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Book ; Online: Remote Sensing of Watershed

Wang, Jingzhe / Hu, Zhongwen / Wu, Yangyi / Zhang, Jie

2023

Keywords	Technology: general issues ; History of engineering & technology ; Environmental science, engineering & technology ; multi-source remote sensing ; aquaculture mapping ; texture feature ; Google Earth Engine ; Pearl River Basin ; land surface temperature ; VIC model ; wavelet analysis ; multiscale analysis ; LUCC ; MODIS NDVI ; vegetation cover ; trend analysis ; Sen + Mann-Kendall ; topography ; GWR ; Qinghai-Tibet Plateau ; maize yield ; evapotranspiration ; plastic film mulching ; G-AquaCrop model ; Heihe River basin ; paddy rice ; SEBAL ; interannual variation ; spatial distribution ; Ganfu Plain irrigation system ; vegetation browning ; warming hiatus ; vapor pressure deficit ; spring ; autumn ; Xinjiang ; Qijia culture (QJC) ; spatial diffusion patterns ; cultural hearth ; circle structure ; dryland ; SIF ; EVI ; TROPOMI ; extreme drought ; phenology ; NATT ; China ; drought ; SPEI ; VPD ; vegetation ; GPP ; water level recognition ; hydrological monitoring ; deep learning ; computer vision ; alpine wetland ; water retention service ; models ; Qinghai-Tibetan Plateau ; carbon dioxide emissions ; global climate change ; human footprint index ; human pressures ; macro control ; Ebinur Lake ; spatio-temporal fusion model ; Sentinel-2 ; images reconstruction ; suspended particulate matter (SPM) ; n/a
Language	English
Size	1 electronic resource (288 pages)
Publisher	MDPI - Multidisciplinary Digital Publishing Institute
Publishing place	Basel
Document type	Book ; Online
Note	English
HBZ-ID	HT030382106
ISBN	9783036581316 ; 3036581316
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Article ; Online: Detection of terminal lake wetland and its landscape dynamics in arid regions

WANG Jingzhe

Acta Geodaetica et Cartographica Sinica, Vol 50, Iss 4, Pp 562-

a case study from Ebinur Lake Wetland

2021 Volume 562

Keywords	Mathematical geography. Cartography ; GA1-1776
Language	Chinese
Publishing date	2021-04-01T00:00:00Z
Publisher	Surveying and Mapping Press
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Modeling of Metal Powder Densification under Hot Isostatic Pressing.

Wang, Jingzhe / Srivatsa, Shesh / Wu, Zhanfang / Huang, Zaiwang

Materials (Basel, Switzerland)

2024 Volume 17, Issue 8

Abstract: The consolidation of metal powders is a complex thermomechanical process, and the temperature has a significant effect on the density distribution in the compact. The consolidation process of metal powders with an average particle size of 10 μm, 25 μm, ... ...

Abstract	The consolidation of metal powders is a complex thermomechanical process, and the temperature has a significant effect on the density distribution in the compact. The consolidation process of metal powders with an average particle size of 10 μm, 25 μm, and 50 μm under hot isostatic pressure was simulated by finite element modeling. The distribution and evolution of the relative density after being hot isostatic pressing (HIP) under 1050 °C/130 MPa/4 h, 1150 °C/130 MPa/4 h, and 1250 °C/130 MPa/4 h conditions were simulated, respectively. The experimental data of HIP at 1050 °C/130 MPa/4 h were used to verify the modeling results via the geometric change in the container. The relative density difference between the simulated results and the experimental results at different positions was less than 2%. This methodology called "modeling prediction, experimental validation" can accelerate experimental discovery in an economic manner.
Language	English
Publishing date	2024-04-22
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2487261-1
ISSN	1996-1944
ISSN	1996-1944
DOI	10.3390/ma17081933
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Responses of vegetation cover to hydro-climatic variations in Bosten Lake Watershed, NW China.

