新疆春季融雪洪水危险性动态评价研究

doi:10.13866/j.azr.2021.04.06

Abstract

Abstract:

Xinjiang is an area with abundant snow and frequent snowmelt floods. In the context of global climate change, the frequency of flood disasters in Xinjiang, especially snowmelt floods, has increased, and flood losses have increased. Based on the mechanism of the spring snowmelt flood in Xinjiang, this study investigates snow depth, elevation, and water system distance, combined with historical disaster data, and uses an objective information model and geographical information system technology on the risk of Xinjiang spring snowmelt flood disasters. A quantitative evaluation was conducted, and a zoning map of the risk of snowmelt flood in Xinjiang in spring was obtained. Furthermore, the dynamic hazard factors of daily positive accumulated temperature and daily precipitation were used to determine static Xinjiang spring snowmelt flood risk zoning, and a dynamic evaluation system of spring snowmelt flood risk was established, which dynamically analyzes the daily occurrence of spring snowmelt floods in Xinjiang. We found that the high-risk areas of spring snowmelt floods in Xinjiang are primarily distributed in the Ili River Valley, Bozhou, the northern slope of the middle Tianshan Mountain, the northern part of Tacheng, and the Altay region in northern Xinjiang. Additionally, the dynamic evaluation test of the snowmelt flood disaster in the Ili area of Xinjiang in mid-to-early March 2005 found that the accuracy of the dynamic evaluation result of the snowmelt flood risk was high, and it can be applied to the dynamic evaluation of snowmelt floods in Xinjiang. This study provides support for the prevention and control of spring snowmelt floods and water resource management in Xinjiang.

Key words: snowmelt flood, risk assessment, flood forecast, information model, Xinjiang

ZHOU Gang,CUI Manyi,LI Zhe,ZHANG Shiqiang. Dynamic evaluation of the risk of the spring snowmelt flood in Xinjiang[J].Arid Zone Research, 2021, 38(4): 950-960.

