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With the rapid economic development and continuous growth of population in rapid urbanized area, the health status of urban ecosystem is undergoing profound changes, which will have a negative impact on the sustainable development. In order to systematically evaluate the health status of urban ecosystem in rapid urbanized area of central China, this paper puts forward a new assessment framework of structure-function-process-human health-development based on a deep understanding of the concept and general characteristics of urban ecosystem health, and establishes an expanded evaluation index system according to this evaluation framework. Then, on the basis of determining the index classification criteria in detail, the improved SI-MI model was used to evaluate the health status of urban ecosystem. As a case study, the framework and method were applied to the urban agglomeration in the middle reaches of the Yangtze river, a region of the rapid urbanized in China. The results showed that, the health level of most cities in the study area has been improved from 2005 to 2015. From the perspective of spatial pattern, the health level of the study area shows obvious spatial heterogeneity, and provincial capital cities and some eco-cities have better health status. It is worth noting that the function and development layer are the key parts that restrict the overall health level of urban ecosystem in the urban agglomeration in the middle reaches of the Yangtze River. After classifying all cities, we found the factors influencing the health level of different types of cities, and proposed the management suggestions for different types of cities.
Wei Shen; Zhicheng Zheng; Li Pan; Yaochen Qin; Yang Li. A integrated method for assessing the urban ecosystem health of rapid urbanized area in China based on SFPHD framework. Ecological Indicators 2020, 121, 107071 .
AMA StyleWei Shen, Zhicheng Zheng, Li Pan, Yaochen Qin, Yang Li. A integrated method for assessing the urban ecosystem health of rapid urbanized area in China based on SFPHD framework. Ecological Indicators. 2020; 121 ():107071.
Chicago/Turabian StyleWei Shen; Zhicheng Zheng; Li Pan; Yaochen Qin; Yang Li. 2020. "A integrated method for assessing the urban ecosystem health of rapid urbanized area in China based on SFPHD framework." Ecological Indicators 121, no. : 107071.
Quantitative assessment can scientifically determine the health status of a regional ecosystem, identify regional eco-environmental problems, and assist in promoting regional sustainable development and environmental management. Taking China’s important ecological function region, the Yellow River affected area as an example, this study constructed an extended evaluation index system based on the pressure-state-response framework, and remote sensing and GIS techniques were used to dynamically evaluate the spatial and temporal characteristics of ecosystem health in the study area. Furthermore, influencing factors on ecosystem health in the study area were extensively analyzed using the GeoDetector model. The results show that the ecosystem health level in the study area shows significant spatial heterogeneity from 1995–2015, and showed a fluctuating change process. Areas with large fluctuations in health level were mainly distributed in extreme climate areas, ecologically fragile areas, on plains and in hilly areas. Spatial differences of ecosystem health were well explained by using the biological abundance index, relief degree of land surface, soil type, annual average precipitation, elevation, annual average temperature, and population density. Influencing factors have significant interactive effects on ecosystem health.
Wei Shen; Zhicheng Zheng; Yaochen Qin; Yang Li. Spatiotemporal Characteristics and Driving Force of Ecosystem Health in an Important Ecological Function Region in China. International Journal of Environmental Research and Public Health 2020, 17, 5075 .
AMA StyleWei Shen, Zhicheng Zheng, Yaochen Qin, Yang Li. Spatiotemporal Characteristics and Driving Force of Ecosystem Health in an Important Ecological Function Region in China. International Journal of Environmental Research and Public Health. 2020; 17 (14):5075.
Chicago/Turabian StyleWei Shen; Zhicheng Zheng; Yaochen Qin; Yang Li. 2020. "Spatiotemporal Characteristics and Driving Force of Ecosystem Health in an Important Ecological Function Region in China." International Journal of Environmental Research and Public Health 17, no. 14: 5075.
The aim of this paper was to verify the effectiveness of environmental management and protection measures and to improve the efficiency of ecological construction and protection on the Loess Plateau in China. The unit area ecosystem service value (ESV) equivalent factor for land use categories was dynamically revised by using data such as farmland grain yield, net primary production (NPP), and rainfall. A dynamic evaluation model of the Loess Plateau ecosystem service value was established to evaluate the ESV as well as spatial and temporal dynamic evolution characteristics. From 1990 to 2015, the dynamic degree of ecological land in the study area was 8.867%. Apart from paddy fields, dry land, and deserts, the transfer rates showed an increasing trend. Bare land was converted into other land use types at an increasing rate, while forest areas increased slowly and cultivated areas first increased and then decreased. Grassland areas only slightly decreased, while wetland and water areas remained relatively stable. From 1990 to 2015, the ESV fluctuated largely, albeit with an overall improvement. The ecosystem service value showed an obvious spatial heterogeneity, with higher values in the south compared to the north of the Loess Plateau.