Ge, Xiangyu / Ding, Jianli / Amantai, Nigenare / Xiong, Ju / Wang, Jingzhe

Frontiers in plant science

2024 Volume 15, Page(s) 1323445

Abstract: Amidst the backdrop of global climate change, it is imperative to comprehend the intricate connections among surface water, vegetation, and climatic shifts within watersheds, especially in fragile, arid ecosystems. However, these relationships across ... ...

Abstract	Amidst the backdrop of global climate change, it is imperative to comprehend the intricate connections among surface water, vegetation, and climatic shifts within watersheds, especially in fragile, arid ecosystems. However, these relationships across various timescales remain unclear. We employed the Ensemble Empirical Mode Decomposition (EEMD) method to analyze the multifaceted dynamics of surface water and vegetation in the Bosten Lake Watershed across multiple temporal scales. This analysis has shed light on how these elements interact with climate change, revealing significant insights. From March to October, approximately 14.9-16.8% of the areas with permanent water were susceptible to receding and drying up. Both the annual and monthly values of Bosten Lake's level and area exhibited a trend of initial decline followed by an increase, reaching their lowest point in 2013 (1,045.0 m and 906.6 km2, respectively). Approximately 7.7% of vegetated areas showed a significant increase in the Normalized Difference Vegetation Index (NDVI). NDVI volatility was observed in 23.4% of vegetated areas, primarily concentrated in the southern part of the study area and near Lake Bosten. Regarding the annual components (6 < T < 24 months), temperature, 3-month cumulative NDVI, and 3-month-leading precipitation exhibited the strongest correlation with changes in water level and surface area. For the interannual components (T≥ 24 months), NDVI, 3-month cumulative precipitation, and 3-month-leading temperature displayed the most robust correlation with alterations in water level and surface area. In both components, NDVI had a negative impact on Bosten Lake's water level and surface area, while temperature and precipitation exerted positive effects. Through comparative analysis, this study reveals the importance of temporal periodicity in developing adaptive strategies for achieving Sustainable Development Goals in dryland watersheds. This study introduces a robust methodology for dissecting trends within scale components of lake level and surface area and links these trends to climate variations and NDVI changes across different temporal scales. The inherent correlations uncovered in this research can serve as valuable guidance for future investigations into surface water dynamics in arid regions.
Language	English
Publishing date	2024-04-16
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2613694-6
ISSN	1664-462X
ISSN	1664-462X
DOI	10.3389/fpls.2024.1323445
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Impact of meteorological variability on diurnal and seasonal net ecosystem productivity in a desert riparian forest ecosystem.

Teng, Dexiong / Gong, Xuewei / He, Xuemin / Wang, Jingzhe / Lv, Guanghui / Wang, Jinlong / Yang, Xiaodong

Frontiers in plant science

2024 Volume 15, Page(s) 1332192

Abstract: The desert riparian forests are susceptible to meteorological changes and contribute significantly to the net ecosystem productivity (NEP) variations of arid ecosystems. However, the responsive patterns of their NEP variations to the meteorological ... ...

Abstract	The desert riparian forests are susceptible to meteorological changes and contribute significantly to the net ecosystem productivity (NEP) variations of arid ecosystems. However, the responsive patterns of their NEP variations to the meteorological variabilities remain inadequately comprehended. To address this gap, we utilized seven years of eddy covariance flux measurements in a representative desert riparian forest to investigate the NEP variations and its response to changing meteorological factors across diverse temporal scales. The results revealed significant periodic variations in half-hourly NEP, with dominant cycles spanning from five hours to one year, with a principal oscillation period of one day. Key meteorological factors including global solar radiation (Rg), relative humidity (RH), air temperature (Ta), soil temperature (Ts), and vapor pressure deficit (VPD) exhibited synchronization with NEP on daily scales. This synchronization, coupled with the observed one-day periodic NEP variations, provides robust evidence supporting the existence of a circadian rhythm in the ecosystem carbon exchange of desert riparian forest regulated by meteorological conditions. Seasonal patterns were significant in the impact of Rg phase, Ta diurnal amplitude, and VPD diurnal amplitude on NEP diurnal amplitude and phase. The NEP diurnal amplitude significantly, directly, and positively affected daily NEP in both the dormant and growing seasons, whereas its phase yielded significant negative effects (
Language	English
Publishing date	2024-04-18
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2613694-6
ISSN	1664-462X
ISSN	1664-462X
DOI	10.3389/fpls.2024.1332192
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Mapping population on Tibetan Plateau by fusing VIIRS data and nighttime Tencent location-based services data

