疏勒河流域陆地水储量与植被指数的时空耦合关系
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摘要
干旱区水资源与植被生长状态的时空变化规律及其耦合关系的研究一直以来都是水文学和生态学等领域研究的重点和热点。以我国干旱区内陆河流域—疏勒河流域为研究区,利用2002—2016期间GRACE卫星反演的陆地水储量变化(TWSA)和MODIS的增强型植被指数(EVI)两个指标开展了基于像元的流域水资源和植被状态的时空格局变化及其耦合关系研究。结果表明:(1)在时间尺度上,疏勒河流域的TWSA和EVI表现出明显的周期性、季节性以及趋势性规律;(2)在空间尺度上,基于像元的流域TWSA和EVI均呈明显的空间异质性;(3)在时空耦合关系方面,年均TWSA与EVI在流域整体尺度上呈中度负相关;在子分区尺度上,中部平原区呈高度负相关,南部山区和北部山区相关性不显著;在像元尺度上,年均TWSA与EVI呈高度负相关、中度负相关、低度负相关的像元分别占全流域的19%、32%和31%;仅有18%的像元呈低度正相关,说明疏勒河流域的TWSA与EVI的时空耦合关系复杂且具有明显的空间异质性和尺度效应。研究结论将为疏勒河流域的水资源优化配置和合理开发利用,以及为实现干旱区的可持续发展提供科学依据。
The spatio-temporal pattern changes between water resources and vegetation growth, and their coupling relationship have always been important issues in hydrology and ecology. This case study of Shule River Basin, which is a typical inland river basin in an arid area, investigated the spatio-temporal pattern changes in water resources and vegetation growth, and their coupling relationship. The terrestrial water storage anomaly(TWSA) inversed by the GRACE satellite was used along with the enhanced vegetation index(EVI) derived from the MODIS data for 2002 to 2016. The results indicate that(1) on a temporal scale, the TWSA and EVI of the basin show obvious periodicity, seasonality, and tendency;(2) on a spatial scale, the TWSA and EVI of the basin, based on grid cell size, show obvious spatial heterogeneity at the whole basin and sub-regional scales;(3) the coupling relationship analysis shows that there is a moderately negative correlation between annual average TWSA and the EVI across the whole basin and that there is a highly negative correlation in the central plain area. However, there is no significant correlation in the southern mountainous area and the northern mountainous area. The proportions of grid cells that have a highly negative correlation, a moderately negative correlation, and a low negative correlation between the TWSA and EVI are 19%, 32%, and 31% of the total, respectively. Only 18% show a low positive correlation. Therefore, the coupling relationships between annual average TWSA and EVI are complex and show the clear spatial heterogeneity and scale effects in the basin. The research conclusions could help optimize the allocation and rational utilization of water resources and ecologically sustainable development in the Shule River Basin and the arid regions of China.
The spatio-temporal pattern changes between water resources and vegetation growth, and their coupling relationship have always been important issues in hydrology and ecology. This case study of Shule River Basin, which is a typical inland river basin in an arid area, investigated the spatio-temporal pattern changes in water resources and vegetation growth, and their coupling relationship. The terrestrial water storage anomaly(TWSA) inversed by the GRACE satellite was used along with the enhanced vegetation index(EVI) derived from the MODIS data for 2002 to 2016. The results indicate that(1) on a temporal scale, the TWSA and EVI of the basin show obvious periodicity, seasonality, and tendency;(2) on a spatial scale, the TWSA and EVI of the basin, based on grid cell size, show obvious spatial heterogeneity at the whole basin and sub-regional scales;(3) the coupling relationship analysis shows that there is a moderately negative correlation between annual average TWSA and the EVI across the whole basin and that there is a highly negative correlation in the central plain area. However, there is no significant correlation in the southern mountainous area and the northern mountainous area. The proportions of grid cells that have a highly negative correlation, a moderately negative correlation, and a low negative correlation between the TWSA and EVI are 19%, 32%, and 31% of the total, respectively. Only 18% show a low positive correlation. Therefore, the coupling relationships between annual average TWSA and EVI are complex and show the clear spatial heterogeneity and scale effects in the basin. The research conclusions could help optimize the allocation and rational utilization of water resources and ecologically sustainable development in the Shule River Basin and the arid regions of China.
