基于情景模拟的上海土地利用变化预测及其水文效应

doi:10.31497/zrzyxb.20170858

摘要/Abstract

摘要： 论文基于2000、2003和2006年土地利用数据,借助Terrset CA-Markov模型模拟预测2030年上海市土地利用结构,采用SCS模型探究土地利用结构变化的水文效应。结果显示：1）Terrset CA-Markov模型的模拟精度为0.85,可用于模拟2030年上海土地利用格局。2）预测结果表明,2000—2030年间,工商业用地、居住用地与道路广场组成的城市不透水地面比重由2000年的26.54%激增至2030年的59.19%。3）上海不同区域的平均径流深度整体呈增加趋势,但也存在一定的时空差异性,而这种时空差异是由上海城市化过程中的土地利用转化造成的;2000—2030年间,上海中心城区不透水地面比重较高且变化较小,而郊区不透水地面面积大幅提升,导致郊区地表径流深度增幅大于中心城区。研究结果可为完善城市风险管理与城市规划提供参考。

关键词: CA-Markov模型, Kappa系数, SCS模型, 上海, 土地利用变化

Abstract: With the acceleration of urbanization process, waterlogging problems in urban area are becoming more and more serious due to climate change. In this context, it is very important to reduce disaster risk through urban planning. The pre-condition for urban planning is to simulate future land use and to analyze its hydrological effect. Taking Shanghai as a case study, this study predicted land use in 2030 by using Terrset CA-Markov model and analyzed hydrological response to land use change based on the land use data of Shanghai in 2000, 2003 and 2006. The results revealed that the simulation accuracy of CA-Markov model reached 0.85, which met the required simulation accuracy for the prediction of land use in 2030. The proportion of urban impermeable land, which consists of industrial and commercial land, residential land and road and square, increased from 26.54% in 2000 to 59.19% in 2030. Meanwhile, the proportion of non-construction land, which consists of arable land, garden, forestry and green space, decreased from 73.46% in 2000 to 40.81% in 2030. Moreover, the surface runoff depth showed an increasing trend from 2000 to 2030, but the spatial and temporal difference among districts in Shanghai was remarkable due to the land use change. Under the assumption of daily maximum precipitation at 200.5 mm, the surface runoff depth increased 3.86 mm during 2000-2006 and 9.66 mm during 2006-2030, respectively. Generally, the increase of surface runoff depth in suburb is more than that in central urban area in Shanghai, which results from high and stable proportion of impermeable land in central urban area and significantly increased proportion of impermeable land in suburb in Shanghai during 2000-2030. The study shows that the rapid increase of impermeable surface area increased the surface runoff depth, which could increase waterlogging risk in Shanghai. In addition, to reduce the exposure and vulnerability of urban system to rainstorm waterlogging, urban planning should focus on improving drainage system and optimizing the structure and layout of land use with the consideration of eco-environmental protection. These results provide important information for local government to improve urban risk management and urban planning.

Key words: CA-Markov model, Kappa coefficient, land use change, SCS model, Shanghai

中图分类号:

P343.9

权瑞松. 基于情景模拟的上海土地利用变化预测及其水文效应[J]. 自然资源学报, 2018, 33(9): 1552-1562.

QUAN Rui-song. Prediction of Land Use Change and Its Hydrological Effect in Shanghai Based on Scenario Simulation[J]. JOURNAL OF NATURAL RESOURCES, 2018, 33(9): 1552-1562.

