阿克苏河流域蒸散量时空变化规律与驱动因素

doi:10.13866/j.azr.2025.07.05

干旱区研究 ›› 2025, Vol. 42 ›› Issue (7): 1211-1221.doi: 10.13866/j.azr.2025.07.05 cstr: 32277.14.AZR.20250705

阿克苏河流域蒸散量时空变化规律与驱动因素

杨琛¹^,²^,³(), 马斌⁴^,⁵^,⁶, 何学敏¹^,²^,³(), 郝哲⁴^,⁵^,⁶, 马玉⁴^,⁵^,⁶

1.新疆大学生态与环境学院，新疆乌鲁木齐 830017
2.新疆大学绿洲生态教育部重点实验室，新疆乌鲁木齐 830017
3.新疆精河温带荒漠生态系统教育部野外科学观测研究站，新疆精河 833300
4.中国地质调查局乌鲁木齐自然资源综合调查中心，新疆乌鲁木齐 830057
5.塔里木河源区绿洲水土过程与生态安全野外科学观测研究站，新疆乌鲁木齐 830000
6.塔里木河下游水资源与生态野外科学观测研究站，新疆乌鲁木齐 830057

收稿日期:2024-12-02 修回日期:2025-03-26 出版日期:2025-07-15 发布日期:2025-07-07
通讯作者: 何学敏. E-mail: hxm@xju.edu.cn
作者简介:杨琛（2000-），男，硕士研究生，主要从事生态遥感研究. E-mail: yangchen1517@stu.xju.edu.cn
基金资助:
工程技术创新平台建设运行项目(WZD-XM-KJ-2023-0125);中国地质调查局项目(DD20220887);自然资源部自然资源要素耦合过程与效应重点实验室开放课题(2022KFKTC010);自治区高校基本科研业务费项目(XJEDU2022J001)

Patterns of spatial and temporal variation of evapotranspiration in Aksu River Basin and factors driving them

YANG Chen¹^,²^,³(), MA Bin⁴^,⁵^,⁶, HE Xuemin¹^,²^,³(), HAO Zhe⁴^,⁵^,⁶, MA Yu⁴^,⁵^,⁶

1. College of Ecology and Environment, Xinjiang University, Urumqi 830017, Xinjiang, China
2. Key Laboratory of Oasis Ecology of Education Ministry, Xinjiang University, Urumqi 830017, Xinjiang, China
3. Xinjiang Jinghe Observation and Research Station of Temperate Desert Ecosystem, Ministry of Education, Jinghe 833300, Xinjiang, China
4. Urumqi Comprehensive Survey Center on Natural Resources, Urumqi 830057, Xinjiang, China
5. Observation and Research Station of Soil and Water Processes and Ecologica Security of Oasis in the Headstream Area of the Tarim River, Urumqi 830000, Xinjiang, China
6. Field Observation and Research Station of Water Resources and Ecological Effect in Lower Reaches of Tarim River Basin, Urumqi 830057, Xinjiang, China

Received:2024-12-02 Revised:2025-03-26 Published:2025-07-15 Online:2025-07-07

摘要/Abstract

摘要： 蒸散作为水循环的关键环节，对水资源调控和生态保护至关重要，尤其在干旱区水资源消耗和再分配中起着重要作用。本文以阿克苏河流域为研究区域，利用2001—2022年MOD16蒸散量产品数据，系统分析了实际蒸散量（AET）与潜在蒸散量（PET）的时空变化规律，并探讨了其影响因素，为区域水资源管理和生态环境保护提供了科学依据。结果表明：（1） MOD16产品数据与ET₀数据较为一致（R²=0.8133），产品精度满足阿克苏河流域蒸散量时空分布研究要求。（2）多年平均AET和PET分别为168.36 mm和1569.03 mm，AET总体呈现上升趋势，PET呈下降趋势。AET与PET在空间分布上差异明显且变化趋势相反。（3）近22 a来，阿克苏河流域AET显著增长且主要集中在耕地、林地及绿洲，而PET整体减少但在绿洲边缘及河道附近增加，AET稳定性差而PET相对稳定，两者Hurst指数均显示未来趋势可能发生变化，其中AET有56%区域具有反持续性，PET有89%区域具有反持续性。（4） AET与PET变化与气候因子变化具有内在联系，其中风速和相对湿度是影响区域AET和PET变化的主要驱动因素。该研究可为干旱区水资源管理与科学利用提供重要参考。

