Article
Green & Sustainable Science & Technology
Guanghui Yuan, Yu Zhang, Erchen Li, Yubao Liu
Summary: The study compares the micrometeorological elements, radiation budget, and surface energy distribution of four sites with different land cover types in the Heihe River basin. It aims to investigate the differences in land-atmosphere interaction and the biophysical effects of land use and cover change on surface temperature. The desert site exhibits the highest soil surface temperature, while the non-desert sites show cooling effects during daytime. The differences in cooling effects are attributed to various factors, such as albedo, radiation, and heat flux.
Article
Remote Sensing
Shuo Xu, Dongdong Wang, Shunlin Liang, Yuling Liu, Aolin Jia
Summary: This study evaluated nine gridded near-surface temperature products and analyzed their spatial heterogeneity and clear-sky bias using extensive measurements collected at Heihe River Basin. The MXD21 product had the lowest root mean square error (RMSE) but a high percentage of missing values. All-weather skin temperature products showed comparable accuracy for cloudy-sky and clear-sky cases. AMSR2 had the lowest RMSE for air temperature, but a high percentage of invalid data, while ERA5 had a worse accuracy but high spatial resolution and gap-free data coverage. Soil and air temperatures had higher accuracies than skin temperature, and different variables showed variations in spatiotemporal heterogeneity and clear-sky biases.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Article
Geosciences, Multidisciplinary
Lifei Wei, Shuang Tian, Qikai Lu, Yanfei Zhong, Yongqi Zheng, Yujie Lu, Zhiwei Xiao
Summary: Estimating the spatial distribution of soil organic carbon (SOC) content in the middle and upper reaches of the Heihe River Basin using multivariate factors and ensemble learning. The results demonstrate that the use of ensemble learning improves the estimation performance of SOC content. Environmental factors contribute significantly to the estimation, with mean annual precipitation presenting the highest contribution. The study maps the SOC content in different soil horizons and analyzes the effects of land covers, providing insights for ecological conservation and regional sustainable development.
Article
Agronomy
Feinan Xu, Weizhen Wang, Chunlin Huang, Jiemin Wang, Zhiguo Ren, Jiaojiao Feng, Leilei Dong, Yang Zhang, Jian Kang
Summary: Observations of Optical and Microwave scintillometer (OMS) systems in the Heihe River Basin provide valuable data for improving the calculation of meteorological structure parameters and estimating fluxes. The results can also be used to validate the Penman-Monteith-Leuning Version 2 (PML-V2) scheme.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Environmental Sciences
Qianqian Gou, Wenting Guo, Yuda Li, Jing Liu, Guohua Wang
Summary: The study investigated the dynamic changes in soil moisture content in the Heihe River Basin and analyzed the reasons supporting the water diversion plan. The results showed significant variations in soil moisture content across different landscapes and soil depths. The implementation of the water diversion plan has led to increased soil moisture content in the upper and middle reaches, but fluctuations and declines in the lower reach, particularly during the growing season.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Engineering, Civil
Weiming Kang, Jie Tian, Yao Lai, Shaoyuan Xu, Chao Gao, Weijie Hong, Yongxu Zhou, Lina Pei, Chansheng He
Summary: Preferential flow (PF) is an important process affecting hydrological, geochemical, and ecological cycles. However, the factors that control PF in data-scarce high and cold mountainous areas are not fully understood. This study analyzed the occurrence and spatial-temporal control of PF in a cold, mountainous environment using soil moisture observations in the upper reaches of the Heihe River Basin, Northwest China. The results show that vegetation, soil properties, and water conditions jointly affect the occurrence of PF, and the influence of initial soil moisture on PF varies across different sand content.
