2000—2020年中亚大型湖泊湖冰物候时空变化

doi:10.12118/j.issn.1000－6060.2023.200

Abstract

Abstract:

The phenology of lake ice is a sensitive indicator of regional climate change. Through comprehensive analysis of long-term surface reflectance data, meteorological data, and lake information for seven large lakes (Karakul Lake, Balkhash Lake, Aral Sea, Alakol Lake, Zaysan Lake, Chatir Kol Lake, and Markakol Lake) with an area greater than 100 km² in Central Asia from 2000 to 2020, GIS-related technologies were used to explore the characteristics of lake ice phenology and its influencing factors. The results are as follows: (1) Lakes in Central Asia began to freeze from mid-September to early November and completely froze from late November to late December, with an average freezing time of 35 days; lake ice began to melt from late March to mid-May and would completely melt from early April to early June, with an average melting time of 18 days. (2) From 2000 to 2020, the start dates of ice formation in five of the seven lakes in Central Asia exhibited a delayed trend, with an average delay rate of 4.86 days per decade, whereas the start date of Balkhash Lake exhibited an advancing trend, with an advancing rate of 1.44 days per decade. The analysis suggests that this may be due to a decrease in the annual average temperature in the winter half of the year. The complete melting dates showed an advancing trend, with an average advancement rate of 2.90 days per decade. The average ice-covered period for the seven lakes was 171 days, with four of the lakes exhibiting a trend of shortening of the ice-covered period. The complete freezing period shows an overall trend of shortening, with Balkhash Lake exhibiting the most significant reduction, with a rate of 9.02 days per decade. (3) The spatial pattern of the formation and melting of lake ice in the seven lakes in Central Asia can be mainly divided into two categories: the lake water gradually freezes from both sides to the center and melts from the lake shore to the opposite side, or the lake water freezes from the shore to the opposite side and the earlier freezing, lake area melts the sooner. (4) The lake ice phenology changes in Central Asia are influenced by multiple factors such as lake characteristics (altitude and area) and climate (temperature and precipitation). Temperature is the key factor affecting lake ice phenology, and the higher the temperature, the shorter the ice-covered period. The area primarily affects the freezing date of the lake, and the larger the area, the shorter the ice-covered period. As the altitude increases, the ice-covered period of the lake extends.

Key words: lake ice phenology, climate change, Central Asia, MODIS

ZHAO Mingjie, WANG Ninglian, SHI Chenlie, HOU Jingqi. Temporal and spatial variations of lake ice phenology in large lakes of Central Asia from 2000 to 2020[J].Arid Land Geography, 2024, 47(4): 561-575.

