区域尺度水资源短缺风险评估与决策体系以京津唐地区为例

doi:10.11820/dlkxjz.2010.09.003

Abstract

Abstract:

Water scarcity risk assessment is a research hotspot worldwide. Regional scale risk assessment is more complex than that at a city scale because of the internal differences. A water scarcity risk assessment and decision-making system as established at a regional level in this article, which constituted by four indexes, i.e. the demand satisfaction index, the demand reliability index, the rate of water resources utilization, and water-use efficiency. A case study in the Beijing-Tianjin-Tangshan region was conducted. The results show that the water scarcity risk level of Beijing, Tianjin, Chengde and Zhangjiakou is lower in 2020, better than the present situations. The risk level of Qinhuangdao is moderate, and that of Tangshan and Langfang is high. Saving water and unconventional water use should be wildely adopted in this region. Besides, water supply to Tangshan should be increased to reduce the water scarcity risk. In Langfeng, agricultural water demand should be decreased by reducing the multiple cropping indexes. This system can directly reflect the probability of water scarcity and the capacity to avoid risks. Reasonable water resource management decision -making can be made based on this study because the characteristics of regional water scarcity are clearly revealed by the four indexes.

Key words: Beijing-Tianjin-Tangshan region, risk assessment, risk solution, water scarcity

LI Jiuyi, LI Lijuan, LIU Yumei, LIANG Liqiao, LI Bin. Framework for Water Scarcity Assessment and Solution at Regional Scales: A Case Study in Beijing-Tianjin-Tangshan Region[J].PROGRESS IN GEOGRAPHY, 2010, 29(9): 1041-1048.

References

[1] WHO. Water Sanitation and Health. http://www.who.int/water_sanitation_health/hygiene/en/. 2003.

[2] Falkenmark M, Lundquist J, Widsttand C. Macro-scale water scarcity requires micro-scale approaches: aspects of vulnerability in semi-arid development. Natural Resources Forum, 1989, 13(4): 258-267.

[3] Ohlsson L, Appelgren B. Water and Social Resource Scarcity. Rome, Italy: FAO Issue Paper, 1998.

[4] Cosgrove WJ, Rijsberman F R. World Water Vision: Making Water Everybody's Business. London, UK: Earth- scan Publications, 2000.

[5] Sullivan C. Calculating a water poverty index. World De- velopment, 2002, 30(7): 1195-1211.

[6] Hashimoto T, Stedinger J R, Loucks D P. Reliability, re- siliency, and vulnerability criteria for water resource sys- tem performance evaluation. Water Resources Research, 1982, 18(1): 14-20.

[7] Jinno K，Xu Z X, Kawamura A, et al. Risk assessment of a water supply system during drought. Water Resources Development, 1995, 11(2): 185-204.

[8] Xu Z X, Jinno K, Kawamura A, et al. Performance risk analysis for Fukuoka water supply system. Water Re- sources Management, 1998, 12(1):13-30.

[9] Kawamura A, Merabtene T, Jinno K. Development of In- tegrated Decision Support System for the Water Supply System in Fukuoka, Japan//Water 99 Joint Congress. 25th Hydrology & Water Resources Symposium, 2nd Interna- tional Conference on Water Resources & Environment Research; Burton, ACT: Institution of Engineers, Australia, 1999: 341-347.

[10] Merabtene T, Kawamura A, Jinno K, et al. Risk assess- ment for optimal drought management of an integrated wa- tee resources system using a genetic algorithm. Hydrologi- cal Processes, 2002, 16(11): 2189-2208.

[11] Jones R N, Page C M, Hereon N, et al. Climate change and the risk to long-term water supply in the Murray- Darling Basin//Australian Water Association. Proceeding of 2001 A Water Odyssey, 2001.

[12] Jones R N, Page C M. Assessing the risk of Climate Change on the Water Resources of the Macquarie River Catchment//Ghassemi F, Whetton P, Little R, et al. Inte- grating Models for Natural Resources Management across Disciplines, issues and scales(Part 2). Modsim 2001 Inter- national Congress on Modelling and Simulation, Modelling and Simulation Society of Australia and New Zealand, Canberra, 2001: 673-678.

[13] Jones R N, Pittock A B. Climate change and water re- sources in an arid continent: Managing uncertainty and risk in Austtalial/ Beniston M. Climatic Change -Implica- dons for the Hydrological Cycle and for Water Manage- ment. Amsterdam, Netherlands: Kluwer Academic Pub- lishers, 2002: 465-501.

