基于地理探测器的干旱区内陆河流域产水量驱动力分析
——以疏勒河流域为例

doi:10.12118/j.issn.1000-6060.2020.06.08

摘要/Abstract

摘要： 明确干旱区产水量的驱动因素，能为区域水资源优化和可持续发展提供科学依据。基于 MODIS 植被指数、HWSD 的土壤数据集以及气象要素数据，采用 InVEST 模型和地理探测器探究疏勒河流域多年平均产水量的空间分布，揭示不同空间尺度上产水量的单因子及双因子交互驱动机制。结果表明：疏勒河流域多年平均产水量呈现南部>北部>中部。流域尺度上，产水量空间格局的主导驱动力为降水，坡度与降水交互驱动作用最为显著。区域尺度上，南部山区、北部马鬃山地区和中部平原区的主导驱动力各不相同，分别为日照时数、人为干扰强度、降水，双因子交互作用显示人为干扰强度与其它因子的交互最为显著。不同土地利用类型中，耕地产水量的主导驱动力为坡度，而其它地类产水量的主要影响因子为降水。各地类中降水与其他因子的交互均大大增强了单因子驱动力。因此，干旱区产水量多尺度驱动机制研究对区域水资源可持续管理至关重要。

关键词: 产水量, InVEST 模型, 地理探测器, 疏勒河流域

Abstract: Defining the driving factors of water yield in arid areas can provide a scientific basis for regional water resources optimization and sustainable development. In this paper, the InVEST model and geo-detectors were used to explore the spatial distribution of the average annual water yield in the Shule River Basin, Gansu Province, China and the driving forces at different spatial scales in 2015, based on the MODIS vegetation index, HWSD soil dataset, and meteorological data. Results show that the average annual water yield of the Shule River Basin was in an order of south > north > middle. At the basin scale, the dominant driving force of the spatial pattern of water yield is precipitation. The interaction of slope and precipitation is the most significant for water yield. At the regional scale, the dominant interpretation factors in the southern Qilian Mountains, northern Ma Zong mountains area, and the central plains are precipitation, human disturbance intensity, and precipitation, respectively. Most significant factor interaction is between human disturbance intensity and other factors. In different land uses, the slope in cultivated land is the dominant driving force, while precipitation of other land types is the main influencing factor of water yield. The interaction between precipitation and other factors in various categories has greatly enhanced the single factor driving force. Therefore, the research at the multi- scale driving mechanism of water yield in arid regions is crucial to the sustainable management of regional water resources.

Key words: water yield, InVEST model, geo-detector, Shule River Basin

郑续, 魏乐民, 郭建军, 周妍妍, 陈冠光, 岳东霞 . 基于地理探测器的干旱区内陆河流域产水量驱动力分析 ——以疏勒河流域为例[J]. 干旱区地理, 2020, 43(6): 1477-1485.

ZHENG Xu, WEI Le-min, GUO Jian-jun, ZHOU Yan-yan, CHEN Guan-guang, YUE Dong-xia. Driving force analysis of water yield in inland river basins of arid areas based on geo-detectors: A case of the Shule River[J]. Arid Land Geography, 2020, 43(6): 1477-1485.

