural areas, and promote the development of rural green industries and rural transformation. In this study, the existing knowledge system of GLRD was analyzed using CiteSpace. Keywords related to GLRD and their occurrence frequency were identified using keyword co-occurrence analysis. The knowledge evolution stages of GLRD were explored using citation burst analysis. Thus, the evolution of the research related to GLRD was revealed. The summary of Chinese GLRD-related research literature shows that: (1) according to the CiteSpace analysis, the GLRD research can be divided into three stages: starting, rising, and expanding and deepening; (2) GLRD research has focused on low-carbon development, green development, and then green and low-carbon integrated development, thus forming three major research content systems; (3) GLRD’s research content gradually became rich, as over time, the research focus became increasingly prominent and research integration was gradually strengthened; (4) the GLRD literature still has some limitations, e.g., nonunified measurement standards, insufficient research depth and practical significance, and relatively weak innovative policy research; (5) future research should strengthen the scientific evaluation and prediction of rural green and low-carbon functions. The industrial development pathways and regional characteristic modes of GLRD should be further studied. Innovative GLRD policies should be proposed to provide a theoretical basis and decision-making reference for GLRD and construction.
作者机构：
[Zhao, Yunlin; Xu, Zhenggang; Mo, Wenbo] Cent South Univ Forestry & Technol, Key Lab Forestry Remote Sensing Based Big Data & E, Changsha 410004, Peoples R China.;[Yang, Nan] Hunan City Univ, Coll Architecture & Urban Planning, Lab Key Technol Digital Urban Rural Spatial Planni, Yiyang 413000, Peoples R China.;[Mo, Wenbo; Yang, Nan] Hunan City Univ, Hunan Prov Engn Res Ctr DongTing Lake Reg Ecol Env, Yiyang 413000, Peoples R China.
通讯机构：
[Nan Yang] L;Laboratory of Key Technologies of Digital Urban-Rural Spatial Planning of Hunan Province, College of Architecture & Urban Planning, Hunan City University, Yiyang 413000, China<&wdkj&>Hunan Provincial Engineering Research Center of DongTing Lake Regional Ecological Environment Intelligent Monitoring and Disaster Prevention and Mitigation Technology, Hunan City University, Yiyang 413000, China
关键词：
Bootstrap method;Landscape pattern;Landscape threshold;Redundancy analysis;Water source area
摘要：
It is important to capture passengers’ public transit behavior and their mobility to create profiles, which are critical for analyzing human activities, understanding the social and economic structure of cities, improving public transportation, assisting urban planning, and promoting smart cities. In this paper, we develop a generative adversarial machine learning network to characterize the temporal and spatial mobility behavior of public transit passengers, based on massive smart card data and road network data. The Apriori algorithm is extended with spatio-temporal constraints to extract frequent transit mobility patterns of individual passengers based on a reconstructed personal trip dataset. This individual-level pattern information is used to construct personalized feature vectors. For regular and frequent public transit passengers, we identify similar transit mobility groups using spatio-temporal constraints to construct a group feature vector. We develop a generative adversarial network to embed public transit mobility of passengers. The proposed model’s generator consists of an auto-encoder, which extracts a low-dimensional and compact representation of passenger behavior, and a pre-trained sub-generator containing generalization features of public transit passengers. Shenzhen City is taken as the study area in this paper, and experiments were carried out based on smart card data, road network data, and bus GPS data. Clustering analysis of embedding vector representation and estimation of the top K transit destinations were conducted, verifying that the proposed method can profile passenger transit mobility in a comprehensive and compact manner.
期刊：
Environmental Science and Pollution Research,2023年30(14):40388-40404 ISSN：0944-1344
通讯作者：
Yang, Nan
作者机构：
[Zhao, Yunlin; Xu, Zhenggang; Mo, Wenbo] Cent South Univ Forestry & Technol, Key Lab Forestry Remote Sensing Based Big Data & E, Changsha 410004, Peoples R China.;[Yang, Nan] Hunan City Univ, Coll Architecture & Urban Planning, Lab Key Technol Digital Urban Rural Spatial Planni, Yiyang 413000, Peoples R China.;[Yang, Nan] Hunan City Univ, Hunan Prov Engn Res Ctr DongTing Lake Reg Ecol Env, Yiyang 413000, Peoples R China.