关键词: 蒸散量, 水循环, 时空变化, 水资源管理, 阿克苏河流域

Abstract:

Evapotranspiration, as a crucial component of the water cycle, is vital for regulating water resources and protecting the environment, especially in arid regions where it plays a significant role in water consumption and redistribution. This study focused on Aksu River Basin and used MOD16 evapotranspiration product data from 2001 to 2022 to systematically analyze the patterns of spatial and temporal variation of actual evapotranspiration (AET ) and potential evapotranspiration (PET ), along with an exploration of the factors influencing them. The findings provide a scientific basis for managing regional water resources and protecting the environment. The results indicate the following: (1) The MOD16 product data are consistent with ET₀ data (R²=0.8133), and the product accuracy meets the requirements for studying the spatial and temporal distribution of evapotranspiration in Aksu River Basin. (2) The multi-year average AET and PET are 168.36 mm and 1569.03 mm, respectively. AET shows an overall increasing trend, while PET exhibits a decreasing one. There are significant differences in the spatial distribution of AET and PET, with the opposite trends being exhibited. (3) Over the last 22 years, AET in Aksu River Basin has significantly increased, mainly in cultivated land, forestland, and oases, while PET has decreased overall but increased near the edges of oases and along river channels. AET is less stable than PET, and the Hurst indices of both indicate that the trends may change in future, with 56% of the area showing anti-persistence for AET and 89% for PET. (4) Changes in AET and PET are intrinsically linked to changes in climatic factors, with wind speed and relative humidity being the main factors influencing regional variations in these two variables. This study provides an important scientific reference for managing and using water resources in arid regions.

Key words: evapotranspiration, water cycle, spatial and temporal variation, water resource management, Aksu River Basin

杨琛, 马斌, 何学敏, 郝哲, 马玉. 阿克苏河流域蒸散量时空变化规律与驱动因素[J]. 干旱区研究, 2025, 42(7): 1211-1221.

YANG Chen, MA Bin, HE Xuemin, HAO Zhe, MA Yu. Patterns of spatial and temporal variation of evapotranspiration in Aksu River Basin and factors driving them[J]. Arid Zone Research, 2025, 42(7): 1211-1221.

