Article
Engineering, Civil
Yangxiaoyue Liu, Yaping Yang
Summary: This study systematically investigated the trends of soil moisture and the factors impacting it in China. The results showed that the spatial-temporal variation in soil moisture in China is unbalanced, with drying trends in northern and central northeastern regions and wetting trends in the Kunlun and Tianshan Mountains. The depth of the soil also played a role, with increasing drought in drying regions and decreasing wetness in wetting regions as the depth increased. Precipitation and evaporation were found to be the dominant climatic drivers of soil moisture variability, while human water withdrawal also had a continuous impact on deeper layers.
JOURNAL OF HYDROLOGY
(2023)
Article
Geosciences, Multidisciplinary
Noemi Vergopolan, Justin Sheffield, Nathaniel W. Chaney, Ming Pan, Hylke E. Beck, Craig R. Ferguson, Laura Torres-Rojas, Felix Eigenbrod, Wade Crow, Eric F. Wood
Summary: Soil moisture shows significant spatiotemporal variability at local scale, primarily driven by local variations in soil properties. This local-scale complexity yields multi-scale behavior at different locations and is lost at larger spatial scales.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Engineering, Civil
Hui Lin, Zhongbo Yu, Xuegao Chen, Huanghe Gu, Qin Ju, Tongqing Shen
Summary: This study examines the propagation characteristics of meteorological drought to soil moisture drought on the Tibetan Plateau. The results show that meteorological drought intensifies in winter and annually, while soil moisture drought mitigates at all time scales. The propagation rates are faster in the southeast and slower in the northwest. This research provides valuable insights into the temporal and spatial propagation of droughts, and contributes to the understanding and prediction of soil moisture drought.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
Yongfei Gao, Pengyuan Yang
Summary: Soil water repellency (SWR) in grassland soils can lead to erosion and degradation. This study examined the temporal and spatial distribution of SWR in Inner Mongolia grassland soils and identified the physical-chemical properties that contribute to SWR. The results showed that SWR was correlated with hydrophobic matter content, particle size, and soil moisture. The study emphasized the importance of considering SWR in reducing the risk of soil erosion and degradation in grasslands.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Gang Wang, Guoqing Li, Zhe Liu
Summary: Wind energy is renewable and clean, but the operation of wind turbines can lead to soil drying, which has significant impacts on grassland ecosystems. This study analyzed changes in soil moisture caused by wind farms, focusing on different wind directions and seasons in the grasslands of China. The research found that wind turbine operation causes significant drying of soil, with the drought effect varying according to season and wind direction.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Agronomy
Istvan Hajdu, Ian Yule, Michael White
Summary: This study investigates soil moisture dynamics in the hill country of the East Coast of New Zealand, utilizing the Patitapu Soil Moisture Network to monitor soil moisture variability at different terrain positions. Results show that soil moisture variability decreases with depth, and higher mean soil moisture content is associated with low variability. Additionally, challenges were faced during the network deployment, but the network's temporal stability displayed a certain degree of stability.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Agronomy
Wei Zhao, Meng Yang, Guirui Yu, Zhi Chen, Qiufeng Wang
Summary: This study investigated soil respiration in China's terrestrial ecosystems and its responses to environmental factors, revealing spatial and temporal variations and differences in sensitivity to environmental changes.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Environmental Sciences
Zesu Yang, Qiang Zhang, Yu Zhang, Ping Yue, Liang Zhang, Jian Zeng, Yulei Qi
Summary: As a land-atmosphere coupling hot spot, the northern China climate transition zone exhibits significant spatial and temporal variations in land-atmosphere coupling strength, which are influenced by soil moisture and air temperature.
Article
Agronomy
Shujun Song, Rong Yang, Xiaoru Cui, Qixian Chen
Summary: This study analyzed the spatial distribution and influencing factors of soil nutrients in the semiarid Anding district farming region in northern China. The results showed considerable variability in soil nutrient content, with soil organic matter, total nitrogen, and available phosphorus showing increasing trends from the middle to the northeast and southwest, while available potassium showed the opposite trend. Factors such as soil texture, irrigation method, and water source type significantly influenced the distribution of soil nutrients.