Figures/Tables 20

Fig. 1

Tab. 1

Tab. 2

Fig. 2

Fig. 3

Tab. 3

Fig. 4

Tab. 4

Fig. 5

Fig. 6

Fig. 7

Fig. 8

Fig. 9

Fig. 10

Fig. 11

Fig. 12

Fig. 13

Fig. 14

Fig. 15

Tab. 5

References 54

[1]	Wang X, Qin D H, Ren J W, et al. Numerical estimation of thermal insulation performance of different coverage schemes at three places for snow storage[J]. Advances in Climate Change Research, 2021, 12(6): 903-912.
[2]	IPCC. Climate change 2022: Impacts, adaptation and vulnerability[M]. Cambridge: Cambridge University Press, 2022: 14-26.
[3]	Alimonti G, Mariani L, Prodi F, et al. A critical assessment of extreme events trends in times of global warming[J]. The European Physical Journal Plus, 2022, 137(1): 1-20.
[4]	Guo L N, Wu Y H, Zheng H X, et al. Uncertainty and variation of remotely sensed lake ice phenology across the Tibetan Plateau[J]. Remote Sensing, 2018, 10(10): 1534, doi: 10.3390/rs10101534.
[5]	Du J Y, Kimball J S, Duguay C R, et al. Satellite microwave assessment of northern hemisphere lake ice phenology from 2002 to 2015[J]. The Cryosphere, 2017, 11(1): 47-63.
[6]	Hampton S E, Galloway A W, Powers S M, et al. Ecology under lake ice[J]. Ecol Lett, 2017, 20(1): 98-111. doi: 10.1111/ele.12699 pmid: 27889953
[7]	Wang W, Lee X H, Xiao W, et al. Global lake evaporation accelerated by changes in surface energy allocation in a warmer climate[J]. Nature Geoscience, 2018, 11(6): 410-414.
[8]	Sharma S, Blagrave K, Magnuson J J, et al. Widespread loss of lake ice around the Northern Hemisphere in a warming world[J]. Nature Climate Change, 2019, 9(3): 227-231. doi: 10.1038/s41558-018-0393-5
[9]	Lu J, Qiu Y, Wang X, et al. Constructing dataset of classified drainage areas based on surface water-supply patterns in high mountain Asia[J]. Big Earth Data, 2020, 4(3): 225-241.
[10]	Sharma S, Meyer M, Culpepper J, et al. Integrating perspectives to understand lake ice dynamics in a changing world[J]. Journal of Geophysical Research: Biogeosciences, 2020, 125(8): e2020JG005799, doi: 10.1029/2020G005799.
[11]	Leppäranta M. Freezing of lakes and the evolution of their ice cover[M]. Berlin: Springer Science & Business Media, 2014: 245-269.
[12]	Sharma S, Blagrave K, Magnuson J, et al. Widespread loss of lake ice around the Northern Hemisphere in a warming world[J]. Nature Climate Change, 2019, 9(3): 227-231. doi: 10.1038/s41558-018-0393-5
[13]	Woolway R, Kraemer B, Lenters J, et al. Global lake responses to climate change[J]. Nature Reviews Earth & Environment, 2020, 1(8): 388-403.
[14]	Woolway R I, Merchant C J. Worldwide alteration of lake mixing regimes in response to climate change[J]. Nature: Geoscience, 2019, 12(4): 271-276.
[15]	Kouraev A V, Semovski S V, Shimaraev M N, et al. Observations of Lake Baikal ice from satellite altimetry and radiometry[J]. Remote Sensing of Environment, 2007, 108(3): 240-253.
[16]	Marszelewski W, Skowron. Ice cover as an indicator of winter air temperature changes: Case study of the Polish lowland lakes[J]. Hydrological Sciences Journal, 2006, 51(2): 336-349.
[17]	魏秋方, 叶庆华. 湖冰遥感监测方法综述[J]. 地理科学进展, 2010, 29(7): 803-810.
	[Wei Qiufang, Ye Qinghua. Review of lake ice monitoring by remote sensing[J]. Progress in Geography, 2010, 29(7): 803-810. ] doi: 10.11820/dlkxjz.2010.07.005
[18]	Cai Y, Ke C Q, Duan Z. Monitoring ice variations in Qinghai Lake from 1979 to 2016 using passive microwave remote sensing data[J]. Science of the Total Environment, 2017, 607-608: 120-131.
[19]	Che T, Li X, Jin R. Monitoring the frozen duration of Qinghai Lake using satellite passive microwave remote sensing low frequency data[J]. Chinese Science Bulletin, 2009, 54(13): 2294-2299.
[20]	Ke C Q, Tao A Q, Jin X. Variability in the ice phenology of Nam Co Lake in central Tibet from scanning multichannel microwave radiometer and special sensor microwave/image: 1978 to 2013[J]. Journal of Applied Remote Sensing, 2013, 7(1): 073477, doi: 10.1117/1.JRS.7.073477.
