干旱区研究

Arid Zone Research >

2024 , Vol. 41 >Issue 5: 776 - 787

DOI: https://doi.org/10.13866/j.azr.2024.05.06

Land and Water Resources

Spatiotemporal evolution of water yield in the lower Malian River Basin

  • GAO Yayu ,
  • SONG Yu ,
  • ZHAO Tinghong ,
  • GAO Jinfang ,
  • HE Wenbo ,
  • LI Zexia
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  • 1. College of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou 730050, Gansu, China
    2. Gansu Institute of Soil & Water Conservation Sciences, Lanzhou 730020, Gansu, China

Received date: 2023-12-13

  Revised date: 2024-01-30

  Online published: 2024-05-29

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Abstract

This study examines water yield patterns in the lower reaches of the Malian River Basin, which are typical loess plateau gully areas in eastern Gansu Province, China. These areas are crucial for regional ecosystem health and understanding the temporal and spatial characteristics and response of water yield considering climate and land-use changes. Employing the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model, we quantitatively assess the spatial and temporal patterns of water yields across four years: 1990, 2000, 2010, and 2020. Spatial heterogeneity in water yield across the lower reaches of the Malian River Basin was assessed using geographic detection techniques. Analysis revealed a fluctuating trend in total water yield from 1990 to 2020, characterized by an initial decrease, followed by an increase, and finally another decrease. Compared to 1990, total water yield in 2020 declined by 5.9×107 m3 (25.43% reduction). Furthermore, spatial analysis revealed a distinct pattern in water yield distribution across the basin. Higher water yield was observed in the southern and marginal areas, whereas lower yield characterized the northern and central regions. Land-use type significantly influenced water yield capacity. Ranked from highest to lowest, the order was as follows: construction land>bare land>agricultural land>low-coverage grassland>high-coverage grassland>shrub land>forest land>open water. Moreover, a significant positive correlation was identified between water yield and precipitation, suggesting that precipitation plays a key role in water production. Conversely, a negative correlation emerged between actual evapotranspiration and altitude. Our analysis identified precipitation and actual evapotranspiration as the primary drivers of spatial variations and temporal changes in water yield, with q values ranging from 0.616 to 0.735 and 0.517 to 0.653, respectively. These findings provide valuable scientific evidence to support the development, utilization, and management of soil and water resources in the loess plateau of eastern Gansu.

Key words： InVEST model; water yield; spatiotemporal evolution; lower Malian River Basin

Cite this article

GAO Yayu , SONG Yu , ZHAO Tinghong , GAO Jinfang , HE Wenbo , LI Zexia . Spatiotemporal evolution of water yield in the lower Malian River Basin[J]. Arid Zone Research, 2024 , 41(5) : 776 -787 . DOI: 10.13866/j.azr.2024.05.06

