Urbanization in Western China

Maimaitiming, Anwaer; Zhang, Xiaolei; Cao, Huhua

doi:10.1080/10042857.2013.777197

Cited by 24 publications

(18 citation statements)

References 10 publications

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“…There are also large differences in the urban population distributions of different parts of China. In 2008, more than half the cities and urban population of China were distributed on the east coast, whereas 19% of cities and 17.7% the urban population were distributed in the west [62]. These different urbanization densities and patterns provide ideal experimental regions for evaluating the applicability of the proposed methods.…”

Section: Study Area and Datamentioning

confidence: 99%

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Regional Urban Extent Extraction Using Multi-Sensor Data and One-Class Classification

Zhang

Cai

2015

Remote Sensing

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Stable night-time light data from the Defense Meteorological Satellite Program (DMSP) Operational Line-scan System (OLS) provide a unique proxy for anthropogenic development. This paper presents a regional urban extent extraction method using a one-class classifier and combinations of DMSP/OLS stable night-time light (NTL) data, MODIS normalized difference vegetation index (NDVI) data, and land surface temperature (LST) data. We first analyzed how well MODIS NDVI and LST data quantify the properties of urban areas. Considering that urban area is the only class of interest, we applied the one-class support vector machine (OCSVM) to classify different combinations of the three datasets. We evaluated the effectiveness of the proposed method and compared with the locally optimized threshold method in regional urban extent mapping in China. The experimental results demonstrate that DMSP/OLS NTL data, MODIS NDVI and LST data provide different but complementary information sources to quantify the urban extent at a regional scale. The results also indicate that the OCSVM classification of the combination of all three datasets generally outperformed the locally optimized threshold method. The proposed method effectively and efficiently extracted the urban extent at a regional scale, and is applicable to other study areas.

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Section: Study Area and Datamentioning

confidence: 99%

“…Urbanization levels in China vary greatly across the country [61,62]. The eastern coastal region experienced significantly more urbanization, followed by the central region, and finally by the west.…”

Section: Study Area and Datamentioning

confidence: 99%

Regional Urban Extent Extraction Using Multi-Sensor Data and One-Class Classification

Zhang

Cai

2015

Remote Sensing

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“…China is a country with a rapid economic development and a fast growing population [13][14][15][16][17][18][19]. For example, the number of cities in China more than quadrupled and the urban population increased by over 20 times between the 1950s and 2008 [17].…”

Section: Introductionmentioning

confidence: 99%

Modelling nitrogen and phosphorus export by the Pearl River in China 1970–2050

Strokal

Kroeze

et al. 2014

WIT Transactions on Ecology and the Environment

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China is a country with a rapid economic development and fast population growth. This is causing environmental pollution. Eutrophication has been a problem in the coastal waters of southern China since the 1970s. This is a result of increased nitrogen (N) and phosphorus (P) inputs from rivers such as the Pearl River (Zhujiang). The Pearl River is the third largest river in China. It serves as an important water supplier for irrigation and human water consumption. Human activities on land, however, have increased the nutrient content of the Pearl River water considerably. The objective of our study is to quantify the relative contribution of the anthropogenic and non-anthropogenic sources of dissolved inorganic N and P export by the Pearl River to coastal seas. We describe a method to model dissolved N and P export at the sub-basin scale. Results indicate that in 2000 about 90% of the dissolved N and P inputs exported by the Pearl River to the coastal waters were from anthropogenic sources (e.g. agriculture, sewage, and biological N 2 -fixation by agricultural crops). In the future the relative share of anthropogenic sources may increase. We show that nutrient inputs from land to rivers vary among sub-basins. We conclude that modelling and scenario analyses may support the formulation of effective strategies to reduce N and P export by the Pearl River, and thus to effective management of coastal eutrophication in the coming decades.

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“…Existing studies acknowledge the adverse-effects of animal production and urbanization on aquatic pollution, but most of the time at the national scale (Bai et al 2015;Bai et al 2014;Hou et al 2013;Ju et al 2005;Liu & Diamond 2005;Ma et al 2010;Ma et al 2013b;Maimaitiming et al 2013;MEP et al 2010;Schneider 2011;Steinfeld et al 2006). Provincial analyses exist for different years using the NUFER model (NUtrient flows in Food chains, Environment and Resources use) (e.g., Ma et al 2012).…”

Section: Introductionmentioning

confidence: 99%

“…For instance, coastal eutrophication problems with harmful algal blooms have been observed since the 1970s in Chinese seas (Diaz & Rosenberg 2008;Liu & Qiu 2007;Selman et al 2008;). This is a result of increased nitrogen (N) and phosphorus (P) inputs to rivers from human activities on the land such as agriculture, industry, and sewage (Aregay & Minjuan 2012;Ermolieva et al 2009;Maimaitiming et al 2013;Qu & Kroeze 2010;Qu & Kroeze 2012;Vitousek et al 2009). …”

Section: Introductionmentioning

confidence: 99%

River export of nutrients to the coastal waters of China: the MARINA model to assess sources, effects and solutions

Strokal¹

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Urbanization in Western China

Cited by 24 publications

References 10 publications

Regional Urban Extent Extraction Using Multi-Sensor Data and One-Class Classification

Regional Urban Extent Extraction Using Multi-Sensor Data and One-Class Classification

Modelling nitrogen and phosphorus export by the Pearl River in China 1970–2050

River export of nutrients to the coastal waters of China: the MARINA model to assess sources, effects and solutions

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