Article
Green & Sustainable Science & Technology
Shengtang Wang, Yingchun Ge
Summary: This study investigates the spatial-temporal effects of land-use changes on ecological quality and future trends. The results show that forest, grassland, and water are positively correlated with ecological quality, while build-up land and unutilized land negatively affect ecological quality. The economic development scenario contributes to the sustainable development of the upstream area, while the ecological protection scenario is more conducive to the midstream and downstream areas.
Article
Agriculture, Multidisciplinary
Yaqun Liu, Wei Song
Summary: This study investigated the Human Appropriation of Net Primary Production (HANPP) in agroecosystems in the Heihe River Basin. The results showed a decrease in HANPP from 2007 to 2012, with crop type conversion being the main factor. Irrigation had a positive impact on HANPP in high-temperature areas, but the efficiency was low. Reducing land-use-induced HANPP and increasing crop-harvest-induced HANPP are key to achieving food security and sustainable agroecosystem development.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2022)
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
Environmental Sciences
Xin Li, Guodong Cheng, Bojie Fu, Jun Xia, Ling Zhang, Dawen Yang, Chunmiao Zheng, Shaomin Liu, Xiubin Li, Changqing Song, Shaozhong Kang, Xiaoyan Li, Tao Che, Yi Zheng, Yanzhao Zhou, Haibo Wang, Youhua Ran
Summary: The Heihe River basin (HRB), with its unique mountain cryosphere-oasis-desert landscapes and human-nature competition for water resources, has provided an excellent case for the study of critical zones (CZs) and watershed systems. Significant progress and breakthroughs have been made in understanding cryospheric hydrological processes, ecological and hydrological interactions, and surface-groundwater interactions in the HRB. However, challenges remain in observing and modeling geochemical and geomorphological processes in integrated watershed studies.
Article
Chemistry, Analytical
Jianwen Guo, Minghu Zhang, Qingsheng Shang, Feng Liu, Adan Wu, Xin Li
Summary: The development of river basin cyberinfrastructure with the Internet of Things (IoT) as the core and the implementation of the integrated observational data control system (IODCS) have significantly improved data acquisition and sharing efficiency in watershed research. The IODCS has shown impressive performance in processing massive observational data in the middle reaches of the Heihe River Basin (HRB).
Article
Meteorology & Atmospheric Sciences
A. J. P. Aparicio, V. M. S. Carrasco, J. Montero-Martin, A. Sanchez-Lorenzo, M. J. Costa, M. Anton
Summary: This study digitized daily and monthly sunshine duration records in Lisbon (Portugal) from 1890 to 1940 to expand the available data series. It is considered the earliest data series in Portugal and second earliest in the Iberian Peninsula. The analysis revealed different trends in sunshine duration over different periods, with the most significant changes occurring between 1950 and 1980 and between 1980 and 2010, corresponding to global dimming and brightening periods.
ATMOSPHERIC RESEARCH
(2023)
Article
Environmental Sciences
Yanhu Ji, Changhao Chen, Guangxing Xu, Jian Song, Hong Su, Heng Wang
Summary: Previous studies have shown seasonal variation patterns of depression symptoms, but evidence on the acute effects of sunshine duration on outpatient visits for depression is limited. This study in China found that a short duration of sunshine was associated with an increased risk of depression outpatient visits.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Qianxi Shen, Jun Niu, Bellie Sivakumar, Na Lu
Summary: Plastic film mulching is an effective method for managing agricultural fields in water shortage areas, as it can save water and increase crop yield. This study used remote sensing data and modeling to analyze the effects of plastic film mulching on maize yield and evapotranspiration in the Heihe River basin in Northwest China. The results showed that plastic film mulching increased maize yield in certain areas and reduced evapotranspiration in planted areas.
Article
Environmental Sciences
Yuwei Wang, Na Zhao
Summary: This study comprehensively evaluates the accuracy of eight high-resolution gridded precipitation products in the Heihe River basin (HRB). The results show variations in accuracy among different products at different temporal and spatial scales. MSWEP shows the highest accuracy at an annual scale, while PERSIANN, CRU, and ERA5 provide the most accurate results in different reaches of the HRB.
Article
Forestry
Zemeng Fan
Summary: The study revealed significant dynamic changes in the vegetation of Heihe River Basin at different elevations since the 1980s, with a strong impact of climate on vegetation change.
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
Environmental Sciences
Yuxuan Wang, Yinhuan Ao, Zhaoguo Li
Summary: Evapotranspiration plays a crucial role in maintaining the ecological stability of oases and is influenced by irrigation and urbanization expansion. By analyzing the spatial and temporal characteristics of evapotranspiration in Zhangye Oasis, Jinta Oasis, and Ejina Oasis, it is found that there are differences in evapotranspiration intensity among different oases, and urbanization expansion leads to a decrease in evapotranspiration intensity in oases.