引文
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[4] 傅伯杰,陈利顶,马克明.黄土丘陵区小流域土地利用变化对生态环境的影响——以延安市羊圈沟流域为例.地理学报,1999,54(3):241- 246.
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[7] 郑一帆.疏勒河水资源变化趋势分析.甘肃科技,2017,33(17):52- 54.
[8] 王根绪,程国栋,沈永平.近50年来河西走廊区域生态环境变化特征与综合防治对策.自然资源学报,2002,17(1):78- 86.
[9] 王有权.河西走廊疏勒河流域地下水资源开发利用的环境效应.地下水,2012,34(2):48- 50.
[10] 周长进,张义丰,董锁成,李岱.疏勒河流域天然水质研究及水环境保护.自然资源学报,2004,19(5):604- 609.
[11] 杨根生,曲耀光,董光荣,陈广庭,李栋梁,张景光,伍光和,胡双熙.疏勒河下游生态保护研究.中国沙漠,2005,25(4):472- 482.
[12] 邹明亮,周妍妍,曾建军,韩雅敏,岳东霞.基于HANTS算法的疏勒河流域荒漠化时空动态监测.西北师范大学学报:自然科学版,2018,54(2):88- 94.
[13] 陈荷生.疏勒河流域水资源开发对环境的影响.自然资源,1988,(2):60- 65.
[14] 章予舒,王立新,张红旗,李香云.甘肃疏勒河流域环境因子变异对荒漠化态势的影响.资源科学,2003,25(6):60- 65.
[15] 叶红梅,陈少辉,盛丰,谌宏伟.疏勒河流域中下游土地覆盖动态变化及其与地下水的相关性.水利学报,2013,44(1):83- 90.
[16] 王文,王鹏,崔巍.长江流域陆地水储量与多源水文数据对比分析.水科学进展,2015,26(6):759- 768.
[17] 李晓英,叶根苗,蔡晨凯,苏志伟.基于GRACE和MODIS数据的长江流域陆地水储量变化分析及预测.长江科学院院报,2018,35(5):130- 135.
[18] 胡小工,陈剑利,周永宏,黄珹,廖新浩.利用GRACE空间重力测量监测长江流域水储量的季节性变化.中国科学 D辑地球科学,2006,36(3):225- 232.
[19] 曹艳萍,南卓铜.利用GRACE重力卫星监测黑河流域水储量变化.遥感技术与应用,2011,26(6):719- 727.
[20] 翟宁,王泽民,伍岳,叶聪云.利用GRACE反演长江流域水储量变化.武汉大学学报:信息科学版,2009,34(4):436- 439.
[21] 尼胜楠,陈剑利,李进,陈超,梁青.利用GRACE卫星时变重力场监测长江、黄河流域水储量变化.大地测量与地球动力学,2014,34(4):49- 55.
[22] 罗志才,李琼,钟波.利用GRACE时变重力场反演黑河流域水储量变化.测绘学报,2012,41(5):676- 681.
[23] 任永强,潘云,宫辉力.海河流域地下水储量时变趋势分析.首都师范大学学报:自然科学版,2013,34(4):88- 94.
[24] 许朋琨,张万昌.GRACE反演近年青藏高原及雅鲁藏布江流域陆地水储量变化.水资源与水工程学报,2013,24(1):23- 29.
[25] 郑晓,王乃昂,李卓仑,张学敏,王蕾.1990—2005年疏勒河流域土地利用/覆盖变化分析.中国沙漠,2010,30(4):857- 861.
[26] Wahr J,Swenson S,Zlotnicki V,Velicogna I.Time-variable gravity from GRACE:First results.Geophysical Research Letters,2004,31(11):L11501.
[27] Andersen O B,Hinderer J.Global inter-annual gravity changes from GRACE:Early results.Geophysical Research Letters,2005,32(1):L01402.
