Urban growth and environmental impacts in Jing-Jin-Ji, the Yangtze, River Delta and the Pearl River Delta

Haas, Jan; Ban, Yifang

doi:10.1016/j.jag.2013.12.012

Cited by 209 publications

(137 citation statements)

References 63 publications

Supporting

Mentioning

130

Contrasting

Unclassified

Order By: Relevance

“…As reported in many previous studies, spatiotemporal urban land cover change is a serious concern both in megacities, such as Beijing [8,9], Shanghai [10][11][12], Hangzhou [13,14], and Guangzhou [15,16], and in developed coastal urban agglomerations, especially the three largest urban agglomerations, i.e., the Yangtze River Delta (YRD) [17,18], the Pearl River Delta (PRD) [19,20] and the Jing-Jin-Ji (JJJ) [21][22][23]. However, urban expansion in less developed cities and urban agglomerations has received little attention even though rapid urbanization has also occurred in these areas.…”

Section: Introductionmentioning

confidence: 92%

“…Urbanization of the JJJ, YRD and PRD has benefited from their geographic proximity to the coast areas of China where most industries and commercial centers are located [2,31,64]. These three urban agglomerations can be regarded as the most important centers of Chinese trade, commerce, manufacture and industry [21]. Additionally, the three most developed cities (Beijing, Shanghai, and Shenzhen) of China are located in the JJJ, YRD and PRD, respectively, which have promoted the development of the other cities nearby.…”

Section: Urban Expansion In the Myrb Urban Agglomeration Compared Witmentioning

confidence: 99%

“…In addition, most of the population of China dwell at the east of China, which also accelerates the expansion of urban land in these regions. The GDP of JJJ represented 43% of the national GDP in 2010 [21], the GDP per capita of the YRD was 3.92 times the national average level in 2005 [17], and the PRD accounts for 10% of China's GDP and over 80% of Guangdong's GDP, which shows highly concentration of economy activity [65]. However, the MYRB urban agglomeration, as shown in Table 4, consists of many less developed cities; these cities actually had smaller GDP than the above three urban agglomerations.…”

Section: Urban Expansion In the Myrb Urban Agglomeration Compared Witmentioning

confidence: 99%

See 2 more Smart Citations

Satellite Monitoring of Urban Land Change in the Middle Yangtze River Basin Urban Agglomeration, China between 2000 and 2016

Liu

Chen

2017

Remote Sensing

View full text Add to dashboard Cite

Detailed studies on the spatiotemporal patterns of urban agglomeration in the Middle Yangtze River Basin (MYRB) are rare. This paper analyzed the spatiotemporal patterns of urbanization in the MYRB using multi-temporal remote sensing data circa 2000, 2008 and 2016 integrated with geographic information system (GIS) techniques and landscape analysis approaches. A multi-level analysis of the rate and intensity, type as well as the landscape changes of urban expansion at regional, prefectural and inner-city levels was performed. Results show that the MYRB experienced rapid urban expansion with an annual expansion rate of 3.199%, especially in the Chang-Zhu-Tan and Poyang Lake metropolitan areas. The small and medium cities presented faster urban expansion than the larger cities with annual growth rates three times the average level. Urban expansion within the three capital cities was further analyzed in detail. It is found that outlying expansion and edge-expansion were the dominant growth patterns at all the three levels. Although urbanization in the MYRB has a remarkable increase in the past sixteen years, its annual growth rate of urban land expansion has fallen behind the three other large urban agglomerations in China as a result. Finally, the spatial evolution of the socioeconomic structure of the MYRB was further explored. It indicated that urban land was distributed mainly along the "northwest-southeast" direction and that the economic spatial interactions among cities showed a pattern of "multi-polarization and fragmentation", which illustrates the weak radiative driving forces of the central cities. The MYRB urban agglomeration faces a great challenge to manage trades-offs between narrowing the intra-regional disparity and maintaining synergetic development among cities.

show abstract

Section: Introductionmentioning

confidence: 92%

Section: Urban Expansion In the Myrb Urban Agglomeration Compared Witmentioning

confidence: 99%

Section: Urban Expansion In the Myrb Urban Agglomeration Compared Witmentioning

confidence: 99%

See 1 more Smart Citation

Satellite Monitoring of Urban Land Change in the Middle Yangtze River Basin Urban Agglomeration, China between 2000 and 2016

Liu

Chen

2017

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…Local urban landscape patterns using landscape metrics were investigated by same authors for evaluating landscape indices measured along the two transects (W-E and SW-NE directions) converging in the core urban area of the Avellino City. Haas and Ban (2014) evaluated urbanization and associated environmental impacts in China's three largest and most important urban agglomerations: Jing-Jin-Ji, the Yangtze River Delta and the Pearl River Delta. They determined urban indices for quantifying urban expansion based of classified Landsat and HJ-1A/B images.…”

