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Article ; Online: Deducing Flood Development Process Using Social Media

Yang Liu / Rui Li / Shunli Wang / Huayi Wu / Zhipeng Gui

ISPRS International Journal of Geo-Information, Vol 11, Iss 306, p

An Event-Based and Multi-Level Modeling Approach

2022 Volume 306

Abstract: Social media is increasingly being used to obtain timely flood information to assist flood disaster management and situational awareness. However, since data in social media are massive, redundant, and unstructured, it is tricky to intuitively and ... ...

Abstract	Social media is increasingly being used to obtain timely flood information to assist flood disaster management and situational awareness. However, since data in social media are massive, redundant, and unstructured, it is tricky to intuitively and clearly obtain effective information. To automatically obtain clear flood information and deduce flood development processes from social media, the authors of this paper propose an event-based and multi-level modeling approach including a data model and two methods. Through the hierarchical division of events (division into spatial object, phase, and attribute status), the flood information structure (including time, space, topic, emotion, and disaster condition) is defined. We built an entity construction method and a development process deduction method to achieve the automatic transition from cluttered data to orderly flood development processes. Taking the flooding event of the Yangtze and Huai Rivers in 2020 as an example, we successfully obtained true flood information and development process from social media data, which verified the effectiveness of the model and methods. Meanwhile, spatiotemporal pattern mining was carried out by using entities from different levels. The results showed that the flood was from west to east and the damage level was positively correlated with the number of flood-related social media texts, especially emotional texts. In summary, through the model and methods in this paper, clear flood information and dynamic development processes can be quickly and automatically obtained, and the spatiotemporal patterns of flood entities can be examined. It is beneficial to extract timely flood information and public sentiments towards flood events in order to perform better disaster relief and post-disaster management.
Keywords	social media ; flood event ; development process ; information organization ; cognitive level ; spatiotemporal scale ; Geography (General) ; G1-922
Subject code	910
Language	English
Publishing date	2022-05-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: GREENHOUSE GAS EMISSIONS FROM LIVESTOCK IN CHINA AND MITIGATION OPTIONS WITHIN THE CONTEXT OF CARBON NEUTRALITY

Zhiping ZHU / Yue WANG / Ting YAN / Zherui ZHANG / Shunli WANG / Hongmin DONG

Frontiers of Agricultural Science and Engineering, Vol 10, Iss 2, Pp 226-

2023 Volume 233

Abstract: Livestock is major greenhouse gas source in agriculture in China. ● Greenhouse gas emissions in livestock shows an upward trend during 1994 to 2014. ● Main mitigation options are improving productivity, feed quality and manure recycling. ● ... ...

Abstract	● Livestock is major greenhouse gas source in agriculture in China. ● Greenhouse gas emissions in livestock shows an upward trend during 1994 to 2014. ● Main mitigation options are improving productivity, feed quality and manure recycling. ● Strengthening monitoring and standards is necessary for capacity building. Animal husbandry is a major source of greenhouse gas (GHG) emissions in agriculture. Mitigating the emissions from the livestock sector is vital for green development of agriculture in China. Based on National Communication on Climate Change of United Nations, this study aims to investigate the characteristics of GHG emissions of animal husbandry during 1994 to 2014, introduce major emission reduction technologies and their effectiveness, and investigate options for emission reduction for the livestock sector in China. It proposes that control of pollution and carbon emissions can be realized through increased animal productivity, improved feed quality and recycling of animal manure. This paper thus concludes with suggestions of green and low-carbon development of animal husbandry, including the research and development of new technology for emission reduction and carbon sequestration of the livestock sector, enhancement of monitoring and evaluation, and establishment of emission reduction and carbon sequestration standards.
Keywords	animal husbandry\|emission reduction solutions\|feed improvement\|greenhouse gases emission\|manure management ; Agriculture (General) ; S1-972
Subject code	660
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	Higher Education Press
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A Novel Autoregressive Rainflow—Integrated Moving Average Modeling Method for the Accurate State of Health Prediction of Lithium-Ion Batteries

Junhan Huang / Shunli Wang / Wenhua Xu / Weihao Shi / Carlos Fernandez

Processes, Vol 9, Iss 795, p

2021 Volume 795

Abstract: The accurate estimation and prediction of lithium-ion battery state of health are one of the important core technologies of the battery management system, and are also the key to extending battery life. However, it is difficult to track state of health ... ...

