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Article ; Online: Spatiotemporal variations of air pollutants based on ground observation and emission sources over 19 Chinese urban agglomerations during 2015-2019.

Tao, Tianhui / Shi, Yishao / Gilbert, Katabarwa Murenzi / Liu, Xinyi

2022 Volume 12, Issue 1, Page(s) 4293

Abstract: The "comparative attitude" of urban agglomerations involves multidimensional perspectives such as infrastructure, ecological protection, and air pollution. Based on monitoring station data, comparative studies of multispatial, multitimescale and ... ...

Abstract	The "comparative attitude" of urban agglomerations involves multidimensional perspectives such as infrastructure, ecological protection, and air pollution. Based on monitoring station data, comparative studies of multispatial, multitimescale and multiemission pollution sources of air quality on 19 urban agglomerations during the 13th Five-Year Plan period in China were explored by mathematical statistics. The comparison results are all visualized and show that clean air days gradually increased and occurred mainly in summer, especially in South and Southwest China. PM
MeSH term(s)	Air Pollutants/analysis ; Air Pollution/analysis ; China ; Environmental Monitoring/methods ; Particulate Matter/analysis
Chemical Substances	Air Pollutants ; Particulate Matter
Language	English
Publishing date	2022-03-11
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-022-08377-9
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Multidimensional Assessment of Lake Water Ecosystem Services Using Remote Sensing

Shi, Donghui / Shi, Yishao / Wu, Qiusheng

Remote Sensing. 2021 Sept. 06, v. 13, no. 17

2021

Abstract: Freshwater is becoming scarce worldwide with the rapidly growing population, developing industries, burgeoning agriculture, and increasing consumption. Assessment of ecosystem services has been regarded as a promising way to reconcile the increasing ... ...

Abstract	Freshwater is becoming scarce worldwide with the rapidly growing population, developing industries, burgeoning agriculture, and increasing consumption. Assessment of ecosystem services has been regarded as a promising way to reconcile the increasing demand and depleting natural resources. In this paper, we proposed a multidimensional assessment framework for evaluating water provisioning ecosystem services by integrating multi-source remote sensing products. We applied the multidimensional framework to assess lake water ecosystem services in the state of Minnesota, US. We found that: (1) the water provisioning ecosystem services degraded during 1998–2018 from three assessment perspectives; (2) the output, efficiency, and trend indices have stable distribution and various spatial clustering patterns from 1998 to 2018; (3) high-level efficiency depends on high-level output, and low-level output relates to low-level efficiency; (4) Western Minnesota, including Northwest, West Central, and Southwest, degraded more severely than other zones in water provisioning services; (5) human activities impact water provisioning services in Minnesota more than climate changes. These findings can benefit policymakers by identifying the priorities for better protection, conservation, and restoration of lake ecosystems. Our multidimensional assessment framework can be adapted to evaluate ecosystem services in other regions.
Keywords	climate ; ecosystems ; freshwater ; humans ; lakes ; Minnesota
Language	English
Dates of publication	2021-0906
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2513863-7
ISSN	2072-4292
ISSN	2072-4292
DOI	10.3390/rs13173540
Database	NAL-Catalogue (AGRICOLA)

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Article: Research on Urban Carrying Capacity Based on Multisource Data Fusion—A Case Study of Shanghai

Cao, Xiangyang / Shi, Yishao / Zhou, Liangliang

Remote Sensing. 2021 July 08, v. 13, no. 14

2021

Abstract: Taking Shanghai as an example, this paper uses remote sensing (RS) and geographical information systems (GIS) technology to conduct multisource data fusion and a spatial pattern analysis of urban carrying capacity at the micro scale. The main conclusions ...

