Regional aquatic ecological security assessment in Jinan, China

Authors

  • Qian Hong State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
  • Qingbin Meng State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
  • Pei Wang State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
  • Hongyuan Wang State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
  • Ruimin Liu State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China

Keywords:

analytic hierarchy process, index system

Abstract

Regional aquatic ecological security is an important indicator that presents the aquatic ecological state and can guide the aquatic environmental management. Here, an index system for the regional aquatic ecological security assessment was established based on the Pressure-State-Response Model and analytical hierarchy process. The system was applied in the city of Jinan in eastern China. The results indicated that the state of the aquatic ecological security is best in Changqing District which has relatively high vegetation coverage, a well-conserved ecological condition and a relatively smaller population density than other districts. Following were Lixia, Shizhong, Huaiyin, and Licheng Districts. The state of the aquatic ecological security is the poorest in Tianqiao District, mainly due to its over-exploitation of groundwater, declining landscape diversity and lower scientific and technical investment. The driving force test also demonstrated that economic development and population size are the dominant impact factors for the variation of aquatic ecological security. Environmental protection investment should be paid more attention as an important measure to improve the aquatic ecological security in Jinan. It was demonstrated that the index system can be effectively applied in an aquatic ecological security assessment to identify the primary impact factors that support decision-making on water resources management.

References

Barnhouse, L. W. 1992. The role of models in ecological risk assessment. Environ. Toxicol. Chem., 11: 1755–1760.

Chaves, P. and Kojiri, T. 2007. Deriving reservoir operational strategies considering water quantity and quality objectives by stochastic fuzzy neural networks. Adv. Water Resour., 30: 1329–1341.

Comer, G. H. and Zimmermann, R. C. 1968. Low-flow and basin characteristics of two streams in Northern Vermont. J. Hydrol., 7: 98–108.

Cui, B. S. and Yang, Z. F. 2002. Establishing an indicator system for ecosystem health evaluation on wetlands I: A theoretical framework. Acta Ecol. Sinica., 22(7): 1005–1011.

Ezeonu, I. C. and Ezeonu, F. C. 2000. The environment and global security. The Environmentalist, 20: 41–48.

Hou, P., Beeton, R. J. S., Carter, R. W., Dong, X. G. and Li, X. 2007. Response to environmental flows in the lower Tarim River, Xinjiang, China: Ground water. J. Environ. Manage., 83: 371–382.

Jinan Statistics Bureau. 2006a. Water Resources Statistical Yearbook 2005 in Jinan, Jinan, China: Jinan Statistics Bureau.

Jinan Statistics Bureau. 2006b. Jinan Statistical Yearbook 2005, Beijing, China: China Statistical Press.

Koomey, J. G. and Webber, C. A. 2001. Addressing energy-related challenges for the US buildings sector: results from the clean energy futures study. Energy Policy., 29: 1209–1221.

Kong, F. and Nakagoshi, N. 2006. Spatial-temporal gradient analysis of urban green spaces in Jinan, China. Landsc. Urban Plan., 78(3): 147–164.

Ladson, A. R. and Moore, I. D. 1999. Soil water prediction on the Konza Prairie by microwave remote sensing and topographic attributes. J. Hydrol., 138: 385–407.

Millennium Ecosystem Assessment. 2005. Ecosystems and human well-being: Synthesis, Washington, D. C., USA: Island Press.

OECD. 1993. Core set of indicators for environmental performance reviews: a synthesis report by the group on the state of the environment Paris, France

OECD. 1999. Using the pressure–state–response model to develop indicators of sustainability: OECD framework for environmental indicators, OECD Environmental Indicators.

Rodriguez-Iturbe, I. 2000. Ecohydrology: A hydrologic perspective of climate-soil-vegetation dynamics. Water Resour. Res., 36: 3–9.

Sheail, J. 1997. The institutional development of river management in Yorkshire. Sci. Total Environ., : 194–195. 225–234.

Tran, L. T., Knight, C. G., O'Nell, R. V. and Smith, E. R. 2002. Fuzzy decision analysis for integrated environmental vulnerability assessment of the Mid-Atlantic region. Environ. Manage., 29(6): 845–859.

Wang, Z. H., Wang, K. L. and Xu, L. F. 2003. The assessment indicators of wetland ecosystem health. Terr. Nat. Resour. Stud., 4: 63–64.

Yang, Z. F. and Zhang, Y. 2003. Comparison of methods for ecological and environmental flow in river channels. J. Hydrod., 18: 294–301.

Zhang, C. C., Shao, J. L. and Li, C. J. 2003. Eco-environmental effects on groundwater and its eco-environmental index. Hydrog. Eng. Geol., 3: 1005–1011.

Zhang, J. and Yu, S. J. 2005. Comprehensive assessment of ecological security for medium-small reservoir catchment. Sichuan Environ., 24: 115–118.

Zhao, S. D. and Zhang, Y. M. 2006. Ecosystems and human well-being: The achievements, contributions and prospects of the millennium ecosystem assessment. Adv. Earth Sci., 21(9): 895–902.

Published

2010-08-31

Issue

Section

Research article