JOURNAL OF HYDROLOGY
(2022)
Article
Engineering, Electrical & Electronic
Jingping Wang, Xiaodan Wu, Rongqi Tang, Qicheng Zeng, Zheng Li, Jianguang Wen, Qing Xiao
Summary: This study evaluated the performance of three models, random forests, cumulative distribution function, and Kalman filter, in correcting errors of satellite albedo products. The results showed significant improvements in the accuracy of the corrected albedo products, with random forests performing the best.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Ji He, Qing-Min Li, Wen-Chuan Wang, Dong-Mei Xu, Yu-Rong Wan
Summary: The Latent Heat Flux (LE) is an important component of surface water heat transfer and hydrological cycle, and its analysis in different surface conditions provides valuable insights for water resource management and crop water demand estimation. This study conducted a time series analysis and statistics of LE using eddy correlation observation data in the complex topography of the Heihe River Basin. The results show that there are significant differences in the daily distribution, variation trend, and influencing factors of LE when the underlying surface types are greatly different. Temperature and carbon dioxide concentration (CO2) were found to be the dominant factors affecting latent heat flux.
Article
Astronomy & Astrophysics
Xiaozhuang Geng, Boyang Li, Xiaoduo Pan, Zhihao Wei, Xuebin Yang, Kuo Liao, Yaokui Cui
Summary: In this study, a method was proposed to generate hourly continuous evapotranspiration (ET) using geostationary satellite images. The method achieved acceptable performance in estimating ET at regional scale, and contributes to a better understanding of water and energy exchange between the atmosphere and the land surface.
EARTH AND SPACE SCIENCE
(2022)
Article
Environmental Sciences
Ying Zhang, Jinliang Hou, Chunlin Huang
Summary: Precipitation monitoring is crucial for earth system modeling and environmental management. Traditional gauge measurements and satellite-derived rainfall have limitations in spatial representativeness and resolution. This study proposes an integration framework using multiple soil moisture datasets and machine learning methods to improve the accuracy of rainfall estimation, resulting in a successful rainfall product.
Article
Agronomy
Jose Darlon Nascimento Alves, Aristides Ribeiro, Yhasmin Paiva Rody, Rodolfo Araujo Loos
Summary: This study evaluated the energy fluxes and decoupling factor in pasture lands in the Brazilian Cerrado. The results showed that latent heat flux predominated during the wet season, while the ratio of latent heat flux to net radiation decreased during the dry season. The study also found that pasture lands were highly coupled to the atmosphere during the dry season, and the observed surface decoupling factor was lower in 2017-2018 due to the control of stomatal conductance during the unexpected drought.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Environmental Sciences
Ting Lian, Xiaozhou Xin, Zhiqing Peng, Fugen Li, Hailong Zhang, Shanshan Yu, Huiyuan Liu
Summary: This study explores the effect and applicability of the EFAF method for correcting 1 km coarse resolution ET. The evaluation results show that the EFAF method outperforms the IPUS algorithm and provides more accurate ET estimates.
Article
Green & Sustainable Science & Technology
Zhihui Li, Yang Yang, Siyu Gu, Boyu Tang, Jing Zhang
Summary: This research utilized remote sensing images for soil property monitoring and found that the algorithm performed well in predicting organic carbon and bulk density.
Article
Environmental Sciences
Guibin Hao, Hongbo Su, Renhua Zhang, Jing Tian, Shaohui Chen
Summary: This study proposed an improved method for estimating soil moisture based on fusing land-surface temperature data and utilizing a two-source normalized soil thermal inertia model. The results showed that the proposed method increased the accuracy of temperature prediction and provided a more comprehensive characterization of soil moisture at different depths. It has the potential to support hydrological model simulations and improve agricultural management.
Article
Computer Science, Interdisciplinary Applications
Xin Li, Ling Zhang, Yi Zheng, Dawen Yang, Feng Wu, Yong Tian, Feng Han, Bing Gao, Hongyi Li, Yanlin Zhang, Yingchun Ge, Guodong Cheng, Bojie Fu, Jun Xia, Changqing Song, Chunmiao Zheng
Summary: Watershed system models are important for understanding complex river basin systems. The study developed a watershed system model for the Heihe River basin in Northwest China, which proved reliable in simulating eco-hydrological processes and exploring interactions between water, ecology, and socioeconomy. This research contributes to a better understanding of the nexus between water, land, air, plants, and humans at the watershed scale and has implications for sustainable development in endorheic river basins.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Biodiversity Conservation
Yifan Zhao, Weiwei Zhu, Panpan Wei, Peng Fang, Xiwang Zhang, Nana Yan, Wenjun Liu, Hao Zhao, Qirui Wu
Summary: This study focuses on the fine classification of grassland resources in Zambia using remote sensing technology and the random forest algorithm. The results show that the optimized feature combination improves the accuracy of classification, with elevation contributing the most to the improvement.
