哈尔滨市产水量时空变化及其驱动力

祁玉馨; 胡远东

doi:10.13961/j.cnki.stbctb.20230814.001

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哈尔滨市产水量时空变化及其驱动力

试验研究

- 哈尔滨市产水量时空变化及其驱动力
- Spatial-temporal Variation and Driving Forces of Water Yield in Harbin City
- 水土保持通报 2023年43卷第6期页码：294-303
- 作者机构：
  
  东北林业大学园林学院,黑龙江,哈尔滨,150040
- 作者简介：
- 基金信息：
  
  黑龙江省重点研发计划指导类项目“黑龙江生态产品总值核算”（GZ20220117）
- DOI：10.13961/j.cnki.stbctb.20230814.001
  中图分类号： X171.1
- 纸质出版：2023
- 稿件说明：
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祁玉馨, 胡远东. 哈尔滨市产水量时空变化及其驱动力[J]. 水土保持通报, 2023,43(6):294-303.

Qi Yuxin, Hu Yuandong. Spatial-temporal Variation and Driving Forces of Water Yield in Harbin City[J]. Bulletin of Soiland Water Conservation, 2023, 43(6): 294-303.
祁玉馨, 胡远东. 哈尔滨市产水量时空变化及其驱动力[J]. 水土保持通报, 2023,43(6):294-303. DOI： 10.13961/j.cnki.stbctb.20230814.001.

Qi Yuxin, Hu Yuandong. Spatial-temporal Variation and Driving Forces of Water Yield in Harbin City[J]. Bulletin of Soiland Water Conservation, 2023, 43(6): 294-303. DOI： 10.13961/j.cnki.stbctb.20230814.001.

摘要

[目的

]

探讨2000—2020年黑龙江省哈尔滨市产水服务的时空变化特征，揭示哈尔滨市产水量时空分异特征的驱动机制，为该市水资源管理及可持续发展提供科学依据。[方法

]

选取中国典型的寒地城市哈尔滨市作为研究区，基于InVEST模型产水量模块对2000，2010和2020年的产水量时空变化特征进行分析，并利用参数最优地理探测器揭示哈尔滨市产水量时空演变的驱动因素。[结果

]

①2000—2020年哈尔滨市产水量呈逐年增长趋势，产水量由2000年的9.68×10

增长至2020年的2.23×10

。不同年份产水量的空间分布格局基本相似，在空间上整体表现为“东高西低”的分布特征。②研究区产水量的分布存在显著的空间正相关，以“低—低聚集”和“高—高聚集”类型为主，2000—2020年，二者面积占全市总面积的比例呈下降趋势。③各驱动因素对产水量的影响具有明显的空间异质性，实际蒸散发量和土地利用类型是经济质量发展区的主要驱动因子，而在自然主导的生态屏障区，二者的综合驱动力远不及经济质量发展区。[结论

]

产水量评估作为水源涵养研究的基础，与生态系统服务和生态产品价值密切相关。2000—2020年哈尔滨市产水量时空格局变化显著，气象和土地利用因子是其主要驱动因子。

Abstract

[Objective] The spatial-temporal variation characteristics of water yield services in Harbin City

Heilongjiang Province from 2000 to 2020 were determined

and the driving mechanism of the spatial-temporal differentiation characteristics of Harbin City's water yield was analyzed in order to provide a scientific basis for the management and sustainable development of water resources in Harbin City. [Methods] The study was conducted in Harbin City

a typical cold land city. The spatial-temporal variation characteristics of water yield in 2000

2010

and 2020 were analyzed based on the InVEST model's water yield module

and the spatial and temporal evolution of water yield services in Harbin City was determined by using a parameter optimal geographic detector. [Results] ① The water output of Harbin City from 2000 to 2020 increased from 9.68×109 m3 in 2000 to 2.23×1010 m3 in 2020. The spatial distribution pattern of water yield in different years was basically similar. The overall spatial distribution of water yield was characterized as "higher in the east and lower in the west". ② There was a strong positive spatial correlation in the distribution of water yield in the study area

with the main types being low-low aggregation and high-high aggregation. The proportions of the two areas relative to the city's total area showed a downward trend from 2000 to 2020. ③ The influence of each driving factor on water yield exhibited obvious spatial heterogeneity. Actual evapotranspiration and land use type were the main driving factors of the economic quality development zones. In the nature-dominated ecological barrier area

the comprehensive driving forces of actual evapotranspiration and land use type were far less than in the economic quality development area. [Conclusion] Water yield assessment was closely related to ecosystem services and ecological product value

and serves as the basis of water conservation research. The temporal and spatial changes of water production in Harbin City from 2000 to 2020 were significant

and meteorological and land use factors were the main driving factors.

