黑河中游土地利用与景观格局的水文效应分析

doi:10.16843/j.sswc.2019.01.009

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Abstract [Background] Regional land use and the pattern of landscape have an important influence on hydrological effects. Previous studies on the influence mechanism of water yield focused on the land use area, but take little consideration about landscape pattern.[Methods] This study was conducted in the middle reaches of Heihe River, which locates in the arid area of Northwest China. Based on the land use data (2000, 2010, and 2014), climate data (1999-2015) and basic geographic information data, this study established InVEST model to simulate the water yield. On the scale of land use, considering the spatial factors, this study analyzed the effects of land use types on water yield by means of ordinary least squares regression model, spatial regression model and geographically weighted regression model. On the scale of landscape, combining principal component analysis to screen landscape index, this study further analyzed the effects of landscape pattern on water yield.[Results] 1) The middle reaches of Heihe River had more water yield in the southeast, less in the northwest, and the water yield in 2000, 2010, and 2014 was 1.73×10⁸ m³、1.63×10⁸ m³、1.38×10⁸ m³ respectively. 2) On the scale of land use, the regression coefficients of wood land, water and farmland were all greater than 0, and the coefficients of construction land and bare land were all less than 0. On the scale of landscape, the regression coefficient of the first principal component which was mainly explained by landscape richness and evenness was greater than 0, and the coefficient of the second principal component explained by area standard deviation was less than 0. Water yield is promoted in wood land, water and farmland, but reduced in construction land and bare land. 3) The Moran's I of residual of ordinary least squares regression model and spatial error model was -0.43 (P=0.03), 0.12 (P=0.11) respectively. The R² of ordinary least squares regression model, spatial regression model and geographically weighted regression model was 0.59, 0.71, 0.90 respectively. On landscape scale, the more abundant the landscape types, the more evenly the patches distribute, the more conducive to water yield, while conversely, water yield is suppressed. The spatial regression model eliminates the negative spatial correlation of regression residuals. Geographically weighted regression improves the model performance.[Conclusions] The middle reaches of Heihe River have a decreasing trend with the increase of the year, which is directly related to the change of local land use and landscape pattern. These results may provide reference for regional ecosystem management.

Key words： land use landscape pattern hydrological effect InVEST model regression analysis the middle reaches of the Heihe River

Received: 18 October 2017

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P942

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	JIANG Song
	MENG Jijun
	CHEN Yiyun

Cite this article:

JIANG Song,MENG Jijun,CHEN Yiyun. Analysis of hydrological effects of land use and landscape pattern in the middle reaches of Heihe River[J]. SSWC, 2019, 17(1): 64-73.

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http://journal12.magtechjournal.com/Jweb_stbc/EN/10.16843/j.sswc.2019.01.009 OR http://journal12.magtechjournal.com/Jweb_stbc/EN/Y2019/V17/I1/64

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