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Prof. Xiaohua Yang
Faculty Of School of Environment, Beijing Normal University

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0 Climate Change Adaptation
0 Climate change and water resources
0 Water Resources Carrying Capacity
0 Ecological Security

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Climate change and water resources
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Human Settlement Environment

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Journal article
Published: 15 April 2021 in Environmental Research
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This study investigated the impact of humidity and temperature on the spread of COVID-19 (SARS-CoV-2) by statistically comparing modelled pandemic dynamics (daily infection and recovery cases) with daily temperature and humidity of three climate zones (Mainland China, South America and Africa) from January to August 2020. We modelled the pandemic growth using a simple logistic function to derive information of the viral infection and describe the growth of infected and recovered cases. The results indicate that the infected and recovered cases of the first wave were controlled in China and managed in both South America and Africa. There is a negative correlation between both humidity (r = − 0.21; p = 0.27) and temperature (r = −0.22; p = 0.24) with spread of the virus. Though this study did not fully encompass socio-cultural factors, we recognise that local government responses, general health policies, population density and transportation could also affect the spread of the virus. The pandemic can be managed better in the second wave if stricter safety protocols are implemented. We urge various units to collaborate strongly and call on countries to adhere to stronger safety protocols in the second wave.

ACS Style

Pius Babuna; Chuanliang Han; Meijia Li; Amatus Gyilbag; Bian Dehui; Doris Abra Awudi; Roberto Xavier Supe Tulcan; Saini Yang; Xiaohua Yang. The effect of human settlement temperature and humidity on the growth rules of infected and recovered cases of COVID-19. Environmental Research 2021, 197, 111106 -111106.

AMA Style

Pius Babuna, Chuanliang Han, Meijia Li, Amatus Gyilbag, Bian Dehui, Doris Abra Awudi, Roberto Xavier Supe Tulcan, Saini Yang, Xiaohua Yang. The effect of human settlement temperature and humidity on the growth rules of infected and recovered cases of COVID-19. Environmental Research. 2021; 197 ():111106-111106.

Chicago/Turabian Style

Pius Babuna; Chuanliang Han; Meijia Li; Amatus Gyilbag; Bian Dehui; Doris Abra Awudi; Roberto Xavier Supe Tulcan; Saini Yang; Xiaohua Yang. 2021. "The effect of human settlement temperature and humidity on the growth rules of infected and recovered cases of COVID-19." Environmental Research 197, no. : 111106-111106.

Journal article
Published: 23 February 2021 in Journal of Cleaner Production
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The sustainable utilization of natural capital and its decoupling from economic growth are of vital importance to sustainable development. To measure the pressure on local natural capital, we proposed local ecological footprint (EF) accounts, including production-based biological accounts and consumption-based energy and build-up land accounts. We also modified the yield factor to facilitate temporal and regional comparisons for footprint indicators, based on the inter-temporal yield factor (IYF) and net primary production. The sustainability and decoupling effects of natural capital utilization were evaluated in 30 provinces of China during 2000–2016 using a modified three-dimensional EF model, sustainability reclassification method and decoupling index. The results indicated that a growing footprint became more dependent on local natural capital than on embodied net imports. From 2000 to 2016, local EF and biocapacity in terms of per capita in China increased by 1.16 times and 10.4%, respectively. The ecological deficit reached its peak in 2015 (1.85 global hectares/capita). The ecological surplus occurred in 10 provinces in 2000, while all provinces were in a state of ecological deficit in 2016. Per capita EF size increased in 25 provinces, due to the increase in IYF of cropland and build-up land area. EF depth in all provinces exceeded the original value of 1 and increased with values ranging from 0.10 to 5.81. The dominant sustainability types changed from low size-low depth in 2000 to low size-high depth and high size-low depth in 2016. Sustainability in China decreased overall despite increasing in 6 provinces. The decoupling of gross domestic product from EF size and depth was dominated by weak decoupling, followed by strong decoupling. Strong decoupling in EF size and weak decoupling in EF depth during 2014–2015 resulted in a severe deficit in 2015. These findings can provide insights for improving resource use efficiency and pursuing sustainable development.

ACS Style

Feifei Wu; Xiaohua Yang; Zhenyao Shen; Dehui Bian; Pius Babuna. Exploring sustainability and decoupling effects of natural capital utilization in China: Evidence from a provincial three-dimensional ecological footprint. Journal of Cleaner Production 2021, 295, 126486 .

AMA Style

Feifei Wu, Xiaohua Yang, Zhenyao Shen, Dehui Bian, Pius Babuna. Exploring sustainability and decoupling effects of natural capital utilization in China: Evidence from a provincial three-dimensional ecological footprint. Journal of Cleaner Production. 2021; 295 ():126486.

Chicago/Turabian Style

Feifei Wu; Xiaohua Yang; Zhenyao Shen; Dehui Bian; Pius Babuna. 2021. "Exploring sustainability and decoupling effects of natural capital utilization in China: Evidence from a provincial three-dimensional ecological footprint." Journal of Cleaner Production 295, no. : 126486.