Figures/Tables 11

Fig. 1

Tab. 1

Tab. 2

Tab. 3

Tab. 4

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Tab. 5

Fig. 6

References 50

[1]	杨金明, 李诚志, 房世峰, 等. 新疆地区季节性融雪洪水模拟与预报研究[J]. 新疆大学学报(自然科学版), 2019, 36(1):80-88.
	[ Yang Jinming, Li Chengzhi, Fang Shifeng, et al. A review of seasonal snow-melt flood simulation and forecast in Xinjiang[J]. Journal of Xinjiang University (Natural Science Edition), 2019, 36(1):80-88. ]
[2]	陈亚宁, 李稚, 范煜婷, 等. 西北干旱区气候变化对水文水资源影响研究进展[J]. 地理学报, 2014, 69(9):1295-1304. doi: 10.11821/dlxb201409005
	[ Chen Yaning, Li Zhi, Fan Yuting, et al. Research progress on the impact of climate change on water resources in the arid region of Northwest China[J]. Acta Geographica Sinica, 2014, 69(9):1295-1304. ] doi: 10.11821/dlxb201409005
[3]	王辉. 融雪性洪水三维可视化系统研究与应用[D]. 石河子: 石河子大学, 2016.
	[ Wang Hui. Study on Three-dimensional Visualization of Snowmelt Flood[D]. Shihezi: Shihezi University, 2016. ]
[4]	房世峰. 新疆融雪径流预报及其不确定性研究[D]. 乌鲁木齐: 新疆大学, 2010.
	[ Fang Shifeng. A Study on Snowmelt Runoff Forecasting and Its Uncertainty Analysis in Xinjiang[D]. Urumqi: Xinjiang University, 2010. ]
[5]	李琼. 洪水灾害风险分析与评价方法的研究及改进[D]. 武汉: 华中科技大学, 2012.
	[ Li Qiong. The Research and Improvement of Risk Analysis and Evaluation Method on Flood Disaster[D]. Wuhan: Huazhong University of Science and Technology, 2012. ]
[6]	陈伟. 山区村镇滑坡灾害风险评估研究[D]. 武汉: 武汉大学, 2019.
	[ Chen Wei. Study on Landslide Risk Assessment in Mountainous Villages and Towns[D]. Wuhan: Wuhan University, 2019. ]
[7]	唐川, 朱静. 基于GIS的山洪灾害风险区划[J]. 地理学报, 2005, 60(1):87-94.
	[ Tang Chuan, Zhu Jing. A GIS based regional torrent risk zonation[J]. Acta Geographica Sinica, 2005, 60(1):87-94. ]
[8]	焦俊超, 马安青, 李福建. 基于GIS的崂山区洪水危险等级模糊评判研究[J]. 水土保持通报, 2010, 30(5):161-164.
	[ Jiao Junchao, Ma Anqin, Li Fujian. Fuzzy evaluation of flood risk rating in Laoshan district based on GIS[J]. Bulletin of Soil and Water Conservation, 2010, 30(5):161-164. ]
[9]	王鹏, 邓红卫. 基于GIS和Logistic回归模型的洪涝灾害区划研究[J]. 地球科学进展, 2020, 35(10):1064-1072.
	[ Wang Peng, Deng Hongwei. Study on flood hazard risk zoning based on GIS and logistic regression model[J]. Advances in Earth Science, 2020, 35(10):1064-1072. ]
[10]	李林涛, 徐宗学, 庞博, 等. 中国洪灾风险区划研究[J]. 水利学报, 2012, 43(1):22-30.
	[ Li Lintao, Xu Zongxue, Pang Bo, et al. Flood risk zoning in China[J]. Journal of Hydraulic Engineering, 2012, 43(1):22-30. ]
[11]	田华, 杨晓丹, 张国平, 等. 2009年3月中旬新疆融雪型洪水气象成因分析[J]. 气象, 2011, 37(5):590-598.
	[ Tian Hua, Yang Xiaodan, Zhang Guoping, et al. The possible weather causes for snowmelt flooding in Xinjiang in Mid-March 2009[J]. Meteorological Monthly, 2011, 37(5):590-598. ]
[12]	吴素芬, 刘志辉, 邱建华. 北疆地区融雪洪水及其前期气候积雪特征分析[J]. 水文, 2006, 26(6):90-93.
	[ Wu Sufen, Liu Zhihui, Qiu Jianhua. Analysis of the characteristics of snowmelt flood and previous climate snow condition in North Xinjiang[J]. Journal of China Hydrology, 2006, 26(6):90-93. ]
[13]	Adamowski J F. Development of a short-term river flood forecasting method for snowmelt driven floods based on wavelet and cross-wavelet analysis[J]. Journal of Hydrology, 2008, 353(3):247-266. doi: 10.1016/j.jhydrol.2008.02.013
[14]	Chen S H, Lin Y H, Chang L C, et al. The strategy of building a flood forecast model by neuro-fuzzy network[J]. Hydrological Processes, 2006, 20(7):1525-1540. doi: 10.1002/(ISSN)1099-1085
[15]	马虹, 程国栋. SRM融雪径流模型在西天山巩乃斯河流域的应用实验[J]. 科学通报, 2003, 48(19):2088-2093.
	[ Ma Hong, Cheng Guodong. Application experiment of SRM snowmelt runoff model in Gongnaisi River Basin of west Tianshan[J]. Chinese Science Bulletin, 2003, 48(19):2088-2093. ]
[16]	刘俊峰, 杨建平, 陈仁升, 等. SRM融雪径流模型在长江源区冬克玛底河流域的应用[J]. 地理学报, 2006, 61(11):1149-1159.
	[ Liu Junfeng, Yang Jianping, Chen Rensheng, et al. The simulation of snowmelt runoff model in the Dongkemadi River Basin, headwater of the Yangtze River[J]. Acta Geographica Sinica, 2006, 61(11):1149-1159. ]
[17]	李兰海, 尚明, 张敏生, 等. APHRODITE降水数据驱动的融雪径流模拟[J]. 水科学进展, 2014, 25(1):53-59.
	[ Li Lanhai, Shang Ming, Zhang Minsheng, et al. Snowmelt runoff simulation driven by APHRODITE precipitation dataset[J]. Advances in Water Science, 2014, 25(1):53-59. ]