Yang Li; Pengjun Zhang; Yaochen Qin. Ecological Service Evaluation: An Empirical Study on the Central Loess Plateau, China. Polish Journal of Environmental Studies 2020, 29, 1691 -1701.
AMA StyleYang Li, Pengjun Zhang, Yaochen Qin. Ecological Service Evaluation: An Empirical Study on the Central Loess Plateau, China. Polish Journal of Environmental Studies. 2020; 29 (2):1691-1701.
Chicago/Turabian StyleYang Li; Pengjun Zhang; Yaochen Qin. 2020. "Ecological Service Evaluation: An Empirical Study on the Central Loess Plateau, China." Polish Journal of Environmental Studies 29, no. 2: 1691-1701.
The 400 mm annual precipitation fluctuation zone (75°55′–127°6′E and 26°55′–53°6′N) is located in central and western China, which is a transition area from traditional agricultural to animal husbandry. It is extremely sensitive to climatic changes. The corresponding changes of the ecosystem, represented by vegetation, under the dual influences of climate change and human activities are important issues in the study of the regional ecological environment. Based on the Savitzky–Golay (S–G) filtering method, the Global Inventory Modeling and Mapping Studies (GIMMS) Normalized Differential Vegetation Index (NDVI) dataset (NDVI3g) was reconstructed in this paper. Sen’s slope estimation, Mann–Kendall (M–K), multiple regression residual analysis, and the Hurst index were used to quantify the impacts of climate change and human activities on vegetation; in addition, the future persistence characteristics of the vegetation changes trend were analyzed. Vegetation changes in the study area had an obvious spatio-temporal heterogeneity. On an annual scale, the vegetation increased considerably, with a growth rate of 0.50%/10a. The multi-year mean value of NDVI and growth rate of cultivated land were the highest, followed by the forest land and grassland. On a seasonal scale, the vegetation cover increased most significantly in autumn, followed by spring and summer. In the southeastern and central parts of the study area, the vegetation cover increased significantly (P < 0.05), while it decreased significantly in the northeastern and southwestern parts. In summer, the NDVI value of all vegetation types (cultivated land, forest land and grassland) reached the maximum. The change rate of NDVI value for cultivated land reached the highest in autumn (1.57%/10a), forest land reached the highest in spring (1.15%/10a), and grassland reached the highest in autumn (0.49%/10a). The NDVI of cultivated land increased in all seasons, while forest land (−0.31%/10a) and grassland (−0.009%/10a) decreased in winter. Partial correlation analysis between vegetation and precipitation, temperature found that the areas with positive correlation accounted for 66.29% and 55.05% of the total area, respectively. Under the influence of climate change alone, 62.79% of the study area showed an increasing tendency, among which 46.79% showed a significant upward trend (P < 0.05). The NDVI decreased in 37.21% of the regions and decreased significantly in 14.88% of the regions (P < 0.05). Under the influence of human activities alone, the vegetation in the study area showed an upward trend in 59.61%, with a significant increase in 41.35% (P < 0.05), a downward trend in 40.39%, and a significant downward trend in 7.95% (P < 0.05). Vegetation growth is highly unstable and prone to drastic changes, depending on the environmental conditions.
Yang Li; Zhixiang Xie; Yaochen Qin; Zhicheng Zheng. Estimating Relations of Vegetation, Climate Change, and Human Activity: A Case Study in the 400 mm Annual Precipitation Fluctuation Zone, China. Remote Sensing 2019, 11, 1159 .
AMA StyleYang Li, Zhixiang Xie, Yaochen Qin, Zhicheng Zheng. Estimating Relations of Vegetation, Climate Change, and Human Activity: A Case Study in the 400 mm Annual Precipitation Fluctuation Zone, China. Remote Sensing. 2019; 11 (10):1159.
Chicago/Turabian StyleYang Li; Zhixiang Xie; Yaochen Qin; Zhicheng Zheng. 2019. "Estimating Relations of Vegetation, Climate Change, and Human Activity: A Case Study in the 400 mm Annual Precipitation Fluctuation Zone, China." Remote Sensing 11, no. 10: 1159.