Article
Engineering, Electrical & Electronic
Yan Jia, Shuanggen Jin, Haolin Chen, Qingyun Yan, Patrizia Savi, Yan Jin, Yuan Yuan
Summary: In this article, global soil moisture (SM) is estimated using machine learning (ML) regression aided by a preclassification strategy, resulting in significant improvements in SM estimations with different ML algorithms. The optimal XGBoost model is selected for SM prediction, achieving satisfactory daily and seasonal outcomes at a global scale with a high correlation coefficient value. The study also evaluates the extensive temporal and spatial variations in CYGNSS SM predictions, revealing that reflectivity plays a main role in SM estimation, followed by vegetation, and that roughness may become more important in extremely dry areas. The approach also compares SM predictions from SMAP and CYGNSS against in situ measurements, showing similar low-median unbiased RMSEs and a good performance of CYGNSS-based SM predictions.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Geography, Physical
Evan J. Coopersmith, Michael H. Cosh, Patrick J. Starks, David D. Bosch, Chandra Holifield Collins, Mark Seyfried, Stan Livingston, John Prueger
Summary: The research aimed to determine the stability of soil moisture networks and the required number of sensors, finding that approximately 12 sensors are needed in most environments to approximate the full network average. Temporary networks can be installed to maintain stable relationships and reduce sensor resources.
INTERNATIONAL JOURNAL OF DIGITAL EARTH
(2021)
Article
Forestry
Xi Zhu, Zhibin He, Jun Du, Longfei Chen, Pengfei Lin, Quanyan Tian
Summary: The study identified the variability and stability of throughfall in a spruce forest, and its contribution to near-surface soil water content. It was found that throughfall and soil water content showed spatial variability but stable patterns over time. The research also highlighted the importance of precipitation characteristics, soil heterogeneity, and vegetation characteristics in determining the stability of soil water content increments in semi-arid mountain forest ecosystems.
FOREST ECOLOGY AND MANAGEMENT
(2021)
Article
Engineering, Geological
Zonglin Zhang, Runqiang Zeng, Xingmin Meng, Shufen Zhao, Jianhua Ma, Hong Wang, Xiangpei Meng, Hailong Yin, Yunqi Yao, Weiwei Guo, Dengju Xie, Bin He
Summary: This study explores the factors controlling differential soil actual evaporation at different parts of a slope. It discovers the impact of historical rainfall on soil erosion, which leads to significant differences in soil moisture and evaporation at different locations on the slope.
ENGINEERING GEOLOGY
(2022)
Article
Environmental Sciences
Binru Zhao, Qiang Dai, Lu Zhuo, Shaonan Zhu, Qi Shen, Dawei Han
Summary: This study compares several state-of-the-art satellite soil moisture products for landslide applications, with results showing that the SMAP L4 product is beneficial for continuous landslide monitoring and has more rational spatial distribution of the correlation between soil moisture and antecedent cumulated rainfall. The Bayesian analysis on infiltration events indicates that the 'SMAP L4 root zone soil moisture'-derived events improve the prior knowledge of landslide occurrence probability, highlighting its potential for landslide hazard assessment.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Agronomy
Zhiming Han, Qiang Huang, Shengzhi Huang, Guoyong Leng, Qingjun Bai, Hao Liang, Lu Wang, Jing Zhao, Wei Fang
Summary: This study investigates the spatial-temporal dynamics of agricultural drought in the Loess Plateau under global warming and regional vegetation restoration project. Results show that increasing precipitation has not alleviated agricultural drought, while increasing temperature is the direct factor inducing agricultural drought. Moreover, the implementation of vegetation restoration project further aggravates the risk of agricultural drought, providing valuable insights for understanding the impact of large-scale vegetation restoration projects.