ECOLOGICAL INDICATORS
(2022)
Article
Geosciences, Multidisciplinary
Weiwei Zhu, Gang Lei, Xupeng He, Tadeusz W. Patzek, Moran Wang
Summary: The fractal dimension and multifractal spectrum are widely used to characterize the complexity of natural fractures. However, systematic investigations considering the impacts of different fracture geometrical properties and system sizes on the fractal and multifractal characterization are insufficient. The study finds positive correlations between fracture lengths, orientations, and system sizes with the fractal dimension and singularity exponent difference. System size has the most significant impact. Fracture positions are uncorrelated with the fractal dimension, indicating that a single fractal dimension cannot capture the complexity caused by clustering effects. However, the singularity exponent difference has a strong negative correlation with fracture positions, suggesting that it can capture the difference caused by clustering effects.
JOURNAL OF STRUCTURAL GEOLOGY
(2022)
Article
Chemistry, Applied
Xinwei Li, Shaobo Tan, Weiwei Zhu, Zhicheng Zhang
Summary: In this study, a series of P(VDF-DB)-graft-thiophenol copolymers were successfully synthesized by introducing thiophenol to reduce the high dielectric loss of PVDF-based ferroelectric polymers. The resulting copolymers showed linear-like dielectric behavior with significantly reduced dielectric loss, indicating improved dielectric energy storage performance. This study provides a facile strategy for chemical modification and regulation of the dielectric behavior of PVDF-based ferroelectric fluoropolymers.
REACTIVE & FUNCTIONAL POLYMERS
(2022)
Article
Materials Science, Ceramics
Weiwei Zhu, Shengming Guo, Haohao Zou, Guoqing Zu, Ying Han, Xu Ran
Summary: The effects of ZrO2 content on the crystallization kinetics, void formation mechanism, and mechanical properties of Dy2O3-Al2O3-SiO2 glass were investigated. Increasing ZrO2 content promoted bulk crystallization and eliminated void formation during crystallization. Moreover, the flexural strength of glassy samples increased with increasing ZrO2 content. Crystallization further enhanced the mechanical properties of the glass ceramics.
CERAMICS INTERNATIONAL
(2022)
Article
Environmental Sciences
Xiwang Zhang, Weiwei Zhu, Nana Yan, Panpan Wei, Yifan Zhao, Hao Zhao, Liang Zhu
Summary: This study developed a classification method based on the Random Forest algorithm and a feature optimization method to identify grassland types, and proposed an approach to quantitatively evaluate the ecosystem service value (ESV) of the grassland ecosystem in Ethiopia. The results showed that the total ESV of grassland ecosystems was USD 105,221.72 million, with ESV4 being the highest. Spatial analysis showed that the differences in ESV were influenced by grassland types, elevation, slope, and rainfall. The zoning map indicated that the areas from approximately the fourth to sixth level have better growth status and development potential.
Article
Chemistry, Multidisciplinary
Feng Xiao, Weiwei Zhu, Xiangwei Meng, Gang S. Chen
Summary: This paper presents a parameter-identification method for rod structures with different connections, accurately identifying the cross-sectional and joint damage for a rigid frame.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Interdisciplinary Applications
Weiwei Zhu, Siarhei Khirevich, Tadeusz W. Patzek
Summary: This paper introduces a comprehensive C++ software package called HatchFrac for stochastic modeling of fracture networks in two and three dimensions. The software uses inverse cumulative distribution function (CDF) and acceptance-rejection methods to generate random variables following stochastic distributions commonly used in discrete fracture network (DFN) modeling. The software also incorporates the multilayer perceptron (MLP) machine learning approach to generate random variables following any sampling distribution. The Newman-Ziff algorithm is extended to determine clusters in the fracture networks and improve coding efficiency when combined with the block method. The software has various applications, including percolation analysis, fracture intensity analysis, and flow and connectivity analysis.