The regions in China that intersect the 400 mm annual precipitation line are especially ecologically sensitive and extremely vulnerable to anthropogenic activities. However, in the context of climate change, the response of vegetation Net Primary Production (NPP) in this region has not been scientifically studied in depth. NPP suffers from the comprehensive effect of multiple climatic factors, and how to eliminate the effect of interfering variables in the correlation analysis of NPP and target variables (temperature or precipitation) is the major challenge in the study of NPP influencing factors. The correlation coefficient between NPP and target variable was calculated by ignoring other variables that also had a large impact on NPP. This increased the uncertainty of research results. Therefore, in this study, the second-order partial correlation analysis method was used to analyze the correlation between NPP and target variables by controlling other variables. This can effectively decrease the uncertainty of analysis results. In this paper, the univariate linear regression, coefficient of variation, and Hurst index estimation were used to study the spatial and temporal variations in NPP and analyze whether the NPP seasonal and annual variability will persist into the future. The results show the following: (i) The spatial distribution of NPP correlated with precipitation and had a gradually decreasing trend from southeast to northwest. From 2000 to 2015, the NPP in the study area had a general upward trend, with a small variation in its range. (ii) Areas with negative partial correlation coefficients between NPP and precipitation are consistent with the areas with more abundant water resources. The partial correlation coefficient between the NPP and the Land Surface Temperature (LST) was positive for 52.64% of the total study area. Finally, the prediction of the persistence of NPP variation into the future showed significant differences on varying time scales. On an annual scale, NPP was predicted to persist for 46% of the study area. On a seasonal scale, NPP in autumn was predicted to account for 49.92%, followed by spring (25.67%), summer (13.40%), and winter (6.75%).
Yang Li; Yaochen Qin. The Response of Net Primary Production to Climate Change: A Case Study in the 400 mm Annual Precipitation Fluctuation Zone in China. International Journal of Environmental Research and Public Health 2019, 16, 1497 .
AMA StyleYang Li, Yaochen Qin. The Response of Net Primary Production to Climate Change: A Case Study in the 400 mm Annual Precipitation Fluctuation Zone in China. International Journal of Environmental Research and Public Health. 2019; 16 (9):1497.
Chicago/Turabian StyleYang Li; Yaochen Qin. 2019. "The Response of Net Primary Production to Climate Change: A Case Study in the 400 mm Annual Precipitation Fluctuation Zone in China." International Journal of Environmental Research and Public Health 16, no. 9: 1497.
A set of exposure–response coefficients between fine particulate matter (PM2.5) pollution and different health endpoints were determined through the meta-analysis method based on 2254 studies collected from the Web of Science database. With data including remotely-sensed PM2.5 concentration, demographic data, health data, and survey data, a Poisson regression model was used to assess the health losses and their economic value caused by PM2.5 pollution in cities of atmospheric pollution transmission channel in the Beijing–Tianjin–Hebei region, China. The results showed the following: (1) Significant exposure–response relationships existed between PM2.5 pollution and a set of health endpoints, including all-cause death, death from circulatory disease, death from respiratory disease, death from lung cancer, hospitalization for circulatory disease, hospitalization for respiratory disease, and outpatient emergency treatment. Each increase of 10 μg/m3 in PM2.5 concentration led to an increase of 5.69% (95% CI (confidence interval): 4.12%, 7.85%), 6.88% (95% CI: 4.94%, 9.58%), 4.71% (95% CI: 2.93%, 7.57%), 9.53% (95% CI: 6.84%, 13.28%), 5.33% (95% CI: 3.90%, 7.27%), 5.50% (95% CI: 4.09%, 7.38%), and 6.35% (95% CI: 4.71%, 8.56%) for above-mentioned health endpoints, respectively. (2) PM2.5 pollution posed a serious threat to residents’ health. In 2016, the number of deaths, hospitalizations, and outpatient emergency visits induced by PM2.5 pollution in cities of atmospheric pollution transmission channel in the Beijing–Tianjin–Hebei region reached 309,643, 1,867,240, and 47,655,405, respectively, accounting for 28.36%, 27.02% and 30.13% of the total number of deaths, hospitalizations, and outpatient emergency visits, respectively. (3) The economic value of health losses due to PM2.5 pollution in the study area was approximately $28.1 billion, accounting for 1.52% of the gross domestic product. The economic value of health losses was higher in Beijing, Tianjin, Shijiazhuang, Zhengzhou, Handan, Baoding, and Cangzhou, but lower in Taiyuan, Yangquan, Changzhi, Jincheng, and Hebi.
Zhixiang Xie; Yang Li; Yaochen Qin; Peijun Rong. Value Assessment of Health Losses Caused by PM2.5 Pollution in Cities of Atmospheric Pollution Transmission Channel in the Beijing–Tianjin–Hebei Region, China. International Journal of Environmental Research and Public Health 2019, 16, 1012 .