Abstract	Taking Shanghai as an example, this paper uses remote sensing (RS) and geographical information systems (GIS) technology to conduct multisource data fusion and a spatial pattern analysis of urban carrying capacity at the micro scale. The main conclusions are as follows: (1) based on the “production, living and ecology” land functions framework and land use data, Shanghai is divided into seven types of urban spaces to reveal their heterogeneity and compatibility in terms of land use functions. (2) We propose an urban carrying capacity coupling model (UCCCM) based on multisource data. The model incorporates threshold and saturation effects, which improve its power to explain urban carrying capacity. (3) Using the exploratory spatial data analysis (ESDA) technique, this paper studies the spatial pattern of carrying capacity in different urban spaces of Shanghai. (4) We analyse the causes of the cold spots in each urban space and propose strategies to improve the urban carrying capacity according to local conditions.
Keywords	case studies ; cold ; land use ; models ; spatial data ; China
Language	English
Dates of publication	2021-0708
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2513863-7
ISSN	2072-4292
ISSN	2072-4292
DOI	10.3390/rs13142695
Database	NAL-Catalogue (AGRICOLA)

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Article: Business Circle Identification and Spatiotemporal Characteristics in the Main Urban Area of Yiwu City Based on POI and Night-Time Light Data

Zhou, Liangliang / Shi, Yishao / Zheng, Jianwen

Remote Sensing. 2021 Dec. 18, v. 13, no. 24

2021

Abstract: The activity of the urban night-time economy is one of the most important indicators reflecting the prosperity of an urban economy. The business circle is an important carrier of urban commercial activities and the core area of urban nightlife. This ... ...

Abstract	The activity of the urban night-time economy is one of the most important indicators reflecting the prosperity of an urban economy. The business circle is an important carrier of urban commercial activities and the core area of urban nightlife. This paper takes the main urban area of Yiwu city as the research object. Based on POI data and night-time light remote sensing data, two-factor mapping, kernel density analysis, DBSCAN clustering, and local contour tree methods are adopted to identify the business circle structure of the main urban area of Yiwu city and analyse the relationship between business circle characteristics and the night-time economy. The following conclusions can be drawn. (1) The spatial superimposition relationship between the night-time remote sensing data and points of interest (POI) data in the main urban area of Yiwu city is good, and the overall coupling results show obvious circle structure characteristics. (2) The spatial distribution of different business combinations has obvious regularity: comprehensive shopping business shows a multicentre distribution pattern and has a hierarchical feature. In contrast, professional food and beverage and leisure and entertainment businesses are close to urban residential areas, and different groups of people live in different places with their own characteristics. (3) From 2015 to 2019, the brightness value of each business circle showed a continuously increasing trend. In 2020, due to the impact of COVID-19, most of them declined. (4) Overall, the difference in business circle tiers reflects the difference in the level of night-time economic activities.
Keywords	COVID-19 infection ; beverages ; people ; trees ; urban areas
Language	English
Dates of publication	2021-1218
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2513863-7
ISSN	2072-4292
ISSN	2072-4292
DOI	10.3390/rs13245153
Database	NAL-Catalogue (AGRICOLA)

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Article: Implementation and Advancement of a Rural Residential Concentration Strategy in the Suburbs of Shanghai

Shi, Yishao / Ren, Haoran / Guo, Xiatong / Tao, Tianhui

Land. 2020 Oct. 01, v. 9, no. 10

2020

Abstract: Rural residential concentration was one of the important tasks of the “Three Concentrations” strategy implemented in the suburbs of Shanghai in the mid-1990s. The aims of this paper are to comprehensively evaluate the process, pattern and effects of ... ...

Abstract	Rural residential concentration was one of the important tasks of the “Three Concentrations” strategy implemented in the suburbs of Shanghai in the mid-1990s. The aims of this paper are to comprehensively evaluate the process, pattern and effects of residential concentration in the suburbs of Shanghai over the past 20 years, clarify the direction and focus of development, and propose suggestions for existing deficiencies. Based on remote sensing images and statistical data, the implementation and effects of the rural residential concentration strategy from 1990 to 2015 were analysed using landscape indexes and geospatial analysis. The results are as follows: (1) according to the changes in the landscape pattern and spatial structure, the trends in population concentration in the suburbs of Shanghai are obvious. (2) Before 1995, the trend of population diffusion was conspicuous. After 1995, the period of population diffusion gradually shifted to a period of population agglomeration. The rate of population concentration increased rapidly from 2000 to 2010 and then became moderate after 2010. (3) In 1990, most of the rural residential areas were distributed within 14–52 km of the city centre, the distribution of residential area in each ring was relatively uniform, and the overall distribution was scattered and uniform. By 2015, the rural population gradually converged in the inner suburbs, and the centralized distribution gradually changed to within 16–32 km of the city centre. (4) In 1990, most of the rural residential areas were located north-northwest, southeast, and southwest of the People’s Square. By 2015, the areas southwest and southeast of the People’s Square became the focus of rural residential distribution. These findings provide a useful reference for future rural planning and construction.
Keywords	landscapes ; remote sensing ; residential areas ; rural areas ; rural planning ; rural population ; suburban areas ; China
Language	English
Dates of publication	2020-1001
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2682955-1
ISSN	2073-445X
ISSN	2073-445X
DOI	10.3390/land9100367
Database	NAL-Catalogue (AGRICOLA)