Section: Related Workmentioning

confidence: 99%

“…Therefore, monitoring spatio-temporal urban growth patterns is paramount for supporting controlled urban development and satellite based data are potential for such kind of monitoring. A growing body of literature found the combination of spatio-temporal satellite data and landscape metrics (LM) worthwhile in urban land cover change analyses and environmental impact assessment (Aguilera et al, 2011;Furberg & Ban, 2010Haas & Ban, 2014;Herold et al, 2005;Herold et al, 2003;Huang et al, 2007;Kuffer & Barrosb, 2011;Liu & Yang, 2015;Seto & Fragkias, 2005). However, few case studies deriving landscape indices based on satellite data exist for Sub-Saharan African cities, giving impetus for the proposed study.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Analysis of Urban Land Cover Changes in Kigali, Rwanda Using Multitemporal Landsat Data and Landscape Metrics

Mugiraneza

Haas

Ban

2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

Mapping urbanization and ensuing environmental impacts using satellite data combined with landscape metrics has become a hot research topic. The objectives of the study are to analyze the spatio-temporal evolution of urbanization patterns of Kigali, Rwanda over the last three decades (from 1984 to 2015) using multitemporal Landsat data and to assess the associated environmental impact using landscape metrics. Landsat images, Normalized Difference Vegetation Index (NDVI), Grey Level Co-occurrence Matrix (GLCM) variance texture and digital elevation model (DEM) data were classified using a support vector machine (SVM). Eight landscape indices were derived from classified images for urbanization environment impact assessment. Seven land cover classes were derived with an overall accuracy exceeding 88% with Kappa Coefficients around 0.8. As most prominent changes, cropland was reduced considerably in favour of built-up areas that increased from 2,349 ha to 11,579 ha between 1984 and 2015. During those 31 years, the increased number of patches in most land cover classes illustrated landscape fragmentation, especially for forest. The landscape configuration indices demonstrate that in general the land cover pattern remained stable for cropland but it was highly changed in built-up areas. Satellite-based analysis and quantification of urbanization and its effects using landscape metrics are found to be interesting for grassroots and provide a cost-effective method for urban information production. This information can be used for e.g. potential design and implementation of early warning systems that cater for urbanization effects.

show abstract

China's wetlands loss to urban expansion

et al. 2018

View full text Add to dashboard Cite

Humans benefit from multiple ecosystem services of wetlands, but massive wetland loss has occurred worldwide due to rapid urbanization. To assess the problem, it is necessary to quantify the spatial extent of urbanization‐induced wetland loss. Here, we investigated the amount and pattern of wetland loss in China due to urbanization from 1990 to 2010, based on the China National Land Cover Database (ChinaCover). Our results show that, during these 20 years, China lost 2,883 km2 of wetlands to urban expansion, of which about 2,394 km2 took place in the eastern regions (Northeast China, North China, Southeast China, and South China). The rate of urbanization‐induced wetland loss was 2.8 times higher between 2000 and 2010 (213 km2 year−1) than between 1990 and 2000 (75 km2 yr−1). Of all wetland categories, reservoirs/ponds and marshes suffered the most severe losses. Most of the wetland loss was due to the expansion of urban built‐up areas rather than industrial or transportation lands. Four hotspots of urbanization‐induced wetland loss in China were identified: the Beijing–Tianjin metropolitan region, the Yangtze River Delta, the Jianghan Plain, and the Pearl River Delta. Urbanization and industrialization continue to unfold in China for the next few decades, and the rapid expansion of small‐ and middle‐sized cities and urban traffic networks is expected to encroach on more wetlands. Although great efforts have been made towards wetland conservation in recent years, China must prevent more wetlands from being wiped out by urbanization if the country is to ahieve its sustainable development goals.

show abstract

Urban growth and environmental impacts in Jing-Jin-Ji, the Yangtze, River Delta and the Pearl River Delta

Cited by 209 publications

References 63 publications

Satellite Monitoring of Urban Land Change in the Middle Yangtze River Basin Urban Agglomeration, China between 2000 and 2016

Satellite Monitoring of Urban Land Change in the Middle Yangtze River Basin Urban Agglomeration, China between 2000 and 2016

Spatiotemporal Analysis of Urban Land Cover Changes in Kigali, Rwanda Using Multitemporal Landsat Data and Landscape Metrics

China's wetlands loss to urban expansion

Contact Info

Product

Resources

About