Article
Environmental Sciences
Sanjay Kumar, S. A. Ahmed, Jyothika Karkala
Summary: This study provides a detailed analysis of drought events from 1981 to 2019 using a drought model. The assessment includes frequency, duration, and temporal trends, and utilizes the Standardized Precipitation Index and Standardized Precipitation Evapotranspiration Index at different timescales. The study shows that both indices are effective in evaluating drought conditions, with SPEI providing a more accurate assessment for agricultural and hydrological drought.
GEOCARTO INTERNATIONAL
(2022)
Article
Biodiversity Conservation
Yongyue Ji, Sidong Zeng, QingQing Tang, Lingyun Yan, Shengjun Wu, Yuanchao Fan, Jilong Chen
Summary: This study investigated the spatio-temporal variations and driving factors of ecosystem water use efficiency (WUEe) under different aridity conditions and across vegetation types in China. The results showed an increasing trend of WUEe in humid areas, with forest ecosystems having the highest WUEe followed by shrubland and cropland ecosystems. Leaf Area Index and vapor pressure deficit contributed the most to increases in WUEe, while air temperature contributed the most to WUEe decreases.
ECOLOGICAL INDICATORS
(2023)
Article
Environmental Sciences
Fan Yang, Xingwu Duan, Qiankun Guo, Shaojuan Lu, Kuolin Hsu
Summary: This study analyzed the spatiotemporal variations of meteorological, hydrological, and agricultural droughts and the process of drought propagation in plateau mountainous regions using the Longchuan River Basin as a case study. Results showed the propagation time between different types of droughts was approximately 2 months, and the propagation sequences of droughts varied by altitude, with elevation playing a critical role in the time-space differentiation of drought propagation in plateau mountains.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Engineering, Civil
San Shing Chan, Ida Karlsson Seidenfaden, Karsten Hogh Jensen, Torben Obel Sonnenborg
Summary: The study evaluated the impact of future climate change on drought events in a Danish agricultural catchment, revealing that drought intensity and frequency may increase in the future.
JOURNAL OF HYDROLOGY
(2021)
Article
Environmental Sciences
Janice Shiu, Sarah Fletcher, Dara Entekhabi
Summary: Examining the vulnerability of rainfed agriculture in West Africa to climate change, this study emphasizes the importance of considering spatial and temporal variability in precipitation when evaluating impacts on crop yields. Previous data-driven studies did not capture the high degree of spatial and temporal variability of the West African Monsoon, leading to weak connections found in crop-yield-precipitation relationships. Developing metrics that characterize important temporal features and variability in growing season precipitation, this study shows that the number of days without rain during the monsoon season and the spatial rain pattern are most strongly associated with maize yields.
ENVIRONMENTAL RESEARCH COMMUNICATIONS
(2021)
Article
Environmental Sciences
Shakirudeen Lawal, Bruce Hewitson, Temitope S. Egbebiyi, Ayodeji Adesuyi
Summary: The study evaluated the suitability of vegetation indices to monitor the response of Africa's terrestrial ecoregions to drought, using different remotely sensed derived drought indices and calculating their correlations with vegetation indices spatially, temporally, and seasonally. The results showed variations in the response of vegetation indices and derived drought indices across different timescales and regions in Africa.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Yujiao Wei, Lin Zhu, Yun Chen, Xinyu Cao, Huilin Yu
Summary: This study combined different resolution vegetation index data to investigate the spatiotemporal characteristics of vegetation and drought in Inner Mongolia over the past 38 years. The results showed that grasslands had a stronger response to drought compared to forests.
Article
Engineering, Electrical & Electronic
Sepideh Jalayer, Alireza Sharifi, Dariush Abbasi-Moghadam, Aqil Tariq, Shujing Qin
Summary: Drought, exacerbated by land degradation and climate change, is a significant natural disaster. Monitoring and evaluating droughts are crucial for managing regional drought conditions and protecting the environment. In this study, various remote sensing-based drought indices were used to investigate the spatiotemporal variations of meteorological and agricultural droughts in Iran between 2000 and 2021. The results showed that the combined remote sensing-based drought indices had higher correlation coefficients with in situ drought indices.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Agronomy
Jiujiang Wu, Gang Cheng, Nan Wang, Hongzheng Shen, Xiaoyi Ma
Summary: This study used different indices and methods to investigate drought conditions in the North China Plain and found that the southern region is mainly affected by mild drought, while the northern region experiences more severe drought. Drought risks are increasing in the northern parts and decreasing in the southern parts. Additionally, drought has a lagged impact on winter wheat yield, with the greening stage being the most sensitive.