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Article: Multidimensional Assessment of Food Provisioning Ecosystem Services Using Remote Sensing and Agricultural Statistics

Shi, Donghui / Shi, Yishao / Wu, Qiusheng / Fang, Ruibo

Remote Sensing. 2020 Dec. 03, v. 12, no. 23

2020

Abstract: With the increasing global population, human demands for natural resources continue to grow. There is a critical need for the sustainable use and development of natural resources. In this context, ecosystem services have attracted more and more attention, ...

Abstract	With the increasing global population, human demands for natural resources continue to grow. There is a critical need for the sustainable use and development of natural resources. In this context, ecosystem services have attracted more and more attention, and ecosystem services assessment has proven to be useful for guiding research, policy formulation, and management implementation. In this paper, we attempted to assess ecosystem services more comprehensively from various perspectives. We used food provisioning ecosystem services in Minnesota as a case study and proposed two new concepts for assessing ecosystem services: efficiency and trend. We designed a multidimensional assessment framework, analyzed the total output, efficiency, and trend temporally based on both area and space with Exploratory Spatial Data Analysis (ESDA). We also identified major influencing factors based on remote sensing images in Google Earth Engine and explored the quantitative influence on each assessment dimension. We found that: (1) Food provisioning ecosystem service in Minnesota has generally been improving from 1998 to 2018. (2) We identified food provisioning ecosystem services in Minnesota as superior zones, mixed zones, and inferior zones with a ‘sandwich geo-configuration’. (3) The total output tends to be stable while the efficiency is disturbed by some natural disasters. Simultaneously, the trend index has been improving with slight fluctuations. (4) Agricultural disaster financial support has a stronger impact on stabilizing the total output of food provisioning than the other two dimensions. (5) Soil moisture, diurnal temperature difference, and crop growth are the three main influencing aspects of food provisioning ecosystem services, and the order of the influential density is: the Perpendicular Drought Index (PDI), Normalized Difference Vegetation Index (NDVI), Rainfall (RF), Daytime Temperature (DT), and Diurnal Temperature Difference (DIF).
Keywords	Internet ; administrative management ; agricultural statistics ; area ; case studies ; data analysis ; density ; dimensions ; disasters ; drought ; ecosystem services ; funding ; humans ; issues and policy ; natural resources ; paper ; population ; rain ; remote sensing ; research ; soil water ; spatial data ; temperature ; vegetation index ; Minnesota
Language	English
Dates of publication	2020-1203
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
Note	NAL-light
ZDB-ID	2513863-7
ISSN	2072-4292
ISSN	2072-4292
DOI	10.3390/rs12233955
Database	NAL-Catalogue (AGRICOLA)

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Article: Identification of ecosystem services supply and demand areas and simulation of ecosystem service flows in Shanghai

Shi, Yishao / Shi, Donghui / Zhou, Liangliang / Fang, Ruibo

Ecological indicators. 2020 Aug., v. 115

2020

Abstract: In this paper, ecosystem service flow was defined as a dynamic process in which the supply of ecosystem services in a certain region compensates for the demand in other regions with the remaining ecosystem services after meeting its own demand. This ... ...

