基于空间聚类分析的松辽流域水资源利用风险评价

doi:10.11820/dlkxjz.2010.09.002

Abstract

Abstract:

With the socio-economic development, water demand is increasing, and the conllicts between water supply and water demand at regional scales become increasingly significant. Scientific evaluation on the risk that caused by the conllicts between supply and demand of water resources is essential to the elimination of the imbalance. This paper analyzes the utilization of water resources in the Songliao Basin based on the water quantity, water quality and socio-economic data in 1999-2006, and generates a risk evaluation index system of water resources utilization, which included 10 indicators. Three common factors including high water demand, high water supply and low-quality water were used in factor analysis. The three common factors were assessed with spatial clustering, and the risk distribution of water resources in the Songliao Basin was estimated. The research results show that the pattern of water resource utilization in the Songliao Basin is that high risks is in the center, with low risk around the basin. Nen River and Songhua River have high risks and Tumen River and Wusuli River have low risks.

Key words: factor analysis, risk assessment, Songliao Basin, spatialcluster, water resources utilization

ZHANG Xuexia, WU Peng, LIU Qiyong. Risk Assessment on Water Resource Utilization in the Songliao Basin by Spatial Cluster Analysis[J].PROGRESS IN GEOGRAPHY, 2010, 29(9): 1032-1040.

References

[1] 刘涛，邵东国，顾文权.基于层次分析法的供水风险综合评价模型.武汉大学学报:工学版，2006, 39(4): 25-28.

[2] 朱阿兴，裴韬，乔建平，等.基于专家知识的滑坡危险性模糊评估方法.地理科学进展，2006, 25(4): 1-12.

[3] 宋晓莉，余静，孙海传，等.模糊综合评价法在风险评估中的应用.微机计算机信息，2006, 22(12-3): 71-79.

[4] 潘兴瑶，夏军，李法虎，等.基于GIS的北方典型区水资源承载力研究:以北京市通州区为例.自然资源学报.2007, 22(4): 664-671.

[5] 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，200s, 36(8): 906-912.

[6] 韩宇平，阮本清.基于地理信息系统的水资源短缺风险评价.灌溉排水学报，2008, 27(2): 9-12.

[7] 胡庆和，施国庆，黄涛珍，等.非线性FCA模型在流域水资源冲突风险评价中的应用.水利水电科技进展.2007, 27(2): 6-9.

[8] 黄大鹏，刘闯，彭顺风.洪灾风险评价与区划研究进展.地理科学进展，2007, 26(4): 11-22.

[9] 黄明聪，解建仓，阮本清，等.基于支持向量机的水资源短缺风险评价模型及应用.水利学报，2007, 38(3): 255- 259.

[10] 李新运.城市空间数据挖掘方法与应用.济南:山东大学出版社，2005: 64-76.

[11] 李新延，李德仁.DBSCAN空间聚类算法及其在城市规划中的应用.测绘科学，200s, 30(3): 5l-53.

[12] 李新运，郑新奇，闰洪文.坐标与属性一体化的空间聚类方法研究.地理与地理信息科学.2004, 20(2): 38-40.

[13] 骆剑承，周成虎，梁怡，等.多尺度空间单元区域划分方法.地理学报，2002, 57(2): 167-173.

[14] 张燕文.基于空间聚类的区域经济差异分析方法.经济地理，2006, 26(4): 557-560.

[15] 衷平，沈珍瑶，杨志峰，等.石羊河流域水资源短缺风险敏感因子的确定.干旱区资源与环境，2005, 19 (2): 81-86.

[16] Tsai C F, Tsai CW，Wu H C, et aL. A Novel Data Clus-teeing Approach for Mining in Large Databases. The jour-naL of Systems and Software, 2004, 73(1): 133-145.

[17] 王远飞，何洪林.空间数据分析方法.北京:科学出版社，2007: 34-39.

