سابِق|تال

Coupling relationship between spatial-temporal variation of lakes and waterlogging in the coastal city Tianjin

  • role： First author第一作者
  • Affiliation：

    School of Geology and Geomatics, Tianjin Chengjian University, Tianjin 300384, China

  • Email：zjl1992_127@163.com
  • Introduction：臧金龙，1992年生，男，硕士研究生，研究方向为资源与环境遥感监测。E-mail:zjl1992_127@163.com
ZANG Jinlong,  
  • role： Corresponding author通信作者
  • Affiliation：

    School of Geology and Geomatics, Tianjin Chengjian University, Tianjin 300384, China

  • Email：gqiaozhen@tcu.edu.cn
  • Introduction：国巧真，1979年生，女，副教授，研究方向为资源与环境遥感监测。E-mail:gqiaozhen@tcu.edu.cn
GUO Qiaozhen*,  
  • Affiliation：

    School of Geology and Geomatics, Tianjin Chengjian University, Tianjin 300384, China

SANG Xiao,  
  • Affiliation：

    School of Geology and Geomatics, Tianjin Chengjian University, Tianjin 300384, China

XIE Tongyao,  
  • Affiliation：

    School of Geology and Geomatics, Tianjin Chengjian University, Tianjin 300384, China

HE Chengwei

ملخص

In recent years, the problem of urban waterlogging has become prominent, which has brought many inconveniences towards social production and human life. Taking Tianjin as an example, the coupling on the spatial evolution of lakes and waterlogging was studied.Based on the Landsat series data, multi-ban water index was used to extract the lake from 1984 to 2017 year by year. Combined with the data on waterlogging, a comprehensive evaluation index system on lake evolution and waterlogging systems was proposed. Meanwhile, a coupling degree model between lake evolution and waterlogging was established.Results indicated that the lake area in Tianjin volatility increased from 1984 to 2005 and intermittently decreased from 2005 to 2017. From 2005 to 2017, the lake area in Dongli District decreased the fastest and the greatest. The proportion of lakes in most districts also decreased significantly. The waterlogging areas of Tianjin were mainly distributed in the six districts of the city centre and nearby districts. Areas without lakes were more likely to produce waterlogging than areas with lakes; areas with few lakes were more likely to produce waterlogging than areas with many lakes; the smaller the proportion of lakes, the greater the density of waterlogging points. The lake group moved from the centre towards the whole Tianjin, and the opposite direction of the lake’s centroid movement was likely to produce waterlogging.Lake areas in Tianjin have decreased in recent years, and the reduction is mainly due to human interference. The decrease of lakes is one of the important causes of waterlogging. Therefore, a primary coupling and coordination relationship exists between lake evolution and waterlogging.

مفهوم

remote sensing;Landsat;urban waterlogging;lake area;lake centroid;coupling degree

