Climatology and Hydrology

Spatiotemporal change of groundwater drought in the plain area of Xinjiang based on GRACE and its response to meteorological drought

  • GONG Dongdong ,
  • GAO Fan ,
  • WU Bin ,
  • LIU Kun
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  • 1. School of Water Resources and Civil Engineering, Xinjiang Agricultural University, Urumqi 830052, Xinjiang, China
    2. Xinjiang Key Laboratory of Water Conservancy Engineering Safety and Water Disaster Prevention and Control, Urumqi 830052, Xinjiang, China

Received date: 2023-11-01

  Revised date: 2024-02-05

  Online published: 2024-09-24

Abstract

Groundwater resources had an important function of safeguarding resources and maintained ecological security. As global warming and the intensity of human activities increased, the amount of groundwater resources in the plain area of Xinjiang was on a decreasing trend, further aggravaed the risk of groundwater drought. Revealing the spatiotemporal variation’s characteristics of groundwater drought in the plain area of Xinjiang and its responsed to meteorological drought was great of significance for regional economic sustainable development and ecosystem security. This article estimated the changes in groundwater storage in the plain area of Xinjiang from 2003 to 2022 based on GRACE and GLDAS data; On this basis, standardized the changes in groundwater storage and constructed a groundwater drought index; analyzed the spatiotemporal variation’s characteristics of groundwater drought in the plain area of Xinjiang. Finally, used the maximum correlation method to analyze the responsive relationship between groundwater drought and meteorological drought. (1) The change of groundwater storage in the plain area of Xinjiang showed a decreasing trend, with a decreasing rate of 0.60 cm·a-1, and the areas with more obvious decreases were mainly concentrated in the pre-mountain plain of the Tianshan Mountains region, while the rising areas were mainly concentrated in the pre-mountain plain of the northern foothills of the Kunlun Mountains and the pre-mountain plain of the southern foothills of the Altay Mountains. (2) Groundwater drought index monitored that there were 13 and 8 months of groundwater drought events in the plain area of Xinjiang from April 2014 to April 2015, and from May 2022 to December 2022, respectively. Overall, the frequency of groundwater drought in the plain area of Xinjiang was 0.21, the average intensity of groundwater drought was 1.0-2.0, and the average duration of groundwater drought was 4-28 months; Among them, the areas with an average drought duration of 4-10 months, 11-16 months, 17-22 months, and 23-28 months was 80.68%, 9.54%, 4.15%, and 5.63%, respectively. (3) The average responsive time of groundwater drought to meteorological drought in the plain area of Xinjiang was 18 months; the proportion of the area with responsive time of 1-3 months, 4-6 months, 7-9 months, 10-12 months, and 13-24 months was 11.00%, 2.13%, 2.75%, 2.00%, and 82.12%, respectively. Among them, the responsive time in the pre-mountain plain of the northern foothills of the Tianshan Mountains showed an increasing trend in the last 20 years, with the responsive time increasing from 1-3 months to 18-24 months, while the responsive time in some areas of the pre-mountain plain of the northern foothills of the Kunlun Mountains slowed down from 9-12 months to 1-3 months first, and then prolonged to 12-24 months.

Cite this article

GONG Dongdong , GAO Fan , WU Bin , LIU Kun . Spatiotemporal change of groundwater drought in the plain area of Xinjiang based on GRACE and its response to meteorological drought[J]. Arid Land Geography, 2024 , 47(9) : 1496 -1507 . DOI: 10.12118/j.issn.1000-6060.2023.618