图/表 12

图1

表1

表2

图2

图3

图4

图5

表3

图6

表4

图7

表5

参考文献 40

[1]	张圆, 贾贞贞, 刘绍民, 等. 遥感估算地表蒸散量真实性检验研究进展[J]. 遥感学报, 2020, 24(8): 975-999.
	[Zhang Yuan, Jia Zhenzhen, Liu Shaomin, et al. Advances in validation of remotely sensed land surface evapotranspiration[J]. Journal of Remote Sensing, 2020, 24(8): 975-999.]
[2]	李晓媛, 于德永. 蒸散量估算方法及其驱动力研究进展[J]. 干旱区研究, 2020, 37(1): 26-36.
	[Li Xiaoyuan, Yu Deyong. Progress on evapotranspiration estimation methods and driving forces in arid and semiarid regions[J]. Arid Zone Research, 2020, 37(1): 26-36.]
[3]	刘洋, 于恩涛, 杨建军, 等. 西北干旱区1960—2019年实际蒸散量时空变化特征[J]. 水土保持研究, 2021, 28(6): 75-80, 89.
	[Liu Yang, Yu Entao, Yang Jianjun, et al. Characteristics of spatial and temporal variation of actual evapotranspiration in the arid region of Northwest China from 1960 to 2019[J]. Research of Soil and Water Conservation, 2021, 28(6): 75-80, 89.]
[4]	周彦昭, 周剑, 李妍, 等. 利用SEBAL和改进的SEBAL模型估算黑河中游戈壁、绿洲的蒸散量[J]. 冰川冻土, 2014, 36(6): 1526-1537. doi: 10.7522/j.issn.1000-0240.2014.0183
	[Zhou Yanzhao, Zhou Jian, Li Yan, et al. Simulating the evapotranspiration with SEBAL and modified SEBAL (M-SEBAL) models over the desert and oasis of the middle reaches of the Heihe River[J]. Journal of Glaciology and Geocryology, 2014, 36(6): 1526-1537.] doi: 10.7522/j.issn.1000-0240.2014.0183
[5]	郭晓彤, 孟丹, 蒋博武, 等. 基于MODIS蒸散量数据的淮河流域蒸散量时空变化及影响因素分析[J]. 水文地质工程地质, 2021, 48(3): 45-52.
	[Guo Xiaotong, Meng Dan, Jiang Bowu, et al. Spatio-temporal change and influencing factors of evapotranspiration in the Huaihe River Basin based on MODIS evapotranspiration data[J]. Hydrogeology & Engineering Geology, 2021, 48(3): 45-52.]
[6]	Chahine M T. The hydrological cycle and its influence on climate[J]. Nature, 1992, 359(6349): 373-380.
[7]	阿迪来·乌甫, 玉素甫江·如素力, 热伊莱·卡得尔, 等. 基于MODIS数据的新疆地表蒸散量时空分布及变化趋势分析[J]. 地理研究, 2017, 36(7): 1245-1256. doi: 10.11821/dlyj201707005
	[Adilai Wufu, Yusupujiang Rusuli, Reyila Kader, et al. Spatio-temporal distribution and evolution trend of evapotranspiration in Xinjiang based on MOD16 data[J]. Geographical Research, 2017, 36(7): 1245-1256.]
[8]	曹雪, 柯长青. 基于对象级的高分辨率遥感影像分类研究[J]. 遥感信息, 2006, 21(5): 27-30, 51, 73.
	[Cao Xue, Ke Changqing. Classification of high-resolution remote sensing images using object-oriented method[J]. Remote Sensing Information, 2006, 21(5): 27-30, 51, 73.]
[9]	王冉冉, 吕光辉, 何学敏, 等. 克里雅河流域中游绿洲蒸散量的时空演变与驱动因素分析[J]. 测绘通报, 2024, 70(3): 31-36, 139.
	[Wang Ranran, Lv Guanghui, He Xuemin, et al. Spatial-temporal evolution and driving factors analysis of oasis evapotranspiration in the middle reaches of the Keriya River Basin[J]. Bulletin of Surveying and Mapping, 2024, 70(3): 31-36, 139.]
[10]	邱新法, 曾燕, 刘昌明. 陆面实际蒸散研究[J]. 地理科学进展, 2003, 22(2): 118-124.
