Arid

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Characteristics of atmospheric nitrous oxide observed at Mt. Waliguan GAW global station in the inland Eurasia during eighteen years 期刊论文
发表期刊: SCIENCE CHINA-EARTH SCIENCES. 出版年: 2024, 卷号: 67, 期号: 1, 页码: 92-104
作者:  Liang, Miao;  Fang, Shuangxi;  Liu, Lixin;  Zhang, Yong;  Wang, Jianqiong;  Liu, Shuo;  Wang, Hongyang;  Deng, Liangchun
收藏  |  浏览/下载:13/0  |  提交时间:2024/10/04
Nitrous oxide (N2O)  Observation  Long-term trend  Seasonal variation  Interannual variability  
Spatiotemporal variability characteristics of extreme climate events in Xinjiang during 1960-2019 期刊论文
发表期刊: ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH. 出版年: 2023, 卷号: 30, 期号: 20, 页码: 57316-57330
作者:  Dong, Tong;  Liu, Jing;  Liu, Dahai;  He, Panxing;  Li, Zheng;  Shi, Mingjie;  Xu, Jia
收藏  |  浏览/下载:22/0  |  提交时间:2024/09/29
Extreme temperature event  Extreme precipitation event  Space-time variation  Trend analysis  Xinjiang  
Dynamic Characteristics of Meteorological Drought and Its Impact on Vegetation in an Arid and Semi-Arid Region 期刊论文
发表期刊: WATER. 出版年: 2023, 卷号: 15, 期号: 22
作者:  Zhang, Weijie;  Wang, Zipeng;  Lai, Hexin;  Men, Ruyi;  Wang, Fei;  Feng, Kai;  Qi, Qingqing;  Zhang, Zezhong;  Quan, Qiang;  Huang, Shengzhi
收藏  |  浏览/下载:14/0  |  提交时间:2024/09/29
Vegetation Health Index (VHI)  vegetation types  variation trend  standardized multiple linear regression  Inner Mongolia (IM)  
Analysis of Runoff Variation and Future Trends in a Changing Environment: Case Study for Shiyanghe River Basin, Northwest China 期刊论文
发表期刊: SUSTAINABILITY. 出版年: 2023, 卷号: 15, 期号: 3
作者:  Shao, Yiqing;  Dong, Zengchuan;  Meng, Jinyu;  Wu, Shujun;  Li, Yao;  Zhu, Shengnan;  Zhang, Qiang;  Zheng, Ziqin
收藏  |  浏览/下载:20/0  |  提交时间:2024/09/29
runoff variation  evolution trend  wavelet analysis  runoff prediction  changing environment  
Multiwater Index Synergistic Monitoring of Typical Wetland Water Bodies in the Arid Regions of West-Central Ningxia over 30 Years 期刊论文
发表期刊: WATER. 出版年: 2023, 卷号: 15, 期号: 1
作者:  Pang, Haiwei;  Wang, Xinwei;  Hou, Ruiping;  You, Wanxue;  Bian, Zhen;  Sang, Guoqing
收藏  |  浏览/下载:10/0  |  提交时间:2024/09/29
water index  surface water area  remote sensing  interannual variation  trend variation  correlation  
Insights into Spatiotemporal Variations in the NPP of Terrestrial Vegetation in Africa from 1981 to 2018 期刊论文
发表期刊: REMOTE SENSING. 出版年: 2023, 卷号: 15, 期号: 11
作者:  Wang, Qianjie;  Liang, Liang;  Wang, Shuguo;  Wang, Sisi;  Zhang, Lianpeng;  Qiu, Siyi;  Shi, Yanyan;  Shi, Jin;  Sun, Chen
收藏  |  浏览/下载:13/0  |  提交时间:2024/09/29
carbon sink  NPP  Africa  trend analysis  coefficient of variation  Mann-Kendall mutation test  time series  wavelet analysis  
Drought monitoring based on Standardized Precipitation Index and Standardized Precipitation Evapotranspiration Index in the arid zone of Balochistan province, Pakistan 期刊论文
发表期刊: ARABIAN JOURNAL OF GEOSCIENCES. 出版年: 2021, 卷号: 14, 期号: 1
作者:  Qaisrani, Zahid Naeem;  Nuthammachot, Narissara;  Techato, Kuaanan;  Asadullah
收藏  |  浏览/下载:16/0  |  提交时间:2021/03/08
Drought characterization  Rainfall  Evapotranspiration  Temporal variation  Trend analysis  
Analysis of the spatio-temporal variability of soil water dynamics in an arid catchment in South Africa 期刊论文
发表期刊: GEODERMA REGIONAL. 出版年: 2021, 卷号: 25
作者:  Mengistu, Achamyeleh G.;  Woyessa, Yali E.;  van Rensburg, Leon D.;  Tesfuhuney, Weldemichael A.
收藏  |  浏览/下载:20/0  |  提交时间:2021/07/30
Arid catchments  Multiple soil classes  Soil water dynamics  Soil water anomaly  South Africa  Spatio-temporal variation  Trend analysis  
Temporal and Spatial Variations of Soil Moisture Over Xinjiang Based on Multiple GLDAS Datasets 期刊论文
发表期刊: FRONTIERS IN EARTH SCIENCE. 出版年: 2021, 卷号: 9
作者:  Hu, Zengyun;  Chen, Xi;  Li, Yaoming;  Zhou, Qiming;  Yin, Gang
收藏  |  浏览/下载:54/0  |  提交时间:2021/07/30
linear trend  soil moisture  spatial and temporal variation  GLDAS product  Xinjiang  
内蒙古地区草地NPP时空变化及预测 期刊论文
发表期刊: 福建农林大学学报. 自然科学版. 出版年: 2021, 卷号: 50, 期号: 4, 页码: 553-561
作者:  滑永春;  马秀枝;  萨如拉
收藏  |  浏览/下载:34/0  |  提交时间:2022/03/18
NPP  Inner Mongolia grassland  net primary productivity  variation trend  prediction