References

[1] 李福林, 陈华伟, 王开然, 等. 地下水支撑生态系统研究综述[J]. 水科学进展, 2018, 29(5): 750-758.
  [Li Fulin, Chen Huawei, Wang Kairan, et al. Comprehensive review of groundwater-dependent ecosystems[J]. Advances in Water Science, 2018, 29(5): 750-758.]
[2] Goodarzi M, Abedi-Koupai J, Heidarpour M, et al. Development of a new drought index for groundwater and its application in sustainable groundwater extraction[J]. Journal of Water Resources Planning and Management, 2016, 142(9): 04016032, doi: 10.1061/(ASCE)WR.1943-5452.0000673.
[3] Vanlanen H, Peters E. Definition, effects and assessment of groundwater droughts[M]. Dordrecht: Springer Netherlands, 2000: 49-61.
[4] Wada Y. Past and future contribution of global groundwater depletion to sea-level rise[J]. Geophysical Research Letters, 2012, 39(9): L09402, doi: 10.1029/2012GL051230.
[5] Tian Y M, Yang Y Q, Bao Z X, et al. An analysis of the impact of groundwater overdraft on runoff generation in the north China plain with a hydrological modeling framework[J]. Water, 2022, 14(11): 1758, doi: 10.3390/w14111758.
[6] Organization W M. Drought monitoring and warning: Concepts, progress and future challenges[M]. Beijing: WMO Publication, 2006, 1006: 6-9.
[7] 粟晓玲, 姜田亮, 牛纪苹. 生态干旱的概念及研究进展[J]. 水资源保护, 2021, 37(4): 15-21, 28.
  [Su Xiaoling, Jiang Tianliang, Niu Jiping. Concept and research progress of ecological drought[J]. Water Resources Protection, 2021, 37(4): 15-21, 28.]
[8] 韩知明. 中国多类型干旱时空演变特征及其传播过程研究[D]. 西安: 西安理工大学, 2022.
  [Han Zhiming. Study on the evolution characteristics and propagation process of multi-type drought in China[D]. Xi’an: Xi’an University of Technology, 2022.]
[9] 粟晓玲, 褚江东, 张特, 等. 西北地区地下水干旱时空演变趋势及对气象干旱的动态响应[J]. 水资源保护, 2022, 38(1): 34-42.
  [Su Xiaoling, Chu Jiangdong, Zhang Te, et al. Spatio-temporal evolution trend of groundwater drought and its dynamic response to meteorological drought in northwest China[J]. Water Resources Protection, 2022, 38(1): 34-42.]
[10] 姜田亮. 西北地区生态干旱时空演变特征及其对气象干旱和地下水干旱的响应[D]. 咸阳: 西北农林科技大学, 2022.
  [Jiang Tianliang. Spatio-temporal evolution characteristics of ecological drought in northwestern China and its response to meteorological drought and groundwater drought[D]. Xianyang: Northwest A & F University, 2022.]
[11] 艾启阳, 粟晓玲, 张更喜, 等. 标准化地下水指数法分析黑河中游地下水时空演变规律[J]. 农业工程学报, 2019, 35(10): 69-74.
  [Ai Qiyang, Su Xiaoling, Zhang Gengxi, et al. Analysis of spatiotemporal evolution of groundwater in the middle reaches of the Heihe River using standardized groundwater index method[J]. Transactions of the Chinese Society of Agricultural Engineering, 2019, 35(10): 69-74.]
[12] Hasan E, Tarhule A, Hong Y, et al. Assessment of physical water scarcity in Africa using GRACE and TRMM satellite data[J]. Remote Sensing, 2019, 11(8): 904, doi: 10.3390/rs11080904.
[13] Sun Z L, Zhu X F, Pan Y Z, et al. Drought evaluation using the GRACE terrestrial water storage deficit over the Yangtze River Basin, China[J]. Science of the Total Environment, 2018, 634: 727-738.
[14] Thomas B F, Famiglietti J S, Landerer F W, et al. GRACE groundwater drought index: Evaluation of California central valley groundwater drought[J]. Remote Sensing of Environment: An Interdisciplinary Journal, 2017, 198: 384-392.
[15] Ali S. 区域地下水储量与干旱时空变化特征研究[D]. 哈尔滨: 东北农业大学, 2023.