Journal article
Published: 06 February 2021 in Journal of Cleaner Production
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Urban human settlements have an important impact on human health, livability and economy. To facilitate objective regionalization and identify impact factors, we established a two-stage model with spatiotemporal analysis and factor analysis. The suitability of urban human settlements and temporal and spatial changes in their characteristics were analyzed using the urban real human settlements (RHS) index and pseudo human settlements (PHS) index. Annual RHS and PHS values were calculated using panel data for 31 Chinese provinces and cities and Baidu search query data covering 2557 days. The findings were as follows: (1) The urban RHS and PHS indexes decrease from the southeastern coastal area to the northwestern inland area (excluding Beijing City). (2) The urban RHS index is larger than the PHS index, and the two indexes have a positive correlation, with an average correlation coefficient of 0.7 over 7 years. (3) Population size, social development and environmental governance are the main factors affecting the urban RHS and PHS indexes. (4) The urban RHS and PHS indexes fluctuate, and the values vary unevenly across space. Our research results can help policymakers identify the key factors affecting urban human settlements so that they can make better decisions.

ACS Style

Qirui Xue; Xiaohua Yang; Feifei Wu. A two-stage system analysis of real and pseudo urban human settlements in China. Journal of Cleaner Production 2021, 293, 126272 .

AMA Style

Qirui Xue, Xiaohua Yang, Feifei Wu. A two-stage system analysis of real and pseudo urban human settlements in China. Journal of Cleaner Production. 2021; 293 ():126272.

Chicago/Turabian Style

Qirui Xue; Xiaohua Yang; Feifei Wu. 2021. "A two-stage system analysis of real and pseudo urban human settlements in China." Journal of Cleaner Production 293, no. : 126272.

Journal article
Published: 10 August 2020 in International Journal of Environmental Research and Public Health
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This study investigated the impact of COVID-19 on the insurance industry by studying the case of Ghana from March to June 2020. With a parallel comparison to previous pandemics such as SARS-CoV, H1N1 and MERS, we developed outlines for simulating the impact of the pandemic on the insurance industry. The study used qualitative and quantitative interviews to estimate the impact of the pandemic. Presently, the trend is an economic recession with decreasing profits but increasing claims. Due to the cancellation of travels, events and other economic losses, the Ghanaian insurance industry witnessed a loss currently estimated at GH Ȼ112 million. Our comparison and forecast predicts a normalization of economic indicators from January 2021. In the meantime, while the pandemic persists, insurers should adapt to working from remote locations, train and equip staff to work under social distancing regulations, enhance cybersecurity protocols and simplify claims/premium processing using e-payment channels. It will require the collaboration of the Ghana Ministry of Health, Banking Sector, Police Department, Customs Excise and Preventive Service, other relevant Ministries and the international community to bring the pandemic to a stop.

ACS Style

Pius Babuna; Xiaohua Yang; Amatus Gyilbag; Doris Abra Awudi; David Ngmenbelle; Dehui Bian. The Impact of COVID-19 on the Insurance Industry. International Journal of Environmental Research and Public Health 2020, 17, 5766 .

AMA Style

Pius Babuna, Xiaohua Yang, Amatus Gyilbag, Doris Abra Awudi, David Ngmenbelle, Dehui Bian. The Impact of COVID-19 on the Insurance Industry. International Journal of Environmental Research and Public Health. 2020; 17 (16):5766.

Chicago/Turabian Style

Pius Babuna; Xiaohua Yang; Amatus Gyilbag; Doris Abra Awudi; David Ngmenbelle; Dehui Bian. 2020. "The Impact of COVID-19 on the Insurance Industry." International Journal of Environmental Research and Public Health 17, no. 16: 5766.

Journal article
Published: 15 June 2020 in Water
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The Yangtze River Economic Delta (YRED) faces inequality in water use in large proportions due to rapid industrialization. This study adopted the Gini coefficient and Global Moran’s index to calculate inequality, its spatial spread and water use efficiency of cities in the YRED and categorized them into types based on the spatial spread of inequality. In general, inequality is reducing, but water use efficiency is poor. Inequality was rated 0–1; zero being the highest equality while 1 indicates the highest inequality. There is relatively high inequality (0.4–0.5) in Shanghai, Suzhou and Hefei. Most cities (20), however, showed equality (below 0.2). Nine (9) cities showed relative equality (0.2–0.3), while Wuxi, Bengbu and Zhenjiang were neutral (0.3–0.4). No city scored above 0.5. Water use efficiency in the majority of cities was poor. Only 11 out of 35 cities scored more than 50% efficiency. Poor irrigation, income and industrial water demand are the factors driving inefficiency and inequality. The categorization of cities into groups produced nine city types according to the spatial disposition of inequality. A combined effort to formulate policies targeting improved water use efficiency, reduced industrial consumption and improved irrigation, tailored towards the specific situation of each city type, would eliminate inequality.