AGRICULTURAL WATER MANAGEMENT
(2021)
Article
Meteorology & Atmospheric Sciences
Eunsang Cho, Heewon Moon, Minha Choi
JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN
(2015)
Article
Geosciences, Multidisciplinary
Eunsang Cho, Aoqi Zhang, Minha Choi
TERRESTRIAL ATMOSPHERIC AND OCEANIC SCIENCES
(2016)
Article
Environmental Sciences
Eunsang Cho, Chun-Hsu Su, Dongryeol Ryu, Hyunglok Kim, Minha Choi
REMOTE SENSING OF ENVIRONMENT
(2017)
Article
Meteorology & Atmospheric Sciences
Hyunglok Kim, Muhammad Zohaib, Eunsang Cho, Yann H. Kerr, Minha Choi
ADVANCES IN METEOROLOGY
(2017)
Article
Environmental Sciences
Eunsang Cho, Samuel E. Tuttle, Jennifer M. Jacobs
Article
Water Resources
Samuel E. Tuttle, Jennifer M. Jacobs, Carrie M. Vuyovich, Carrie Olheiser, Eunsang Cho
HYDROLOGICAL PROCESSES
(2018)
Article
Environmental Sciences
Simon Kraatz, Jennifer M. Jacobs, Ronny Schroeder, Eunsang Cho, Michael Cosh, Mark Seyfried, John Prueger, Stan Livingston
Article
Engineering, Electrical & Electronic
Ronny Schroeder, Jennifer M. Jacobs, Eunsang Cho, Carrie M. Olheiser, Michael M. DeWeese, Brian A. Connelly, Michael H. Cosh, Xinhua Jia, Carrie M. Vuyovich, Samuel E. Tuttle
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2019)
Article
Environmental Sciences
Eunsang Cho, Jennifer M. Jacobs, Xinhua Jia, Simon Kraatz
WATER RESOURCES RESEARCH
(2019)
Article
Environmental Sciences
Simon Kraatz, Jennifer M. Jacobs, Ronny Schroder, Eunsang Cho, Heather J. Miller, Carrie M. Vuyovich
REMOTE SENSING OF ENVIRONMENT
(2020)
Article
Environmental Sciences
Eunsang Cho, Jennifer M. Jacobs, Carrie M. Vuyovich
WATER RESOURCES RESEARCH
(2020)
Article
Environmental Sciences
Eunsang Cho, Jennifer M. Jacobs, Ronny Schroeder, Samuel E. Tuttle, Carrie Olheiser
REMOTE SENSING OF ENVIRONMENT
(2020)
Article
Environmental Sciences
Eunsang Cho, Jennifer M. Jacobs
WATER RESOURCES RESEARCH
(2020)
Article
Engineering, Civil
Eunsang Cho, Adam G. Hunsaker, Jennifer M. Jacobs, Michael Palace, Franklin B. Sullivan, Elizabeth A. Burakowski
Summary: Understanding the spatial variability of the snowpack is essential for predicting hydrological processes in cold regions. This study uses UAS lidar-based snow depth and static variables to analyze field-scale spatial structures of snow depth and identify primary controls over open terrain and forests, with plant functional type and terrain roughness as significant contributors. Soil variables also play a crucial role in controlling snow depth spatial variations, suggesting the importance of spatial variations in soil variables in thermal transfer processes among soil, snowpack, and surface-atmosphere.
JOURNAL OF HYDROLOGY
(2021)
Article
Engineering, Electrical & Electronic
Chalita Forgotson, Peggy E. O'Neill, Marco L. Carrera, Stephane Belair, Narendra Narayan Das, Iliana E. Mladenova, John D. Bolten, Jennifer M. Jacobs, Eunsang Cho, Vanessa M. Escobar
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2020)
Article
Engineering, Civil
Arfan Arshad, Ali Mirchi, Javier Vilcaez, Muhammad Umar Akbar, Kaveh Madani
Summary: High-resolution, continuous groundwater data is crucial for adaptive aquifer management. This study presents a predictive modeling framework that incorporates covariates and existing observations to estimate groundwater level changes. The framework outperforms other methods and provides reliable estimates for unmonitored sites. The study also examines groundwater level changes in different regions and highlights the importance of effective aquifer management.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Lihua Chen, Jie Deng, Wenzhe Yang, Hang Chen
Summary: A new grid-based distributed karst hydrological model (GDKHM) is developed to simulate streamflow in the flood-prone karst area of Southwest China. The results show that the GDKHM performs well in predicting floods and capturing the spatial variability of karst system.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Faruk Gurbuz, Avinash Mudireddy, Ricardo Mantilla, Shaoping Xiao
Summary: Machine learning algorithms have shown better performance in streamflow prediction compared to traditional hydrological models. In this study, researchers proposed a methodology to test and benchmark ML algorithms using artificial data generated by physically-based hydrological models. They found that deep learning algorithms can correctly identify the relationship between streamflow and rainfall in certain conditions, but fail to outperform traditional prediction methods in other scenarios.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Yadong Ji, Jianyu Fu, Bingjun Liu, Zeqin Huang, Xuejin Tan
Summary: This study distinguishes the uncertainty in drought projection into scenario uncertainty, model uncertainty, and internal variability uncertainty. The results show that the estimation of total uncertainty reaches a minimum in the mid-21st century and that model uncertainty is dominant in tropical regions.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Z. R. van Leeuwen, M. J. Klaar, M. W. Smith, L. E. Brown
Summary: This study quantifies the effectiveness of leaky dams in reducing flood peak magnitude using a transfer function noise modelling approach. The results show that leaky dams have a significant but highly variable impact on flood peak magnitude, and managing expectations should consider event size and type.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Zeda Yin, Yasaman Saadati, M. Hadi Amini, Linlong Bian, Beichao Hu