  [Ali S. Research on the temporal and spatial variation characteristics of regional groundwater storage and drought[D]. Harbin: Northeast Forestry University, 2023.]
[16] Wang F, Lai H, Li Y, et al. Identifying the status of groundwater drought from a GRACE mascon model perspective across China during 2003—2018[J]. Agricultural Water Management, 2022, 260: 107251, doi: 10.1016/j.agwat.2021.107251.
[17] Han Z M, Huang S Z, Huang Q, et al. Propagation dynamics from meteorological to groundwater drought and their possible influence factors[J]. Journal of Hydrology, 2019, 578: 124102, doi: 10.1016/j.jhydrol.2019.124102.
[18] 程维明, 柴慧霞, 方月, 等. 基于水资源分区和地貌特征的新疆耕地资源变化分析[J]. 自然资源学报, 2012, 27(11): 1809-1822.
  [Cheng Weiming, Chai Huixia, Fang Yue, et al. Analysis of cultivated land based on water regionalization and geomorphologic characteristics in Xinjiang, China[J]. Journal of Natural Resources, 2012, 27(11): 1809-1822.]
[19] 新疆维吾尔自治区水利厅. 新疆水资源公报[R]. 乌鲁木齐: 新疆维吾尔自治区水利厅, 2021.
  [Department of Water Resources of Xinjiang Uygur Autonomous Region. Xinjiang water resources bulletin[R]. Urumqi: Department of Water Resources of Xinjiang Uygur Autonomous Region, 2021.]
[20] 陈春波, 李刚勇, 彭建. 1981—2018年新疆草地归一化植被指数时空特征及其对气候变化的响应[J]. 生态学报, 2023, 43(4): 1537-1552.
  [Chen Chunbo, Li Gangyong, Peng Jian. The spatio-temporal characteristics of Xinjiang grassland NDVI and its response to climate change from 1981 to 2018[J]. Acta Ecologica Sinica, 2023, 43(4): 1537-1552.]
[21] 徐颂. 丝绸之路经济带新疆段山地冰川变化及对气候的响应[D]. 济南: 山东师范大学, 2023.
  [Xu Song. Changes of mountain glaciers and their response to climate in Xinjiang section of the Silk Road Economic Belt[D]. Jinan: Shandong Normal University, 2023.]
[22] 党学亚, 张俊, 常亮, 等. 西北地区水文地质调查与水资源安全[J]. 西北地质, 2022, 55(3): 81-95.
  [Dang Xueya, Zhang Jun, Chang Liang, et al. Hydrogeological survey and water resource security in northwest China[J]. Northwestern Geology, 2022, 55(3): 81-95.]
[23] 吴彬, 杜明亮, 穆振侠, 等. 1956—2016年新疆平原区地下水资源量变化及其影响因素分析[J]. 水科学进展, 2021, 32(5): 659-669.
  [Wu Bin, Du Mingliang, Mu Zhenxia, et al. Analysis of changes in groundwater resources and their influencing factors in the plain areas of Xinjiang from 1956 to 2016[J]. Advances in Water Science, 2021, 32(5): 659-669.]
[24] Zhong Y L, Feng W, Humpherey V, et al. Human-induced and climate-driven contributions to water storage variations in the Haihe River Basin, China[J]. Remote Sensing, 2019, 11(24): 3050, doi: 10.3390/rs11243050.
[25] 王文, 汪小菊, 王鹏. GLDAS月降水数据在中国区的适用性评估[J]. 水科学进展, 2014, 25(6): 769-778.
  [Wang Wen, Wang Xiaoju, Wang Peng. Assessing the applicability of GLDAS monthly precipitation data in China[J]. Advances in Water Science, 2014, 25(6): 769-778.]
[26] 卢冬燕, 朱秀芳, 刘婷婷, 等. 2 ℃温升情景下中国气象干旱特征变化[J]. 干旱区地理, 2023, 46(8): 1227-1237.
  [Lu Dongyan, Zhu Xiufang, Liu Tingting, et al. Changes in meteorological drought characteristics in China under the 2 ℃ temperature rise scenario[J]. Arid Land Geography, 2023, 46(8): 1227-1237.]
[27] 葛元凯, 赵龙龙, 陈劲松, 等. 1983—2020年西南地区气象干旱时空演变趋势及干旱事件识别[J]. 生态环境学报, 2023, 32(5): 920-932.
  [Ge Yuankai, Zhao Longlong, Chen Jinsong, et al. Spatio-temporal evolution trend of meteorological drought and identification of drought events in southwest China from 1983 to 2020[J]. Ecology and Environmental Sciences, 2023, 32(5): 920-932.]