	[Qiu Xinfa, Zeng Yan, Liu Changming. A study on actual evaporation from non-saturated surfaces[J]. Progress in Geography, 2003, 22(2): 118-124.] doi: 10.11820/dlkxjz.2003.02.002
[11]	Moran M S, Rahman A F, Washburne J C, et al. Combining the Penman-Monteith equation with measurements of surface temperature and reflectance to estimate evaporation rates of semiarid grassland[J]. Agricultural and Forest Meteorology, 1996, 80(2-4): 87-109.
[12]	Bastiaanssen W, Pelgrum H, Wang J, et al. A remote sensing surface energy balance algorithm for land (SEBAL): Part 2: Validation[J]. Journal of Hydrology, 1998, 212-213(1-4): 198-212.
[13]	Jiang L, Islam S. A methodology for estimation of surface evapotranspiration over large areas using remote sensing observations[J]. Geophysical Research Letters, 1999, 26(17): 2773-2776.
[14]	Rodell M, Houser P R, Jambor U, et al. Land data assimilation systems[J]. Bulletin of the American Meteorological Society, 2004, 85(3): 381-394.
[15]	Martens B, Miralles D G, Lievens H, et al. GLEAM v3: Satellite-based land evaporation and root-zone soil moisture[J]. Geoscientific Model Development Discussions, 2016, 10(5): 1-36.
[16]	Mu Q Z, Zhao M, Steven W. Improvements to a MODIS global terrestrial evapotranspiration algorithm[J]. Remote Sensing of Environment, 2011, 115(8): 1781-1800.
[17]	范建忠, 李登科, 高茂盛. 基于MOD16的陕西省蒸散量时空分布特征[J]. 生态环境学报, 2014, 23(9): 1536-1543.
	[Fan Jianzhong, Li Dengke, Gao Maosheng. Spatio-temporal variations of evapotranspiration in Shaanxi Province using MOD16 products[J]. Ecology and Environmental Sciences, 2014, 23(9): 1536-1543.]
[18]	宋硕, 赵婉凝, 李少然, 等. 基于MOD16的银川地表蒸散量时空特征及影响因素分析[J]. 北京林业大学学报, 2024, 46(7): 18-26.
	[Song Shuo, Zhao Wanning, Li Shaoran, et al. Spatio-temporal characteristics and influencing factors of evapotranspiration inYinchuan City of northwestern China Based on MOD16[J]. Journal of Beijing Forestry University, 2024, 46(7): 18-26.]
[19]	李晴, 杨鹏年, 彭亮, 等. 基于MOD16数据的焉耆盆地蒸散量变化研究[J]. 干旱区研究, 2021, 38(2): 351-358. doi: 10.13866/j.azr.2021.02.06
	[Li Qing, Yang Pengnian, Peng Liang, et al. Study of the variation trend of evapotranspiration in the Yanqi Basin based on MOD16 data[J]. Arid Zone Research, 2021, 38(2): 351-358.] doi: 10.13866/j.azr.2021.02.06
[20]	刘静, 刘铁军, 杜晓峰, 等. 基于MOD16A2的毛乌素沙地实际蒸散量时空稳定性模拟[J]. 干旱地区农业研究, 2020, 38(2): 243-250.
	[Liu Jing, Liu Tiejun, Du Xiaofeng, et al. Simulation on spatio-temporal stability of ET based on MOD16A2 in Mu Us Sandy Land[J]. Agricultural Research in the Arid Areas, 2020, 38(2): 243-250.]
[21]	艾力亚·艾尼瓦尔, 玉米提·哈力克, 买尔当·克依木, 等. 基于MOD16产品的塔里木河流域蒸散量时空分布特征[J]. 中国农村水利水电, 2018, 60(9): 79-84, 95.
	[Ailiya Ainiwaer, Yumiti Halike, Maierdang Keyimu, et al. Spatio-temporal variation of evapotranspiration in the Tarim River Basin by using MOD16 products[J]. China Rural Water and Hydropower, 2018, 60(9): 79-84, 95.]