ACS Style

Pius Babuna; Xiaohua Yang; Dehui Bian. Water Use Inequality and Efficiency Assessments in the Yangtze River Economic Delta of China. Water 2020, 12, 1 .

AMA Style

Pius Babuna, Xiaohua Yang, Dehui Bian. Water Use Inequality and Efficiency Assessments in the Yangtze River Economic Delta of China. Water. 2020; 12 (6):1.

Chicago/Turabian Style

Pius Babuna; Xiaohua Yang; Dehui Bian. 2020. "Water Use Inequality and Efficiency Assessments in the Yangtze River Economic Delta of China." Water 12, no. 6: 1.

Journal article
Published: 05 February 2020 in Water
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Water shortage, water pollution, shrinking water area and water mobility are the main contents of the water resources crisis, which are widespread in the social and economic development of Jilin Province. In this paper, a three-stage hybrid model integrating evaluation, prediction and regulation is constructed by combining the load-balance method and the system dynamics method. Using this model, the current states of water resources carrying capacity (WRCC) in 2017 and the trend of water demand/available from 2018 to 2030 were obtained. Using the orthogonal test method, the optimal combination program of agricultural and industrial water efficiency regulation and water resources allocation was selected. The results show that the pressure of the human–water resources system in Changchun, Liaoyuan and Baicheng is greater than the support, and the other six cities are not overloaded. The water demand in Jilin Province and its nine cities will increase from 2018 to 2030, if the current socio-economic development pattern is maintained. Therefore, we change the water quantity carrying capacity index by controlling agriculture, industrial water efficiency and trans-regional water transfer. Compared with 2015, among the optimal program obtained, the change range of the water use per 10,000 RMB of agricultural output is (−5%, 25%), and the water use per 10,000 RMB of industrial added value is (−45%, −35%), and the maximum water transfer is 1.5 billion m3 per year in 2030. This study analyzes the development pattern of WRCC in the process of water conservancy modernization in Jilin Province and provides reference for other provinces to make the similar plan.

ACS Style

Tong Liu; Xiaohua Yang; Leihua Geng; Boyang Sun. A Three-Stage Hybrid Model for Space-Time Analysis of Water Resources Carrying Capacity: A Case Study of Jilin Province, China. Water 2020, 12, 426 .

AMA Style

Tong Liu, Xiaohua Yang, Leihua Geng, Boyang Sun. A Three-Stage Hybrid Model for Space-Time Analysis of Water Resources Carrying Capacity: A Case Study of Jilin Province, China. Water. 2020; 12 (2):426.

Chicago/Turabian Style

Tong Liu; Xiaohua Yang; Leihua Geng; Boyang Sun. 2020. "A Three-Stage Hybrid Model for Space-Time Analysis of Water Resources Carrying Capacity: A Case Study of Jilin Province, China." Water 12, no. 2: 426.

Journal article
Published: 21 November 2019 in Science of The Total Environment
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The Yangtze River Delta urban agglomeration is an important region in China, but the limited space supports a large scale and high intensity of economic and social activities. To objectively evaluate the Yangtze River Delta urban agglomeration land resources comprehensive supporting capacity (LRCSC), the spatial distribution pattern and the factors affecting the comprehensive supporting capacity’s spatial heterogeneity, this study established a three-stage hybrid model, and the model included regional assessment, spatial pattern analysis and source apportionment to quantitatively evaluate the integrated space based on the comprehensive supporting capacity for regional land resources. First, based on the data of 26 cities in the 2016 Yangtze River Delta urban agglomeration and the data of 25 indicators, we calculated the LRCSC index for each city. Then, we visualized the supporting capacity based on the space distribution and used the Pearson correlation coefficient method to determine the factors influencing the comprehensive supporting capacity’s spatial heterogeneity. Finally, we used the factor analysis method to further identify the key factors affecting LRCSC. The results show that (1) the horizontal spatial difference of the LRCSC in the Yangtze River Delta urban agglomeration is large, the overall change in the LRCSC index shows the spatial differentiation feature of “gradually decreasing from the centre to the surrounding area”, and the local spatial distribution shows the distribution feature of point dispersion and zonal aggregation. (2) The degree of correlation between the LRCSC and social development element is the strongest in the element layer and the correlation coefficient between them is 0.548803. Among them, social development is positively correlated with economic technology. (3) The population density and per capita gross domestic product (GDP) are two important factors affecting the spatial differences in LRCSC in the Yangtze River Delta urban agglomerations.

ACS Style

Qirui Xue; Xiaohua Yang; Feifei Wu. A three-stage hybrid model for the regional assessment, spatial pattern analysis and source apportionment of the land resources comprehensive supporting capacity in the Yangtze River Delta urban agglomeration. Science of The Total Environment 2019, 711, 134428 .

AMA Style

Qirui Xue, Xiaohua Yang, Feifei Wu. A three-stage hybrid model for the regional assessment, spatial pattern analysis and source apportionment of the land resources comprehensive supporting capacity in the Yangtze River Delta urban agglomeration. Science of The Total Environment. 2019; 711 ():134428.