关键词

Keywords

references

赵士洞.新千年生态系统评估:背景、任务和建议[J].第四纪研究,2001,21(4):330-336.

Sánchez-Canales M, Benito A L, Passuello A, et al.Sensitivity analysis of ecosystem service valuation in a Mediterranean watershed [J].Science of the Total Environment, 2012,440:140-153.

Chahine M T.The hydrological cycle and its influence on climate [J].Nature, 1992,359(6394):373-380.

Rohatyn S, Rotenberg E, Ramati E, et al.Differential impacts of land use and precipitation on "ecosystem water yield" [J].Water Resources Research, 2018,54(8):5457-5470.

Ellison D, N.Futter M, Bishop K.On the forest cover-water yield debate:from demand-to supply-side thinking [J].Global Change Biology, 2012,18(3):806-820.

Pei Hongwei, Liu Mengzhu, Shen Yanjun, et al.Quantifying impacts of climate dynamics and land-use changes on water yield service in the agro-pastoral ecotone of Northern China [J].Science of the Total Environment, 2022,809:151153.

Sharp R, Tallis H T.Ricketts T, et al.InVEST 3.2.0 User's Guide [M].The Natural Capital Project, Stanford University,University of Minnesota.The Nature Conservancy, and World Wildlife Fund,2018.

Bai Yang, Ochuodho T O, Yang Jian.Impact of land use and climate change on water-related ecosystem services in Kentucky, USA [J].Ecological Indicators, 2019,102:51-64.

Sun X, Crittenden J C, Li F, et al.Urban expansion simulation and the spatio-temporal changes of ecosystem services, a case study in Atlanta Metropolitan area, USA [J].Science of the Total Environment, 2018,622/623:974-987.

Ashrafi S, Kerachian R, Pourmoghim P, et al.Evaluating and improving the sustainability of ecosystem services in river basins under climate change [J].Science of the Total Environment, 2022,806:150702.

Xue Jian, Li Zongxing, Feng Qi, et al.Spatiotemporal variations of water conservation and its influencing factors in ecological barrier region, Qinghai-Tibet Plateau [J].Journal of Hydrology:Regional Studies, 2022,42:101164.

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.

杜佳衡,王锦.基于InVEST模型的大理州永平县水生态系统服务功能时空变化分析[J].西部林业科学,2021,50(6):91-102.

王亚慧,戴尔阜,马良,等.横断山区产水量时空分布格局及影响因素研究[J].自然资源学报,2020,35(2):371-386.

吴健,李英花,黄利亚,等.东北地区产水量时空分布格局及其驱动因素[J].生态学杂志,2017,36(11):3216-3223.

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.

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.

郑续,魏乐民,郭建军,等.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.

刘水清,周祖昊,刘佳嘉,等.基于冻土水文模拟的松花江流域水资源演变规律[J].南水北调与水利科技(中英文),2023,21(1):127-136.

王宁,臧淑英,张丽娟.近50年来黑龙江省冻土厚度的时空变化特征[J].地理研究,2018,37(3):622-634.

金会军,李述训,王绍令,等.气候变化对中国多年冻土和寒区环境的影响[J].地理学报,2000,55(2):161-173.

丛东来,于少鹏,陈曦,等.哈尔滨市水资源开发利用与城镇化发展的响应关系[J].水土保持通报,2020,40(1):269-275.

Yang Shiliang, Bai Yang, Alatalo J M, et al.Spatio-temporal changes in water-related ecosystem services provision and trade-offs with food production [J].Journal of Cleaner Production, 2021,286:125316.

Zhou Wenzuo, Liu Gaohuan, Pan Jianjun, et al.Distribution of available soil water capacity in China [J].Journal of Geographical Sciences, 2005,15(1):3-12.

朱增云,阿里木江·卡斯木.干旱区绿洲城市生态系统服务价值空间自相关格局分析与模拟[J].生态与农村环境学报,2019,35(12):1531-1540.

张耀文,张勃,姚荣鹏,等.2000-2020年渭河流域植被覆盖度及产水量时空变化[J].中国沙漠,2022,42(2):223-233.

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.

闫桂霞,李登华.1961-2006年我国水面蒸发时空变化特征分析[J].水电能源科学,2015,33(10):1-5.

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