Abstract	In this paper, ecosystem service flow was defined as a dynamic process in which the supply of ecosystem services in a certain region compensates for the demand in other regions with the remaining ecosystem services after meeting its own demand. This process follows the principle of minimum distance. We selected four typical ecosystem services: food supply (supply services), carbon absorption and oxygen release (regulation services), leisure and entertainment (cultural services) and biological habitat preservation (support services). According to the characteristics of the various ecological services, we adopted different methods and indicators to quantitatively evaluate the supply and demand situation and to identify the supply and demand areas of ecosystem services at the level of towns and streets. The Exploratory Spatial Data Analysis Method (ESDA) was used to reveal the spatial clustering models of the supplies and demands of various ecosystem services. A linear programming model was used to simulate the flow direction and flow rate of ecosystem service flow. The results showed the following: (1) All ecosystem services in Shanghai were in short supply and depended heavily on the supply of ecological services outside the city. (2) The supply of various ecosystem services presented the spatial characteristic of “central city - inner suburbs - outer suburbs” corresponding to “low-value clustering - discrete distribution - high-value clustering”. (3) The ecosystem services transferred to compensate Shanghai formed flow of the ecosystem service from the outer suburbs to the central urban area, which were dominated by carbon sequestration and oxygen release and the preservation of biological habitats. (4) Within the scope of Shanghai, the priority areas for ecological space conservation, restoration and expansion should be the central city and the inner suburbs, not just the outer suburbs.
Keywords	absorption ; carbon ; carbon sequestration ; ecosystem services ; ecosystems ; food availability ; habitat conservation ; models ; oxygen ; spatial data ; supply balance ; urban areas ; China
Language	English
Dates of publication	2020-08
Publishing place	Elsevier Ltd
Document type	Article
Note	NAL-AP-2-clean
ZDB-ID	2036774-0
ISSN	1872-7034 ; 1470-160X
ISSN (online)	1872-7034
ISSN	1470-160X
DOI	10.1016/j.ecolind.2020.106418
Database	NAL-Catalogue (AGRICOLA)

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Article: Evaluation of Land Intensive Use in Shanghai Pilot Free Trade Zone

Zhou, Liangliang / Cao, Xiangyang / Shi, Yishao

Land. 2019 May 31, v. 8, no. 6

2019

Abstract: Free trade zones represent an important system innovation space to realize economic agglomeration advantages with high-level openings. However, its evaluation of land intensive use has not received enough attention. The goal of this paper is to build a ... ...

Abstract	Free trade zones represent an important system innovation space to realize economic agglomeration advantages with high-level openings. However, its evaluation of land intensive use has not received enough attention. The goal of this paper is to build a land use performance evaluation index system in line with the development trend of industrial economy and the characteristics of mixed land use in the free trade zones. An evaluation index system is constructed based on the three factors of land use status, land use efficiency and pilot free trade zone influence. Using the Delphi method and the entropy method, an empirical evaluation of the intensive land use level in the Shanghai Pilot Free Trade Zone is conducted. The results show the following: (1) integrating new indicators such as the free trade zone influence, social and ecological benefits into the evaluation index system show a characteristic and innovative land use evaluation; (2) in terms of the level of intensive land use, the Waigaoqiao Free Trade Zone has the highest intensity, followed by the Yangshan Free Trade Port Zone, and the Pudong Airport Comprehensive Free Trade Zone has the lowest intensity; and (3) development time, degree of land use, differences in leading functions, industrial land structures, and the diversification of employment structures are important factors that influence the differences in the levels of intensive land use in the Shanghai Pilot Free Trade Zone. This study also expands the performance evaluation of industrial land to the performance evaluation of construction land and provides references for industrial transformation and urban renewal of the Shanghai Pilot Free Trade Zone.
Keywords	airports ; Delphi method ; employment ; entropy ; free trade ; industrial sites ; land use ; China
Language	English
Dates of publication	2019-0531
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2682955-1
ISSN	2073-445X
ISSN	2073-445X
DOI	10.3390/land8060087
Database	NAL-Catalogue (AGRICOLA)

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Article: Analysis of Factors Influencing the Urban Carrying Capacity of the Shanghai Metropolis Based on a Multiscale Geographically Weighted Regression (MGWR) Model

Cao, Xiangyang / Shi, Yishao / Zhou, Liangliang / Tao, Tianhui / Yang, Qianqian

Land. 2021 May 30, v. 10, no. 6

2021

Abstract: With the rapid development of urban economy and the continuous expansion of urban scale, the limitations of urban carrying capacity begin to appear. For the sustainable development of the city, more and more scholars are paying attention to the research ... ...

