Please wait a minute...
 
REMOTE SENSING FOR LAND & RESOURCES    2016, Vol. 28 Issue (1) : 159-165     DOI: 10.6046/gtzyyg.2016.01.23
Technology Application |
Relationship between land use pattern and water quality change in Fuxian Lake basin
YANG Yanan1,2, WANG Jinliang1, CHEN Guangjie1, XI Xiaohuan2, WANG Cheng2
1. School of Tourism and Geographical Science, Yunnan Normal University, Kunming 650500, China;
2. Key Laboratory of Digital Earth, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
Download: PDF(8126 KB)   HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Abstract  

The water quality of the Fuxian Lake basin has been deteriorating during the past 20 years. To evaluate the impacts of land use changes on water quality, the authors used Landsat TM and ETM+ from 1992 to 2010, in combination with GIS methods and correlation analysis, to explore the relationships of water quality with land use structure and landscape patterns respectively in the period of 1992-2010. The results showed that the surface water area, forest coverage and cultivated land area all displayed a decreasing trend, with a negative correlation of water quality with water area, forest coverage and cultivated land area respectively. There was a rapid expansion of transportation and construction land, which exhibited a significant positive correlation with water quality. Both the landscape diversity index and Shannon's diversity index (SDI) exhibit a significant positive correlation with water quality, and landscapes become more fragmented with an increase in patch number and shape complexity.

Keywords airborne LiDAR      GIS      alpha-shapes algorithm      building      change detection     
:  TP79  
Issue Date: 27 November 2015
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
TANG Feifei
RUAN Zhimin
ZHANG Yali
PENG Li
Cite this article:   
TANG Feifei,RUAN Zhimin,ZHANG Yali, et al. Relationship between land use pattern and water quality change in Fuxian Lake basin[J]. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(1): 159-165.
URL:  
https://www.gtzyyg.com/EN/10.6046/gtzyyg.2016.01.23     OR     https://www.gtzyyg.com/EN/Y2016/V28/I1/159

[1] Ren W W,Zhong Y,Meligrana J,et al.Urbanization, land use, and water quality in Shanghai 1947-1996[J].Environment International,2003,29(5):649-659.

[2] Liu S Y,Gu S,Liu W Z,et al.Water quality in relation to land use and land cover in the upper Han River Basin,China[J].Catena,2008,75(2):216-222.

[3] Tong S T Y,Chen W L.Modeling the relationship between land use and surface water quality[J].Journal of Environmental Management,2002,66(4):377-393.

[4] 刘丽娟,李小玉,何兴元.流域尺度上的景观格局与河流水质关系研究进展[J].生态学报,2011,31(19):5460-5465. Liu L J,Li X Y,He X Y.Advances in the studying of the relationship between landscape pattern and river water quality at the watershed scale[J].Acta Ecologica Sinica,2011,31(19):5460-5465.

[5] Lee S W,Hwang S J,Lee S B,et al.Landscape ecological approach to the relationships of land use patterns in watersheds to water quality characteristics[J].Landscape and Urban Planning,2009,92(2):80-89.

[6] 荆春燕,张秀敏,赵祥华.抚仙湖水质变化趋势分析[J].云南环境科学,2004,23(s1):110-111,114. Jing C Y,Zhang X M,Zhao X H.Analysis of changing tendency with regard to water quality,Fu Xian Lake[J].Yunnan Environmental Science,2004,23(s1):110-111,114.

[7] 蒋鸿昆,高海鹰,张奇,等.抚仙湖梁王河流域农业耕作与流域水质响应关系研究[J].环境科学,2007,28(10):2294-2300. Jiang H K,Gao H Y,Zhang Q,et al.Response of water quality to agricultural cultivation in Liangwanghe river catchment of Fuxianhu Lake region[J].Environmental Science,2007,28(10):2294-2300.

[8] 刘阳,吴钢,高正文.云南省抚仙湖和杞麓湖流域土地利用变化对水质的影响[J].生态学杂志,2008,27(3):447-453. Liu Y,Wu G,Gao Z W.Impacts of land-use change in Fuxian and Qilu basins of Yunnan Province on lake water quality[J].Chinese Journal of Ecology,2008,27(3):447-453.