Article
Environmental Sciences
Yingjie Wu, Wenjun Wang, Wei Li, Shuixia Zhao, Sinan Wang, Tiejun Liu
Summary: This study analyzed the spatiotemporal variations in ecosystem water use efficiency (eWUE) of different vegetation categories in Inner Mongolia, China, and revealed their regional-scale responses and adaptations to drought changes. The results showed that the eWUE of vegetation categories in Inner Mongolia has been increasing over time, indicating the high capacity of drought-adapted ecosystems to recover from drought stress.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Multidisciplinary Sciences
Xiangyi Li, Shilong Piao, Chris Huntingford, Josep Penuelas, Hui Yang, Hao Xu, Anping Chen, Pierre Friedlingstein, Trevor F. Keenan, Stephen Sitch, Xuhui Wang, Jakob Zscheischler, Miguel D. Mahecha
Summary: This study presents a globally applicable framework for identifying drought thresholds for vegetation responses to different levels of soil-moisture deficits. The identified thresholds represent critical inflection points for changing vegetation responses to drought stress and serve as a warning signal for substantial vegetation impacts. The results have implications for assessing the response of land ecosystems to climate change and variability.
NATIONAL SCIENCE REVIEW
(2023)
Article
Multidisciplinary Sciences
Ashim C. Das, Shihab A. Shahriar, Md A. Chowdhury, Md Lokman Hossain, Shahed Mahmud, Md Kamruzzaman Tusar, Romel Ahmed, Mohammed Abdus Salam
Summary: Drought in the north-western region of Bangladesh, a dry and arid area, has not received sufficient attention and mitigation efforts. This study assessed the drought condition using earth observation techniques and found that deforestation and expansion of settlement and agricultural land have led to the reduction of forests and water bodies. The decrease in vegetation indices and increase in land surface temperature indicate a drought-induced shock to the vegetation. The findings have practical implications for agriculture, forests, water development, and economic zone planning.
Article
Agronomy
M. H. Afshar, B. Bulut, E. Duzenli, M. Amjad, M. T. Yilmaz
Summary: In this study, the consistency between meteorological and soil moisture drought indices was analyzed. The most consistent meteorological drought index with soil moisture drought index was identified as the best representative. The results showed that different meteorological drought indices have varying levels of correlation with soil moisture drought index in different climate and land use conditions. The K-Nearest Neighbor method was found to be the most effective in identifying the most correlated meteorological drought index with soil moisture drought index.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Environmental Sciences
Zongxu Yu, Tianye Wang, Ping Wang, Jingjie Yu
Summary: This study analyzed the vegetation dynamics and response to changes in precipitation and soil moisture in midlatitude drylands of the Northern Hemisphere. The results showed an overall greening trend in the dryland vegetation over the past 38 years, with strong correlations between precipitation/soil moisture and vegetation growth.
Article
Chemistry, Analytical
Salman Mirzaee, Ali Mirzakhani Nafchi
Summary: Environmental factors such as drought have a significant impact on vegetation growth, coverage, and ecosystem functions. Monitoring spatiotemporal vegetation responses to drought at a high temporal and adequate spatial resolution is crucial, especially at the local scale. This study investigated the relationship between vegetation growth status and drought in southeastern South Dakota, USA. Landsat 8 OLI images from April to September during 2016-2021 were used, and spectral indices such as NDVI and NMDI were calculated. The results showed a positive relationship between NDVI and vegetation growth, while drought had a negative impact on vegetation coverage.