[22]	康利刚, 曹生奎, 曹广超, 等. 青海湖沙柳河流域蒸散量时空变化特征[J]. 干旱区研究, 2023, 40(3): 358-372. doi: 10.13866/j.azr.2023.03.03
	[Kang Ligang, Cao Shengkui, Cao Guangchao, et al. Temporal and spatial changes of evapotranspiration in the Shaliu River Basin of Qinghai Lake[J]. Arid Zone Research, 2023, 40(3): 358-372.] doi: 10.13866/j.azr.2023.03.03
[23]	闫宇会, 薛宝林, 张路方, 等. 基于MOD16产品的黑河流域蒸散量时空分布特征[J]. 节水灌溉, 2019, 44(9): 85-92.
	[Yan Yuhui, Xue Baolin, Zhang Lufang, et al. Temporal and spatial distribution characteristics of evapotranspiration in the Heihe River Basin based on MOD16 product[J]. Water Saving Irrigation, 2019, 44(9): 85-92.]
[24]	邓兴耀, 刘洋, 刘志辉, 等. 中国西北干旱区蒸散量时空动态特征[J]. 生态学报, 2017, 37(9): 2994-3008.
	[Deng Xingyao, Liu Yang, Liu Zhihui, et al. Temporal-spatial dynamic change characteristics of evapotranspiration in arid region of Northwest China[J]. Acta Ecologica Sinica, 2017, 37(9): 2994-3008.]
[25]	姚小晨, 高凡, 韩方红, 等. 2000—2020年阿克苏河流域土地利用强度变化及其对蒸散量的影响[J]. 干旱区研究, 2024, 41(6): 951-963. doi: 10.13866/j.azr.2024.06.05
	[Yao Xiaochen, Gao Fan, Han Fanghong, et al. Land use intensity change and its influence on evapotranspiration in Aksu River Basin from 2000 to 2020[J]. Arid Zone Research, 2024, 41(6): 951-963.] doi: 10.13866/j.azr.2024.06.05
[26]	陈亚宁, 郝兴明, 陈亚鹏, 等. 新疆塔里木河流域水系连通与生态保护对策研究[J]. 中国科学院院刊, 2019, 34(10): 1156-1164.
	[Chen Yaning, Hao Xingming, Chen Yapeng, et al. Study on water system connectivity and ecological protection countermeasures of Tarim River Basin in Xinjiang[J]. Bulletin of the Chinese Academy of Sciences, 2019, 34(10): 1156-1164.]
[27]	韩路, 陈家力, 王家强, 等. 塔河源荒漠河岸林群落物种组成、结构与植物区系特征[J]. 植物科学学报, 2019, 37(3): 324-336.
	[Han Lu, Chen Jiali, Wang Jiaqiang, et al. Species composition, community structure, and floristic characteristics of desert riparian forest community along the mainstream of Tarim River[J]. Plant Science Journal, 2019, 37(3): 324-336.]
[28]	Wang L, Wang J J, Ding J L, et al. Estimation and spatiotemporal evolution analysis of actual evapotranspiration in Turpan and Hami Cities based on multi-source Data[J]. Remote Sensing, 2023, 15(10): 2565.
[29]	张巧凤, 刘桂香, 于红博, 等. 基于MOD16A2的锡林郭勒草原近14年的蒸散量时空动态[J]. 草地学报, 2016, 24(2): 286-293. doi: 10.11733/j.issn.1007-0435.2016.02.007
	[Zhang Qiaofeng, Liu Guixiang, Yu Hongbo, et al. Temporal and spatial dynamic of ET based on MOD16A2 in recent fourteen years in Xilingol Steppe[J]. Acta Agrestia Sinica, 2016, 24(2): 286-293.] doi: 10.11733/j.issn.1007-0435.2016.02.007
[30]	吴宏玥, 杜灵通, 乔成龙, 等. 基于蒸散演变驱动的宁夏绿洲平原生态系统耗水变化[J]. 水土保持学报, 2023, 37(3): 172-180, 189.
	[Wu Hongyue, Du Lingtong, Qiao Chenglong, et al. Water consumption of ecosystem driven by evapotranspiration evolution in Ningxia oasis plain[J]. Journal of Soil and Water Conservation, 2023, 37(3): 172-180, 189.]