AMA StyleZhixiang Xie, Yang Li, Yaochen Qin, Peijun Rong. Value Assessment of Health Losses Caused by PM2.5 Pollution in Cities of Atmospheric Pollution Transmission Channel in the Beijing–Tianjin–Hebei Region, China. International Journal of Environmental Research and Public Health. 2019; 16 (6):1012.
Chicago/Turabian StyleZhixiang Xie; Yang Li; Yaochen Qin; Peijun Rong. 2019. "Value Assessment of Health Losses Caused by PM2.5 Pollution in Cities of Atmospheric Pollution Transmission Channel in the Beijing–Tianjin–Hebei Region, China." International Journal of Environmental Research and Public Health 16, no. 6: 1012.
The Loess Plateau is located at the transition zone between agriculture and livestock farming; its spatial and temporal pattern of drought is the key for an appropriate adaptation to climate change. This study investigated monthly meteorological observation data of 79 meteorological stations from 1955 to 2014 to calculate the standardized precipitation evapotranspiration index at different time scales. The spatial and temporal characteristics and persistence of drought were analyzed. The results showed the following: (i) The drought trend is most apparent in spring (0.096/10a) and lower in summer (0.036/10a) and autumn (0.009/10a). (ii) A higher drought level indicates a lower frequency of droughts occurrence and vice versa. The frequency of light drought was highest (11.36%), while that of extreme drought was lowest (0.12%). (iii) The mean drought intensity was highest in summer, followed by spring, autumn, and winter. The drought intensity was mainly light, showing a pattern of severe drought in the northwest and light drought in the southeast. (iv) The Loess Plateau will continue a trend of drought in the future, but the season of the continuous intensity will differ. Droughts in spring and summer are highly persistent, autumn drought trends continue but may slow, and winter droughts become random events.
Yang Li; Zhixiang Xie; Yaochen Qin; Haoming Xia; Zhicheng Zheng; Lijun Zhang; Ziwu Pan; Zhenzhen Liu. Drought Under Global Warming and Climate Change: An Empirical Study of the Loess Plateau. Sustainability 2019, 11, 1281 .
AMA StyleYang Li, Zhixiang Xie, Yaochen Qin, Haoming Xia, Zhicheng Zheng, Lijun Zhang, Ziwu Pan, Zhenzhen Liu. Drought Under Global Warming and Climate Change: An Empirical Study of the Loess Plateau. Sustainability. 2019; 11 (5):1281.
Chicago/Turabian StyleYang Li; Zhixiang Xie; Yaochen Qin; Haoming Xia; Zhicheng Zheng; Lijun Zhang; Ziwu Pan; Zhenzhen Liu. 2019. "Drought Under Global Warming and Climate Change: An Empirical Study of the Loess Plateau." Sustainability 11, no. 5: 1281.
The accessibility of hospital facilities is of great importance not only for maintaining social stability, but also for protecting the basic human right to health care. Traditional accessibility research often lacks consideration of the dynamic changes in transport costs and does not reflect the actual travel time of urban residents, which is critical to time-sensitive hospital services. To avoid these defects, this study considered the city of Kaifeng, China, as an empirical case, and directly acquired travel time data for two travel modes to the hospital in different time periods through web mapping API (Application Program Interface). Further, based on travel time calculations, we compared five baseline indicators. For the last indicator, we used the optimal weighted accessibility model to measure hospital accessibility for each residential area. The study discovered significant differences in the frequency and spatial distribution of hospital accessibility using public transit and self-driving modes of transportation. In addition, there is an imbalance between accessibility travel times in the study area and the number of arrivals at hospitals. In particular, different modes of transportation and different travel periods also have a certain impact on accessibility of medical treatment. The research results shed new light on the accessibility of urban public facilities and provide a scientific basis with which local governments can optimize the spatial structure of hospital resources.
Zhicheng Zheng; Haoming Xia; Shrinidhi Ambinakudige; Yaochen Qin; Yang Li; Zhixiang Xie; Lijun Zhang; Haibin Gu. Spatial Accessibility to Hospitals Based on Web Mapping API: An Empirical Study in Kaifeng, China. Sustainability 2019, 11, 1160 .
AMA StyleZhicheng Zheng, Haoming Xia, Shrinidhi Ambinakudige, Yaochen Qin, Yang Li, Zhixiang Xie, Lijun Zhang, Haibin Gu. Spatial Accessibility to Hospitals Based on Web Mapping API: An Empirical Study in Kaifeng, China. Sustainability. 2019; 11 (4):1160.