参考文献 40

[1]	COSTANZA R, D’ARGE R, DEGROOT R, et al. The value of the world’s ecosystem services and natural capital[J]. Ecological Eco⁃ nomics, 1998, 25(1): 3-15.
[2]	LING H B, YAN J J, XU H L, et al. Estimates of shifts in ecosys⁃ tem service values due to changes in key factors in the Manas Riv⁃ er basin, northwest China[J]. Science of the Total Environment, 2019, 659: 177-187.
[3]	ZHENG Z M, FU B J, FENG X M. GIS-based analysis for hotspot identification of tradeoff between ecosystem services: A case study in Yanhe Basin, China[J]. Chinese Geographical Science, 2016, 26 (4): 466-477.
[4]	WU X T, WANG S, FU B J, et al. Land use optimization based on ecosystem service assessment: A case study in the Yanhe water⁃ shed[J]. Land Use Policy, 2018, 72: 303-312.
[5]	孙艺杰, 任志远, 郝梦雅, 等. 黄土高原生态系统服务权衡与协同时空变化及影响因素——以延安市为例[J]. 生态学报, 2019, 39(10): 3443- 3454. [SUN Yijie, RENG Zhiyuan, HAO Mengya, et al. Spatial and temporal changes in the synergy and trade- off be⁃ tween ecosystem services, and its influencing factors in Yanan, Loess Plateau[J]. Acta Ecologica Sinica, 2019, 39(10): 3443- 3454. ]
[6]	傅伯杰, 张立伟. 土地利用变化与生态系统服务: 概念、方法与进展 [J]. 地理科学进展, 2014, 33(4): 441- 446. [FU Bojie, ZHANG Liwei. Land-use change and ecosystem services: Concepts, methods and progress[J]. Progress in Geography, 2014, 33(4): 441- 446. ]
[7]	LI J, ZHOU Z X. Natural and human impacts on ecosystem servic⁃ es in Guanzhong- Tianshui economic region of China[J]. Environ⁃ mental Science and Pollution Research, 2016, 23(7): 6803-6815.
[8]	陈姗姗, 刘康, 包玉斌, 等. 商洛市水源涵养服务功能空间格局与影响因素 [J]. 地理科学, 2016, 36(10): 1546- 1554. [CHEN Shanshan, LIU Kang, BAO Yubin, et al. Spatial pattern and influ⁃ encing factors of water conservation service function in Shangluo City[J]. Scientia Geographica Sinica, 2016, 36(10): 1546-1554. ]
[9]	窦攀烽, 左舒翟, 任引, 等. 气候和土地利用/覆被变化对宁波地区生态系统产水服务的影响[J]. 环境科学学报, 2019, 39(7): 2398-2409. [DOU Panfeng, ZUO Shudi, REN Yin, et al. The im⁃ pacts of climate and land use/land cover changes on water yield service in Ningbo region[J]. Acta Scientiae Circumstantiae, 2019, 39(7): 2398-2409. ]
[10]	王鹏, 刘小鹏, 王亚娟, 等. 黄土丘陵沟壑区生态移民过程及其生态系统服务价值评价——以宁夏海原县为例[J]. 干旱区地理, 2019, 42(2): 433- 443. [WANG Peng, LIU Xiaopeng, WANG Yajuan, et al. Ecological migration process and the evaluation of its ecosystem service value in Loess hilly and gully region: A case study of Haiyuan County, Ningxia[J]. Arid Land Geography, 2019, 42(2): 433-443. ]
[11]	苏常红, 王亚璐. 汾河上游流域生态系统服务变化及驱动因素 [J]. 生态学报, 2018, 38(22): 7886-7898. [SU Changhong, WANG Yalu. Evolution of ecosystem services and its driving factors in the upper reaches of the Fenhe River watershed, China[J]. Acta Eco⁃ logica Sinica, 2018, 38(22): 7886-7898. ]
[12]	张琨, 吕一河, 傅伯杰, 等. 黄土高原植被覆盖变化对生态系统服务影响及其阈值 [J]. 地理学报, 2020, 75(5): 949- 960. [ZHANG Kun, LYU Yihe, FU Bojie, et al. The effects of vegetation coverage changes on ecosystem service and their threshold in the Loess Plateau[J]. Acta Geographica Sinica, 2020, 75(5): 949-960. ]
[13]	邬建国. 景观生态学-格局、过程、尺度与等级 [M]. 第二版. 北京: 高等教育出版社, 2007. [WU Jianguo. Landscape ecology: Pattern, process, scale and hierarchy[M]. 2nd ed. Beijing: Higher EducationPress,2007.]