References

  1. 1.
    Abbaspour Moghimi P. 2012. Investigation of lake drying attributed to climate change. International Journal of Environmental Science and Technology, 9(2): 257-266
  2. 2.
    Ablekim A, Kasimu A, Kurban A and Tursun M. 2016. Evolution of small lakes in lower reaches of Tarim River based on multi-source spatial data. Geographical Research, 35(11): 2071-2090
  3. 3.
    Chang Y M. 2018. System coupling model and evaluation of water resources environment and urban eco-economy. Water Resources and Power, 36(2): 55-58, 27
  4. 4.
    Dong S Y, Peng F, You Q G, Guo J and Xue X. 2018. Lake dynamics and its relationship to climate change on the Tibetan Plateau over the last four decades. Regional Environmental Change, 18(2): 477-487
  5. 5.
    Feyisa G L, Meilby H, Fensholt R and Proud S R. 2014. Automated Water Extraction Index: a new technique for surface water mapping using Landsat imagery. Remote Sensing of Environment, 140: 23-35
  6. 6.
    Fisher A, Flood N and Danaher T. 2016. Comparing Landsat water index methods for automated water classification in eastern Australia. Remote Sensing of Environment, 175: 167-182
  7. 7.
    Havens K E and Steinman A D. 2015. Ecological responses of a large shallow lake (Okeechobee, Florida) to climate change and potential future hydrologic regimes. Environmental Management, 55(4): 763-775
  8. 8.
    Hurixbek·Ziyinali, Wu Z P and Kazya·Baolangtijiang. 2018. Lake changes in spatial evolution and driving force for the water area change of the Manas Lake in Xinjiang in the past forty years. Remote Sensing for Land and Resources, 30(1): 217-223
  9. 9.
    Ji H X, Fan X W, Wu G P and Liu Y B. 2015. Accuracy comparison and analysis of methods for water area extraction of discrete lakes. Journal of Lake Sciences, 27(2): 327-334
  10. 10.
    Khandelwal A, Karpatne A, Marlier M E, Kim J, Lettenmaier D P and Kumar V. 2017. An approach for global monitoring of surface water extent variations in reservoirs using MODIS data. Remote Sensing of Environment, 202: 113-128
  11. 11.
    Li Z G, Lu J, Shi B L, Li H Z, Zhang Y W and Li L. 2015. Glaciers and lake changes (1968-2013) and their causes in the Songmuxi Co Basin, Northwest Tibetan Plateau. Geographical Research, 34(11): 2095-2104
  12. 12.
    Ma J W, Huang S F and Xu Z N. 2017. Dynamic satellite remote sensing of lake area in Wuhan from 1973 to 2015. Journal of Hydraulic Engineering, 48(8): 903-913
  13. 13.
    Schewe J, Heinke J, Gerten D, Haddeland I, Arnell N W, Clark D B, Dankers R, Eisner S, Fekete B M, Colón-González F J, Gosling S N, Kim H, Liu X C, Masaki Y, Portmann F T, Satoh Y, Stacke T, Tang Q H, Wada Y, Wisser D, Albrecht T, Frieler K, Piontek F, Warszawski L and Kabat P. 2014. Multimodel assessment of water scarcity under climate change. Proceedings of the National Academy of Sciences of the United States of America, 111(9): 3245-3250
  14. 14.
    Sha Z J, Wang Q G, Wang J L, Du J Z, Hu J F, Ma Y J, Kong F C and Wang Z. 2017. Regional environmental change and human activity over the past hundred years recorded in the sedimentary record of Lake Qinghai, China. Environmental Science and Pollution Research, 24(10): 9662-9674
  15. 15.
    Vijay R, Pinto S M, Kushwaha V K, Pal S and Nandy P. 2016. A multi-temporal analysis for change assessment and estimation of algal bloom in Sambhar Lake, Rajasthan, India. Environmental Monitoring and Assessment, 188(9): 510
  16. 16.
    Wang X B, Xie S P and Du J K. 2018. Water index formulation and its effectiveness research on the complicated surface water surroundings. Journal of remote Sensing, 22(2): 360-372
  17. 17.
    Wang X B, Xie S P, Zhang X L, Chen C, Guo H, Du J K and Duan Z. 2018b. A robust Multi-Band Water Index (MBWI) for automated extraction of surface water from Landsat 8 OLI imagery. International Journal of Applied Earth Observation and Geoinformation, 68: 73-91
  18. 18.
    Wang X L and Bao Y H. 1999. Study on the methods of land use dynamic change research. Progress in Geography, 18(1): 81-87
  19. 19.
    Wang X L, Yang H, Gu Z J, Zhang M L and Yang B J. 2018a. A century of change in sediment accumulation and trophic status in Lake Fuxian, a deep plateau lake of Southwestern China. Journal of Soils and Sediments, 18(3): 1133-1146
  20. 20.
    Wang Y, Yan Z L and Gao F. 2018. Monitoring spatio-temporal changes of water area in Hongjiannao Lake from 1957 to 2015 and its driving forces analysis. Transactions of the Chinese Society of Agricultural Engineering, 34(2): 265-271
  21. 21.
    Wu J S and Zhang P H. 2017. The effect of urban landscape pattern on urban waterlogging. Acta Geographica Sinica, 72(3): 444-456
  22. 22.
    Xiao S C, Peng X M and Tian Q Y. 2016. Climatic and human drivers of recent lake-level change in East Juyan Lake, China. Regional Environmental Change, 16(4): 1063-1073
  23. 23.
    Xing Y, Sun Y J, Li W Q, Li Y and Fu C L. 2017. Variation of lakes in Qinghai-Tibet Plateau and its spatial response to climatic change based on Grey relational analysis. Journal of Arid Land Resources and Environment, 31(3): 158-163
  24. 24.
    Xu S, Liu Z M, Wang Z M, Song K S, Zhang S M, Liu D W, Zhang B and Luo L. 2010. Dynamics of lake area changes and its driving force analysis in Jilin Province from 1986 to 2008. Journal of Lake Sciences, 22(6): 901-909
  25. 25.
    Zhang G Q. 2018. Changes in lakes on the Tibetan Plateau observed from satellite data and their responses to climate variations. Progress in Geography, 37(2): 214-223

قراءة النص الكامل

The above content is generated by Large Model Translation. The translated content is for reference only. We do not assume any commercial or legal responsibilty for any consequences arising from the use of our website