[18]	Zhao Q D, Liu Z H, Ye B S, et al. A snowmelt runoﬀ forecasting model coupling WRF and DHSVM[J]. Hydrology and Earth System Sciences, 2009, 13(10):1897-1906. doi: 10.5194/hess-13-1897-2009
[19]	乔鹏, 秦艳, 刘志辉. 基于能量平衡的分布式融雪径流模型[J]. 水文, 2011, 31(3):22-26, 35.
	[ Qiao Peng, Qin Yan, Liu Zhihui. A spatially distributed snowmelt model based on energy balance[J]. Journal of China Hydrology, 2011, 31(3):22-26, 35. ]
[20]	闫彦, 刘志辉, 叶朝霞. 新疆北疆地区融雪洪水灾害预警模型的建立与验证[J]. 干旱区地理, 2009, 32(4):552-557.
	[ Yan Yan, Liu Zhihui, Ye Zhaoxia. Establishment and validation of early-warning model for snowmelt flood in North Xinjiang[J]. Arid Land Geography, 2009, 32(4):552-557. ]
[21]	Fang S F, Xu L D, Pei H, et al. An integrated approach to snowmelt flood forecasting in water resource management[J]. IEEE Transactions on Industrial Informatics, 2014, 10(1):548-558. doi: 10.1109/TII.2013.2257807
[22]	Fang S F, Xu L D, Zhu Y Q, et al. An integrated information system for snowmelt flood early-warning based on internet of things[J]. Information Systems Frontiers, 2015, 27(2):321-335.
[23]	李培基. 中国季节积雪资源的初步评价[J]. 地理学报, 1988, 43(2):108-119. doi: 10.11821/xb198802002
	[ Li Peiji. Preliminary evaluation of seasonal snow resources of China[J]. Acta Geographica Sinica, 1988, 43(2):108-119. ] doi: 10.11821/xb198802002
[24]	王建, 李文君. 中国西部大尺度流域建立分带式融雪径流模拟模型[J]. 冰川冻土, 1999, 21(3):264-268.
	[ Wang Jian, Li Wenjun. Establishing simulated model of snowmelt runoff for large scale basin in Western China[J]. Journal of Glaciology and Geocryology, 1999, 21(3):264-268. ]
[25]	阿不力米提江·阿布力克木, 陈春艳, 玉素甫·阿不都拉, 等. 2001-2012年新疆融雪型洪水时空分布特征[J]. 冰川冻土, 2015, 37(1):226-232.
	[ Ablimitjan Ablikim, Chen Chunyan, Yusup Abdula, et al. The temporal and spatial distribution features of snowmelt flood events in Xinjiang from 2001 to 2012[J]. Journal of Glaciology and Geocryology, 2015, 37(1):226-232. ]
[26]	刘鑫, 赵鲁强, 杨静, 等. 新疆春季融雪型洪水分布特征研究[J]. 安徽农业科学, 2016, 44(30):165-168.
	[ Liu Xin, Zhao Luqiang, Yang Jing, et al. Study on distribution features of spring snowmelt flooding in Xinjiang[J]. Journal of Anhui Agricultural Sciences, 2016, 44(30):165-168. ]
[27]	Che T, Li X, Jin R, et al. Snow depth derived from passive microwave remote-sensing data in China[J]. Annals of Glaciology, 2008, 49(1):145-154. doi: 10.3189/172756408787814690
[28]	Zhao Q D, Ding Y J, Wang J, et al. Projecting climate change impacts on hydrological processes on the Tibetan Plateau with model calibration against the glacier inventory data and observed streamflow[J]. Journal of Hydrology, 2019, 573:60-81. doi: 10.1016/j.jhydrol.2019.03.043
[29]	Price D T, Mckenney D W, Nalder I A, et al. A comparison of two statistical methods for spatial interpolation of Canadian monthly mean climate data[J]. Agricultural & Forest Meteorology, 2000, 101(2-3):81-94.
[30]	林忠辉, 莫兴国, 李宏轩, 等. 中国陆地区域气象要素的空间插值[J]. 地理学报, 2002, 57(1):47-56.
	[ Lin Zhonghui, Mo Xinguo, Li Hongxuan, et al. Comparison of three spatial interpolation methods for climate variables in China[J]. Acta Geographica Sinica. 2002, 57(1):47-56. ]
[31]	王志杰, 迪里木拉提, 李从林. 天山北麓低山丘陵地区春季融雪洪水的研究——以三工河古河道为例[J]. 干旱区地理, 2002, 25(4):302-308.
	[ Wang Zhijie, Dilimulati, Li Conglin. Study on the spring floods caused by snow melt water in low-mountain and hill regions of northern piedmont of the Tianshan Mountains: A case study in the paleochannels of Sangong River[J]. Arid Land Geography, 2002, 25(4):302-308. ]
[32]	梁春成, 杨乃康, 陈亚宁. 天山宁家河春季融雪洪水成因初探[J]. 干旱区地理, 1993, 16(3):75-79.
	[ Liang Chuncheng, Yang Naikang, Chen Yaning. A preliminary study on snowmelt flood of Ninjia River, Tianshan Mountains[J]. Arid Land Geography, 1993, 16(3):75-79. ]
[33]	俞永旺, 徐冰, 白东明, 等. 天山北坡雀尔沟河春季融雪洪水的成因分析[J]. 干旱区研究, 1995, 12(3):15-20.
	[ Yu Yongwang, Xu Bing, Bai Dongming, et al. Analysis on the cause of spring melted snow flood in Qiurgou River[J]. Arid Zone Research, 1995, 12(3):15-20. ]
[34]	沈永平, 苏宏超, 王国亚, 等. 新疆冰川、积雪对气候变化的响应(II): 灾害效应[J]. 冰川冻土, 2013, 35(6):1355-1370.