Article
Environmental Sciences
Arshad Ahmad Khan, Sufyan Ullah Khan, Muhammad Abu Sufyan Ali, Tehseen Javed, Aftab Khan, Jianchao Luo
Summary: This study focuses on evaluating the impact of groundwater salinity and climate change on farmers' revenue in Pakistan, predicting a decreasing trend in future income and shadow prices of water under different climate scenarios. The importance of environmental indicators in decision-making process is emphasized, with consideration of the significance of water use sub-index in the study area.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Agriculture, Multidisciplinary
Shakeel Ahmad, Guo Yun Wang, Ihsan Muhammad, Saqib Farooq, Muhammad Kamran, Irshad Ahmad, Muhammad Zeeshan, Tehseen Javed, Saif Ullah, Jing Hua Huang, Xun Bo Zhou
Summary: This study optimized the concentration of melatonin to alleviate the detrimental effects of drought stress in maize. The results showed that melatonin treatment significantly improved the growth attributes, chlorophyll contents, photosynthetic rate, and grain yield of maize.
CHEMICAL AND BIOLOGICAL TECHNOLOGIES IN AGRICULTURE
(2022)
Article
Environmental Sciences
Xue Wang, Jiahua Zhang, Lan Xun, Jingwen Wang, Zhenjiang Wu, Malak Henchiri, Shichao Zhang, Sha Zhang, Yun Bai, Shanshan Yang, Shuaishuai Li, Xiang Yu
Summary: This study evaluates the effectiveness of machine learning and deep learning models in large-scale crop classification based on time-series satellite data. The NaE feature outperforms other input features, and the Stacking model achieves the highest accuracy in classifying multiple crop types.
Article
Agronomy
Yi Li, Ning Yao, Jiaping Liang, Xiaofang Wang, Yonglin Jia, Fuchang Jiang, De Li Liu, Wei Hu, Hailong He, Tehseen Javed
Summary: Biochar application can improve soil environment, increase crop yields and economic profit in sugar beet planting. An optimum biochar application rate of 10 t ha(-1) per year is recommended for sugar beet planting in arid and semi-arid zones, which can maximize the economic benefits.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Green & Sustainable Science & Technology
Samir Shehu Danhassan, Ahmed Abubakar, Aminu Sulaiman Zangina, Mohammad Hadi Ahmad, Saddam A. Hazaea, Mohd Yusoff Ishak, Jiahua Zhang
Summary: In recent years, Nigeria has experienced an increasing frequency of devastating floods, resulting in considerable loss of lives and properties. The lack of a comprehensive flood policy and coordination among institutions hinders effective governance and prevention efforts. This study recommends the formulation and implementation of a flood policy, as well as decentralizing governance responsibilities to state and local governments.
Article
Environmental Sciences
Daqian Kong, Dekun Yuan, Haojie Li, Jiahua Zhang, Shanshan Yang, Yue Li, Yun Bai, Sha Zhang
Summary: In this study, a hybrid model combining machine learning and a LUE model was developed to estimate GPP, and it showed better performance in GPP prediction and greater adaptability to climate change. The study also found that the hybrid model could reasonably represent the responses of LUE to meteorological variables.
Article
Environmental Sciences
Jiaqi Han, Jiahua Zhang, Shanshan Yang, Ayalkibet M. Seka
Summary: The rapid intensification of drought, known as flash drought, has become a subject of research interest. This study aimed to investigate the characteristics, drivers, and ecological impacts of rapidly intensified droughts compared to slowly intensified ones globally. Through a comparative analysis, three types of droughts were defined based on soil moisture decline rates: flash droughts, general droughts, and creep droughts. The findings suggest that flash droughts were the majority during 1980-2019, indicating a prevalence of rapid transition from energy-limited to water-limited conditions in most regions. Vegetation response analysis showed that flash droughts are more likely to occur during the growing season, leading to faster but relatively minor vegetation deterioration compared to slowly intensified droughts. Additionally, the impact of temperature and precipitation anomalies on drought intensification varied by region.