Chicago/Turabian StyleZhicheng Zheng; Haoming Xia; Shrinidhi Ambinakudige; Yaochen Qin; Yang Li; Zhixiang Xie; Lijun Zhang; Haibin Gu. 2019. "Spatial Accessibility to Hospitals Based on Web Mapping API: An Empirical Study in Kaifeng, China." Sustainability 11, no. 4: 1160.
Predictions of prospectivity based on remote sensing were developed using alteration mineral indicative hyperspectral mapping and remote sensing anomaly filtering, combined with geological characteristics and anomalous mineral field verification. Based on the results of the hyperspectral mineral mapping and the actual geological ground conditions, the results of mapping of altered minerals, such as chlorite, muscovite, kaolinite, and iron oxide were validated, and gold, silver, copper, nickel, and other geochemical anomaly areas were identified for verification work. The results of hyperspectral mineral extraction show that the mineral assemblage closely related to gold deposits in shear zones is muscovite + chlorite + epidote + kaolinite. This alteration mineral assemblage can be used as regional search criteria for shear zone gold mineralisation and was the basis for the discovery of mineralised hydrothermal alteration centres and delineation of four prospective targets. Established on a spectral prospectivity model of the study area, prospective ore-bearing areas have been delineated, which indicate the direction for further geological and mineral resource surveys.
Ziwu Pan; Junjie Liu; Liqun Ma; Fengrui Chen; Guchang Zhu; Fen Qin; Hongliang Zhang; Jinting Huang; Yang Li; Juefan Wang. Research on Hyperspectral Identification of Altered Minerals in Yemaquan West Gold Field, Xinjiang. Sustainability 2019, 11, 428 .
AMA StyleZiwu Pan, Junjie Liu, Liqun Ma, Fengrui Chen, Guchang Zhu, Fen Qin, Hongliang Zhang, Jinting Huang, Yang Li, Juefan Wang. Research on Hyperspectral Identification of Altered Minerals in Yemaquan West Gold Field, Xinjiang. Sustainability. 2019; 11 (2):428.
Chicago/Turabian StyleZiwu Pan; Junjie Liu; Liqun Ma; Fengrui Chen; Guchang Zhu; Fen Qin; Hongliang Zhang; Jinting Huang; Yang Li; Juefan Wang. 2019. "Research on Hyperspectral Identification of Altered Minerals in Yemaquan West Gold Field, Xinjiang." Sustainability 11, no. 2: 428.
Temperatures over the past three decades have exhibited an asymmetric warming pattern between night and day throughout the Tibetan Plateau. However, the implications of such diurnally heterogeneous warming on vegetation growth is still poorly understood. In this paper, we evaluate how vegetation growth has responded to daytime and night-time warming at the regional, biome, and pixel scales based on normalized difference vegetation index (NDVI) and meteorological data from 1982 to 2015. We found a persistent increase in the growing seasonal minimum temperature (Tmin) and maximum temperature (Tmax) over the Tibetan Plateau between 1982–2015, whereas the rate of increase of Tmin was 1.7 times that of Tmax. After removing the correlations between Tmin, precipitation, and solar radiation, we found that the partial correlation between Tmax and NDVI was positive in wetter and colder areas and negative in semi-arid and arid regions. In contrast, the partial correlation between Tmin and NDVI was positive in high-cold steppe and meadow steppe and negative in montane steppe or wet forest. We also found diverse responses of vegetation type to daytime and night-time warming across the Tibetan Plateau. Our results provide a demonstration for studying regional responses of vegetation to climate extremes under global climate change.
Haoming Xia; Ainong Li; Gary Feng; Yang Li; Yaochen Qin; Guangbin Lei; Yaoping Cui. The Effects of Asymmetric Diurnal Warming on Vegetation Growth of the Tibetan Plateau over the Past Three Decades. Sustainability 2018, 10, 1103 .
AMA StyleHaoming Xia, Ainong Li, Gary Feng, Yang Li, Yaochen Qin, Guangbin Lei, Yaoping Cui. The Effects of Asymmetric Diurnal Warming on Vegetation Growth of the Tibetan Plateau over the Past Three Decades. Sustainability. 2018; 10 (4):1103.
Chicago/Turabian StyleHaoming Xia; Ainong Li; Gary Feng; Yang Li; Yaochen Qin; Guangbin Lei; Yaoping Cui. 2018. "The Effects of Asymmetric Diurnal Warming on Vegetation Growth of the Tibetan Plateau over the Past Three Decades." Sustainability 10, no. 4: 1103.