[21]	Howell S E L, Brown L C, Kang K K, et al. Variability in ice phenology on Great Bear Lake and Great Slave Lake, Northwest Territories, Canada, from SeaWinds/QuikSCAT: 2000—2006[J]. Remote Sensing of Environment, 2009, 113(4): 816-834.
[22]	柯长青, 蔡宇, 肖瑶. 1979年—2019年兴凯湖湖冰物候变化的被动微波遥感监测[J]. 遥感学报, 2022, 26(1): 201-210.
	[Ke Changqing, Cai Yu, Xiao Yao. Monitoring ice phenology variations in Khanka Lake based on passive remote sensing data from 1979 to 2019[J]. National Remote Sensing Bulletin, 2022, 26(1): 201-210. ]
[23]	Duguay C R, Lafleur P M. Estimating depth and ice thickness of shallow subarctic lakes using space borne optical and SAR data[J]. International Journal of Remote Sensing, 2003, 24(3): 475-489.
[24]	Jeffries M O, Morris K, Weeks W F, et al. Structural and stratigraphic features and ERS 1 synthetic aperture radar back scatter characteristics of ice growing on shallow lakes in NW Alaska, winter 1991—1992[J]. Journal of Geophysical Research: Oceans, 1994, 99(C11): 22459-22471.
[25]	Duguay C R, Pultz T J, Lafleur P M, et al. RADARSAT back scatter characteristics of ice growing on shallow subarctic lakes, Churchill, Manitoba, Canada[J]. Hydrological Processes, 2002, 16(8): 1631-1644.
[26]	Geldsetzer T, Sanden J V D, Brisco B. Monitoring lake ice during spring melt using RADARSAT-2 SAR[J]. Canadian Journal of Remote Sensing, 2010, 36(Suppl. 2): S391-S400.
[27]	Chaouch N, Temimi M, Romanov P, et al. An automated algorithm for river ice monitoring over the Susquehanna River using the MODIS data[J]. Hydrological Processes, 2014, 28(1): 62-73.
[28]	Latifovic R, Pouliot D. Analysis of climate change impacts on lake ice phenology in Canada using the historical satellite data record[J]. Remote Sensing of Environment, 2007, 106(4): 492-507.
[29]	邰雪楠, 王宁练, 吴玉伟, 等. 近20 a色林错湖冰物候变化特征及其影响因素[J]. 湖泊科学, 2022, 34(1): 334-348.
	[Tai Xuenan, Wang Ninglian, Wu Yuwei, et al. Lake ice phenology variations and influencing factors of Selin Co from 2000 to 2020[J]. Journal of Lake Sciences, 2022, 34(1): 334-348. ]
[30]	Yao X J, Li L, Zhao J, et al. Spatial-temporal variations of lake ice phenology in the Hoh Xil region from 2000 to 2011[J]. Journal of Geographical Sciences, 2016, 26: 70-82. doi: 10.1007/s11442-016-1255-6
[31]	吴艳红, 郭立男, 范兰馨, 等. 青藏高原纳木错湖冰物候变化遥感监测与模拟[J]. 遥感学报, 2022, 26(1): 193-200.
	[Wu Yanhong, Guo Linan, Fan Lanxin, et al. Lake ice phenology of the Nam Co at Tibetan Plateau: Remote sensing and modelling[J]. National Remote Sensing Bulletin, 2022, 26(1): 193-200. ]
[32]	黄鑫, 焦黎, 马晓飞, 等. 基于RClimDex模型的近60 a中亚极端降水事件变化特征[J]. 干旱区地理, 2023, 46(7): 1039-1051.
	[Huang Xin, Jiao Li, Ma Xiaofei, et al. Change characteristics of extreme precipitation events in Central Asia in recent 60 years based on RClimDex model[J]. Arid Land Geography, 2023, 46(7): 1039-1051. ]
[33]	Che X, Feng M, Sun Q, et al. The decrease in lake numbers and areas in Central Asia investigated using a Landsat-derived water dataset[J]. Remote Sensing, 2021, 13(5): 1032, doi: 10.3390/rs13051032.
[34]	Huang W, Duan W, Chen Y. Unravelling lake water storage change in Central Asia: Rapid decrease in tail-end lakes and increasing risks to water supply[J]. Journal of Hydrology, 2022, 614: 128546, doi: 10.1016/j.jhydrol.2022.128546.
[35]	Hu Z, Zhang Z, Sang Y F, et al. Temporal and spatial variations in the terrestrial water storage across Central Asia based on multiple satellite datasets and global hydrological models[J]. Journal of Hydrology, 2021, 596: 126013, doi: 10.1016/j.jhydrol.2021.126013.
[36]	夏怀霞, 梁涵玮, 陈爽, 等. 中亚地区土地与人口城镇化时空耦合特征[J]. 干旱区地理, 2023, 46(1): 115-126.
	[Xia Huaixia, Liang Hanwei, Chen Shuang, et al. Spatiotemporal coupling of landscape-demographic urbanization in Central Asia[J]. Arid Land Geography, 2023, 46(1): 115-126. ]
[37]	陈佳毅, 赵勇. 伊朗高原和北非感热异常对夏季塔里木盆地降水的影响[J]. 干旱区地理, 2022, 45(5): 1357-1369.