[9] 高伟,陈岩,徐敏,等.抚仙湖水质变化(1980-2011年)趋势与驱动力分析[J].湖泊科学,2013,25(5):635-642. Gao W,Chen Y,Xu M,et al.Trend and driving factors of water quality change in Lake Fuxian(1980-2011)[J].Journal of Lake Sciences,2013,25(5):635-642.

[10] 陆家驹.长江南京江段水质遥感分析[J].国土资源遥感,2002,14(3):33-36.doi:10.6046/gtzyyg.2002.03.09. Lu J J.Remote sensing analysis of water quality in the Nanjing section of the Yangtze River[J].Remote Sensing for Land and Resources,2002,14(3):33-36.doi:10.6046/gtzyyg.2002.03.09.

[11] 孙庆先,李茂堂,路京选.基于TM影像数据的五日生化需氧量浓度估计[J].国土资源遥感,2009,21(2):82-86.doi:10.6046/gtzyyg.2009.02.17. Sun Q X,Li M T,Lu J X.The estimation of biochemical oxygen demand after five days based on TM image data[J].Remote Sensing for Land and Resources,2009,21(2):82-86.doi:10.6046/gtzyyg.2009.02.17.

[12] 刘颂,李倩,郭菲菲.景观格局定量分析方法及其应用进展[J].东北农业大学学报,2009,40(12):114-119. Liu X,Li Q,Guo F F.Review of quantitative analysis methods of landscape pattern and application progress[J].Journal of Northeast Agricultural University,2009,40(12):114-119.

[13] 张娜.景观生态学[M].北京:科学出版社,2014:224-247. Zhang N.Landscape Ecology[M].Beijing:Science Press,2014:224-247.

[14] 傅伯杰,陈利顶.景观多样性的类型及其生态意义[J].地理学报,1996,51(5):454-462. Fu B J,Chen L D.Landscape diversity types and their ecological significance[J].Acta Geographica Sinica,1996,51(5):454-462.

[15] 杜强,贾丽艳.SPSS统计分析从入门到精通[M].北京:人民邮电出版社,2011:234-236. Du Q,Jia L Y.SPSS Statistical Analysis from Entry to the Master[M].Beijing:The People's Posts and Telecommunications Press,2011:234-236.

[16] 王林,刘宇,祁云宽,等.抚仙湖流域社会经济发展与环境压力分析[J].环境科学导刊,2011,30(5):30-32. Wang L,Liu Y,Qi Y K,et al.Analysis on social economic development and environmental pressure of Fuxian Lake basin[J].Environmental Science Survey,2011,30(5):30-32.

[17] 赵鹏,夏北成,秦建桥,等.流域景观格局与河流水质的多变量相关分析[J].生态学报,2012,32(8):2331-2341. Zhao P,Xia B C,Qin J Q,et al.Multivariate correlation analysis between landscape pattern and water quality[J].Acta Ecologica Sinica,2012,32(8):2331-2341.

[18] 陈红,王声跃,刘俊.抚仙湖流域农业面源污染控制研究[J].云南环境科学,2002(3):27-29. Chen H,Wang S Y,Liu J.Research on agricultural area-source pollution control in Fuxian Lake[J].Yunnan Environmental Science,2002(3):27-29.

[19] 黄树春,刘智,姜端午,等.从遥感地质环境角度研究长江流域水土流失状况及成因[J].国土资源遥感,2010,22(s1):134-139.doi:10.6046/gtzyyg.2010.s1.28. Huang S C,Liu Z,Jiang D W,et al.A study of soil erosion and its origin in Yangtze River basin based on the remote sensing geological environment[J].Remote Sensing for Land and Resources,2010,22(s1):134-139.doi:10.6046/gtzyyg.2010.s1.28.

[20] 王鹏举.基于土地利用结构与景观格局的小流域氮、磷、碳输出特征分析[D].武汉:华中农业大学,2012. Wang P J.The Export Characteristics of Nitrogen Phosphorus and Carbon based on Landuse Structure and Landscape Pattern[D].Wuhan:Huazhong Agricultural University,2012.

[21] 宋小宁,朱小华,李小涛,等.石羊河流域中游景观生态格局变化及驱动分析[J].国土资源遥感,2010(1):117-122.doi:10.6046/gtzyyg.2010.01.22. Song X N,Zhu X H,Li X T,et al.A landscape ecological analysis of the change and driver pattern in the middle Shiyang river valley[J].Remote Sensing for Land and Resources,2010(1):117-122.doi:10.6046/gtzyyg.2010.01.22.