[14] Fowler H J, Kilsby C G, 0'Connell P E. Modeling the im- pacts of climatic change and variability on the reliability, resilience, and vulnerability of a water resource system. Water Resources Research, 2003, 39(8): 1222-1232.

[15] Jones R, Preston B, Brooke C, et al. Climate change and Australian water resources: First risk assessment and gap analysis. Canberra, Australian: Austtalian Greenhouse Of- fice and the National Water Commission, 2007.

[16] Iglesias A, Moneo M, Garrote L, et al. Drought and water scarcity: current and future vulnerability and risk//Garrido A，Llamas M R. Water policy in Spain, resources for the future. Washington D C, 2006.

[17] Iglesias A, Garrote L, Flores F, et al. Challenges to man- age the risk of water scarcity and climate change in the Mediterranean. Water Resources Management, 2007, 21 (5):775-788.

[18] 阮本清，韩宇平，王浩，等.水资源短缺风险的模糊综合评价.水利学报，2005, 36(8): 906-912.

[19] 韩宇平，阮本清.水资源短缺风险经济损失评估研究. 水利学报，2007, 38(10): 1253-1257.

[20] 韩宇平，许拯民.区域水资源短缺风险调控研究.河北工业大学学报，2007, 24(4): 81-84.

[21] 韩宇平，李志杰，赵庆民.区域水资源短缺风险决策研究.华北水利水电学院学报，2008, 29(1): 1-3.

[22] 韩宇平，阮本清，汪党献.区域水资源短缺的多口标风险决策模型研究.水利学报，2008, 39(6): 667-673.

[23] 马黎，汪党献.我国缺水风险分布状况及其对策.中国水利水电科学研究院学报，2008, 6(2): 131-135.

[24] 刘登伟.京津冀大都市]I水资源短缺风险评价.水利发展研究，2010, 10(1): 20-24.

[25] Draper A J, Jenkins MW，Kirby KW，et al. Economic- engineering optimization for California water management. Journal of Water Resources Planning and Management, 2003, 129(3): 155一164

[26] Newlin B D, Jenkins MW，Lund J R, et al. Southern Cal- ifornia water markets: Potential and limitations. Journal of Water Resources Planning and Management, 2002, 128(1): 21-32.

[27] Jenkins MW，Lund J R, Howitt R E, et al. Optimization of California's water system: Results and insights. Journal of Water Resources Planning and Management, 2004, 130(4): 127一136.

[28] Null S, Lund J R. Re-Assembling hetch hetchy: Water supply implications of removing 0'Shaughnessy Dam. Journal of the American Water Resources Association, 2006, 42(4): 395-408.

[29] Harou J J, Pulido-Velazquez M, Rosenberg D E, et al. Hydro -economic models: Concepts, design, applications, and future prospects. Journal of Hydrology, 2009, 375 (3): 627-643.

[30] Medellin-Azuara J, Mendoza-Espinosa L G, Lund J R, et al. Virtues of simple hydro -economic optimization: Baja California, Mexico. Environmental Management, 2009, 90 (11): 3470-3478.

[31] Gleick P H. Global Freshwater resources: Soft-path solu- dons for the 21st century. Science, 2003, 302: 1524- 1528.

[32] Martin-Carrasco F J, Garrote L. Drought-induced Water Scarcity in Water Resources Systems. Nato Science Series: IV: Earth and Environmental Sciences, 2007, 78(4): 301- 311.

[33] Alcamo J, Henrichs T, Rosch T. World water in 2025: global modeling and scenario analysis//Rijsberman F R. World Water Scenarios Analyses. London, UK: Earthscan Publications, 2000.

[34] 张士锋，贾绍凤.海河流域水量平衡与水资源安全问题研究.自然资源学报，2003, 18(6): 684-691.
[3s] 任宪韶，户作亮，曹寅自，等.海河流域水资源评价.北京:中国水利水电出版社，2007.

[36] 金凤君.华北平原城市用水问题研究.地理科学进展， 2000, 19(1): 17-24.

[37] 刘昌明，陈志恺.中国水资源现状评价和供需发展趋势分析.北京:中国水利水电出版社，2001.

[38] 河北省水利厅.河北省水资源评价，2004.

[39] 北京市南水北调工程建设委员会办公室.北京市南水北调配套工程总体规划.北京:中国水利水电出版社， 2008.

[40] 李九一.中国水资源短缺及其风险评价与管理对策研究.北京:中国科学院研究生院，2009.

Framework for Water Scarcity Assessment and Solution at Regional Scales: A Case Study in Beijing-Tianjin-Tangshan Region

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