通讯机构：
[Yang, Nan] L;Laboratory of Key Technologies of Digital Urban-Rural Spatial Planning of Hunan Province, College of Architecture & Urban Planning, Hunan City University, Yiyang, 413000, China.;Hunan Provincial Engineering Research Center of DongTing Lake regional ecological enviroment intelligent monitoring and disaster prevention and mitigation technology, Hunan City University, Yiyang, 413000, China.
关键词：
Ecological functional zoning;Ecosystem service bundles;Trade-offs;Dongjiang Lake Basin
摘要：
Although the research framework of ecological function zoning is complex and diverse, there are not many spatially continuous zoning results, which can be effectively applied to watershed management practices. Ecosystem service bundles and trade-offs can identify interactions among multiple ecosystem services, and achieve better social-ecosystem management when applying to ecological function zoning. Taking the Dongjiang Lake Basin, China, as research area, the study used the InVEST model to investigate the trade-offs and synergies of ecosystem services at township and grid scales, respectively. Then, the study conducted ecological function zoning based on the bundles and trade-off intensity among ecosystem services. The results showed that food production showed extremely significant trade-offs with other services in the two scales, in which the trade-off intensity between food production and water purification was the largest, and the water areas were the hotspots of trade-off intensity. Based on the ecosystem service bundles at the township, combined with the trade-off intensity, the watershed was finally divided into four ecological functional zones, namely, agricultural product supply area (southern part in the study area), economic forestry area (northeast regions in the study area), water supply area (western areas of the study area), and forest conservation area (northern areas in the study area), accounting for 29.27%, 14.63%, 17.07%, and 39.03%, respectively. The study contributed to the ecological function maintenance and sustainable development in Dongjiang Lake Basin and provided an important reference in ecological zoning.
通讯机构：
[Tianyi Chen] D;Department of Architecture, College of Design and Engineering, National University of Singapore, 4 Architecture Drive, 117566 Singapore
摘要：
Low-carbon cities (LCCs) have attracted considerable attention from researchers over the past 15 years as an important initiative for mitigating global warming. The increased pilot LCCs in several countries and focus on theoretical research suggest the need to explore the associated research topics and characteristics, trends, and challenges. An in-depth analysis of literature on LCCs was conducted using the three-phase research involving documents searching, quantitative analyses and qualitative analyses. The quantitative analysis revealed that nearly 70% of LCC research was conducted in three countries. The results of the quantitative analysis also generated a map of term clusters, which identified the 9 major areas. A qualitative analysis of the literature indicated that transition to low-carbon energy is the most intensively researched category, and LCC planning and design dominates the research field. Based on the results of the quantitative and qualitative analyses, this study reports knowledge gaps in the literature and proposes future directions for LCC research in the context of four major trends: LCC planning and design, low-carbon energy transition, low-carbon decision support, and low-carbon management and policy. This study improves the existing knowledge on LCC-related research and pro-vides a future guidance for theoretical research and pilot practices related to LCC.
摘要：
Though building-scale energy demand and indoor thermal comfort have been extensively covered by recent studies, the automation of middle- and larger-scale outdoor microclimate evaluation in parametric design is less covered. The relatively slow computation and the need for sophisticated expertise are some of the current issues. This paper proposes a Rhino–Grasshopper custom script to automatically compute spatial indicators for a quick thermal comfort estimation. The Galapagos evolutionary algorithm is used to optimize thermal comfort and select the best combinations of spatial indicators. In a summer case study located in Shantou, China, the proposed workflow was three times faster than a non-automated indicator calculation in ArcGIS, while the optimization method achieved 25% to 33% reduction in land areas under extreme heat stress. This automated process applies to existing states and new urban designs. It is adaptable to customized prediction models under different climatic zones.