[14]	刘建军. 疏勒河流域水环境综合治理方案探讨[C] // 2018（第六届）中国水生态大会, 2018: 1- 5. [LIU Jianjun. Discussion on comprehensive water environment management scheme of Shule River Basin[C] //2018 (6th) China Water Ecology Conference, 2018: 1-5. ]
[15]	ZHANG X F, JIN X, BAI X, et al. Impacts of water resource plan⁃ ning on regional water consumption pattern: A case study in Dun⁃ huang Oasis, China[J]. Journal of Arid Land, 2019, 11(5): 713-728.
[16]	张玲玲. 甘肃白龙江流域生态系统服务评估及影响因素[D]. 兰州: 兰州大学, 2016. [ZHANG Lingling. Ecosystem services as⁃ sessment and its driving forces in the Bailongjiang Watershed of Gansu[D]. Lanzhou: Lanzhou University, 2016. ]
[17]	郭晓娟. 疏勒河流域净初级生产力与土壤含水量耦合关系研究 [D]. 兰州: 兰州大学, 2019. [GUO Xiaojuan. Coupling relation⁃ ship between net primary productivity and soil moisture content in the Shule River Basin[D]. Lanzhou : Lanzhou University, 2019. ]
[18]	郭晓娟, 周妍妍, 郭建军, 等. 疏勒河流域土壤含水率反演[J]. 干旱区研究, 2018, 35(6): 1317-1326. [GUO Xiaojuan, ZHOU Yan⁃ yan, GUO Jianjun, et al. Inversion of soil moisture content in the Shule River Basin[J]. Arid Zone Research, 2018, 35(6): 1317-1326. ]
[19]	陈洪磊, 欧阳炜, 吕凤玲, 等. 官渡河流域植被覆盖变化与地形因子相关性 [J]. 水土保持研究, 2019, 26(3): 135- 140, 147. [CHEN Honglei, OUYANG Wei, LYU Fengling, et al. Variation of vegetation cover and its correlation of topographic factors in Guan⁃ du River Basin[J]. Research of Soil and Water Conservation, 2019, 26(3): 135-140, 147. ]
[20]	WOLOCK D M, MCCABE G J. Estimates of runoff using water-bal⁃ ance and atmospheric general circulation models[J]. JAWRA Jour⁃ nal of the American Water Resources Association, 1999, 35(6): 1341-1350.
[21]	贾芳芳. 基于 InVEST 模型的赣江流域生态系统服务功能评估 [D]. 北京: 中国地质大学（北京）, 2014. [JIA Fangfang. InVEST model based ecosystem services evaluation with case study on Ganjiang River Basin[D]. Beijing: China University of Geoscienc⁃ es (Beijing), 2014. ]
[22]	周彬. 基于生态服务功能的北京山区森林景观优化研究[D]. 北京: 北京林业大学, 2011. [ZHOU Bin. Forest landscape optimiza⁃ tion based on eeosystem services for mountainous area of Beijing [D]. Beijing: Beijing Forestry University, 2011. ]
[23]	徐佩, 彭培好, 王玉宽, 等. 九寨沟自然保护区生态水的计量与评价研究[J]. 地球与环境, 2007(1): 61-64. [XU Pei, PENG Pei⁃ hao, WANG Yukuan, et al. Estimation and assessment on eco-wa⁃ ter storage of the Jiuzhaigou Natural Reserve[J]. Earth and Envi⁃ ronment, 2007(1): 61-64. ]
[24]	王劲峰, 徐成东. 地理探测器: 原理与展望[J]. 地理学报, 2017, 72(1): 116- 134. [WANG Jinfeng, XU Chengdong. Geodetector: Principle and prospective[J]. Acta Geographica Sinica, 2017, 72 (1): 116-134. ]
[25]	邹雅婧, 闫庆武, 谭学玲, 等. 渭北矿区土壤侵蚀评估及驱动因素分析[J]. 干旱区地理, 2019, 42(6): 1387-1394. [ZOU Yajing, YAN Qingwu, TAN Xueling, et al. Evaluation of soil erosion and driving factors analysis in Weibei mining area[J]. Arid Land Geog⁃ raphy, 2019, 42(6): 1387-1394. ]
[26]	王伟, 张佳莹, 彭东慧, 等. 中国区域旅游发展潜力演变格局与影响因素分析[J]. 干旱区地理, 2019, 42(4): 953-960. [WANG Wei, ZHANG Jiaying, PENG Donghui, et al. Evolving pattern and influencing factors of regional tourism development potential in China[J]. Arid Land Geography, 2019, 42(4): 953-960. ]
[27]	雒占福, 张金, 刘娅婷, 朱立祥. 2000—2017 年中国城市绿化水平的时空演变及其影响因素研究[J]. 干旱区地理, 2020, 43(2): 481- 490. [LUO Zhanfu, ZHANG Jin, LIU Yating, et al. Spatial- temporal evolution characteristics and affecting factors of urban greening level in China during 2000—2017[J]. Arid Land Geogra⁃ phy, 2020, 43(2): 481-490. ]