	[ Shen Yongping, Su Hongchao, Wang Guoya, et al. The responses of glaciers and snow cover to climate change in Xinjiang(II): Hazards Effects[J]. Journal of Glaciology and Geocryology, 2013, 35(6):1355-1370. ]
[35]	Yin K L. Statistical prediction model for slope instability of metamorphosed rocks [C]// Proc 5th International Symposium on Landslides, Lausanne, 1988.
[36]	黄润秋, 徐向宁, 唐川, 等. 地质环境评价与地质灾害管理[M]. 北京: 科学出版社, 2008: 151-179.
	[ Huang Runqiu, Xu Xiangning, Tang Chuan, et al. Geological Environment Assessment and Geological Disaster Management[M]. Beijing: Science Press, 2008: 151-179. ]
[37]	Vijith H, Madhu G. Application of gis and frequency ratio model in mapping the potential surface failure sites in the poonjar sub-watershed of meenachil river in western ghats of kerala[J]. Journal of the Indian Society of Remote Sensing, 2007, 35(3):275-285. doi: 10.1007/BF03013495
[38]	Akbar T A, Ha S R. Landslide hazard zoning along Himalayan Kaghan Valley of Pakistan by integration of GPS, GIS, and remote sensing technology[J]. Landslides, 2011, 8(4):527-540. doi: 10.1007/s10346-011-0260-1
[39]	孟庆华, 孙炜锋, 王涛. 陕西凤县滑坡易发性评价研究[J]. 地质调查与研究, 2013, 36(2):136-145.
	[ Meng Qinghua, Sun Weifeng, Wang Tao. Study on the landslide susceptibility assessment in Feng County, Shaanxi Province[J]. Geological Survey and Research, 2013, 36(2):136-145. ]
[40]	Lee M J, Park I, Won J S, et al. Landslide hazard mapping considering rainfall probability in Inje, Korea[J]. Geomatics Natural Hazards and Risk, 2016, 7(1):424-446. doi: 10.1080/19475705.2014.931307
[41]	刘鑫, 赵鲁强, 刘娜, 等. 伊犁河流域春季融雪型洪水危险性评价与区划[J]. 气象科技进展, 2016, 6(6):35-41.
	[ Liu Xin, Zhao Luqiang, Liu Na, et al. Risk evaluation of the spring snowmelt flood in river basin and it’s mapping[J]. Advances in Meteorological Science and Technology, 2016, 6(6):35-41. ]
[42]	Marinec J, Rango A. Parameter values for snowmelt runoff modeling[J]. Journal of Hydrology, 1986, 84(3-4):197-219. doi: 10.1016/0022-1694(86)90123-X
[43]	程卫帅. 山洪灾害临界雨量研究综述[J]. 水科学进展, 2013, 24(6):901-908.
	[ Cheng Weishuai. A review of rainfall thresholds for triggering flash floods[J]. Advances in Water Science, 2013, 24(6):901-908. ]
[44]	闫宝伟, 刘昱, 江慧宁, 等. 考虑降雨空间异质性的动态临界雨量预警指标推求[J]. 水利学报, 2020, 51(3):342-348.
	[ Yan Baowei, Liu Yu, Jiang Huining, et al. Study on dynamic critical rainfall warning index considering spatial heterogeneity of rainfall[J]. Journal of Hydraulic Engineering, 2020, 51(3):342-348. ]
[45]	张世才, 褚建华, 张同泽. 祁连山区山洪灾害临界雨量计算和风险区划分[J]. 水土保持学报, 2007(5):196-200.
	[ Zhang Shicai, Chu Jianhua, Zhang Tongze. Calculation of critical rainfall amounts and risk area partition of flood disaster in QiLian Mountain Area[J]. Journal of Soil and Water Conservation, 2007(5):196-200. ]
[46]	江远安, 刘精, 邵伟玲, 等. 1961-2013年新疆不同时间尺度降水量的气候特征及其历史演变规律[J]. 冰川冻土, 2014, 36(6):1363-1375.
	[ Jiang Yuanan, Liu Jing, Shao Weiling, et al. Climatic characteristics and historical evolution of precipitation in different time scales in Xinjiang from 1961 to 2013[J]. Journal of Glaciology and Geocryology, 2014, 36(6):1363-1375. ]
[47]	郑宁, 刘琼, 黄观, 等. 新疆三大山区可降水量时空分布特征[J]. 干旱区地理, 2019, 42(1):77-84.
	[ Zheng Ning, Liu Qiong, Huang Guan, et al. Temporal and spatial distribution characteristics of total precipitable water vapor in three mountain areas of Xinjiang[J]. Arid Land Geography, 2019, 42(1):77-84. ]
[48]	沈永平. 冰雪灾害[M]. 北京: 气象出版社, 2009: 1-200.
	[ Shen Yongping. Snow Disaster[M]. Beijing: China Meteorological Press, 2009: 1-200. ]
[49]	张俊兰, 罗继, 王荣梅. 近20 a新疆升温融雪(冰)型洪水频次时空变化及大气环流型分析[J]. 干旱区研究, 2021, 38(2):339-350.
	[ Zhang Junlan, Luo Ji, Wang Rongmei. Combined analysis of the spatiotemporal variations in snowmelt(ice) flood frequency in Xinjiang over 20 years and atmospheric circulation patterns[J]. Arid Zone Research, 2021, 38(2):339-350. ]
[50]	曾子悦, 许继军, 王永强. 基于遥感空间信息的洪水风险识别与动态模拟研究进展[J]. 水科学进展, 2020, 31(3):463-472.
	[ Zeng Ziyue, Xu Jijun, Wang Yongqiang. Advances in flood risk identification and dynamic modelling based on remote sensing spatial information[J]. Advances in Water Science, 2020, 31(3):463-472. ]