Chicago/Turabian Style

Qirui Xue; Xiaohua Yang; Feifei Wu. 2019. "A three-stage hybrid model for the regional assessment, spatial pattern analysis and source apportionment of the land resources comprehensive supporting capacity in the Yangtze River Delta urban agglomeration." Science of The Total Environment 711, no. : 134428.

Journal article
Published: 22 August 2019 in Sustainability
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China’s water shortage problem is becoming increasingly severe. Improving water use efficiency is crucial to alleviating China’s water crisis. This paper evaluates the water use efficiency of 31 provinces and municipalities in China by using the data envelopment analysis (DEA) method. When the usual DEA model has too many indexes selected, it will cause the majority of the decision making units (DMUs) efficiency values be one, which leads to invalid evaluation results. Therefore, by using the entropy weight method, a new synthetic set of indexes is constructed based on the original indexes. The new synthetic set of indexes retains the full information of the original indexes, and the goal of simplifying the number of indexes is achieved. Simultaneously, by empowering the original indexes, the evaluation using synthetic indexes can also avoid the impact of industrial structure and labor division on water use efficiency. The results show that in China’s northeastern grain producing areas, water use efficiency is higher due to the high level of agricultural modernization. The provinces in the middle reaches of the Yangtze River have the lowest water use efficiency due to water pollution and water waste. In general, China’s overall water use efficiency is low, and there is still much room for improvement.

ACS Style

Boyang Sun; Xiaohua Yang; Yipeng Zhang; Xiaojuan Chen. Evaluation of Water Use Efficiency of 31 Provinces and Municipalities in China Using Multi-Level Entropy Weight Method Synthesized Indexes and Data Envelopment Analysis. Sustainability 2019, 11, 4556 .

AMA Style

Boyang Sun, Xiaohua Yang, Yipeng Zhang, Xiaojuan Chen. Evaluation of Water Use Efficiency of 31 Provinces and Municipalities in China Using Multi-Level Entropy Weight Method Synthesized Indexes and Data Envelopment Analysis. Sustainability. 2019; 11 (17):4556.

Chicago/Turabian Style

Boyang Sun; Xiaohua Yang; Yipeng Zhang; Xiaojuan Chen. 2019. "Evaluation of Water Use Efficiency of 31 Provinces and Municipalities in China Using Multi-Level Entropy Weight Method Synthesized Indexes and Data Envelopment Analysis." Sustainability 11, no. 17: 4556.

Journal article
Published: 24 May 2019 in Water
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In order to comprehensively evaluate the water resources carrying capacity in Xiong’an New Area, a system dynamics (SD) model was established to evaluate the regional water resources carrying capacity, for which several scenarios were designed: the original development scenario, the accelerated industrialization scenario, the environmental governance scenario, and the optimization development scenario. The results show that, compared with the original development scenario, the water resources carrying capacity in Xiong’an New Area can be improved in other scenarios, but a water supply and demand gap will be generated due to the lack of groundwater overdraft and a water transfer project. In 2026, under the accelerated industrialization scenario, the population carrying capacity will be 2.652 million, and the water supply and demand gap will be 1.13 × 108 m3; under the environmental governance scenario, the population carrying capacity will be 2.36 million, and the water supply and demand gap will be 0.44 × 108 m3; under the optimal development scenario, the population carrying capacity will be 2.654 million, and since the supply of water resources will be greater than the demand, there will not be a gap between supply and demand, making it the most feasible scenario to effectively alleviate the tension between industry restructuring, environmental management, and water resources development and utilization. The findings of this study can provide reference and decision support for optimizing regional water resources allocation and enhancing water resources carrying capacity in Xiong’an New Area.

ACS Style

Boyang Sun; Xiaohua Yang. Simulation of Water Resources Carrying Capacity in Xiong’an New Area Based on System Dynamics Model. Water 2019, 11, 1085 .

AMA Style

Boyang Sun, Xiaohua Yang. Simulation of Water Resources Carrying Capacity in Xiong’an New Area Based on System Dynamics Model. Water. 2019; 11 (5):1085.

Chicago/Turabian Style

Boyang Sun; Xiaohua Yang. 2019. "Simulation of Water Resources Carrying Capacity in Xiong’an New Area Based on System Dynamics Model." Water 11, no. 5: 1085.

Journal article
Published: 28 April 2019 in Agricultural and Forest Meteorology
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Open water evaporation (Eow), such as evaporation of lake and reservoir, is typically estimated by observations of different pans. The observation networks of pan evaporation (Epan) were established and maintained worldwide for a long history. All the pans in the world consist of water body and pan wall, which includes side wall, pan rim and (if any) pan bottom. Since the pan wall will affect Epan by radiation absorption and heat conduction, once pan wall absorbs and conducts more heat for vaporizing than water body in a pan, observed Epan dynamics will greatly deviate Eow causing uncertainties and errors in estimating Eow. Thus, this study calculated Epan at 767 meteorological stations in China and quantified the contributions of water body and pan wall on Epan trends. For China as a whole, Epan decreased at -3.75 mm/a2 and increased at 3.68 mm/a2 during 1960–1993 and 1993–2016, respectively. 84% of Epan trends were contributed by water body. For 767 stations, Epan trends of 84 and 96 stations were dominated by pan wall during 1960–1993 and 1993–2016, respectively. Since pan wall contributed more than half of Epan trends for ˜23% of the stations in China, the impacts of pan wall on Epan dynamics cannot be ignored.