[28]	DING Yueting, ZHANG Ming, QIAN Xiangyan, et al. Using the geographical detector technique to explore the impact of socioeco⁃ nomic factors on PM2.5 concentrations in China[J]. Journal of Clean⁃ er Production, 2019, 211: 1480-1490.
[29]	YUAN Xuefeng, HAN Jichang, SHAO Yajing, et al. Geodetection analysis of the driving forces and mechanisms of erosion in the hilly-gully region of northern Shaanxi Province[J]. Journal of Geo⁃ graphical Sciences, 2019, 29(5): 779-790.
[30]	贡璐, 张海峰, 安尼瓦尔•阿木提, 等. 干旱区内陆河流域典型绿洲土地利用格局变化中的人为影响空间分异研究[J]. 干旱区地理, 2009, 32(4): 585- 591. [GONG Lu, ZHANG Haifeng, AMUTI Aniwar, et al. Spatial difference analysis of land use change and human impact in typical oasis in arid land[J]. Arid Land Geography, 2009, 32(4): 585-591. ]
[31]	张丽. 疏勒河流域降水分布规律及变化趋势分析[J]. 甘肃水利水电技术, 2015, 51(7): 1-4, 21. [ZHANG Li. Analysis of precipita⁃ tion distribution and variation trend in shule river basin[J]. Gansu Wa⁃ ter Resources and Hydropower Technology, 2015, 51(7): 1-4, 21. ]
[32]	徐栋. 全球变暖背景下亚非干旱区降水变化及其与水汽输送的关系研究[D]. 兰州: 兰州大学, 2016. [XU Dong. Characteristics of precipitation and its relationship with vapor transport in Asia- Africa arid region under global warming[D]. Lanzhou: Lanzhou University, 2016. ]
[33]	张明明. 2000—2015 年中国干旱半干旱区蒸散发时空变化及其影响因素分析 [D]. 西安: 长安大学. 2019.［ZHANG Ming⁃ ming. Analysis of the temporal and spatial variation of evapotrans⁃ piration and its driving factors in arid and semi-arid region of Chi⁃ na from 2000 to 2015[D]. Xi’an: Chang’an University, 2019. ］
[34]	唐文超. 基于生态水文过程的城市水空间体系构建方法[D]. 重庆: 重庆大学, 2015. [TANG Wenchao. The construction method of city water space system based on ecohydrological process[D]. Chongqing: Chongqing University, 2015. ]
[35]	赵亚茹, 周俊菊, 雷莉, 等. 基于 InVEST 模型的石羊河上游产水量驱动因素识别 [J]. 生态学杂志, 2019, 38(12): 3789- 3799. [ZHAO Yaru, ZHOU Junju, LEI Li, et al. Identification of water yield drivers in the upstream of Shiyang River based on InVEST model[J]. Chinese Journal of Ecology, 2019, 38(12): 3789-3799. ]
[36]	孙栋元, 齐广平, 鄢继选, 等. 疏勒河干流降水变化特征[J]. 干旱区研究, 2020, 37(2): 291- 303. [SUN Dongyuan, QI Guangping, YAN Jixuan, et al. Research on variation characteristics of precipi⁃ tation in the mainstream of Shule River[J]. Arid Zone Research, 2020, 37(2): 291-303. ]
[37]	张殿君, 张学霞, 武鹏飞. 黄土高原典型流域土地利用变化对蒸散发影响研究[J]. 干旱区地理, 2011, 34(3): 400-408. [ZHANG Dianjun, ZHANG Xuexia, WU Pengfei. Relationship between ET and LUCC in typical watershed of Loess Plateau over the past 20 years[J]. Arid Land Geography, 2011, 34(3): 400-408. ]
[38]	戴尔阜, 王亚慧. 横断山区产水服务空间异质性及归因分析[J]. 地理学报, 2020, 75(3): 607-619. [DAI Erfu, WANG Yahui. Spa⁃ tial heterogeneity and driving mechanisms of water yield service in the Hengduan Mountain region[J]. Acta Geographica Sinica, 2020, 75(3): 607-619. ]
[39]	GUO Jianjun, YUE Dongxia, LI Kai, et al. Biocapacity optimiza⁃ tion in regional planning[J]. Scientific Reports, 2017, 7: 41150.
[40]	HOU Ying, LYU Yihe, CHEN Weiping, et al. Temporal variation and spatial scale dependency of ecosystem service interactions: A case study on the central Loess Plateau of China[J]. Landscape Ecology, 2017, 32(6): 1201-1217.

基于地理探测器的干旱区内陆河流域产水量驱动力分析 ——以疏勒河流域为例

Driving force analysis of water yield in inland river basins of arid areas based on geo-detectors: A case of the Shule River

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