评价因子	分类	灾害占比/％	像元占比/％	信息量
多年平均2月底	0~2	13.0	42.4	-1.108
最大雪深/cm	2~8	9.0	29.4	-1.184
	8~15	22.0	11.2	0.675
	15~22	19.0	8.2	0.840
	22~28	20.0	6.0	1.204
	>28	17.0	2.8	1.840
高程/m	<0	0.0	0.1	-∞
	0~500	5.0	4.2	0.174
	500~1000	42.0	17.3	0.887
	1000~1500	44.0	30.0	0.383
	1500~2000	4.0	9.8	-0.896
	2000~2500	2.0	4.7	-0.854
	2500~3000	1.0	7.7	-2.041
	3000~3500	2.0	6.7	-1.21
	>3500	0.0	19.5	-∞
水系距离/m	0~3000	45.0	9.0	1.609
	3000~6000	15.0	8.4	0.580
	6000~9000	9.0	7.8	0.143
	9000~14000	14.0	11.1	0.232
	>14000	17.0	63.7	-1.319

条件1(静态危险区化)	条件2(动态致灾因子)	危险等级
高危险区(静态)	5级升温伴随大雨	极高危险区(雨雪混合)
	5级升温	极高危险区(升温)
	4级升温伴随大雨	极高危险区(雨雪混合)
	4级升温	极高危险区(升温)
	3级升温	高危险区(升温)
	2级升温	中危险区
	1级升温	低危险区
中危险区(静态)	5级升温伴随大雨	高危险区(雨雪混合)
	5级升温	高危险区(升温)
	4级升温伴随大雨	高危险区(雨雪混合)
	4级升温	高危险区(升温)
	3级升温	中危险区
	2级升温	中危险区
	1级升温	低危险区
低危险区(静态)	5级升温	中危险区
	4级升温	中危险区
	3级升温	极低危险区
	2级升温	极低危险区
	1级升温	极低危险区
极低危险区(静态)	5级升温	极低危险区
	4级升温	极低危险区
	3级升温	极低危险区
	2级升温	极低危险区
	1级升温	极低危险区

危险性等级	面积 /km²	面积占比/%	历史灾害频次	灾害频次占比/%
高危险区	91181	5.6	52	52
中危险区	173393	10.6	30	30
低危险区	505318	30.9	18	18
极低危险区	864270	52.9	0	0