Ma, Xuankai / Yang, Zhaoping / Wang, Jingzhe / Han, Fang

Ecological indicators. 2022 June, v. 139

2022

Abstract: Population mapping is one of the fundamental materials for regional sustainability studies. Most scholars applied remote sensing data with excessive indicators to fit the population distribution. Nevertheless, over-complex models were lack of accuracy. ... ...

Abstract	Population mapping is one of the fundamental materials for regional sustainability studies. Most scholars applied remote sensing data with excessive indicators to fit the population distribution. Nevertheless, over-complex models were lack of accuracy. This paper proposed a population model in the Qinghai-Tibet Plateau as a study area; the model has consisted of Human Activity Extent and Crowd Exposure Frequency. Performed remote sensing land cover data, nighttime light data, and LBS geographic big data as candidate indicators for exploratory regression experiments eventually developed an optimal population model assembled by nighttime LBS data and nighttime light data. The model fits significantly better at the city level (R²values of 0.9922) and reduces the error compared with other studies and publicly available datasets (%RMSE values of 6.83%). For the first time, the model proposes that Crowd Exposure Frequency based on nighttime LBS data can provide effective population simulation in the global, nighttime light data gain compensation for it. Nighttime light data plays a dominant role in densely populated areas; at the same time, nighttime LBS revised its overestimation. They modified each other to make the model accuracy significantly elevated. The modelling framework allows dynamic and low-cost population estimates of ecologically vulnerable areas and thus serves sustainable regional development.
Keywords	data collection ; humans ; land cover ; models ; population distribution ; China
Language	English
Dates of publication	2022-06
Publishing place	Elsevier Ltd
Document type	Article
ZDB-ID	2036774-0
ISSN	1872-7034 ; 1470-160X
ISSN (online)	1872-7034
ISSN	1470-160X
DOI	10.1016/j.ecolind.2022.108893
Database	NAL-Catalogue (AGRICOLA)

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Article: Prediction of Grain Size in a High Cobalt Nickel-Based Superalloy.

Wang, Jingzhe / Zhang, Siyu / Jiang, Liang / Srivatsa, Shesh / Huang, Zaiwang

Materials (Basel, Switzerland)

2023 Volume 16, Issue 17

Abstract: With the advancement in computational approaches and experimental, simulation, and modeling tools in recent decades, a trial-and-validation method is attracting more attention in the materials community. The development of powder metallurgy Ni-based ... ...

Abstract	With the advancement in computational approaches and experimental, simulation, and modeling tools in recent decades, a trial-and-validation method is attracting more attention in the materials community. The development of powder metallurgy Ni-based superalloys is a vivid example that relies on simulation and experiments to produce desired microstructure and properties in a tightly controlled manner. In this research, we show an integrated approach to predicting the grain size of industrial forgings starting from lab-scale cylindrical compression by employing modeling and experimental validation. (a) Cylindrical compression tests to obtain accurate flow stress data and the hot working processing window; (b) double-cone tests of laboratory scale validation; (c) sub-scale forgings for further validation under production conditions; and (d) application and validation on full-scale industrial forgings. The procedure uses modeling and simulation to predict metal flow, strain, strain rate, temperature, and the resulting grain size as a function of thermo-mechanical processing conditions. The models are calibrated with experimental data until the accuracy of the modeling predictions is at an acceptable level, which is defined as the accuracy at which the results can be used to design and evaluate industrial forgings.
Language	English
Publishing date	2023-08-23
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2487261-1
ISSN	1996-1944
ISSN	1996-1944
DOI	10.3390/ma16175776
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Temporal upscaling of MODIS instantaneous FAPAR improves forest gross primary productivity (GPP) simulation