作者机构：
[Tang, Hui; Ao, Rongjun; Zhou, Xiaoqi; Aihemaitijiang, Yierfanjiang; Chen, Jing] Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan, Hubei, Peoples R China.;[Tang, Hui; Ao, Rongjun; Zhou, Xiaoqi; Aihemaitijiang, Yierfanjiang; Chen, Jing] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan, Hubei, Peoples R China.;[Tang, Hui] Hunan City Univ, Sch Architecture & Urban Planning, Yiyang, Hunan, Peoples R China.
通讯机构：
[Aihemaitijiang, Y ] C;Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan, Hubei, Peoples R China.;Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan, Hubei, Peoples R China.
摘要：
High-quality regional development should be promoted by facilitating inter-regional mobility of heterogeneous labor force to optimize its spatial allocation. This study incorporates skill relatedness into spatial categorization and selection effects, and explores how skill-relatedness affects the location choice of heterogeneous labor force. To do so, we use labor force migration data and employee data by occupation subcategory from the 2000 National Population Census and 2015 National Population Sample Survey. The empirical evidence provides three major findings. First, there are significant regional differences in labor migration rates by the occupational group between cities in China, and the trend is increasing. Regional concentration of location choice is increasing and six significant agglomerations are formed. Second, skill relatedness positively affects the location choice of the heterogeneous labor force in Chinese cities. When cities' skill-relatedness is more robust, influence on labor location choice is more remarkable. In cities with high-size classes, the effect of high-skill relatedness on labor location choice is higher. Third, labor force with solid skill relatedness with regional employment moves to the location owing to the spatial sorting effect. Labor force without skill relatedness or weak relatedness moves out or does not move to the location owing to the spatial selection effect.
摘要：
Urban vitality is an important reflection of a city’s development potential and urban quality. This study used exploratory spatio-temporal big data such as social media check-ins to portray the spatio-temporal evolution of urban vitality at the subdistrict scale in Changsha, a city in central China, from 2013 to 2021, finding that urban vitality in Changsha exhibited central agglomeration and outward circling expansion over time, and then we used Geodetector and spatial regression analyses to explain the interactive effects and spatio-temporal heterogeneity of the spatial elements of subdistrict form, subdistrict function, and subdistrict economy on urban vitality. The results show the following: (1) The subdistrict form and subdistrict function dimensions had a significant effect on urban vitality, and the effect of the economic dimension of the subdistrict was not significant. (2) The interaction effect of the density of entertainment and leisure facilities and the density of business office facilities in subdistrict function was the dominant factor in the change of urban vitality. (3) Under the spatio-temporal effect, land use diversity and park facility density had the strongest positive effect on urban vitality; road density and shopping facility density had the weakest effect. The study aimed to provide a reference for the optimization and allocation of spatial elements of subdistricts in sustainable urban development and urban renewal, in order to achieve the purpose of urban vitality creation and enhancement.