ACS Style

Kaiwen Wang; Xiaomang Liu; Changming Liu; Xiaohua Yang; Peng Bai; Yuqi Li; Zharong Pan. The unignorable impacts of pan wall on pan evaporation dynamics. Agricultural and Forest Meteorology 2019, 274, 42 -50.

AMA Style

Kaiwen Wang, Xiaomang Liu, Changming Liu, Xiaohua Yang, Peng Bai, Yuqi Li, Zharong Pan. The unignorable impacts of pan wall on pan evaporation dynamics. Agricultural and Forest Meteorology. 2019; 274 ():42-50.

Chicago/Turabian Style

Kaiwen Wang; Xiaomang Liu; Changming Liu; Xiaohua Yang; Peng Bai; Yuqi Li; Zharong Pan. 2019. "The unignorable impacts of pan wall on pan evaporation dynamics." Agricultural and Forest Meteorology 274, no. : 42-50.

Journal article
Published: 12 April 2019 in Atmosphere
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The human settlement environment is the object on which human survival depends. In this study, six single factor suitability models and a comprehensive index model of the human settlement natural environment were established. The six single factor models included topography, hydrology, vegetation, soil, temperature and humidity, and land surface temperature. This study took 1 km × 1 km as the pixel size and relied on the ArcGIS platform to systematically and quantitatively evaluate the human settlement environment of the lower reaches of the Yangtze river. The results show that: (1) From the evaluation results of single natural elements, the topography of the study area is relatively flat, with a small number of hydraulic erosion areas. Besides, there are significant differences between the north and the south in temperature and humidity, hydrology, vegetation, and land surface temperature. (2) In 2015, the most suitable areas of human settlement environment were mainly distributed in the plains along the Yangtze river, the plain of northern Zhejiang, and the Poyang plain. The most unsuitable areas are mainly distributed in mountainous areas, such as the mountain area of southern Zhejiang and Dabie mountain area. Topography and vegetation are the dominant factors for classification. (3) From the perspective of space, the score of the human settlement natural environment in Shanghai is above the average, and the best among the other provinces is Jiangsu province, while Zhejiang, Jiangxi, and Anhui provinces have little difference. From the perspective of time, the overall level of the suitability in the lower reaches of the Yangtze river has been improved from 2005 to 2015, mainly due to the influence of temperature and humidity index and water resource index.

ACS Style

Fan Song; Xiaohua Yang; Feifei Wu. Suitable Pattern of the Natural Environment of Human Settlements in the Lower Reaches of the Yangtze River. Atmosphere 2019, 10, 200 .

AMA Style

Fan Song, Xiaohua Yang, Feifei Wu. Suitable Pattern of the Natural Environment of Human Settlements in the Lower Reaches of the Yangtze River. Atmosphere. 2019; 10 (4):200.

Chicago/Turabian Style

Fan Song; Xiaohua Yang; Feifei Wu. 2019. "Suitable Pattern of the Natural Environment of Human Settlements in the Lower Reaches of the Yangtze River." Atmosphere 10, no. 4: 200.

Journal article
Published: 16 March 2019 in Journal of Hydrology
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Pan coefficients (Kp) of China D20 pans ranged from 0.29 to 0.91 across China. The seasonal relationship of Kp was Summer > Annual > Autumn ∼ Spring ∼ Winter. Kp of the China D20 pan was most sensitive to relative humidity.

ACS Style

Kaiwen Wang; Xiaomang Liu; Wei Tian; Yanzhong Li; Kang Liang; Changming Liu; Yuqi Li; Xiaohua Yang. Pan coefficient sensitivity to environment variables across China. Journal of Hydrology 2019, 572, 582 -591.

AMA Style

Kaiwen Wang, Xiaomang Liu, Wei Tian, Yanzhong Li, Kang Liang, Changming Liu, Yuqi Li, Xiaohua Yang. Pan coefficient sensitivity to environment variables across China. Journal of Hydrology. 2019; 572 ():582-591.

Chicago/Turabian Style

Kaiwen Wang; Xiaomang Liu; Wei Tian; Yanzhong Li; Kang Liang; Changming Liu; Yuqi Li; Xiaohua Yang. 2019. "Pan coefficient sensitivity to environment variables across China." Journal of Hydrology 572, no. : 582-591.