[1] WU Yijie, KONG Xuesong. Simulation and development mode suggestions of the spatial pattern of “ecology-agriculture-construction” land in Jiangsu Province[J]. Remote Sensing for Natural Resources, 2022, 34(1): 238-248.
[2] LI Dong, TANG Cheng, ZOU Tao, HOU Xiyong. Detection and assessment of the physical state of offshore artificial reefs[J]. Remote Sensing for Natural Resources, 2022, 34(1): 27-33.
[3] WU Fang, LI Yu, JIN Dingjian, LI Tianqi, GUO Hua, ZHANG Qijie. Application of 3D information extraction technology of ground obstacles in the flight trajectory planning of UAV airborne geophysical exploration[J]. Remote Sensing for Natural Resources, 2022, 34(1): 286-292.
[4] XUE Bai, WANG Yizhe, LIU Shuhan, YUE Mingyu, WANG Yiying, ZHAO Shihu. Change detection of high-resolution remote sensing images based on Siamese network[J]. Remote Sensing for Natural Resources, 2022, 34(1): 61-66.
[5] PAN Jianping, XU Yongjie, LI Mingming, HU Yong, WANG Chunxiao. Research and development of automatic detection technologies for changes in vegetation regions based on correlation coefficients and feature analysis[J]. Remote Sensing for Natural Resources, 2022, 34(1): 67-75.
[6] ZANG Liri, YANG Shuwen, SHEN Shunfa, XUE Qing, QIN Xiaowei. A registration algorithm of images with special textures coupling a watershed with mathematical morphology[J]. Remote Sensing for Natural Resources, 2022, 34(1): 76-84.
[7] SONG Renbo, ZHU Yuxin, GUO Renjie, ZHAO Pengfei, ZHAO Kexin, ZHU Jie, CHEN Ying. A method for 3D modeling of urban buildings based on multi-source data integration[J]. Remote Sensing for Natural Resources, 2022, 34(1): 93-105.
[8] YU Xinli, SONG Yan, YANG Miao, HUANG Lei, ZHANG Yanjie. Multi-model and multi-scale scene recognition of shipbuilding enterprises based on convolutional neural network with spatial constraints[J]. Remote Sensing for Natural Resources, 2021, 33(4): 72-81.
[9] LI Yikun, YANG Yang, YANG Shuwen, WANG Zihao. A change vector analysis in posterior probability space combined with fuzzy C-means clustering and a Bayesian network[J]. Remote Sensing for Natural Resources, 2021, 33(4): 82-88.
[10] WANG Shuang, ZHANG Lei, ZHANG Junyong, WANG Yile. Characteristics of GIS applications in national fitness[J]. Remote Sensing for Natural Resources, 2021, 33(4): 265-271.
[11] WANG Yiuzhu, HUANG Liang, CHEN Pengdi, LI Wenguo, YU Xiaona. Change detection of remote sensing images based on the fusion of co-saliency difference images[J]. Remote Sensing for Natural Resources, 2021, 33(3): 89-96.
[12] GUO Wen, ZHANG Qiao. Building extraction using high-resolution satellite imagery based on an attention enhanced full convolution neural network[J]. Remote Sensing for Land & Resources, 2021, 33(2): 100-107.
[13] ZHAO Longxian, DAI Jingjing, ZHAO Yuanyi, JIANG Qi, LIU Tingyue, FU Minghai. A study of mine site selection of the Duolong ore concentration area in Tibet based on RS and GIS technology[J]. Remote Sensing for Land & Resources, 2021, 33(2): 182-191.
[14] MIAO Miao, XIE Xiaoping. Spatial-temporal evolution analysis of Rizhao coastal zone during 1988—2018 based on GIS and RS[J]. Remote Sensing for Land & Resources, 2021, 33(2): 237-247.
[15] WU Yu, ZHANG Jun, LI Yixu, HUANG Kangyu. Research on building cluster identification based on improved U-Net[J]. Remote Sensing for Land & Resources, 2021, 33(2): 48-54.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
京ICP备05055290号-2
Copyright © 2017 Remote Sensing for Natural Resources
Support by Beijing Magtech