Dynamic evaluation of the risk of the spring snowmelt flood in Xinjiang

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 11

References 50

Related Articles 15

Metrics

Comments

Recommended 0

[1]	LI Xiaofeng, HUI Tingting, LI Yaoming, MAO Jiefei, WANG Guangyu, FAN Lianlian. Effects of different grazing management strategies on plant diversity in the mountain grassland of Xinjiang, China [J]. Arid Zone Research, 2024, 41(1): 124-134.
[2]	WANG Xiang, LYU Haishen, ZHU Yonghua, GUO Chenyu. Application and comparison of two channel flood routing methods in Xinjiang mountainous areas [J]. Arid Zone Research, 2023, 40(8): 1240-1247.
[3]	WANG Chao, MA Zhancang, PAN Chengnan, WU Xingyue, SONG Wendan, YAN Ping. New records of Amaranthus in Xinjiang [J]. Arid Zone Research, 2023, 40(8): 1280-1288.
[4]	Gulistan ANWAR, Turgun NURDIN, Dilhumar ABDUKERIM, Mamtimin SULAYMAN. New records of mosses of Leskeaceae to Xinjiang [J]. Arid Zone Research, 2023, 40(8): 1289-1293.
[5]	LI Hong, LI Zhongqin, CHEN Puchen, PENG Jiajia. Spatio-temporal variation of snow cover in Altai Mountains of Xinjiang in recent 20 years and its influencing factors [J]. Arid Zone Research, 2023, 40(7): 1040-1051.
[6]	XU Junli, HAN Haidong, WANG Jian. Recharge sources and potential source areas of atmospheric PM_2.5 in Xinjiang [J]. Arid Zone Research, 2023, 40(6): 874-884.
[7]	XUE Yibo, HUANG Shuangyan, ZHANG Xiaoxiao, LEI Jiaqiang, LI Shengyu. Study on the strong winter airborne dustfall mixed rain and snow events in Xinjiang, China in 2018 [J]. Arid Zone Research, 2023, 40(5): 681-690.
[8]	ZHAO Keming, SUN Mingjing, LI Xia, SHI Junjie, AN Dawei, XU Tingting. Comparison of the distribution and applicability of two typical atmospheric diffusion indices in Xinjiang [J]. Arid Zone Research, 2023, 40(5): 691-702.
[9]	ZHAO Yuzhi,YANG Jianjun. Spatio-temporal pattern of water resource carrying capacity, coupling and coordination of subsystems in southern Xinjiang [J]. Arid Zone Research, 2023, 40(2): 213-223.
[10]	DONG Hanlin, WANG Wenting, XIE Yun, Aydana YESINALI, JIANG Yuantian, XU Jiaqi. Climate dry-wet conditions, changes, and their driving factors in Xinjiang [J]. Arid Zone Research, 2023, 40(12): 1875-1884.
[11]	WU Xiaodan,LUO Min,MENG Fanhao,SA Chula,YIN Chaohua,BAO Yuhai. New characteristics of spatio-temporal evolution of extreme climate events in Xinjiang under the background of warm and humid climate [J]. Arid Zone Research, 2022, 39(6): 1695-1705.
[12]	JIANG Lei,ZHAO Yi,ZHANG Pengwei,HE Liang,BAI Xiang. Study on influence degree of phreatic evaporation based on hydrogen and oxygen isotope characteristics [J]. Arid Zone Research, 2022, 39(6): 1793-1800.
[13]	Mamtimin SULAYMAN,Alanur KAHAR,LIANG Lingwei,Mamurbieke MAKAN,WANG Pengjun. Discovery of a moss family Schistostegaceae in Xinjiang, China [J]. Arid Zone Research, 2022, 39(6): 1852-1855.
[14]	Gulistan ANWAR,WANG Pengjun,Alanur KAHAR,Mamtimin SULAYMAN. Buxbaumia viridis, a newly recorded species in Xinjiang, China and its historical correction in China’s distribution [J]. Arid Zone Research, 2022, 39(6): 1856-1861.
[15]	LU Yayan,XU Xiaoliang,LI Jicai,FENG Xiaohua,LIU Luyuan. Research on the spatio-temporal variation of carbon storage in the Xinjiang Tianshan Mountains based on the InVEST model [J]. Arid Zone Research, 2022, 39(6): 1896-1906.