	[Chen Jiayi, Zhao Yong. Effects of sensible heat anomalies in the Iranian Plateau and North Africa on summer precipitation in the Tarim Basin[J]. Arid Land Geography, 2022, 45(5): 1357-1369. ]
[38]	陈曦, 罗格平, 吴世新, 等. 中亚干旱区土地利用与土地覆被变化[M]. 北京: 科学出版社, 2015: 11-15.
	[Chen Xi, Luo Geping, Wu Shixin, et al. Land use and land cover change in the arid region of Central Asia[M]. Beijing: Science Press, 2015: 11-15. ]
[39]	姚俊强, 曾勇, 李建刚, 等. 中亚区域干湿及极端降水研究综述[J]. 气象科技展, 2020, 10(4): 7-14.
	[Yao Junqiang, Zeng Yong, Li Jiangang, et al. A review of dry-wet climate change and extreme precipitation in Central Asia[J]. Advances in Meteorological Science and Technology, 2020, 10(4): 7-14. ]
[40]	郭利丹, 周海炜, 夏自强, 等. 丝绸之路经济带建设中的水资源安全问题及对策[J]. 中国人口资源与环境, 2015, 25(5): 114-121.
	[Guo Lidan, Zhou Haiwei, Xia Ziqiang, et al. Water resources security and its countermeasure suggestions in building Silk Road Economic Belt[J]. China Population, Resources and Environment, 2015, 25(5): 114-121. ]
[41]	Bothe O, Fraedrich K, Zhu X. Precipitation climate of Central Asia and the large-scale atmospheric circulation[J]. Theoretical and Applied Climatology, 2012, 108: 345-354.
[42]	Lehner B, Döll P. Development and validation of a global database of lakes, reservoirs and wetlands[J]. Journal of hydrology, 2004, 296(1-4): 1-22.
[43]	李均力, 陈曦, 包安明. 2003—2009年中亚地区湖泊水位变化的时空特征[J]. 地理学报, 2011, 66(9): 1219-1229.
	[Li Junli, Chen Xi, Bao Anming. Spatial-temporal characteristics of lake level changes in Central Asia during 2003—2009[J]. Acta Geographica Sinica, 2011, 66(9): 1219-1229. ]
[44]	秦伯强. 近百年来亚洲中部内陆湖泊演变及其原因分析[J]. 湖泊科学, 1999, 11(1): 11-19.
	[Qin Baiqiang. A preliminary investigation of lake evolution in 20-century in inland mainland Asia with relation to the global warming[J]. Journal of Lake Sciences, 1999, 11(1): 11-19. ]
[45]	黄秋霞, 赵勇, 何清. 基于CRU资料的中亚地区气候特征[J]. 干旱区研究, 2013, 30(3): 396-403.
	[Huang Qiuxia, Zhao Yong, He Qing. Climatic characteristics in Central Asia based on CRU data[J]. Arid Zone Research, 2013, 30(3): 396-403. ]
[46]	White C J, Tanton T W, Rycroft D W. The impact of climate change on the water resources of the Amu Darya Basin in Central Asia[J]. Water Resources Management, 2014, 28: 5267-5281.
[47]	吴其慧, 李畅游, 孙标, 等. 1986—2017年呼伦湖湖冰物候特征变化[J]. 地理科学进展, 2019, 38(12): 1933-1943. doi: 10.18306/dlkxjz.2019.12.009
	[Wu Qihui, Li Changyou, Sun Biao, et al. Change of ice phenology in the Hulun Lake from 1986 to 2017[J]. Progress in Geography, 2019, 38(12): 1933-1943. ] doi: 10.18306/dlkxjz.2019.12.009
[48]	Kropáek J, Maussion F, Chen F, et al. Analysis of ice phenology of lakes on the Tibetan Plateau from MODIS data[J]. The Cryosphere, 2013, 7(1): 287-301.
[49]	Reed B, Buddle M, Spencer P, et al. Integration of MODIS derived metrics to assess inter annual variability in snow-pack lake ice, and NDVI in Southwest Alaska[J]. Remote Sensing of Environment, 2009, 113(7): 1443-1452.
[50]	Shen B, Wu J, Zhan S, et al. Spatial variations and controls on the hydrochemistry of surface waters across the Ili-Balkhash Basin, arid Central Asia[J]. Journal of Hydrology, 2021, 600: 126565, doi: 10.1016/j.jhydrol.2021.126565.
[51]	Brown L C, Duguay C R. The response and role of ice cover in lake-climate interactions[J]. Progress in Physical Geography, 2010, 34(5): 671-704.
[52]	姚晓军, 李龙, 赵军, 等. 近10年来可可西里地区主要湖泊冰情时空变化[J]. 地理学报, 2015, 70(7): 1114-1124. doi: 10.11821/dlxb201507008
	[Yao Xiaojun, Li Long, Zhao Jun, et al. Spatial-temporal variations of lake ice in the Hoh Xil region from 2000 to 2011[J]. Acta Geographica Sinica, 2015, 70(7): 1114-1124. ] doi: 10.11821/dlxb201507008
[53]	Cai Y, Ke C Q, Li X G, et al. Variations of lake ice phenology on the Tibetan Plateau from 2001 to 2017 based on MODIS data[J]. Journal of Geophysical Research: Atmospheres, 2019, 124(2): 825-843.
[54]	Hou G, Yuan X, Wu S, et al. Phenological changes and driving forces of lake ice in Central Asia from 2002 to 2020[J]. Remote Sensing, 2022, 14(19): 4992, doi: 10.3390/rs14194992.