COMPUTERS AND GEOTECHNICS
(2022)
Article
Engineering, Electrical & Electronic
Zhong Li, Meirong Zhang, Ying Zhang, Tao Lu, Weiwei Zhu, Zhicheng Zhang
Summary: This research explores the energy harvesting performance of poly(vinylidene trifluoroethylene) (P(VDF-TrFE)) films with different chemical compositions and thicknesses. The results show that these films can meet certain power consumption levels and are suitable for self-sustained sensing systems, with tunable system parameters.
IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION
(2022)
Article
Materials Science, Multidisciplinary
Mingkun Jiang, Ying Han, Xiangyi Chen, Guoqing Zu, Weiwei Zhu, Xu Ran
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY
(2022)
Article
Environmental Sciences
Xueliang Feng, Shen Tan, Yun Dong, Xin Zhang, Jiaming Xu, Liheng Zhong, Le Yu
Summary: Bamboo forest is a unique forest landscape mainly composed of herbal plants. It has a stronger capability to increase terrestrial carbon sinks than woody forests, playing a special role in absorbing atmospheric CO2. Accurate and timely bamboo forest maps are necessary for understanding and quantifying their contribution to the carbon and hydrological cycles.
Article
Biotechnology & Applied Microbiology
Wenwen Yu, Haicun Zhou, Xueliang Feng, Xiaoqin Liang, Dengwen Wei, Tianhong Xia, Bin Yang, Long Yan, Xiaochen Zhao, Hongbin Liu
Summary: Anastomotic leakage is a serious complication following gastrointestinal surgery, and there are currently no reliable treatment options available. However, recent studies have shown that stem cell-derived secretome can enhance anastomotic healing. In this study, a fibrin glue delivery system loaded with mesenchymal stem cells (MSCs)-derived secretome was developed and shown to significantly promote healing of intestinal anastomosis, with great potential for clinical translation.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2023)
Article
Engineering, Geological
Weiwei Zhu, Zhiqiang Chen, Yafan Yang, Wenbo Gong, Moran Wang
Summary: It is rarely investigated that the impacts of T-type intersections on the connectivity and flow results in complex fracture networks. The results show that kinematic fracture networks tend to connect more fractures with fewer intersections and yield better connectivity than the original ones. Most kinematic fracture networks have larger permeability in single-phase flow simulation and higher cumulative gas production in two-phase flow simulation than original fracture networks.
ENGINEERING GEOLOGY
(2023)
Article
Geochemistry & Geophysics
Weiwei Zhu, Zhiqiang Chen, Xupeng He, Zhiguo Tian, Moran Wang
Summary: In this study, a discrete element-lattice Boltzmann method was used to simulate the hydro-mechanical behavior in hydraulic fracturing. Different influential factors were considered, and their impacts on the initiation and propagation of hydraulic fractures were evaluated. It was found that factors such as injection rates, heterogeneity of rock strengths, and the presence of natural fractures significantly influenced the complexity of generated fractures.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2023)
Review
Materials Science, Multidisciplinary
Ying Han, Zheng-Hong Liu, Chun-Bo Wu, Yu Zhao, Guo-Qing Zu, Wei-Wei Zhu, Xu Ran
Summary: Duplex stainless steels, composed of ferrite and austenite, are widely used for their excellent mechanical properties and corrosion resistance. They outperform ferritic stainless steels in terms of plasticity, toughness, and welding performance, while also exhibiting higher strength and better resistance against stress, pitting, and crevice corrosion compared to austenitic stainless steels. This paper summarizes the important strategy of alloying design in duplex stainless steels, highlighting the role of alloying elements in improving mechanical properties and/or corrosion resistance.
Article
Engineering, Electrical & Electronic
Longshan Yang, Junhuan Peng, Yuebin Wang, Linlin Xu, Weiwei Zhu
Summary: In this article, a superpixel-based graph model is proposed for hyperspectral image classification. By utilizing anchor graph regularization, the model is able to extract local and nonlocal spatial information effectively. The approach constructs a scalable anchor graph using a small number of anchor points, which outperforms other semisupervised HSI classification approaches in cases with a limited quantity of labeled samples.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
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)