Article
Environmental Sciences
Tao Yu, Qiang Zhang, Rui Sun
Summary: Studying the spatial representativeness of carbon flux measurement data for typical land cover types in the Heihe River Basin, China, revealed climate footprint distances ranging from about 500 m to 1500 m. Validating multiple-scale GPP products at footprint scale showed higher accuracy compared to field scale, indicating that precision may be higher when validating remote sensing GPP products at the footprint scale.
Article
Biodiversity Conservation
Jing Zhao, Zhuang Shao, Chuyu Xia, Kai Fang, Ran Chen, Jun Zhou
Summary: This study used the InVEST and FLUS models to examine the impacts of land use and land cover changes on key ecosystem services in the Heihe River Basin. The results showed that future changes in carbon storage and water yield may vary, while soil conservation is expected to decrease significantly. This research provides valuable insights for sustainable ecological environment zoning management.
ECOLOGICAL INDICATORS
(2022)
Article
Environmental Sciences
Yingdi Wu, Ziyan Han, Jijun Meng, Likai Zhu
Summary: Building ecological security patterns is crucial for maintaining ecological security and achieving sustainable development in river basins. This study applied circuit theory to build an ecological security pattern in the Heihe River Basin and demonstrated its contribution to ecological protection through simulation.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
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
Materials Science, Multidisciplinary
Guoqing Zu, Yanqing Xu, Liang Luo, Ying Han, Shicheng Sun, Ruonan Miao, Weiwei Zhu, Liang Gao, Xu Ran
Summary: This study investigated the effect of warm rolling temperature on the evolution of microstructure and texture in 4.5 wt.% Si steel. The results showed that warm rolling temperature significantly impacts the microstructure and texture of the steel, leading to different recrystallization textures under different warm rolling conditions.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2022)
Article
Engineering, Electrical & Electronic
Zhong Li, Xing Fan, Jia Yi, Shaobo Tan, Zhicheng Zhang, Tao Lu, Linjun Zhang, Weiwei Zhu
Summary: This study investigates the use of annealed poly(vinylidene-trifluoroethylene) (P(VDF-TrFE)) films as sensors, which exhibit higher sensitivity and commercial potential compared to commonly used piezoelectric ceramics. The results demonstrate the excellent piezoelectric sensing performance and feasibility for large-scale thin film processing of P(VDF-TrFE) sensors.
IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION
(2022)
Article
Green & Sustainable Science & Technology
Bingfang Wu, Fuyou Tian, Miao Zhang, Shilong Piao, Hongwei Zeng, Weiwei Zhu, Junguo Liu, Abdelrazek Elnashar, Yuming Lu
Summary: This study proposes a method based on Earth observations to quantify and refine estimates of global agricultural water appropriation. The results show that agriculture remains the largest user of water worldwide, particularly in terms of irrigation. The study reveals the actual water consumption of global crops and the extent of human intervention in the water cycle, providing support for decision making and sustainable agricultural policies.
JOURNAL OF CLEANER PRODUCTION
(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
Materials Science, Multidisciplinary
Rong Chai, Weiwei Zhu, Qian Li, Haohao Zou, Ying Han, Yu Zhao, Xu Ran
Summary: The study found that the addition of basalt fibers has a significant impact on the mechanical and tribological properties of copper-matrix composites. With the increase in fiber content, the hardness and tensile strength of the composites will change to different degrees, with the optimal tensile strength occurring at a basalt fiber content of 1.5 wt.%.
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.
Proceedings Paper
Automation & Control Systems
Xinping Xie, Guanfu Wang, Weiwei Zhu, Shasha Shi, Xiaodong Du, Hongqiang Wang
Summary: This study proposes a drug sensitivity prediction method based on knowledge graph embedding, which effectively extracts drug response-related features and achieves accurate prediction.
2022 41ST CHINESE CONTROL CONFERENCE (CCC)
(2022)
Proceedings Paper
Automation & Control Systems
Xinping Xie, Dandan Li, Weiwei Zhu, Lei Zhang, Xiaodong Du, Hongqiang Wang
Summary: This paper proposes a new method for personalized drug efficacy prediction based on the LOA model, which encodes clinical symptoms and mines hidden features and association patterns to predict tumor drug efficacy. Experimental results show that the proposed method achieved a higher prediction accuracy compared to the PLSA model when combined with SVM classifier.
2022 41ST CHINESE CONTROL CONFERENCE (CCC)
(2022)
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)