Journal article
Published: 13 February 2019 in Science of The Total Environment
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The optimized design of outdoor environment is of utmost importance due to its impact on human health, urban livability and energy consumption inside buildings. The outdoor thermal comfort and its spatiotemporal variations were assessed using Universal Thermal Climate Index (UTCI). Annual and seasonal UTCI were calculated using the daily dataset collected from 591 stations in China between 1966 and 2016. A REOF-cluster-EOF hybrid model was developed to optimize regionalization and assess regional-scale variations for UTCI. The results showed the following: (1) UTCI values decreased due to the increase of the latitude in China except for the Qinghai-Tibet Plateau. 69.5% of the total area of China experienced “no thermal stress” conditions in summer, whereas it was only 7.7% in winter. Additionally, the outdoor environment in summer had a wider “thermal comfort zone” than that in other seasons. (2) China was divided into a small number of regions with coherent UTCI changes using REOF analysis and K-means clustering algorithm. Eight homogeneous regions were obtained for annual UTCI. From spring to winter, the numbers of homogeneous regions were eight, nine, ten and seven, respectively. (3) Using EOF analysis, dominant patterns of UTCI in each region were extracted by the first two EOF modes, which accounted for >60% of the total variance. In the first mode, the significant upward trends of UTCI were detected in each region, suggesting the stronger outdoor heat stress. In the second mode, UTCI showed fluctuation between the cold and warm periods with different turning points between regions. Overall, the outdoor thermal comfort seemed to be improved more in high-latitude regions than that in low-latitude regions.

ACS Style

Feifei Wu; Xiaohua Yang; Zhenyao Shen. Regional and seasonal variations of outdoor thermal comfort in China from 1966 to 2016. Science of The Total Environment 2019, 665, 1003 -1016.

AMA Style

Feifei Wu, Xiaohua Yang, Zhenyao Shen. Regional and seasonal variations of outdoor thermal comfort in China from 1966 to 2016. Science of The Total Environment. 2019; 665 ():1003-1016.

Chicago/Turabian Style

Feifei Wu; Xiaohua Yang; Zhenyao Shen. 2019. "Regional and seasonal variations of outdoor thermal comfort in China from 1966 to 2016." Science of The Total Environment 665, no. : 1003-1016.

Journal article
Published: 09 October 2018 in Journal of Geophysical Research: Atmospheres
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ACS Style

Kaiwen Wang; Xiaomang Liu; Yuqi Li; Changming Liu; Xiaohua Yang. A Generalized Evaporation Model for Chinese Pans. Journal of Geophysical Research: Atmospheres 2018, 123, 10,943 -10,966.

AMA Style

Kaiwen Wang, Xiaomang Liu, Yuqi Li, Changming Liu, Xiaohua Yang. A Generalized Evaporation Model for Chinese Pans. Journal of Geophysical Research: Atmospheres. 2018; 123 (19):10,943-10,966.

Chicago/Turabian Style

Kaiwen Wang; Xiaomang Liu; Yuqi Li; Changming Liu; Xiaohua Yang. 2018. "A Generalized Evaporation Model for Chinese Pans." Journal of Geophysical Research: Atmospheres 123, no. 19: 10,943-10,966.

Technical note
Published: 02 October 2018 in Hydrology and Earth System Sciences
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Understanding the complexity of natural systems, such as climate systems, is critical for various research and application purposes. A range of techniques have been developed to quantify system complexity, among which the Grassberger–Procaccia (G-P) algorithm has been used the most. However, the use of this method is still not adaptive and the choice of scaling regions relies heavily on subjective criteria. To this end, an improved G-P algorithm was proposed, which integrated the normal-based K-means clustering technique and random sample consensus (RANSAC) algorithm for computing correlation dimensions. To test its effectiveness for computing correlation dimensions, the proposed algorithm was compared with traditional methods using the classical Lorenz and Henon chaotic systems. The results revealed that the new method outperformed traditional algorithms in computing correlation dimensions for both chaotic systems, demonstrating the improvement made by the new method. Based on the new algorithm, the complexity of precipitation, and air temperature in the Hai River basin (HRB) in northeastern China was further evaluated. The results showed that there existed considerable regional differences in the complexity of both climatic variables across the HRB. Specifically, precipitation was shown to become progressively more complex from the mountainous area in the northwest to the plain area in the southeast, whereas the complexity of air temperature exhibited an opposite trend, with less complexity in the plain area. Overall, the spatial patterns of the complexity of precipitation and air temperature reflected the influence of the dominant climate system in the region.

ACS Style

Chongli Di; Tiejun Wang; Xiaohua Yang; Siliang Li. Technical note: An improved Grassberger–Procaccia algorithm for analysis of climate system complexity. Hydrology and Earth System Sciences 2018, 22, 5069 -5079.

AMA Style

Chongli Di, Tiejun Wang, Xiaohua Yang, Siliang Li. Technical note: An improved Grassberger–Procaccia algorithm for analysis of climate system complexity. Hydrology and Earth System Sciences. 2018; 22 (10):5069-5079.