通讯机构：
[Chun Li; Xingyao Xiong] A;Authors to whom correspondence should be addressed.<&wdkj&>Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China<&wdkj&>College of Horticulture, Hunan Agricultural University, Changsha 410128, China<&wdkj&>Authors to whom correspondence should be addressed.<&wdkj&>College of Information and Intelligence, Hunan Agricultural University, Changsha 410128, China
关键词：
plant community color;autumn color;color characteristic;aesthetic preference;scenic beauty estimation (SBE);principal component analysis (PCA);urban park
摘要：
Contemporary landscape architecture studies have paid close attention to the interactions between public aesthetic preferences and the landscape environment. Scenic beauty has become an important evaluation indicator of landscape quality. The quality of the plant color landscape is an important factor affecting scenic beauty. Exploring the relationship between the composition rules and internal properties of autumn plant color landscapes in urban parks and public aesthetic preferences can provide new ideas for the evaluation and design of plant community color landscapes. Taking 12 parks in Changsha City, Hunan Province, China, as the study area and 85 plant communities as the sample plots, scenic beauty estimation (SBE) was used to evaluate the autumn plant color landscape of urban parks. ColorImpact software was used to extract the color values of each plant community. Fifteen original color element indicators were determined, and the data were statistically analyzed by principal component analysis (PCA), one-way ANOVA, multiple comparison analysis and systematic cluster analysis. Four principal components were extracted to construct the characteristic indices and a comprehensive model of the color landscape quality of autumn plant communities. The four characteristic indices showed significant or extremely significant differences among the five SBE grades. From the overall trend, the SBE grades showed a positive correlation with PC1 (primary and adjunctive color index), PC2 (color structure and property index) and PC3 (autumn-color-leafed index) and a negative correlation with PC4 (intersperse color index). R-PH (ratio of primary hue), R-P (ratio of primary color), R-C (color-leafed index), R-WC (ratio of warm and cool colors), and N-C (number of colors) were the key factors affecting the SBE grade. Overall, R-PH, R-P, R-C, and R-WC positively influenced the SBE values, while N-C negatively influenced the SBE values, and five to seven colors were more moderate. The quality of the color landscape can be improved by creating plant communities with three types of color composition: warm-toned dominant type, warm- and cold-toned contrast type, and multicolor harmonic type. The results provide a reference for the evaluation, design and construction of autumn plant color landscapes in urban parks.
期刊：
ISPRS International Journal of Geo-Information,2023年12(1):3- ISSN：2220-9964
通讯作者：
Hui Tang
作者机构：
[Tang, Hui; Xu, Tao; Xiong, Yajun] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.;[Tang, Hui] Hunan City Univ, Sch Architecture & Urban Planning, Yiyang 413000, Peoples R China.
通讯机构：
[Hui Tang] S;School of Architecture and Urban Planning, Hunan City University, Yiyang 413000, China<&wdkj&>College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China<&wdkj&>Author to whom correspondence should be addressed.
关键词：
Yellow River Basin urban agglomeration;high-speed railway access pattern;overlapping community model;spatial overlap delineation;overlapping space identification
摘要：
With the rapid development of high-speed railway (HSR) transportation in China, its impact on regional spatial patterns and shaping has become increasingly significant. This study took seven urban agglomerations in the Yellow River Basin as the research object, using the 2 h HSR access time in the Yellow River Basin to comparatively analyze the differences in HSR access in the urban agglomeration in the Yellow River Basin, and using the 3 h HSR access to central cities as the background to conduct regional division and overlapping space identification through cross-regional economic links, before finally selecting the overlapping city of Changzhi for long-term space development strategic planning. The main conclusions were as follows: First, the low-value area of HSR travel time in the Yellow River Basin urban agglomerations was biased toward the center of the urban agglomerations, while the peripheral areas were relatively high-value travel traffic circles, and the HSR travel time showed a circular spatial pattern characteristic of continuous expansion from the center to the peripheral areas. Four urban agglomerations in the upper reaches of the city achieved a 2 h access pattern within the urban agglomeration, whereas three urban agglomerations in the middle and lower reaches of the city only reached the 2 h access level in the center. Second, the Yellow River Basin was divided into six community spaces using the SLPA model based on the economic linkage between the central city and other cities, which were filtered by the 3 h access time from the central city to each city for HSR travel. Three of the six communities produced overlapping spaces, i.e., Community 3 and Community 4 produced overlapping spaces containing Linfen, Community 3 and Community 5 produced overlapping spaces containing Changzhi, Handan, and Xingtai, and Community 4 and Community 5 produced overlapping spaces containing Yuncheng and Sanmenxia. Third, the overlapping space of Changzhi City was selected as a case study for a visionary strategic planning outlook. Combining the geographic location characteristics and future development opportunities of Changzhi, we can try to transform a pass-through node like Changzhi into a hub node in the future, strengthening the gateway status and expanding the hinterland. According to the results of the research and analysis, policymakers can try to implement the expansion and renovation of HSR trunk lines, break the transportation bottlenecks in less developed areas, improve the coverage of the HSR network, and establish a "cross-urban agglomeration" cooperation and coordination mechanism.