References

[1] Liu J, Li J, Qin K, et al. Changes in land-uses and ecosystem services under multi-scenarios simulation[J]. Science of the Total Environment, 2017, 586, 522-526.
[2] Lang Y, Song W, Deng X. Projected land use changes impacts on water yields in the karst mountain areas of China[J]. Physics and Chemistry of the Earth, Parts A/B/C, 2018, 104: 66-75.
[3] 戴尔阜, 王晓莉, 朱建佳, 等. 生态系统服务权衡/协同研究进展与趋势展望[J]. 地球科学进展, 2015, 30(11): 1250-1259.
  [Dai Erfu, Wang Xiaoli, Zhu Jianjia, et al. Progress and perspective on ecosystem services trade-offs[J]. Advances in Earth Science, 2015, 30(11): 1250-1259.]
[4] Wang Y, Ye A, Peng D, et al. Spatiotemporal variations in water conservation function of the Tibetan Plateau under climate change based on InVEST model[J]. Journal of Hydrology: Regional Studies, 2022, 41: 101064.
[5] Sun S, Sun G, Cohen E, et al. Projecting water yield and ecosystem productivity across the United States by linking an ecohydrological model to WRF dynamically downscaled climate data[J]. Hydrology and Earth System Sciences, 2016, 20(2): 935-952.
[6] 孙琪, 徐长春, 任正良, 等. 塔里木河流域产水量时空分布及驱动因素分析[J]. 灌溉排水学报, 2021, 40(8): 114-122.
  [Sun Qi, Xu Changchun, Ren Zhengliang, et al. Spatiotemporal variation in water yield and their underlying mechanisms in Tarim River Basin[J]. Journal of Irrigation and Drainage, 2021, 40(8): 114-122.]
[7] 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.
  [Wu Jian, Li Yinghua, Huang Liya, et al. Spatiotemporal variation of water yield and its driving factors in Northeast China[J]. Chinese Journal of Ecology, 2017, 36(11): 3216-3223.]
[8] Nahib I, Ambarwulan W, Rahadiati A, et al. Assessment of the impacts of climate and LULC changes on the water yield in the Citarum River Basin, West Java Province, Indonesia[J]. Sustainability, 2021, 13(7): 3919.
[9] Pérez-Cutillas P, Banos Paez P, Banos-González I. Variability of water balance under climate change scenarios. Implications for sustainability in the Rh?ne River Basin[J]. Sustainability, 2020, 12(16): 6402.
[10] Wang X, Liu G, Lin D, et al. Water yield service influence by climate and land use change based on InVEST model in the monsoon hilly watershed in South China[J]. Geomatics, Natural Hazards and Risk, 2022, 13(1): 2024-2048.
[11] 赵美亮, 曹广超, 赵青林, 等. 气候及土地利用变化对大通河源区水文要素空间分布的影响[J]. 干旱区研究, 2023, 40(3): 381-391.
  [Zhao Meiliang, Cao Guangchao, Zhao Qinglin, et al. Effects of climate and land use change on the spatial distribution of hydrological factors in the source region of Datong River[J]. Arid Zone Research, 2023, 40(3): 381-391.]
[12] 刘斯文, 刘海隆, 王玲. MIKE SHE模型的发展与应用研究[J]. 水文, 2018, 38(5): 23-28.
  [Liu Siwen, Liu Hailong, Wang Ling. Development and application of MIKE SHE model[J]. Journal of China Hydrology, 2018, 38(5): 23-28.]
[13] Zhou S, Wang Y, Guo A, et al. Impacts of changes in the watershed partitioning level and optimization algorithm on runoff simulation: Decomposition of uncertainties[J]. Stochastic Environmental Research and Risk Assessment, 2020, 34: 1909-1923.
[14] 雷馨, 海新权. 祁连山地区土地利用变化对碳储量的影响及经济价值估算[J]. 干旱区研究, 2023, 40(11): 1845-1854.
  [Lei Xin, Hai Xinquan. Impacts of land use change on carbon storage and estimation of economic value in Qilian Mountain region[J]. Arid Zone Research, 2023, 40(11): 1845-1854.]
[15] Redhead J W, Stratford C, Sharps K, et al. Empirical validation of the InVEST water yield ecosystem service model at a national scale[J]. Science of the Total Environment, 2016, 569: 1418-1426.
[16] Belete M, Deng J, Wang K, et al. Evaluation of satellite rainfall products for modeling water yield over the source region of Blue Nile Basin[J]. Science of the Total Environment, 2020, 708: 134834.
[17] Wang Y, Wang H, Zhang J, et al. Exploring interactions in water-related ecosystem services nexus in Loess Plateau[J]. Journal of Environmental Management, 2023, 336: 117550.