湖泊名称	地理位置	面积/km²	年份	海拔/m	湖泊类型
卡拉库尔湖	39°02′24″N，73°25′12″E	380	2015	3914	咸水湖
巴尔喀什湖	46°10′27″N，74°20′25″E	16996	2021	342	东为咸西为淡
查蒂尔-科尔湖	40°37′25″N，75°18′20″E	181	2020	3530	咸水湖
马卡科尔湖	48°45′23″N，85°45′29″E	455	2019	1445	咸水湖
阿拉湖	46°10′17″N，81°35′15″E	2650	2016	347	咸水湖
斋桑泊	48°00′07″N，84°00′05″E	1810	2021	388	淡水湖
咸海	45°53′25″N，60°23′21″E	3300	2008	39	咸水湖

陆地卫星	影像日期（年-月-日）	湖泊名称	陆地卫星	影像日期（年-月-日）	湖泊名称
Landsat7	2016-11-17	卡拉库尔湖	Landsat8	2018-12-09	马卡科尔湖
Landsat7	2016-12-03	巴尔喀什湖	Landsat8	2018-12-25	查蒂尔-科尔湖
Landsat7	2017-01-10	查蒂尔-科尔湖	Landsat8	2019-05-02	咸海
Landsat7	2017-05-12	马卡科尔湖	Landsat8	2019-05-18	斋桑泊
Landsat7	2017-05-28	斋桑泊	Landsat8	2019-11-26	巴尔喀什湖
Landsat7	2017-11-20	咸海	Landsat8	2019-12-12	阿拉湖
Landsat7	2017-12-06	阿拉湖	Landsat8	2019-12-28	卡拉库尔湖
Landsat7	2017-12-22	卡拉库尔湖	Landsat8	2020-01-29	斋桑泊
Landsat8	2018-01-07	巴尔喀什湖	Landsat8	2020-05-04	咸海
Landsat8	2018-05-15	阿拉湖	Landsat8	2020-05-20	卡拉库尔湖

湖泊名称	开始冻结	完全冻结	开始消融	完全消融	冻结期	消融期	湖冰存在期	完全冻结期
巴尔喀什湖	333	360	453	471	29	19	140	94
查蒂尔-科尔湖	283	330	499	518	49	20	237	170
马卡科尔湖	324	336	498	505	13	8	182	163
阿拉湖	261	334	450	482	75	33	223	117
卡拉库尔湖	315	359	493	516	45	23	202	136
咸海	336	-	365	463	-	-	127	-
斋桑泊	326	335	471	479	10	8	153	137
平均值	311	342	477	491	35	18	171	126

湖泊名称	开始冻结	完全冻结	开始消融	完全消融	冻结期	消融期	完全冻结期	湖冰存在期
巴尔喀什湖	-1.44	7.01^**	-2.01	-0.58	8.33^**	1.44	-9.02	0.87^*
查蒂尔-科尔湖	18.00^***	-0.40	2.40	-1.20	-19.00^***	-5.00	4.10^***	-19.20
马卡科尔湖	0.70	0.40	-4.90	-5.20^*	-0.40	-0.30	-5.30^*	-5.90^*
阿拉湖	3.00	6.00^**	-0.90	-5.70^**	3.00	-4.70^**	-7.00^**	-8.70^*
卡拉库尔湖	-0.30	6.80^***	-1.50	0.70	7.00^**	2.20	-8.30	1.00^***
咸海	1.70	-	-	-1.50	-	-	-	-3.20
斋桑泊	1.00	0.90	-4.40^*	-4.00^*	-0.10	-0.40	-4.60^*	-5.00

作者	研究区域	研究数据	数据分辨率	阈值范围/%	时间跨度	优点	缺点
Hou等^[54]	北半球中纬度地区	MODIS地表温度产品	1 d；1 km	20 80	2002—2020年	一天可以使用四幅影像进行湖冰属性的提取	没有进行动态阈值设定，提取精度较差
本文	中亚五国	MODIS地表反射率产品	1 d；250 m	10 90	2000—2020年	数据空间分辨更高，湖冰属性提取精度更高	采用动态阈值提取湖冰信息，耗时长

