Article
Environmental Sciences
Yanzhong Li, Jiacheng Zhuang, Peng Bai, Wenjun Yu, Lin Zhao, Manjie Huang, Yincong Xing
Summary: Remotely sensed precipitation estimates (RSPEs) are crucial in monitoring drought in ungauged or sparsely gauged areas. This study evaluated the performance of three long-term RSPEs (PERSIANN, CHIRPS, and MSWEP) in capturing meteorological drought variations across China. Results showed that the RSPEs generally captured the spatial patterns and trends of in situ observational precipitation data. However, there were skill divergences in capturing the drought characteristics among the different basins. The findings underscore the importance of using multiple RSPEs for drought monitoring.
Article
Environmental Sciences
Han Tang, Tong Wen, Peng Shi, Simin Qu, Lanlan Zhao, Qiongfang Li
Summary: This study analyzes the spatial and temporal evolution characteristics of drought in Southwest China from 1968 to 2018 using various indices, verifying the correlation between drought and different indices. The results indicate a worsening trend of drought in Southwest China, especially in the 21st century.
Article
Geography, Physical
Hao Sun, Qian Xu, Yunjia Wang, Zhiyu Zhao, Xiaohan Zhang, Hao Liu, Jinhua Gao
Summary: Agricultural drought is a serious threat to global food security. A new soil moisture dataset was created in this study by enhancing satellite remote sensing data with machine learning. The study revealed the spatial and temporal dynamics of agricultural drought in China and showed a decreasing trend in drought severity from 1982 to 2020. The findings contribute to a better understanding of agricultural drought and highlight the need for improved satellite soil moisture datasets with faster updates and higher resolution.
GISCIENCE & REMOTE SENSING
(2023)
Article
Biodiversity Conservation
Catherine Morfopoulos, Jean-Francois Muller, Trissevgeni Stavrakou, Maite Bauwens, Isabelle De Smedt, Pierre Friedlingstein, Iain Colin Prentice, Pierre Regnier
Summary: This study highlights the rapid protective response of plants to stress through the emission of short-lived biogenic volatile organic compounds, which is reflected as the largest positive HCHO anomalies in remote sensing data, particularly evident in forested regions.
GLOBAL CHANGE BIOLOGY
(2022)
Article
Meteorology & Atmospheric Sciences
Jiayun Li, Chuanhao Wu, Chuan-An Xia, Pat J. -F. Yeh, Bill X. Hu, Guoru Huang
Summary: This study systematically analyzed the relationships between severity and duration of meteorological and hydrological droughts in the upper Huai River Basin in China, using the Standardized Precipitation Index and Standardized Runoff Index. The results showed a drying trend in the upstream area and a weaker correlation between SPI and SRI in downstream areas due to increasing human activities. The drier climatic conditions were found to be the main reason for the increasing threshold for triggering hydrological droughts from upstream to downstream.
THEORETICAL AND APPLIED CLIMATOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Mercedes M. Salvia, Nilda Sanchez, Maria Piles, Romina Ruscica, Angel Gonzalez-Zamora, Esteban Roitberg, Jose Martinez-Fernandez
Summary: The study evaluated the performance of the satellite-based soil moisture agricultural drought index (SMADI) for agricultural drought detection in Argentina, comparing it with other indices. SMADI showed the best overall performance and suitability for an early warning system. SSMA had the lowest FPR but also the lowest TPR, making it unsuitable for an alert system. Field precipitation-based indices were not suitable for agricultural drought detection in Argentina.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Environmental Sciences
Zhaoqiang Zhou, Suning Liu, Yibo Ding, Qiang Fu, Yao Wang, Hejiang Cai, Haiyun Shi
Summary: This study analyzed the relationship between vegetation dynamics and drought in the Pearl River Basin using long time series data. The results showed that solar-induced chlorophyll fluorescence (SIF) had a more significant response to meteorological drought compared to the normalized difference vegetation index (NDVI). The vegetation response time also varied among different vegetation types. Furthermore, the El Nino Southern Oscillation, Pacific Decadal Oscillation, and sunspots were identified as important driving factors in the response relationship between drought and vegetation.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Environmental Sciences
Min Wang, Zhi Ding, Chaoyang Wu, Lisheng Song, Mingguo Ma, Pujia Yu, Bingqing Lu, Xuguang Tang
Summary: This study examined the ecosystem water-use efficiency (WUE) in karst and non-karst areas of Southwest China in response to seasonal droughts. The research found that the karst area had lower WUE compared to the non-karst area, with more severe impacts of drought, especially during summer and spring droughts. The study also highlighted the importance of understanding the coupling relationship between global carbon and water cycles in the face of increasing drought frequency and severity due to future climate change.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Mahmood Fooladi, Mohammad H. Golmohammadi, Hamid R. Safavi, Vijay P. Singh
Summary: This study used a fusion-based framework for meteorological drought modeling, combining remote sensing data and climate change scenarios. Through clustering and artificial intelligence models, a more accurate evaluation of drought was achieved. Results showed that the Random Forest model performed the best in predicting drought in the Gavkhooni basin in Iran.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Engineering, Civil
Qingxia Lin, Zhiyong Wu, Yuliang Zhang, Tao Peng, Wenjuan Chang, Jiali Guo
Summary: Exploring the propagation from meteorological drought to hydrological drought and its potential influence factors is crucial for early warning of hydrological drought. A case study in the Xijiang River Basin (XRB), South China, was conducted using the Standardized Precipitation Index (SPI) and Standardized Runoff Index (SRI) series to represent meteorological and hydrological drought. The propagation regulations of drought variables, geographical location, and lag-time were established, and hydrological drought prediction from 2021 to 2050 was performed. The findings can help policy-makers manage the early stages of hydrological drought based on meteorological drought conditions and reduce the negative impact of drought hazards.