Abstract	With the rapid development of urban economy and the continuous expansion of urban scale, the limitations of urban carrying capacity begin to appear. For the sustainable development of the city, more and more scholars are paying attention to the research onurban carrying capacity. Basedon the continuous research of the authors’ research group over the past ten years, this paper uses a multiscale geographically weighted regression model and method to explore the impact of geographical location, floor area ratio, public transportation, residents’ consumption level, the density of high-tech enterprises, and the ecological environment on the carrying capacity of the Shanghai metropolis. The results show that (1) the impact of geographical location on the bearing capacity decreases from downtown to the outer areas and from the northeastern area to the southwestern area of Shanghai. (2) On the whole, the elasticity of the average floor area ratio to the urban carrying capacity is 0.52%. In different regions, most of the central urban areas have exceeded the optimal average plot ratio. With an increase in the average plot ratio, the urban carrying capacity presents a downward trend. Other sample areas generally did not reach the average optimal plot ratio, especially the southwestern area of Shanghai. With an increase in the average plot ratio, the urban carrying capacity of this area improved significantly. (3) The elasticity of public transportation convenience to the urban carrying capacity is 0.23%; that is, the average increase in the urban carrying capacity is 0.23% for every 1% increase in public transportation convenience. The elasticity of residents’ consumption level is −0.18%; in other words, every 1% increase in residents’ consumption level will reduce the urban carrying capacity by 0.18% on average. The elasticity of the density of high-tech enterprises is 0.08%; hence, when the density of high-tech enterprises increases by 1%, the urban carrying capacity increases by 0.08% on average. Lastly, the elasticity of the eco-environmental status index is 0.17%; that is, every 1% increase in the eco-environmental status index increases the urban carrying capacity by 0.17% on average.
Keywords	land ; models ; public transportation ; regression analysis ; sustainable development ; China
Language	English
Dates of publication	2021-0530
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2682955-1
ISSN	2073-445X
ISSN	2073-445X
DOI	10.3390/land10060578
Database	NAL-Catalogue (AGRICOLA)

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Article: Reconsideration of the methodology for estimation of land population carrying capacity in Shanghai metropolis

Shi, Yishao / Shi, Shouzheng / Wang, Hefeng

Science of the total environment. 2019 Feb. 20, v. 652

2019

Abstract: How to estimate the urban land carrying capacity (ULCC)? Based on our previous research, this paper made improvements in two aspects: One is to subdivide land use types from four subspaces to seven subspaces (i.e. urban construction, industrial ... ...

Abstract	How to estimate the urban land carrying capacity (ULCC)? Based on our previous research, this paper made improvements in two aspects: One is to subdivide land use types from four subspaces to seven subspaces (i.e. urban construction, industrial development, agricultural production, rural living, green ecological, other ecological and other subspaces), so as to distinguish more detailed the urban functional and spatial heterogeneities; the other is to reconstructing evaluation index system and estimate both maximum and appropriate population carrying capacities. The results demonstrate as follows: 1 There is a significant difference between the population capacities in different types of subspaces. The urban construction and industrial development subspaces are the main carrier of population and economy. The agricultural production and rural living subspaces have low population capacities. The ecological protection and other subspaces have only a very low share of load. 2 The appropriate and maximum population capacities of Shanghai metropolis are estimated to be approximately 20–23 million persons and 27–30 million persons, respectively, in 2009. There were 22.1028 million permanent residents of Shanghai in 2009, approaching the limit of the appropriate population capacity but lower than the limit of the maximum population capacity. 3 The methodology for estimation of maximum and appropriate ULCC in this paper not only gives the quantitative range, but also can provide the basis for growth control of urban population.
Keywords	carrying capacity ; industrialization ; land use ; urban population ; China
Language	English
Dates of publication	2019-0220
Size	p. 367-381.
Publishing place	Elsevier B.V.
Document type	Article
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2018.10.210
Database	NAL-Catalogue (AGRICOLA)

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