[28] Wahr J,Molenaar M,Bryan F.Time variability of the Earth′s gravity field:Hydrological and oceanic effects and their possible detection using GRACE.Journal of Geophysical Research Solid Earth,1998,103(B12):30205- 30229.
[29] Watkins M M,Wiese D N,Yuan D N,Boening C,Landerer F W.Improved methods for observing Earth′s time variable mass distribution with GRACE using spherical cap mascons.Journal of Geophysical Research Solid Earth,2015,120(4):2648- 2671.
[30] 郭永海,王海龙,肖丰,苏锐,季瑞利,刘淑芬,董建楠,宗自华,李亚伟,周佳.马鬃山地区侵入岩体渗透性能分析.铀矿地质,2011,27(6):363- 369.
[31] 梅安新,彭望琭,秦其明,刘慧平.遥感导论.北京:高等教育出版社,2001.
[32] 左丽君,张增祥,董婷婷,汪潇.MODIS/NDVI和MODIS/EVI在耕地信息提取中的应用及对比分析.农业工程学报,2008,24(3):167- 172.
[33] Zhang X H,Wang N A,Xie Z Y,Ma X L,Huete A.Water loss due to increasing planted vegetation over the Badain Jaran Desert,China.Remote Sensing,2018,10(1):134.
[34] 蒋瑾,丛自立.从水分平衡角度探讨固沙植物的合理密度问题.生态学杂志,1986,5(1):7- 12.
[35] 于国斌,李忠勤,王璞玉.近50 a祁连山西段大雪山和党河南山的冰川变化.干旱区地理,2014,37(2):299- 309.
[36] 周兆叶,宜树华,叶柏生,任世龙,许民,李乃杰.疏勒河上游冻土区高寒草地NDVI分布特征及制约因素分析.草业科学,2012,29(5):671- 675.
[2] 陈亚宁,李卫红,徐海量,刘加珍,张宏峰,陈亚鹏.塔里木河下游地下水位对植被的影响.地理学报,2003,58(4):542- 549.
[3] 黄奕龙,傅伯杰,陈利顶.生态水文过程研究进展.生态学报,2003,23(3):580- 587.
[4] 傅伯杰,陈利顶,马克明.黄土丘陵区小流域土地利用变化对生态环境的影响——以延安市羊圈沟流域为例.地理学报,1999,54(3):241- 246.
[5] 傅伯杰,陈利顶,马克明,王仰麟.景观生态学原理及应用.北京:科学出版社,2001.
[6] 慕富强.最近25年来疏勒河流域气候变化与水文水资源的响应[D].兰州:兰州大学,2006.
[7] 郑一帆.疏勒河水资源变化趋势分析.甘肃科技,2017,33(17):52- 54.
[8] 王根绪,程国栋,沈永平.近50年来河西走廊区域生态环境变化特征与综合防治对策.自然资源学报,2002,17(1):78- 86.
[9] 王有权.河西走廊疏勒河流域地下水资源开发利用的环境效应.地下水,2012,34(2):48- 50.
[10] 周长进,张义丰,董锁成,李岱.疏勒河流域天然水质研究及水环境保护.自然资源学报,2004,19(5):604- 609.
[11] 杨根生,曲耀光,董光荣,陈广庭,李栋梁,张景光,伍光和,胡双熙.疏勒河下游生态保护研究.中国沙漠,2005,25(4):472- 482.
[12] 邹明亮,周妍妍,曾建军,韩雅敏,岳东霞.基于HANTS算法的疏勒河流域荒漠化时空动态监测.西北师范大学学报:自然科学版,2018,54(2):88- 94.
[13] 陈荷生.疏勒河流域水资源开发对环境的影响.自然资源,1988,(2):60- 65.
[14] 章予舒,王立新,张红旗,李香云.甘肃疏勒河流域环境因子变异对荒漠化态势的影响.资源科学,2003,25(6):60- 65.
[15] 叶红梅,陈少辉,盛丰,谌宏伟.疏勒河流域中下游土地覆盖动态变化及其与地下水的相关性.水利学报,2013,44(1):83- 90.