[31]	Allen R, Pereira L, Raes D, et al. Crop Evapotranspiration-Guidelines for Computing Crop Water Requirements[M]. Irrigation and Drainage Paper, No.56, FAO, 1998.
[32]	宋佳, 徐长春, 杨媛媛, 等. 基于MODIS16的新疆干湿气候时空变化及影响因素[J]. 水土保持研究, 2019, 26(5): 210-214, 221, 2.
	[Song Jia, Xu Changchun, Yang Yuanyuan, et al. Temporal and spatial variation characteristics of evapotranspiration and dry-wet climate in Xinjiang based on MODIS16[J]. Research of Soil and Water Conservation, 2019, 26(5): 210-214, 221, 2.]
[33]	张守红, 刘苏峡, 莫兴国, 等. 阿克苏河流域气候变化对潜在蒸散量影响分析[J]. 地理学报, 2010, 65(11): 1363-1370. doi: 10.11821/xb201011006
	[Zhang Shouhong, Liu Suxia, Mo Xingguo, et al. Assessing the impact of climate change on reference evapotranspiration in Aksu River Basin[J]. Acta Geographica Sinica, 2010, 65(11): 1363-1370.] doi: 10.11821/xb201011006
[34]	王志成, 方功焕, 张辉, 等. 阿克苏河灌区作物需水量对气候变化的敏感性分析[J]. 沙漠与绿洲气象, 2018, 12(3): 33-39.
	[Wang Zhicheng, Fang Gonghuan, Zhang Hui, et al. Sensitivity analysis of crop water requirement to meteorological factors in Aksu Irrigation Area[J]. Desert and Oasis Meteorology, 2018, 12(3): 33-39.]
[35]	罗开盛, 陶福禄. 基于SWAT的西北干旱区县域水文模拟——以临泽县为例[J]. 生态学报, 2018, 38(23): 8593-8603.
	[Luo Kaisheng, Tao Fulu. Hydrological modeling based on SWAT in arid Northwest China: A case study in Linze County[J]. Acta Ecologica Sinica, 2018, 38(23): 8593-8603.]
[36]	王怡宁, 杨秒, 王兵, 等. 五道沟地区“蒸发悖论”及成因探析[J]. 灌溉排水学报, 2020, 39(3): 126-133.
	[Wang Yining, Yang Miao, Wang Bing, et al. The “Evaporation Paradox” in Wudaogou area and its underlying mechanisms[J]. Journal of Irrigation and Drainage, 2020, 39(3): 126-133.]
[37]	Bouchet R J. Evapotranspiration réelle et potentielle,signification climatique[J]. International Association of Hydrological Sciences, 1963, 62: 134-142.
[38]	余文君, 赵林, 李艳忠, 等. 基于互补相关理论的青藏高原蒸散量时空变化及其影响因素[J]. 生态学报, 2024, 44(12): 5024-5039.
	[Yu Wenjun, Zhao Lin, Li Yanzhong, et al. Spatial-temporal variation of evapotranspiration based on the complementary relationship principle and its influencing factors on the Qinghai-Tibet Plateau[J]. Acta Ecologica Sinica, 2024, 44(12): 5024-5039.]
[39]	阴晓伟, 吴一平, 赵文智, 等. 西北旱区潜在蒸散量的气候敏感性及其干旱特征研究[J]. 水文地质工程地质, 2021, 48(3): 20-30.
	[Yin Xiaowei, Wu Yiping, Zhao Wenzhi, et al. Drought characteristics and sensitivity of potential evapotranspiration to climatic factors in the arid and semi-arid areas of Northwest China[J]. Hydrogeology & Engineering Geology, 2021, 48(3): 20-30.]
[40]	马亚丽, 牛最荣, 孙栋元. 河西走廊潜在蒸散量时空格局变化与气象因素的关系[J]. 干旱区地理, 2024, 47(2): 192-202. doi: 10.12118/j.issn.1000－6060.2023.108
	[Ma Yali, Niu Zuirong, Sun Dongyuan. Relationship between changes in spatial and temporal patterns of potential evapotranspiration and meteorological factors in the Hexi Corridor[J]. Arid Land Geography, 2024, 47(2): 192-202.] doi: 10.12118/j.issn.1000－6060.2023.108

