Spatial–temporal evolution of the distribution pattern of river systems in the plain river network region of the Taihu Basin, China
Introduction
River systems are important natural heritage sites. The formation and development of river systems is influenced by many natural factors, such as geology, topography, soil, hydrology, climate, and vegetation. Moreover, river systems are usually altered to meet the needs of people in water, energy, transportation, recreation, storage and discharge (Costanza et al., 1997, Nilsson et al., 2005, Doledec and Statzner, 2008, Jia and Chen, 2013). The influences of urbanization on river systems have been widely recognized as the most significant among all human activities. Approximately 60% of river systems have been changed profoundly because of urbanization (Sear and Newson, 2003). These changes have strongly threatened the ecological integrity and ecosystem functions of river systems (Dudgeon, 2006). Thus, an increasing need to investigate the impacts of urbanization on river systems for the sustainable planning, management and conservation of rapidly urbanized river basins has been realized (Karr, 1999, Norris and Thoms, 1999, James and Marcus, 2006, Junior et al., 2010, Pinto and Maheshwari, 2011).
The impacts of urbanization on river systems have been introduced and investigated as a broad and specific question since the mid-20th century (Lane, 1955, Strahler, 1956). Considerable progress has been achieved in rapidly urbanized regions around the world over the past 60 years (Chin, 2006). These studies documented that urbanization could change the quantity, morphology and structure of river systems. River lengths and water surface areas have generally deteriorated in rapidly urbanized regions. Main rivers have also been widened because of the increase in runoff volume caused by river channel dredging and impervious surface increase, while the tributaries have been narrowed gradually and even disappeared because of river channel sedimentation and urban occupation (Vanacker et al., 2005, Gregory, 2006). Moreover, spatial distribution of the urbanization impacts has been observed, and found that the impacts typically decrease from the city to suburbs (Yuan et al., 2006).
The variations of river systems can be considered as spatial–temporal processes. These procedures are controlled in spatial and time scale by many natural and social factors, particularly urbanization. Moreover, the spatial distribution of urbanization and its effects on river systems has the characteristic of agglomeration and dispersion. Previous studies have generally focused on the numeric characteristic of river system variation. These studies assumed the existence of mutual independence in spatial distribution (Yang et al., 2004, Xu et al., 2013). However, studies on the spatial association and spatial heterogeneity of the variations of river systems are lacking. Understanding the spatial–temporal distribution characteristic and the evolution tendency of river systems is necessary for sustainable river basin management. Exploratory spatial data analysis (ESDA) has been used successfully in the variation studies of economic patterns, ecological environments and social issues (Le Gallo and Ertur, 2003, Buttafuoco et al., 2005, Anselin et al., 2007, Ye and Wu, 2011, Rincón et al., 2013). However, the methodology of ESDA in the evolution of river systems research is still at the beginning. Moreover, the plain river network region of the Taihu Basin (PRNRTB) is one of the regions with the fastest rate of urbanization in China. Rapid urbanization has caused significant changes in river systems, such as water degradation, flood disaster and other ecological and environmental problems. Therefore, many major indicators are selected to describe the physical characteristic of river systems. ESDA and the gravity centre model are employed to explore the spatial–temporal evolution of the distribution pattern of river systems in PRNRTB. The aim of this study is to analyze the evolution characteristics and laws of the distribution pattern of river systems, to discuss the possible impacts of urbanization, and finally to provide scientific basis and decision-making references for integrated river basin management in PRNRTB.
Section snippets
Study area
PRNRTB is located in the centre of the Yangtze River Delta in eastern China and covers an area of 15,757 km2, 2 m–4 m above sea level (Fig. 1). PRNRTB is one of the most densely populated regions in China with approximately 3.47 million inhabitants and a population density of 834 individuals per km2. PRNRTB is also one of the most economically developed regions in China, i.e., PRNRTB had a local GDP of 3874.12 billion Yuan in 2013, approximately 7% of the GDP of China. However, the total area
Characteristic indicators of river systems
River systems can be characterized by their physical properties, including original descriptive indicators and complex integrated indicators. The original descriptive indicators of river systems, including river length, river number, river bifurcation, stream order and water surface area, have rarely been used directly in previous studies. The river complex integrated indicators were in the other hand have been widely used in recent decades, such as river density, river frequency, water surface
Global evolution of the distribution pattern of river systems
The Global Moran Index of characteristic indicators of river systems during the 1960s–2000s are calculated by the spatial statistics tools of the spatial autocorrelation (Moran's I) in ArcGIS 9.3. Moreover, the adjacency method is adopted to calculate the spatial weight matrix. Table 3 shows that the positive Moran's I values of characteristic indicators of river systems and indicates the clustered characteristics of the spatial distribution of river systems. Regions with higher (resp. lower)
Conclusions
In this paper, the spatial–temporal evolution of the distribution pattern of river systems in PRNRTB during the 1960s, 1980s, and 2000s was analysed. Moreover, the impacts of urbanization were further discussed. The following conclusions are gained:
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The global distribution pattern of river systems has partially clustered characteristics in PRNRTB over the past 50 years. The global distribution patterns of D0 and Dr were all statistically significant spatially clustered in three periods. In
Acknowledgements
This research work was supported by the National Natural Science Foundation of China under Grant 41371046, 41401035; and Commonweal and Specialized Program for Scientific Research, Ministry of Water Resources of China under Grant 201201072, 201301075; and the Natural Science Foundation of Jiangsu Province under Grant BK20131276.
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