[18] 包玉斌, 李婷, 柳辉, 等. 基于InVEST模型的陕北黄土高原水源涵养功能时空变化[J]. 地理研究, 2016, 35(4): 664-676.
  [Bao Yubin, Li Ting, Liu Hui, et al. Spatial and temporal changes of water conservation of Loess Plateau in northern Shaanxi Province by InVEST model[J]. Geographical Research, 2016, 35(4): 664-676.]
[19] 刘宥延, 刘兴元, 张博, 等. 基于InVEST模型的黄土高原丘陵区水源涵养功能空间特征分析[J]. 生态学报, 2020, 40(17): 6161-6170.
  [Liu Youyan, Liu Xingyuan, Zhang Bo, et al. Spatial features analysis of water conservation function in the hilly areas of the Loess Plateau based on InVEST model[J]. Acta Ecologica Sinica, 2020, 40(17): 6161-6170.]
[20] 王雨山, 程旭学, 张梦南. 马莲河流域河水化学特征和化学风化过程分析[J]. 地球与环境, 2018, 46(1): 15-22.
  [Wang Yushan, Cheng Xuxue, Zhang Mengnan. Hydrochemistry and chemical weathering processes of Malian River Basin[J]. Earth and Environment, 2018, 46(1): 15-22.]
[21] 彭世想, 郭相秦, 刘卓, 等. 马莲河流域水沙变化与水土保持成效分析[J]. 中国水土保持, 2020 (11): 29-31, 48.
  [Peng Shixiang, Guo Xiangqin, Liu Zuo, et al. Analysis on water and sediment change and soil and water conservation effect in Malian River Watershed[J]. Soil and Water Conservation in China, 2020(11): 29-31, 48.]
[22] 龚诗涵, 肖洋, 郑华, 等. 中国生态系统水源涵养空间特征及其影响因素[J]. 生态学报, 2017, 37(7): 2455-2462.
  [Gong Shihan, Xiao Yang, Zheng Hua, et al. Spatial patterns of ecosystem water conservation in China and its impact factors analysis[J]. Acta Ecologica Sinica, 2017, 37(7): 2455-2462.]
[23] Hu W, Li G, Li Z. Spatial and temporal evolution characteristics of the water conservation function and its driving factors in regional lake wetlands—Two types of homogeneous lakes as examples[J]. Ecological Indicators, 2021, 130: 108069.
[24] Yan F, Shangguan W, Zhang J, et al. Depth-to-bedrock map of China at a spatial resolution of 100 meters[J]. Scientific Data, 2020, 7(1): 2.
[25] 周文佐. 基于GIS的我国主要土壤类型土壤有效含水量研究[D]. 南京: 南京农业大学, 2003.
  [Zhou Wenzuo. A Study on Available Water Capacity of Main Soil Types in China Based on Geographic Information System[D]. Nanjing: Nanjing Agricultural University, 2003.]
[26] 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.]
[27] Moriasi D N, Gitau M W, Pai N, et al. Hydrologic and water quality models: Performance measures and evaluation criteria[J]. Transactions of the ASABE, 2015, 58(6): 1763-1785.
[28] 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.
  [Zheng Xu, Wei Lemin, Guo Jianjun, et al. 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.]
[29] 郭倩. 全球气候变化背景下土地利用和流域水生态系统响应研究[D]. 兰州: 兰州大学, 2022.
  [Guo Qian. The Responses of Land Use and Watershed Water-related Ecosystem under Global Climate Change[D]. Lanzhou: Lanzhou University, 2022.]
[30] 杨洁, 谢保鹏, 张德罡. 基于InVEST模型的黄河流域产水量时空变化及其对降水和土地利用变化的响应[J]. 应用生态学报, 2020, 31(8): 2731-2739.
  [Yang Jie, Xie Baopeng, Zhang Degang. Spatio-temporal variation of water yield and its response to precipitation and land use change in the Yellow River Basin based on InVEST model[J]. Chinese Journal of Applied Ecology, 2020, 31(8): 2731-2739.]
[31] 赖明, 陈仁升, 刘玖芬, 等. 雅鲁藏布江下游产水量时空演变及对气候和土地利用变化的响应[J]. 草业科学, 2022, 39(12): 2516-2526.
  [Lai Ming, Chen Rensheng, Liu Jiufen, et al. Temporal and spatial evolution of water yield in the lower reaches of the Yarlung Zangbo River and its response to climate and land use change[J]. Pratacultural Science, 2022, 39(12): 2516-2526.]
[32] 刘美娟, 仲俊涛, 王蓓, 等. 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, et al. Spatiotemporal change and driving factor analysis of the Qinghai Lake Basin based on InVEST model[J]. Scientia Geographica Sinica, 2023, 43(3): 411-422.]
[33] 董玉婷, 穆兴民, 王双银, 等. 产流及其研究进展[J]. 华北水利水电大学学报(自然科学版), 2022, 43(2): 21-29.
  [Dong Yuting, Mu Xingmin, Wang Shuangyin, et al. Runoft ceneration and its research progress[J]. Journal of North China University of Water Resources and Electric Power (Natural Science Edition), 2022, 43(2): 21-29.]
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