期刊：
Environmental Science and Pollution Research,2022年29(10):14083-14097 ISSN：0944-1344
通讯作者：
Li, Feng
作者机构：
[Chen, Xinsheng; Geng, Mingming; Deng, Zhengmiao; Zou, Yeai; Li, Feng; Wang, Kelin; Xie, Yonghong] Chinese Acad Sci, Inst Subtrop Agr, Key Lab Agroecol Proc Subtrop Reg, Changsha 410125, Peoples R China.;[Chen, Xinsheng; Geng, Mingming; Deng, Zhengmiao; Zou, Yeai; Li, Feng; Xie, Yonghong] Chinese Acad Sci, Inst Subtrop Agr, Dongting Lake Stn Wetland Ecosyst Res, Changsha 410125, Peoples R China.;[Geng, Mingming] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.;[Niu, Yandong] Hunan Acad Forestry, Changsha 410004, Peoples R China.;[Qian, Zhan; Liao, Xiaohong] Hunan Hydro & Power Design Inst, Dongting Lake Res Ctr, Changsha 410007, Peoples R China.
通讯机构：
[Li, Feng] K;Key Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, 410125, People's Republic of China.;Dongting Lake Station for Wetland Ecosystem Research, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, 410125, People's Republic of China.
关键词：
Water quality;Water level;Comprehensive pollution index;Dongting Lake
摘要：
The effects of cadmium (Cd) and acid rain on the growth of bermudagrass were studied by hydroponic experiment. This study was divided into two separate experimental groups. In the first one, we treated plants only with Cd; in the second, we treated plants with Cd and acid rain. The results showed that the growth of bermudagrass was inhibited by acid rain and higher concentration of Cd. The chlorophyll content (SPAD) of compound treatment plants was significantly lower than that of single treatment with the same Cd concentration, while the malondialdehyde (MDA) content was higher than that of the single treatment. Acid rain aggravated the toxic effect of Cd on bermudagrass. In this experimental treatment, the superoxide dismutase (SOD) activity of the plants treated with Cd and acid rain was always higher than that of the plants treated with Cd alone. The peroxidase (POD) and catalase (CAT) activities of the combined treatment plants increased at low Cd concentration. It showed that SOD plays a major role in anti-oxidation defense. Under higher Cd concentration, the contents of soluble protein, soluble sugar, and free amino acid in plants treated with Cd and acid rain were higher than those treated with Cd alone. The treatment of 1 mg/L Cd and pH4.5 acid rain caused the most serious harm to bermudagrass. Bermudagrass had a certain tolerance to the combined stress of Cd and acid rain. The results provide a theoretical basis for remediation of soil Cd pollution in acid rain area.
作者机构：
[Tang, Hui; Ao, Rongjun; Shen, Xue; Shi, Guoning] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.;[Tang, Hui] Hunan City Univ, Sch Architecture & Urban Planning, Yiyang 413000, Peoples R China.;[Chen, Yun] Chengdu Univ, Sch Tourism & Culture Ind, Chengdu 610106, Peoples R China.
通讯机构：
[Yun Chen; Rongjun Ao] A;Authors to whom correspondence should be addressed.<&wdkj&>School of Tourism and Culture Industry, Chengdu University, Chengdu 610106, China<&wdkj&>Authors to whom correspondence should be addressed.<&wdkj&>College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China
关键词：
population health;economic development;coupling coordination;driving factors;China
摘要：
Promoting the coordinated development of population health and the economy is an important part of building a “Healthy China” and promoting high-quality economic development. Based on the systematic construction of the population health and economic development evaluation index system, this paper uses the coupled coordination model, geodetector, and geographically weighted regression (GWR) to comprehensively measure the population health level and economic development level at the provincial scale in China in 2000 and 2015, and reveals the spatial and temporal evolution characteristics of the coupled coordination relationship between the population health level and economic development level at the provincial scale in China from 2000 to 2015 and its driving factors. The results show the following: (1) China’s population health and economic development are in a high-level coupling stage, and the coupling level increases slightly with time; spatially, two types of running-in coupling and high-level coupling coexist; the coupling degree in the eastern and central regions tends to increase, while the coupling degree in the western region tends to weaken. (2) China’s population health and economic development are in a good coupling coordination stage as a whole, and the coupling coordination degree has an increasing trend; spatially, the coupling coordination degree shows high spatial differentiation characteristics in the east and low in the west; the good and high-quality coupling coordination type area tends to expand to the west, while the moderate coupling coordination type area tends to shrink to the west; there is also positive spatial agglomeration of coupling coordination degree, and the spatial agglomeration is gradually enhanced. (3) The coupling coordination of China’s population health and economic development is driven by multiple factors such as natural conditions, health resources, culture quality, and urbanization level; the interaction between factors is stronger than that of a single factor, and the driving effect of each factor also shows significant spatial heterogeneity. This study is intended to provide a scientific basis for promoting harmonious population health and economic development.