Temporal and spatial variations of lake ice phenology in large lakes of Central Asia from 2000 to 2020

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 20

References 54

Related Articles 15

Metrics

Comments

Recommended 0

[1]	WANG Shuzhi, WEN Deping. Attribution analysis of runoff change in the Datong River Basin, Qinghai-Tibet Plateau [J]. Arid Land Geography, 2024, 47(2): 203-213.
[2]	CHANG Xuexiang, ZHAO Wenzhi, TIAN Quanyan. Advances in climate change and its impact on the stability of mountain forest ecosystems and hydrological processes in arid regions [J]. Arid Land Geography, 2024, 47(2): 228-236.
[3]	SUI Lu, YAN Zhiming, LI Kaifang, HE Peien, MA Yingjie, ZHANG Rucui. Prediction of habitat quality in the Ili River Valley under the influence of human activities and climate change [J]. Arid Land Geography, 2024, 47(1): 104-116.
[4]	LIU Wenli, CHEN Zhang, ZHAO Yong, LIANG Yuxin. Influences of soil moisture anomalies in May on June precipitation in Central Asia [J]. Arid Land Geography, 2024, 47(1): 38-47.
[5]	TIAN Haowei, CHEN Fulong, LONG Aihua, LIU Jing, HAI Yang. Response and prediction of runoff to climate change in the headwaters of the Bortala River [J]. Arid Land Geography, 2023, 46(9): 1432-1442.
[6]	AI Liya, WANG Yongfang, GUO Enliang, YIN Shan, GU Xiling. NDVI change and its influencing factors of Daqingshan National Nature Reserve based on GEE [J]. Arid Land Geography, 2023, 46(8): 1279-1290.
[7]	HUANG Xin, JIAO Li, MA Xiaofei, WANG Yonghui, Aerman ABULA. Change characteristics of extreme precipitation events in Central Asia in recent 60 years based on RClimDex model [J]. Arid Land Geography, 2023, 46(7): 1039-1051.
[8]	GAO Xiaoyu, HAO Haichao, ZHANG Xueqi, CHEN Yaning. Responses of vegetation water use efficiency to meteorological factors in arid areas of northwest China: A case of Xinjiang [J]. Arid Land Geography, 2023, 46(7): 1111-1120.
[9]	GU Chaolin, SU Hefang, GU Jiang, GAO Zhe, CHEN Lelin, GUO Li. On the new era of earth science [J]. Arid Land Geography, 2023, 46(7): 1176-1195.
[10]	CHEN Shujun,XU Guochang,LYU Zhiping,MA Mingyue,LI Hanyu,ZHU Yuyan. Spatiotemporal variations of fractional vegetation cover and its response to climate change and urbanization in China [J]. Arid Land Geography, 2023, 46(5): 742-752.
[11]	LI Na,WU Yongli,ZHAO Guixiang,QIAN Jinxia,LI Fen,ZHAO Haiying,HAN Pu. Interannual variations of extreme air temperature events and its response to regional warming in Shanxi Province in recent 60 years [J]. Arid Land Geography, 2023, 46(3): 337-348.
[12]	REN Taotao,LI Shuangshuang,DUAN Keqin,HE Jinping. Spatiotemporal variation characteristics and influencing factors of heat wave and precipitation deficit flash drought in the Loess Plateau [J]. Arid Land Geography, 2023, 46(3): 360-370.
[13]	JIN Zizhen, QIN Xiang, ZHAO Qiudong, LI Yanzhao, LIU Yushuo, CHEN Jizu, WANG Lihui, WANG Qiang. Characteristics of runoff variation during ablation season in Laohugou watershed of western Qilian Mountains [J]. Arid Land Geography, 2023, 46(2): 178-190.
[14]	WANG Zichao, WANG Chunlei, MA Junjun. Estimation of downward surface longwave radiation in Heihe River Basin with remotely sensed data [J]. Arid Land Geography, 2023, 46(2): 243-252.
[15]	XIA Huaixia, LIANG Hanwei, CHEN Shuang, WANG Qian, WANG Shenmin. Spatiotemporal coupling of landscape-demographic urbanization in Central Asia [J]. Arid Land Geography, 2023, 46(1): 115-126.