Chicago/Turabian Style

Chongli Di; Tiejun Wang; Xiaohua Yang; Siliang Li. 2018. "Technical note: An improved Grassberger–Procaccia algorithm for analysis of climate system complexity." Hydrology and Earth System Sciences 22, no. 10: 5069-5079.

Journal article
Published: 01 October 2018 in Journal of Water and Climate Change
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In order to assess the water resources carrying capacity (WRCC) of Hubei province, an improved catastrophe progression method based on M-K test and correlation analysis was established. This model includes evaluation, abrupt change test and correlation analysis. It can make a comprehensive assessment of water resource carrying capacity in a certain area. The evaluation results of this model are clear and can effectively avoid the effects of subjective weight and, in addition, it can also streamline the index system. We applied the model to study the WRCC of Hubei province from 2005 to 2016, considering the supply and demand of water resources, ecological environment, economy and society. The results showed that the WRCC of Hubei province is at the ‘weak’ level, presenting a certain development and utilization potential, but it must be strictly controlled and moderately developed. The WRCC of Hubei province is improving, but must be adjusted by water conservation facilities and long-term management policies to prevent the foreseeable deterioration. Water supply and demand systems and ecological environment systems were found to be the driving factors of WRCC through correlation analysis. This approach gives the decision-makers suggestions about water resource sustainable utilization.

ACS Style

Fan Song; Xiaohua Yang; Feifei Wu. Catastrophe progression method based on M-K test and correlation analysis for assessing water resources carrying capacity in Hubei province. Journal of Water and Climate Change 2018, 11, 556 -567.

AMA Style

Fan Song, Xiaohua Yang, Feifei Wu. Catastrophe progression method based on M-K test and correlation analysis for assessing water resources carrying capacity in Hubei province. Journal of Water and Climate Change. 2018; 11 (2):556-567.

Chicago/Turabian Style

Fan Song; Xiaohua Yang; Feifei Wu. 2018. "Catastrophe progression method based on M-K test and correlation analysis for assessing water resources carrying capacity in Hubei province." Journal of Water and Climate Change 11, no. 2: 556-567.

Conference paper
Published: 23 July 2018 in Journal of Physics: Conference Series
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Urban ecosystem (UE) is a typical "natural-social-economic system". In the process of a new round of urbanization, urban ecosystems are facing challenges on ecological land reduction and environmental degradation. Better understanding and optimizing the evolutionary directions of UE are of great significance for both urban sustainable development and eco-civilization construction. In this study, based on dissipative structure theory and urban nature-economy-society complex ecosystem theory, the indicator system of evaluating UE developing direction was set up through information entropy method. This indicator system was made up by four types of information entropy including backup inflow entropy, imposed output entropy, destructive metabolism entropy, and regenerative metabolism entropy. Then, Jiangsu province were selected as the study area. Year-based information entropy model together with UE evolution index system were applied to analyse the order and complexity of UE during 2005-2015; The weights of indicators evaluating UE were calculated. Furthermore, the index scores of UE were calculated by combing with standardization values of indicators. And urban ecosystem sustainable development level was evaluated based on integrated development degree and coordinated development degree models. This study aims to provide a theoretical reference for the sustainable development and optimization of UE health in the Jiangsu province.

ACS Style

Fan Song; Xiao-Hua Yang; Tong Liu. Evaluation of the Sustainable Development Ability of the Urban Ecosystem in Jiangsu Province Based on the Information Entropy. Journal of Physics: Conference Series 2018, 1060, 012086 .

AMA Style

Fan Song, Xiao-Hua Yang, Tong Liu. Evaluation of the Sustainable Development Ability of the Urban Ecosystem in Jiangsu Province Based on the Information Entropy. Journal of Physics: Conference Series. 2018; 1060 (1):012086.

Chicago/Turabian Style

Fan Song; Xiao-Hua Yang; Tong Liu. 2018. "Evaluation of the Sustainable Development Ability of the Urban Ecosystem in Jiangsu Province Based on the Information Entropy." Journal of Physics: Conference Series 1060, no. 1: 012086.

Journal article
Published: 14 June 2018 in DEStech Transactions on Environment, Energy and Earth Sciences
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We modeled the water resources carrying capacity with a catastrophe progression method based on catastrophe theory while considering the supply and demand for water resources, the economy, the ecological environment and society. Then, we applied the model to study the water resources carrying capacity of Jilin Province from 2009 to 2015. The results showed that the water resources carrying capacity of Jilin Province is at the "middle" level. A certain development and utilization potential is present, but it must be strictly controlled and moderately developed. The amount of water resources in Jilin Province varies greatly by year and must be adjusted via water conservation facilities and long-term management policies. The catastrophe progression method can effectively avoid the effects of subjective weight on the results; the result is clear, and it can streamline the index system. This approach provides a new method for the evaluation of the water resources carrying capacity.

ACS Style

Fan Song; Xiao-Hua Yang; Fei-Fei Wu. Application of Catastrophe Progression Method in Assessing Water Resources Carrying Capacity of Jilin Province. DEStech Transactions on Environment, Energy and Earth Sciences 2018, 1 .