Risk Assessment on Water Resource Utilization in the Songliao Basin by Spatial Cluster Analysis

PDF (PC)

Like

Knowledge

Cited

Abstract

Cite this article

share this article

References

Related Articles 15

Metrics

Comments

Recommended 0

[1]	NING Jiachen, WU Jidong, TANG Rumei, CHEN Xiaojuan, XU Yingjun. Multi-hazard risk assessment methods: A comparative analysis based on five authoritative reports [J]. PROGRESS IN GEOGRAPHY, 2023, 42(1): 197-208.
[2]	KONG Lingling, FENG Xianfeng, WU Shuang, LIU Zichuan, YAO Xuanchu. Spatiotemporal dynamics and driving factor analysis of ecological quality change in the Lhasa urban circle from 1994 to 2017 [J]. PROGRESS IN GEOGRAPHY, 2022, 41(3): 437-450.
[3]	HE Peiting, LIU Danyuan, LU Siyan, HE Xiaoyu, LI Hua, YANG Liu, LIN Jinyao. Influencing factors of waterlogging and waterlogging risks in Shenzhen City based on MAXENT [J]. PROGRESS IN GEOGRAPHY, 2022, 41(10): 1868-1881.
[4]	JIAO Qingyu, CHEN Xinfeng, ZHENG Zhigang, BAI Yiqin, LIU Yansi, ZHANG Zhengjuan, SUN Longni. Dynamic path planning of unmanned aerial vehicle based on crowd density prediction [J]. PROGRESS IN GEOGRAPHY, 2021, 40(9): 1516-1527.
[5]	JIANG Li, YU Jia, WEN Jiahong, TANG Jin, QI Manfei, WANG Luyang, ZHANG Min. Risk assessment of extreme flood in the north bank of the Hangzhou Bay under land use change scenarios [J]. PROGRESS IN GEOGRAPHY, 2021, 40(8): 1355-1370.
[6]	WANG Jun, TAN Jinkai. Understanding the climate change and disaster risks in coastal areas of China to develop coping strategies [J]. PROGRESS IN GEOGRAPHY, 2021, 40(5): 870-882.
[7]	MA Heng, ZHANG Gangfeng, SHI Peijun. Advances and prospects of livestock snow disaster mechanism research and risk assessment [J]. PROGRESS IN GEOGRAPHY, 2021, 40(12): 2116-2129.
[8]	CAO Zhihong, HAO Jinmin, XING Hongping. Spatial-temporal change of Chinese resident food consumption carbon emissions and its driving mechanism [J]. PROGRESS IN GEOGRAPHY, 2020, 39(1): 91-99.
[9]	Hui WANG, Changchun SONG. Regional ecological risk assessment of wetlands in the Sanjiang Plain [J]. PROGRESS IN GEOGRAPHY, 2019, 38(6): 872-882.
[10]	Jiayi FANG, Peijun SHI. A review of coastal flood risk research under global climate change [J]. PROGRESS IN GEOGRAPHY, 2019, 38(5): 625-636.
[11]	Hui ZHANG, Cheng LI, Jiong CHENG, Zhifeng WU, Yanyan WU. A review of urban flood risk assessment based on the framework of hazard-exposure-vulnerability [J]. PROGRESS IN GEOGRAPHY, 2019, 38(2): 175-190.
[12]	Ning ZHANG, Dawei WANG. Drug-related crime risk assessment and predictive policing based on risk terrain modeling [J]. PROGRESS IN GEOGRAPHY, 2018, 37(8): 1131-1139.
[13]	Hui MENG, Chunyan LI, Ruolin ZHANG, Yamin LI. Risk assessment of geological hazards for counties and districts of the Beijing-Tianjin-Hebei region [J]. PROGRESS IN GEOGRAPHY, 2017, 36(3): 327-334.
[14]	Haibo HU. Research progress of surging urban flood risks [J]. PROGRESS IN GEOGRAPHY, 2016, 35(9): 1075-1086.
[15]	Peng CUI, Qiang ZOU. Theory and method of risk assessment and risk management of debris flows and flash floods [J]. PROGRESS IN GEOGRAPHY, 2016, 35(2): 137-147.