β	Z	趋势类型
β>0	\|Z\|>1.96	显著增长
β>0	\|Z\|≤1.96	轻微增长
β<0	\|Z\|≤1.96	轻微减少
β<0	\|Z\|>1.96	显著减少

β	H	趋势类型
β>0	H>0.5	持续增加
β>0	H<0.5	可能由增加变为减少
β<0	H>0.5	持续减少
β<0	H<0.5	可能由减少变为增加

蒸散类型	趋势类型	面积比例/%
AET	显著增长	94.96
	轻微增长	0.69
	稳定不变	0.03
	轻微减少	0.72
	显著减少	3.57
PET	显著增长	9.39
	轻微增长	3.18
	稳定不变	0.04
	轻微减少	4.14
	显著减少	83.25

蒸散类型	波动程度	面积比例/%
AET	非常稳定	0.16
	稳定	36.34
	不稳定	38.86
	非常不稳定	25.14
PET	非常稳定	96.41
	稳定	3.56
	不稳定	0.03
	非常不稳定	0

	气温	风速	水汽压	相对湿度	日照时数
AET	0.207	0.817^**	0.174	-0.606^**	0.34
PET	0.089	-0.446^*	-0.057	0.372	0.321

阿克苏河流域蒸散量时空变化规律与驱动因素

Patterns of spatial and temporal variation of evapotranspiration in Aksu River Basin and factors driving them

RichHTML

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

图/表 12

参考文献 40

相关文章 15

Metrics

本文评价

推荐阅读 0

[1]	魏倩, 马全林, 赵锐锋. 古浪县八步沙区域生态环境质量变化[J]. 干旱区研究, 2025, 42(6): 1114-1125.
[2]	安彬, 陈文靖, 肖薇薇. 气候变暖背景下黄土高原≥0 ℃和≥10 ℃积温时空变化[J]. 干旱区研究, 2025, 42(6): 981-992.
[3]	沙贝宁, 杨余辉, 黄佛君, 叶茂. 中国西北地区逆温时空变化[J]. 干旱区研究, 2025, 42(3): 397-408.
[4]	张起鹏, 路红娥, 赵頔琛, 卓玛兰草. 甘南黄河上游植被覆盖度时空变化与地形因子的关系[J]. 干旱区研究, 2025, 42(3): 523-522.
[5]	鲁力, 葛燕燕, 李升, 张云. 新疆阿克苏河流域高砷地下水化学特征及富集成因[J]. 干旱区研究, 2025, 42(2): 258-273.
[6]	张彬, 郑新军, 王玉刚, 唐立松, 李彦, 杜澜, 田胜川. 1990—2022年天山北坡地区不同开垦年限耕层土壤盐分变化[J]. 干旱区研究, 2024, 41(9): 1435-1445.
[7]	孙琳琳, 刘琼, 黄观, 陈勇航, 魏鑫, 郭玉琳, 张太西, 高天一, 许赟红. 新疆和周边“一带一路”地区不同云天条件下地表太阳辐射[J]. 干旱区研究, 2024, 41(9): 1480-1490.
[8]	王佳爽, 高晓瑜, 李为萍, 池曌男, 张家鹏, 吴怡萱. 塔布河流域潜在蒸散量时空变化特征及成因[J]. 干旱区研究, 2024, 41(9): 1538-1547.
[9]	袁征, 张志高, 闫瑾, 刘嘉毅, 胡柱钰, 王赟, 蔡茂堂. 1960—2020年黄河流域不同等级降水时空特征[J]. 干旱区研究, 2024, 41(8): 1259-1271.
[10]	张群慧, 常亮, 顾小凡, 王倩, 马卯楠, 李小等, 段瑞, 犹香智. 1979—2020年柴达木盆地人体舒适度指数时空变化及趋势分析[J]. 干旱区研究, 2024, 41(8): 1300-1308.
[11]	李沛尧, 王新军, 许世贤, 高胜寒, 薛智暄, 衡瑞. 基于PLUS土地利用模拟的阿克苏河流域NEP时空格局研究[J]. 干旱区研究, 2024, 41(6): 1059-1068.
[12]	姚小晨, 高凡, 韩方红, 何兵. 2000—2020年阿克苏河流域土地利用强度变化及其对蒸散发的影响[J]. 干旱区研究, 2024, 41(6): 951-963.
[13]	裴志林, 曹晓娟, 王冬, 李迪, 王鑫, 白艾原. 内蒙古植被覆盖时空变化特征及其对人类活动的响应[J]. 干旱区研究, 2024, 41(4): 629-638.
[14]	赵东颖, 蒙仲举, 孟芮冰, 马泽. 乌兰布和沙漠风沙入黄段植被覆盖动态变化特征及驱动力[J]. 干旱区研究, 2024, 41(4): 639-649.
[15]	周义, 索文姣. 基于CWSI的汾河流域干旱时空变化特征[J]. 干旱区研究, 2024, 41(2): 191-199.