AMA Style

Fan Song, Xiao-Hua Yang, Fei-Fei Wu. Application of Catastrophe Progression Method in Assessing Water Resources Carrying Capacity of Jilin Province. DEStech Transactions on Environment, Energy and Earth Sciences. 2018; (ICPEEE):1.

Chicago/Turabian Style

Fan Song; Xiao-Hua Yang; Fei-Fei Wu. 2018. "Application of Catastrophe Progression Method in Assessing Water Resources Carrying Capacity of Jilin Province." DEStech Transactions on Environment, Energy and Earth Sciences , no. ICPEEE: 1.

Journal article
Published: 01 June 2018 in Atmospheric Research
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Temperature anomalies have received increasing attention due to their potentially severe impacts on ecosystems, economy and human health. To facilitate objective regionalization and examine regional temperature anomalies, a three-stage hybrid model with stages of regionalization, trends and sensitivity analyses was developed. Annual mean and extreme temperatures were analyzed using the daily data collected from 537 stations in China from 1966 to 2015, including the annual mean, minimum and maximum temperatures (Tm, TNm and TXm) as well as the extreme minimum and maximum temperatures (TNe and TXe). The results showed the following: (1) subregions with coherent temperature changes were identified using the rotated empirical orthogonal function analysis and K-means clustering algorithm. The numbers of subregions were 6, 7, 8, 9 and 8 for Tm, TNm, TXm, TNe and TXe, respectively. (2) Significant increases in temperature were observed in most regions of China from 1966 to 2015, although warming slowed down over the last decade. This warming primarily featured a remarkable increase in its minimum temperature. For Tm and TNm, 95% of the stations showed a significant upward trend at the 99% confidence level. TNe increased the fastest, at a rate of 0.56 °C/decade, whereas 21% of the stations in TXe showed a downward trend. (3) The mean temperatures (Tm, TNm and TXm) in the high-latitude regions increased more quickly than those in the low-latitude regions. The maximum temperature increased significantly at high elevations, whereas the minimum temperature increased greatly at middle-low elevations. The most pronounced warming occurred in eastern China in TNe and northwestern China in TXe, with mean elevations of 51 m and 2098 m, respectively. A cooling trend in TXe was observed at the northwestern end of China. The warming rate in TNe varied the most among the subregions (0.63 °C/decade).

ACS Style

Feifei Wu; Xiaohua Yang; Zhenyao Shen. A three-stage hybrid model for regionalization, trends and sensitivity analyses of temperature anomalies in China from 1966 to 2015. Atmospheric Research 2018, 205, 80 -92.

AMA Style

Feifei Wu, Xiaohua Yang, Zhenyao Shen. A three-stage hybrid model for regionalization, trends and sensitivity analyses of temperature anomalies in China from 1966 to 2015. Atmospheric Research. 2018; 205 ():80-92.

Chicago/Turabian Style

Feifei Wu; Xiaohua Yang; Zhenyao Shen. 2018. "A three-stage hybrid model for regionalization, trends and sensitivity analyses of temperature anomalies in China from 1966 to 2015." Atmospheric Research 205, no. : 80-92.

Journal article
Published: 01 January 2018 in Thermal Science
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To improve the precision of parameters? estimation in Philip infiltration model, chaos gray-coded genetic algorithm was introduced. The optimization algorithm made it possible to change from the discrete form of time perturbation function to a more flexible continuous form. The software RETC and Hydrus-1D were applied to estimate the soil physical parameters and referenced cumulative infiltration for seven different soils in the USDA soil texture triangle. The comparisons among Philip infiltration model with different numerical calculation methods showed that using optimization technique can increase the Nash and Sutcliffe efficiency from 0.82 to 0.97, and decrease the percent bias from 14% to 2%. The results indicated that using the discrete relationship of time perturbation function in Philip infiltration model?s numerical calculation underestimated model?s parameters, but this problem can be corrected a lot by using optimization algorithm. We acknowledge that in this study the fitting of time perturbation function, Chebyshev polynomial with order 20, did not perform perfectly near saturated and residue water content. So exploring a more appropriate function for representing time perturbation function is valuable in the future.

ACS Style

Kaiwen Wang; Xiaohua Yang; Yu-Qi Li; Chang-Ming Liu; Xing-Jian Guo. An application of chaos gray-encoded genetic algorithm for Philip infiltration model. Thermal Science 2018, 22, 1581 -1588.

AMA Style

Kaiwen Wang, Xiaohua Yang, Yu-Qi Li, Chang-Ming Liu, Xing-Jian Guo. An application of chaos gray-encoded genetic algorithm for Philip infiltration model. Thermal Science. 2018; 22 (4):1581-1588.

Chicago/Turabian Style

Kaiwen Wang; Xiaohua Yang; Yu-Qi Li; Chang-Ming Liu; Xing-Jian Guo. 2018. "An application of chaos gray-encoded genetic algorithm for Philip infiltration model." Thermal Science 22, no. 4: 1581-1588.