参考文献

[1] 朱诚, 姜逢清, 吴立, 等. 对全球气候变化背景下长三角地区城镇化发展科学问题的思考[J]. 地理学报, 2017, 72(4): 633-645.
[ZHU C, JIANG F Q, WU L, et al.On the problems of urbanization in the Yangtze River Delta under the background of global change. Acta Geographica Sinica, 2017, 72(4): 633-645. ]
[2] 刘敏, 许世远, 侯立军, 等. 长江三角洲土地利用/覆被动态变化及其环境效益[J]. 资源科学, 2010, 32(8): 1533-1537.
[LIU M, XU S Y, HOU L J, et al.Dynamic variations and environmental effects of land use and land cover change in the Yangtze Delta Region. Resources Science, 2010, 32(8): 1533-1537. ]
[3] QUAN R S.Risk assessment of flood disaster in Shanghai based on spatial-temporal characteristics analysis from 251 to 2000[J]. Environmental Earth Sciences, 2014, 72(11): 4627-4638.
[4] QUAN R S.Rainstorm waterlogging risk assessment in central urban area of Shanghai based on multiple scenario simulation[J]. Natural Hazards, 2014, 73(3): 1569-1585.
[5] 权瑞松, 刘敏, 侯立军, 等. 土地利用动态变化对地表径流的影响——以上海浦东新区为例[J]. 灾害学, 2009, 24(1): 44-49.
[QUAN R S, LIU M, HOU L J, et al.Impact of land use dynamic change on surface runoff: A case study on Shanghai Pudong New District. Journal of Catastrophology, 2009, 24(1): 44-49. ]
[6] QUAN R S, LIU M, LU M, et al.Waterlogging risk assessment based on land use/cover change: A case study in Pudong New Area, Shanghai[J]. Environmental Earth Sciences, 2010, 61(6): 1113-1121.
[7] 丁文峰, 张平仓, 陈杰. 城市化过程中的水环境问题研究综述[J]. 长江科学院院报, 2006, 23(4): 21-24.
[DING W F, ZHANG P C, CHEN J.Review of water environment problem during process of urbanization. Journal of Yangtze River Scientific Research Institute, 2006, 23(4): 21-24. ]
[8] 权瑞松, 刘敏, 张丽佳, 等. 基于情景模拟的上海中心城区建筑暴雨内涝暴露性评价[J]. 地理科学, 2011, 31(2): 148-152.
[QUAN R S, LIU M, ZHANG L J, et al.Exposure assessment of rainstorm waterlogging on buildings in central urban area of Shanghai based on scenario simulation. Scientia Geographica Sinica, 2011, 31(2): 148-152. ]
[9] 程江, 杨凯, 刘兰岚, 等. 上海中心城区土地利用变化对区域降雨径流的影响研究[J]. 自然资源学报, 2010, 25(6): 914-925.
[CHENG J, YANG K, LIU L L, et al.Impact of 60 years land use change on rainfall-runoff in central Shanghai. Journal of Natural Resources, 2010, 25(6): 914-925. ]
[10] 刘兰岚. 上海市中心城区土地利用变化对径流的影响及其水环境效应研究 [D]. 上海: 华东师范大学, 2007.
[LIU L L.Impacts of Land Use Change on Runoff of Shanghai Central City and Relevant Environmental Effects. Shanghai: East China Normal University, 2007. ]
[11] 欧定华, 夏建国. 城市近郊区景观格局变化特征、潜力与模拟——以成都市龙泉驿区为例[J]. 地理研究, 2016, 35(3): 534-550.
[OU D H, XIA J G.Characteristics, potential and simulation of landscape pattern change in peri-urban areas: A case of Longquanyi District, Chengdu city. Geographical Research, 2016, 35(3): 534-550. ]
[12] YULIANTO F, PRASASTI I, PASARIBU J M, et al.The dynamics of land use/land cover change modeling and their implication for the flood damage assessment in the Tondano Watershed, North Sulawesi, Indonesia[J]. Modeling Earth Systems and Environment, 2016, 2(1), 47. doi: 10.1007/s40808-016-0100-3.
[13] 张俊平, 李净. 基于CA-Markov模型的甘州区土地利用变化预测分析[J]. 中国农学通报, 2017, 33(4): 105-110.
[ZHANG J P, LI J.Prediction and analysis of land use change based on CA-Markov model in Ganzhou District. Chinese Agricultural Science Bulletin, 2017, 33(4): 105-110. ]
[14] 陈学, 朱康文, 雷波. 基于CA-Markov模型的土地利用/覆被变化模拟[J]. 环境影响评价, 2016, 38(4): 61-65.
[CHEN X, ZHU K W, LEI B.Spatial and temporal variation characteristics of fractional vegetation coverage in Chongqing from 2000 to 2015. Environmental Impact Assessment, 2016, 38(4): 61-65. ]
[15] FEINSTEIN A R, CICCHETTI D V.High agreement but low Kappa: I. The problems of two paradoxes[J]. Journal of Clinical Epidemiology, 1990, 43(6): 543-549.
[16] CICCHETTI D V, FEINSTEIN A R.High agreement but low Kappa: II. Resolving the paradoxes[J]. Journal of Clinical Epidemiology, 1990, 43(6): 551-558.
[17] YIN J, YIN Z E, HU X M, et al.Multiple scenario analyses forecasting the confounding impacts of sea level rise and tides from storm induced coastal flooding in the city of Shanghai, China[J]. Environmental Earth Sciences, 2011, 63(2): 407-414.
[18] 方创琳. 改革开放30年来中国的城市化与城镇发展[J]. 经济地理, 2009, 29(1): 19-25.
[FANG C L.The urbanization and urban development in China after the reform and opening-up. Economic Geography, 2009, 29(1): 19-25. ]
[19] 刘敏, 王军, 殷杰, 等. 上海城市安全与综合防灾系统研究[J]. 上海城市规划, 2016(1): 1-8.
[LIU M, WANG J, YIN J, et al.Study on the urban safety and comprehensive disaster prevention in Shanghai. Shanghai Urban Planning, 2016(1): 1-8. ]
[20] CHEN X S, WANG W B, LIANG H, et al.Dynamics of ruderal species diversity under the rapid urbanization over the past half century in Harbin, Northeast China[J]. Urban Ecosystems, 2014, 17(2): 455-472.