[16] 王文,王鹏,崔巍.长江流域陆地水储量与多源水文数据对比分析.水科学进展,2015,26(6):759- 768.
[17] 李晓英,叶根苗,蔡晨凯,苏志伟.基于GRACE和MODIS数据的长江流域陆地水储量变化分析及预测.长江科学院院报,2018,35(5):130- 135.
[18] 胡小工,陈剑利,周永宏,黄珹,廖新浩.利用GRACE空间重力测量监测长江流域水储量的季节性变化.中国科学 D辑地球科学,2006,36(3):225- 232.
[19] 曹艳萍,南卓铜.利用GRACE重力卫星监测黑河流域水储量变化.遥感技术与应用,2011,26(6):719- 727.
[20] 翟宁,王泽民,伍岳,叶聪云.利用GRACE反演长江流域水储量变化.武汉大学学报:信息科学版,2009,34(4):436- 439.
[21] 尼胜楠,陈剑利,李进,陈超,梁青.利用GRACE卫星时变重力场监测长江、黄河流域水储量变化.大地测量与地球动力学,2014,34(4):49- 55.
[22] 罗志才,李琼,钟波.利用GRACE时变重力场反演黑河流域水储量变化.测绘学报,2012,41(5):676- 681.
[23] 任永强,潘云,宫辉力.海河流域地下水储量时变趋势分析.首都师范大学学报:自然科学版,2013,34(4):88- 94.
[24] 许朋琨,张万昌.GRACE反演近年青藏高原及雅鲁藏布江流域陆地水储量变化.水资源与水工程学报,2013,24(1):23- 29.
[25] 郑晓,王乃昂,李卓仑,张学敏,王蕾.1990—2005年疏勒河流域土地利用/覆盖变化分析.中国沙漠,2010,30(4):857- 861.
[26] Wahr J,Swenson S,Zlotnicki V,Velicogna I.Time-variable gravity from GRACE:First results.Geophysical Research Letters,2004,31(11):L11501.
[27] Andersen O B,Hinderer J.Global inter-annual gravity changes from GRACE:Early results.Geophysical Research Letters,2005,32(1):L01402.
[28] Wahr J,Molenaar M,Bryan F.Time variability of the Earth′s gravity field:Hydrological and oceanic effects and their possible detection using GRACE.Journal of Geophysical Research Solid Earth,1998,103(B12):30205- 30229.
[29] Watkins M M,Wiese D N,Yuan D N,Boening C,Landerer F W.Improved methods for observing Earth′s time variable mass distribution with GRACE using spherical cap mascons.Journal of Geophysical Research Solid Earth,2015,120(4):2648- 2671.
[30] 郭永海,王海龙,肖丰,苏锐,季瑞利,刘淑芬,董建楠,宗自华,李亚伟,周佳.马鬃山地区侵入岩体渗透性能分析.铀矿地质,2011,27(6):363- 369.
[31] 梅安新,彭望琭,秦其明,刘慧平.遥感导论.北京:高等教育出版社,2001.
[32] 左丽君,张增祥,董婷婷,汪潇.MODIS/NDVI和MODIS/EVI在耕地信息提取中的应用及对比分析.农业工程学报,2008,24(3):167- 172.
[33] Zhang X H,Wang N A,Xie Z Y,Ma X L,Huete A.Water loss due to increasing planted vegetation over the Badain Jaran Desert,China.Remote Sensing,2018,10(1):134.
[34] 蒋瑾,丛自立.从水分平衡角度探讨固沙植物的合理密度问题.生态学杂志,1986,5(1):7- 12.
[35] 于国斌,李忠勤,王璞玉.近50 a祁连山西段大雪山和党河南山的冰川变化.干旱区地理,2014,37(2):299- 309.
[36] 周兆叶,宜树华,叶柏生,任世龙,许民,李乃杰.疏勒河上游冻土区高寒草地NDVI分布特征及制约因素分析.草业科学,2012,29(5):671- 675.
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