Zhang, Yinghui / Hu, Zhongwen / Wang, Jingzhe / Gao, Xing / Yang, Cheng / Yang, Fengshuo / Wu, Guofeng

International Journal of Applied Earth Observation and Geoinformation. 2023 July, v. 121 p.103360-

2023

Abstract: Gross primary productivity (GPP) is a measure of carbon uptake by terrestrial ecosystems for carbon neutrality and serves as a key indicator for the Sustainable Development Goals. The instantaneous Fraction of Absorbed Photosynthetically Active Radiation ...

Abstract	Gross primary productivity (GPP) is a measure of carbon uptake by terrestrial ecosystems for carbon neutrality and serves as a key indicator for the Sustainable Development Goals. The instantaneous Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) is applied in GPP estimation by light use efficiency (LUE) models. However, an obvious time scale mismatch exists between instantaneous FAPAR and daily accumulated GPP. In the study, we explored the potential of temporal upscaling instantaneous FAPAR in improving GPP simulation. The absorbed photosynthetically active radiation (APAR) derived from instantaneous and upscaled FAPARs were first compared. GPPs were estimated from instantaneous and upscaled FAPAR by MOD17 LUE model using default and optimized parameters. The optimized GPP was finally compared with three GPP products: GLASS, MOD17A2H and MYD17A2H GPP. The APARs and GPPs were evaluated with the Eddy Covariance (EC) GPP at 78 forest sites from the Fluxnet community. Results showed that when compared with EC GPP, the upscaled FAPAR-derived APAR held a higher R² (0.26-0.73) than that from instantaneous FAPARs. The upscaled FAPAR-based GPPs by MOD17 LUE model with default or optimized parameters had a larger R² and smaller RMSE reducing uncertainties by 6.82-7.8% (maximum value: 27.9-49%). The optimized upscaled FAPAR-derived GPP was far superior to the GPP products with larger R² (0.69-0.85) and smaller RMSE (12.8-14.6 g C/m²/8d). It is concluded that temporal upscaling of MODIS instantaneous FAPAR can well improve the estimation of forest GPP and the parameters of MOD17 LUE model should be further optimized. Our study is an effort toward reducing the uncertainties from FAPAR in the GPP estimation for better assessing the achievement of carbon neutrality and Sustainable Development Goals.
Keywords	carbon ; eddy covariance ; forests ; gross primary productivity ; models ; photosynthetically active radiation ; radiation use efficiency ; spatial data ; sustainable development ; Temporal upscale ; FAPAR ; GPP ; Forest ; Fluxnet
Language	English
Dates of publication	2023-07
Publishing place	Elsevier B.V.
Document type	Article ; Online
Note	Use and reproduction
ISSN	1569-8432
DOI	10.1016/j.jag.2023.103360
Database	NAL-Catalogue (AGRICOLA)

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Article: Evaluation of Total Nitrogen in Water via Airborne Hyperspectral Data: Potential of Fractional Order Discretization Algorithm and Discrete Wavelet Transform Analysis

Liu, Jinhua / Ding, Jianli / Ge, Xiangyu / Wang, Jingzhe

Remote Sensing. 2021 Nov. 18, v. 13, no. 22

2021

Abstract: Controlling and managing surface source pollution depends on the rapid monitoring of total nitrogen in water. However, the complex factors affecting water quality (plant shading and suspended matter in water) make direct estimation extremely challenging. ...