[28] Vicente-serrano S M, Begueria S, Lopez-moreno J I. A multiscalar drought index sensitive to global warming: The standardized precipitation evapotranspiration index[J]. Journal of Climate, 2010, 23(7): 1696-1718.
[29] 张林, 沈云中, 陈秋杰, 等. 红柳江区域陆地水储量变化及其驱动因素分析[J]. 测绘学报, 2022, 51(4): 622-630.
  [Zhang Lin, Shen Yunzhong, Chen Qiujie, et al. Analysis of terrestrial water storage changes and its driving factors of Hongliu River region[J]. Acta Geodaetica et Cartographica Sinica, 2022, 51(4): 622-630.]
[30] Zhao M, Geruo A, Velicogna I, et al. A global gridded dataset of GRACE drought severity index for 2002-14: Comparison with PDSI and SPEI and a case study of the Australia millennium drought[J]. Journal of Hydrometeorology, 2017, 18(8): 2117-2129.
[31] 任立良, 王宇, 江善虎, 等. 基于GRACE和GRACE-FO的黄河流域陆地水储量及影响因素分析[J]. 水资源保护, 2022, 38(4): 26-32.
  [Ren Liliang, Wang Yu, Jiang Shanhu, et al. GRACE and GRACE-FO-based terrestrial water storage and its influencing factor analysis of the Yellow River[J]. Water Resources Protection, 2022, 38(4): 26-32.]
[32] 邓椿, 蒋晓辉, 孙维峰. 基于GRACE数据的黄河流域地下水储量变化与人口暴露研究[J]. 干旱区地理, 2022, 45(6): 1836-1846.
  [Deng Chun, Jiang Xiaohui, Sun Weifeng, et al. Groundwater storage and population exposure in the Yellow River Basin based on GRACE data[J]. Arid Land Geography, 2022, 45(6): 1836-1846.]
[33] 王晓峰, 张园, 冯晓明, 等. 基于游程理论和Copula函数的干旱特征分析及应用[J]. 农业工程学报, 2017, 33(10): 206-214.
  [Wang Xiaofeng, Zhang Yuan, Feng Xiaoming, et al. Analysis and application of drought characteristics based on run theory and copula function[J]. Transactions of the Chinese Society of Agricultural Engineering, 2017, 33(10): 206-214.]
[34] 孔冬冬, 张强, 顾西辉, 等. 植被对不同时间尺度干旱事件的响应特征及成因分析[J]. 生态学报, 2016, 36(24): 7908-7918.
  [Kong Dongdong, Zhang Qiang, Gu Xihui, et al. Analysis of the response characteristics and causes of vegetation to drought events at different time scales[J]. Acta Ecologica Sinica, 2016, 36(24): 7908-7918.]
[35] 张音, 古丽贤·吐尔逊拜, 苏里坦, 等. 近60 a来新疆不同海拔气候变化的时空特征分析[J]. 干旱区地理, 2019, 42(4): 822-829.
  [Zhang Yin, Tuerxunbai Gulixian, Su Litan, et al. Spatial and temporal characteristics of climate change at different altitudes in Xinjiang in the past 60 years[J]. Arid Land Geography, 2019, 42(4): 822-829.]
[36] 王会静, 郭玉川, 白运保, 等. 新疆植被动态格局及其对气候的时滞效应[J]. 农业工程学报, 2023, 39(11): 137-145.
  [Wang Huijing, Guo Yuchuan, Bai Yunbao, et al. Dynamic pattern of vegetation in Xinjiang and its time-lag effect on climate[J]. Transactions of the Chinese Society of Agricultural Engineering, 2023, 39(11): 137-145.]
[37] 姜萍, 胡列群, 肖静, 等. 新疆植被NDVI时空变化及定量归因[J]. 水土保持研究, 2022, 29(2): 212-220, 242.
  [Jiang Ping, Hu Liequn, Xiao jing, et al. Spatiotemporal dynamics of NDVI in Xinjiang and quantitative attribution based on geodetector[J]. Research of Soil and Water Conservation, 2022, 29(2): 212-220, 242.]
[38] 达伟, 王书峰, 沈永平, 等. 1957—2019年昆仑山北麓车尔臣河流域水文情势及其对气候变化的响应[J]. 冰川冻土, 2022, 44(1): 46-55.
  [Da Wei, Wang Shufeng, Shen Yongping, et al. Hydrological response to the climatic changes in the Qarqan River Basin at the northern slope of Kunlun Mountains during 1957—2019[J]. Journal of Glaciology and Geocryology, 2022, 44(1): 46-55.]
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