Article
Environmental Sciences
Lulu Yao, Xiaopeng Wang, Jiahua Zhang, Xiang Yu, Shichao Zhang, Qiang Li
Summary: This study used four deep learning approaches to predict chlorophyll-a concentrations in the Yellow Sea and Bohai Sea in China, and utilized 14 environmental variables for prediction. The results showed that the SA-ConvLSTM model exhibited the highest prediction accuracy.
Article
Environmental Sciences
Wenli Wu, Jiahua Zhang, Yun Bai, Sha Zhang, Shanshan Yang, Malak Henchiri, Ayalkibet Mekonnen Seka, Lkhagvadorj Nanzad
Summary: By using the BEPS model, the study simulated the aboveground biomass (AGB) of the Yellow River Delta from 2000 to 2015 and analyzed the spatiotemporal dynamics of AGB in relation to land use/land cover (LULC) conversion. The results showed that both human and natural driving processes significantly influenced the AGB of coastal wetlands.
Article
Environmental Sciences
Xuan Xiong, Xiaopeng Wang, Jiahua Zhang, Baoxiang Huang, Runfeng Du
Summary: Remote sensing techniques are crucial for shoreline extraction. Convolutional neural networks (CNNs) have been extensively used in this field, but most models overlook global contextual information. To address this, we propose a parallel semantic segmentation network (TCU-Net) combining CNN and Transformer, showing improved extraction accuracy. Our experiments demonstrate that TCU-Net outperforms competing models in all evaluation indices while requiring fewer parameters and computational resources.
Article
Environmental Sciences
He Lu, Yi Ma, Shichao Zhang, Xiang Yu, Jiahua Zhang
Summary: This paper proposes an ECA-TransUnet model for daytime sea fog recognition. It effectively addresses the limitations of CNNs in considering global context information and recognizing sea fog edges. By combining different datasets, the model achieves high accuracy and F1 score in sea fog recognition.
Article
Environmental Sciences
Shan Li, Qiang Li, Jiahua Zhang, Shichao Zhang, Xue Wang, Shanshan Yang, Sha Zhang
Summary: Understanding variations in vegetation phenology is crucial for adapting to climate change and urbanization. However, there has been limited research on phenology in urban areas. This study focuses on Jinan city, China, using a local climate zone approach to investigate spatial and temporal variations in vegetation phenology. The results show that vegetation phenology in the study area generally exhibited advance, delay, and extension trends.
Article
Remote Sensing
Qi Liu, Fengmei Yao, Almudena Garcia-Garcia, Jiahua Zhang, Ji Li, Siyu Ma, Shijie Li, Jian Peng
Summary: This study investigates the differences in response and sensitivity to water stress between three NDVI products under various climate zones, humidity gradients, vegetation types, and tree cover gradients. The results show that in temperate and arid climates, the three NDVIs have higher consistent response fractions to water stress, with NDVI3g being the most sensitive and NDVItr being the least sensitive. In areas with higher humidity and tree cover, the three NDVIs exhibit inconsistent responses and their sensitivities decrease. Additionally, the three NDVIs show higher response fractions and sensitivities in non-forested areas. In cold climates, the response of the three NDVIs to water stress is opposite to that in water-limited areas, with NDVI3g being the most sensitive.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Article
Environmental Sciences
Yangyang Zhao, Jiahua Zhang, Yun Bai, Sha Zhang, Shanshan Yang, Malak Henchiri, Ayalkibet Mekonnen Seka, Lkhagvadorj Nanzad
Summary: This study used machine learning models to reproduce the drought index in Shandong province, China based on multi-source remote sensing data. The performance of different models was compared, and comprehensive drought information was provided through spatial distribution.
Article
Green & Sustainable Science & Technology
Til Prasad Pangali Sharma, Jiahua Zhang, Narendra Raj Khanal, Pashupati Nepal, Bishnu Prasad Pangali Sharma, Lkhagvadorj Nanzad, Yograj Gautam
Summary: This study analyzes vulnerability to flooding among Tharu households in Nepal's Tarai region. The results show that subsistence agriculture-based households with small landholding sizes and less income diversification are highly vulnerable to flooding. Improper resettlement of ex-bonded laborers and land fragmentation are the main factors causing small landholdings. These results can guide government authorities in developing proper flood management strategies.