Abstract	Controlling and managing surface source pollution depends on the rapid monitoring of total nitrogen in water. However, the complex factors affecting water quality (plant shading and suspended matter in water) make direct estimation extremely challenging. Considering the spectral response mechanisms of emergent plants, we coupled discrete wavelet transform (DWT) and fractional order discretization (FOD) techniques with three machine learning models (random forest (RF), bagging algorithm (bagging), and eXtreme Gradient Boosting (XGBoost)) to mine this potential spectral information. A total of 567 models were developed, and airborne hyperspectral data processed with various DWT scales and FOD techniques were compared. The effective information in the hyperspectral reflectance data were better emphasized after DWT processing. After DWT processing the original spectrum (OR), its sensitivity to TN in water was maximally improved by 0.22, and the correlation between FOD and TN in water was optimally increased by 0.57. The transformed spectral information enhanced the TN model accuracy, especially for FOD after DWT. For RF, 82% of the model R² values improved by 0.02~0.72 compared to the model using FOD spectra; 78.8% of the bagging values improved by 0.01~0.53 and 65.0% of the XGBoost values improved by 0.01~0.64. The XGBoost model with DWT coupled with grey relation analysis (GRA) yielded the best estimation accuracy, with the highest precision of R² = 0.91 for L6. In conclusion, appropriately scaled DWT analysis can substantially improve the accuracy of extracting TN from UAV hyperspectral images. These outcomes may facilitate the further development of accurate water quality monitoring in sophisticated global waters from drone or satellite hyperspectral data.
Keywords	algorithms ; models ; pollution ; reflectance ; satellites ; total nitrogen ; water quality ; wavelet
Language	English
Dates of publication	2021-1118
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2513863-7
ISSN	2072-4292
ISSN	2072-4292
DOI	10.3390/rs13224643
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: The influence of lifestyle habits on levels of depression among rural middle school students in Northeastern China.

Zhao, JunCheng / Wang, Xiaoyin / Xu, Shiliang / Yan, Wenjing / Wang, Jingzhe / Wang, Ende / Liu, Tao / Hao, Ming

Frontiers in public health

2024 Volume 12, Page(s) 1293445

Abstract: Background: Depression rates among adolescents have risen dramatically over the past decade. Therefore, preventing depression among adolescents is particularly important. Differences in lifestyle habits may play a role in depression.: Purpose: This ... ...

Abstract	Background: Depression rates among adolescents have risen dramatically over the past decade. Therefore, preventing depression among adolescents is particularly important. Differences in lifestyle habits may play a role in depression. Purpose: This study aimed to explore the influence of living habits on depression levels among rural middle school students in Northeast China and to provide a theoretical basis for developing interventions to reduce depression levels in middle school students. Methods: A total of 296 middle school students aged 13-15 years from Benxi City, Northeast China completed the anthropometric measurements, Physical Activity Scale-3 (PARS-3), and the Self-Rating Depression Scale (SDS). Their average screen time in the most recent week, parents' education level, and monthly family income were collected through a questionnaire. Results: Females had higher depression scores than males (41.0 ± 6.9 vs. 37.9 ± 8.0). Physical activity (β = -0.38, Conclusion: The preliminary analysis results showed that among middle school students in rural Northeast China, the depression level of females was significantly higher than that of males. Poor quality sleep, low levels of physical activity, low household income, and long screen time were positively associated with depression. Therefore, strengthening physical activity, improving sleep quality, and reducing screen time are of clinical relevance in preventing and reducing depression.
MeSH term(s)	Male ; Female ; Adolescent ; Humans ; Depression/epidemiology ; Students ; Life Style ; Surveys and Questionnaires ; Exercise
Language	English
Publishing date	2024-01-29
Publishing country	Switzerland
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2711781-9
ISSN	2296-2565 ; 2296-2565
ISSN (online)	2296-2565
ISSN	2296-2565
DOI	10.3389/fpubh.2024.1293445
Database	MEDical Literature Analysis and Retrieval System OnLINE

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