通讯机构：
[Jiayu Li; Zhe Li] A;Authors to whom correspondence should be addressed.<&wdkj&>School of Architecture and Art, Central South University, Changsha 410075, China
关键词：
west of Hunan;raw earth dwelling;winter thermal insulation;energy saving;CO2 emission
摘要：
This study presents the CO2 emissions and energy performance of traditional raw earth dwellings' envelope retrofitting located in the Zhushan Village, western Hunan Province, China. The numerical simulations of heating energy consumption on the building models were performed using DesignBuilder, an energy simulation program. The energy performance was evaluated using the indexes (including energy consumption, CO2 emissions, heat balance analysis, and air temperature profiles). The detailed evaluation process of the energy performance is presented as follows. First, the current situation was analyzed through the field research, and two typical building models were built. Second, all schemes were simulated using the DesignBuilder software. Subsequently, the four main retrofit measures (replacing the external insulation windows, setting the external wall insulation layer, setting the roof insulation layer, and setting the ceiling insulation layer) were analyzed, respectively. The optimal parameters of the respective retrofit measure were calculated. Lastly, a multi-objective optimization analysis was conducted on all retrofit plans using the coupling method. In the winter, the results indicated that the "I-shape" dwelling heat consumption of the enclosure structure was reduced by 12.8 kW center dot h/m(2), and the CO2 emissions were reduced by 882.8 kg. While in the benchmark building, the results showed that the "L-shape" dwelling heat consumption of the enclosure structure was decreased by 13.27 kW center dot h/m(2), and the CO2 emissions were reduced by 894.4 kg. As the renewal scheme has been progressively implemented, the whole Zhushan Village will save energy by 11.2 x 10(4) kW center dot h after the insulation renewal of the envelope structure is completed.
期刊：
ISPRS International Journal of Geo-Information,2022年11(12):613- ISSN：2220-9964
通讯作者：
Wenbo Mo
作者机构：
[Zhang, Xian; Chen, Min; Li, Maohuang; Yang, Nan] Hunan City Univ, Coll Architecture & Urban Planning, Lab Key Technol Digital Urban Rural Spatial Planni, Yiyang 413000, Peoples R China.;[Mo, Wenbo] Cent South Univ Forestry & Technol, Key Lab Forestry Remote Sensing Based Big Data & E, Changsha 410004, Peoples R China.;[Li, Feng] Chinese Acad Sci, Inst Subtrop Agr, Key Lab Agroecol Proc Subtrop Reg, Changsha 410125, Peoples R China.;[Li, Feng] Chinese Acad Sci, Inst Subtrop Agr, Dongting Lake Stn Wetland Ecosyst Res, Changsha 410125, Peoples R China.;[Gao, Wanchao] Hydrol & Water Resource Bur Hunan Prov, Changsha 410004, Peoples R China.
通讯机构：
[Wenbo Mo] K;Key Laboratory of Forestry Remote Sensing Based Big Data & Ecological Security for Hunan Province, Central South University of Forestry and Technology, Changsha 410004, China<&wdkj&>Author to whom correspondence should be addressed.