Summary: Combined sewer overflows pose significant threats to public health and the environment, and various strategies have been proposed to mitigate their adverse effects. Smart control strategies have gained traction due to their cost-effectiveness but face challenges in balancing precision and computational efficiency. To address this, we propose exploring machine learning models and the inversion of neural networks for more efficient CSO prediction and optimization.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Qimou Zhang, Jiacong Huang, Jing Zhang, Rui Qian, Zhen Cui, Junfeng Gao
Summary: This study developed a N-cycling model for lowland rural rivers covered by macrophytes and investigated the N imports, exports, and response to sediment dredging. The findings showed a considerable N retention ability in the study river, with significant N imports from connected rivers and surrounding polders. Sediment dredging increased particulate nitrogen resuspension and settling rates, while decreasing ammonia nitrogen release, denitrification, and macrophyte uptake rates.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Xue Li, Yingyin Zhou, Jian Sha, Man Zhang, Zhong-Liang Wang
Summary: High-resolution climate data is crucial for predicting regional climate and water environment changes. In this study, a two-step downscaling method was developed to enhance the spatial resolution of GCM data and improve the accuracy for small basins. The method combined medium-resolution climate data with high-resolution topographic data to capture spatial and temporal details. The downscaled climate data were then used to simulate the impacts of climate change on hydrology and water quality in a small basin. The results demonstrated the effectiveness of the downscaling method for spatially differentiated simulations.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Tongqing Shen, Peng Jiang, Jiahui Zhao, Xuegao Chen, Hui Lin, Bin Yang, Changhai Tan, Ying Zhang, Xinting Fu, Zhongbo Yu
Summary: This study evaluates the long-term interannual dynamics of permafrost distribution and active layer thickness on the Tibetan Plateau, and predicts future degradation trends. The results show that permafrost area has been decreasing and active layer thickness has been increasing, with an accelerated degradation observed in recent decades. This has significant implications for local water cycle processes, water ecology, and water security.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Chi Zhang, Xu Zhang, Qiuhong Tang, Deliang Chen, Jinchuan Huang, Shaohong Wu, Yubo Liu
Summary: Precipitation over the Tibetan Plateau is influenced by systems such as the Asian monsoons, the westerlies, and local circulations. The Indian monsoon, the westerlies, and local circulations are the main systems affecting precipitation over the entire Tibetan Plateau. The East Asian summer monsoon primarily affects the eastern Tibetan Plateau. The Indian monsoon has the greatest influence on precipitation in the southern and central grid cells, while the westerlies have the greatest influence on precipitation in the northern and western grid cells. Local circulations have the strongest influence on the central and eastern grid cells.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Manuel Almeida, Antonio Rodrigues, Pedro Coelho
Summary: This study aimed to improve the accuracy of Total Phosphorus export coefficient models, which are essential for water management. Four different models were applied to 27 agroforestry watersheds in the Mediterranean region. The modeling approach showed significant improvements in predicting the Total Phosphorus diffuse loads.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Yutao Wang, Haojie Yin, Ziyi Wang, Yi Li, Pingping Wang, Longfei Wang
Summary: This study investigated the distribution and transformation of dissolved organic nitrogen (DON) in riverbed sediments impacted by effluent discharge. The authors found that the spectral characteristics of dissolved organic matter (DOM) in surface water and sediment porewater could be used to predict DON variations in riverbed sediments. Random forest and extreme gradient boosting machine learning methods were employed to provide accurate predictions of DON content and properties at different depths. These findings have important implications for wastewater discharge management and river health.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Saba Mirza Alipour, Kolbjorn Engeland, Joao Leal
Summary: This study assesses the uncertainty associated with 100-year flood maps under different scenarios using Monte Carlo simulations. The findings highlight the importance of employing probabilistic approaches for accurate and secure flood maps, with the selection of probability distribution being the primary source of uncertainty in precipitation.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Janine A. de Wit, Marjolein H. J. van Huijgevoort, Jos C. van Dam, Ge A. P. H. van den Eertwegh, Dion van Deijl, Coen J. Ritsema, Ruud P. Bartholomeus
Summary: The study focuses on the hydrological consequences of controlled drainage with subirrigation (CD-SI) on groundwater level, soil moisture content, and soil water potential. The simulations show that CD-SI can improve hydrological conditions for crop growth, but the success depends on subtle differences in geohydrologic characteristics.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Constantin Seidl, Sarah Ann Wheeler, Declan Page
Summary: Water availability and quality issues will become increasingly important in the future due to climate change impacts. Managed Aquifer Recharge (MAR) is an effective water management tool, but often overlooked. This study analyzes global MAR applications and identifies the key factors for success, providing valuable insights for future design and application.
JOURNAL OF HYDROLOGY
(2024)