基于InVEST模型的青海湖流域产水功能时空变化及驱动因素分析

doi:10.13249/j.cnki.sgs.2023.03.004

地理科学 ›› 2023, Vol. 43 ›› Issue (3): 411-422.doi: 10.13249/j.cnki.sgs.2023.03.004

• 青藏高原土地利用变化及其生态环境效应专栏 • 上一篇下一篇

基于InVEST模型的青海湖流域产水功能时空变化及驱动因素分析

刘美娟¹^,²(), 仲俊涛¹^,²(), 王蓓³, 米文宝⁴

1.青海师范大学地理科学学院，青海西宁 810008
2.青海省自然地理与环境过程重点实验室，青海西宁 810008
3.兰州大学资源环境学院，甘肃兰州 730000
4.宁夏大学地理科学与规划学院，宁夏银川 750021

收稿日期:2022-07-07 修回日期:2022-11-20 发布日期:2023-03-20 出版日期:2023-03-30
通讯作者: 仲俊涛。zhongjuntao88@163.com
作者简介:刘美娟（1996—），女，河南商丘人，硕士研究生，研究方向为遥感信息分析及地学应用。E-mail: l15937589665@163.com
基金资助:
国家自然科学基金项目(42001263);青海省自然科学基金项目(2022-ZJ-906)

Spatiotemporal change and driving factor analysis of the Qinghai Lake Basin based on InVEST model

Liu Meijuan¹^,²(), Zhong Juntao¹^,²(), Wang Bei³, Mi Wenbao⁴

1. School of Geography, Qinghai Normal University, Xining 810008, Qinghai, China
2. Key Laboratory of Natural Geography and Environmental Process of Qinghai Province, Xining 810008, Qinghai, China
3. School of Resources and Environment, Lanzhou University, Lanzhou 730000, Gansu, China
4. School of Geographic Science and Planning, Ningxia University, Yinchuan 750021, Ningxia, China

Received:2022-07-07 Revised:2022-11-20 Online:2023-03-20 Published:2023-03-30
Supported by:
National Natural Science Foundation of China(42001263);Natural Science Foundation of Qinghai Province(2022-ZJ-906)

摘要/Abstract

摘要：

以青海湖流域为研究区，基于1985—2020年8期土地利用图，结合地形、土壤和气象等数据，运用本地化修正后的InVEST模型及地理探测器方法，模拟流域产水服务、评估产水量空间分异特征、剖析其空间异质性归因。结果显示：青海湖流域1985—2020年产水量变化区间为11.68~81.52亿m³，变化趋势明显，表现为先下降后上升、再下降后上升的“W”型变化趋势；产水深度在空间分布上表现为东南高西北低，高值区均集中在海晏县内；垂直梯度上，产水能力随海拔增加而减弱；地理探测结果显示单因子对产水服务空间分异的解释能力存在显著差异，在不同分区中以气候类因子解释力最为显著；产水服务空间分异的影响程度由多因子共同决定，整体上以降水与实际蒸散量的交互作用解释力为主导因子。

关键词: InVEST模型, 地理探测器, 产水量, 青海湖流域

Abstract:

The function of water production is an important manifestation of ecosystem service. Water resources and ecosystem have two-way influence. Dynamic identification of spatial differentiation characteristics and driving factors of water production service is of great significance to adjusting infrastructure allocation, optimizing water resources management and protecting regional ecosystem. Taking the Qinghai Lake Basin as the research area, based on the land use of the 8th phase of 1985—2020, combined with terrain, soil and meteorological data, the localized modified InVEST model and geographical detector method were used to simulate the basin water production service, evaluate the spatial differentiation characteristics of water yield, and analyze its spatial heterogeneity attribution. The results show that the change range of water yield in the Qinghai Lake Basin from 1985 to 2020 is 1.168 to 8.152 billion m³. The change trend is obvious, it is the "W" type change trend of falling first and then rising, and then rising after falling; The spatial distribution of water production depth is high in southeast and low in northwest, High-value areas are all concentrated in Haiyan County; On a vertical gradient, Water production capacity decreases with increasing altitude; Geodetection results showed significant differences in the ability of single factorial to explain spatial differentiation of water production services, In different partitions, the explanatory force of climate factors is the most significant; the influence degree of spatial differentiation of water production service is determined by multiple factors, and the interaction explanatory force of precipitation and actual evapotranspiration is the dominant factor.

Key words: InVEST model, geographical detector, water yield, the Qinghai Lake Basin

中图分类号:

K901.2

刘美娟, 仲俊涛, 王蓓, 米文宝. 基于InVEST模型的青海湖流域产水功能时空变化及驱动因素分析[J]. 地理科学, 2023, 43(3): 411-422.

Liu Meijuan, Zhong Juntao, Wang Bei, Mi Wenbao. Spatiotemporal change and driving factor analysis of the Qinghai Lake Basin based on InVEST model[J]. SCIENTIA GEOGRAPHICA SINICA, 2023, 43(3): 411-422.

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类型	指标	数据类型	类型	指标	数据类型
气候	年均温	连续	土地利用	土地利用类型	离散
	年总降水量	连续		香农多样性指数	连续
	年实际蒸散量	连续		蔓延度指数	连续
地形地貌	高程	连续		有效粒度尺寸	连续
地形地貌	坡度	连续		耕地	连续
土壤	土壤类型	离散		林草地	连续
植被	归一化植被指数	连续		水体及湿地	连续
				冰雪地	连续

基于InVEST模型的青海湖流域产水功能时空变化及驱动因素分析

Spatiotemporal change and driving factor analysis of the Qinghai Lake Basin based on InVEST model

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