JOURNAL OF HYDROLOGY
(2023)
Article
Computer Science, Interdisciplinary Applications
Ahmad Farid Nabizada, Iman Rousta, Gholamali Mozaffari, Marjan Dalvi, Haraldur Olafsson, Anna Siedliska, Piotr Baranowski, Przemyslaw Tkaczyk, Jaromir Krzyszczak
Summary: Despite the vulnerability to global warming and the significant population living there, there have been limited studies on the relationship between meteorological parameters and vegetation in the Amu Darya and Kabul River Basins of Afghanistan's eastern regions. This study utilized data from MODIS, GPM, and GLDAS for the years 2000 to 2021 and examined the associations through various indices and regression analysis. The results showed an upward trend in vegetation coverage over the study period, with high correlations found between vegetation and soil moisture, precipitation, and the drought index OIDI. The orography was also found to have a significant influence on the spatial distribution of temperature and vegetation conditions.
EARTH SCIENCE INFORMATICS
(2023)
Article
Engineering, Civil
Peng Sun, Ruilin Liu, Rui Yao, Hao Shen, Yaojin Bian
Summary: Meteorological drought is strongly linked to agricultural drought and can be used as an early warning to enhance mitigation of agricultural drought. However, the response of agricultural drought to meteorological drought is not well understood. The study analyzed the evolution characteristics of meteorological drought and agricultural drought using standardized indices and calculated the drought response time and patterns in different climatic zones and underlying surface conditions in China. The findings show a high frequency of meteorological drought and agricultural drought in southeastern China and the Tibetan Plateau, with increasing trends in agricultural drought in southeastern China and meteorological drought in central and southern China. The highest probability of compound droughts was found in northern China and the regions with a semi-humid warm temperate climate. The sensitivity of agricultural drought response is higher in southeastern China and eastern parts of the Tibetan Plateau, with shorter response times. The response time is shorter in summer and autumn, and longer in winter and spring. Moreover, the response time is longer and more spatially variable in rainfed agricultural areas compared to irrigated areas. Double- and triple-crop irrigated areas have significantly shorter response times than single-crop irrigated areas, and higher crop intensity leads to shorter response times.
JOURNAL OF HYDROLOGY
(2023)
Article
Engineering, Civil
Sanghyun Lee, Hoori Ajami
Summary: This study presents a new approach for detecting baseflow droughts and their recovery from precipitation droughts. The analysis of data from unaffected catchments across the United States reveals that baseflow droughts are more severe and have longer durations than precipitation droughts. Baseflow shows delayed responses to precipitation droughts and its recovery depends on post-drought climate conditions. Additionally, the study highlights the increasing severity and duration of baseflow droughts due to climate change.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
Yibo Ding, Jiatun Xu, Xiaowen Wang, Huanjie Cai, Zhaoqiang Zhou, Yanan Sun, Haiyun Shi
Summary: The study found that there is a weaker propagation relationship in arid environments compared to moist environments, with a stronger relationship between the two types of drought observed in summer and autumn than in spring and winter. Climate is not the only factor impacting drought propagation, as land cover and topographic features, as well as human activity, may also influence the propagation time and intensity from meteorological to hydrological drought.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Environmental Sciences
Jingyun Guan, Junqiang Yao, Moyan Li, Jianghua Zheng
Summary: Human activities have significant impacts on vegetation dynamics in the ecologically fragile region of Xinjiang, China. Improved NDVI prediction models and residual analysis methods were used to quantitatively assess these impacts, revealing that human activities mainly contribute to the improvement of vegetation, particularly for crops. Factors such as cultivated area, primary industry GDP, and population promote NDVI increase, while factors like animal husbandry population, agricultural population, and livestock number lead to NDVI decrease. The evolutionary trend of anthropogenic impacts on vegetation dynamics in Xinjiang shows a dominance of anti-persistence, with positive impacts continuing to increase, especially for crops, shrubs, grasslands, and alpine vegetation.