Abstract	The accurate estimation and prediction of lithium-ion battery state of health are one of the important core technologies of the battery management system, and are also the key to extending battery life. However, it is difficult to track state of health in real-time to predict and improve accuracy. This article selects the ternary lithium-ion battery as the research object. Based on the cycle method and data-driven idea, the improved rain flow counting algorithm is combined with the autoregressive integrated moving average model prediction model to propose a new prediction for the battery state of health method. Experiments are carried out with dynamic stress test and cycle conditions, and a confidence interval method is proposed to fit the error range. Compared with the actual value, the method proposed in this paper has a maximum error of 5.3160% under dynamic stress test conditions, a maximum error of 5.4517% when the state of charge of the cyclic conditions is used as a sample, and a maximum error of 0.7949% when the state of health under cyclic conditions is used as a sample.
Keywords	lithium-ion battery ; state of health ; rainflow ; autoregressive integrated moving average model ; Chemical technology ; TP1-1185 ; Chemistry ; QD1-999
Subject code	360
Language	English
Publishing date	2021-04-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Acidic and Alkaline Conditions Affect the Growth of Tree Peony Plants via Altering Photosynthetic Characteristics, Limiting Nutrient Assimilation, and Impairing ROS Balance

Theint Thinzar Aung / Fengrui Shi / Yanning Zhai / Jingqi Xue / Shunli Wang / Xiuxia Ren / Xiuxin Zhang

International Journal of Molecular Sciences, Vol 23, Iss 5094, p

2022 Volume 5094

Abstract: Exposure to acidic and alkaline conditions were found to cause the excess accumulation of reactive oxygen species in tree peony, thereby causing damage and inhibiting plant growth and development. The activities of antioxidant enzymes were also found to ... ...

Abstract	Exposure to acidic and alkaline conditions were found to cause the excess accumulation of reactive oxygen species in tree peony, thereby causing damage and inhibiting plant growth and development. The activities of antioxidant enzymes were also found to be significantly up-regulated, especially under alkaline conditions; this explained why tree peony is better adapted to alkaline than to acidic conditions. Through pairwise comparisons, 144 differentially expressed genes (DEGs) associated with plant growth, photosynthesis, and stress were identified. The DEGs related to stress were up-regulated, whereas the remaining DEGs were almost all down-regulated after acid and alkaline treatments. The nutrient assimilation was greatly inhibited. Chlorophyll synthesis genes were suppressed, and chlorophyll content was reduced. The development and structures of stomata and chloroplasts and the transcription of related genes were also influenced. Among photosynthesis-related DEGs, electron transport chains were the most sensitive. The suppressed expression of photosynthesis genes and the reduced light-harvesting capacity, together with the impairment of chloroplasts and stomata, finally led to a sharp decrease in the net photosynthetic rate. Carbohydrate accumulation and plant biomass were also reduced. The present study provides a theoretical basis for the response mechanisms of tree peony to adverse pH conditions and enriches knowledge of plant adaptation to alkaline conditions.
Keywords	pH ; stress responses ; plant adaptability ; transcriptome analysis ; regulation network ; Biology (General) ; QH301-705.5 ; Chemistry ; QD1-999
Subject code	580
Language	English
Publishing date	2022-05-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Seed Proteomic Profiles of Three Paeonia Varieties and Evaluation of Peony Seed Protein as a Food Product

Xiuxia Ren / Yantong Shi / Yuqian Xue / Jingqi Xue / Yuanyuan Tian / Shunli Wang / Xiuxin Zhang

BioMed Research International, Vol

2020 Volume 2020

Abstract: Peony (Paeonia) has high ornamental, edible, and medicinal values. In order to distinguish seeds varieties, describe the proteomic profiles correlated with stress tolerance, and evaluate peony seed protein (PSP) as a functional food product, we ... ...

Abstract	Peony (Paeonia) has high ornamental, edible, and medicinal values. In order to distinguish seeds varieties, describe the proteomic profiles correlated with stress tolerance, and evaluate peony seed protein (PSP) as a functional food product, we characterized the seed protein profiles of these three species and their glucosidase inhibition activities. Results showed that the intensity of protein bands in sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) and specific protein ID (especially for specifically expressed proteins (SEPs)) was effective to distinguish these peony seed varieties. Proteomic analysis of the three species showed that P. ostii “Fengdan” has heat and pathogen tolerance-related proteins, while P. rockii has higher content of proteins related to cold resistance, which were all highly consistent with their adaptation of heat or cold habitat. Moreover, stress-related proteins were also accumulated in P. lactiflora Pall “Hangshao” seeds, showing its potential for stress resistance. Further protein analysis showed that the primary composition of PSP was albumin and globulin. And the solubility of PSP was good. Furthermore, PSP also showed high glucosidase inhibition activity, indicating that PSP might have some potential function for the remission of hyperglycemia. And P. ostii “Fengdan” seeds may be a better source for protein production than seeds of the other two species in terms of protein solubility and the content of total protein, albumin, and globulin. In addition, an optimal protocol of microwave-assisted alkali extraction was developed to produce PSP. In conclusion, the evaluated stress-related proteins in three peony seed species by proteomic analysis quite agreed with their adaptation of heat or cold stress; proteomics could also be a very useful tool for distinguishing species in the production; and peony seeds may be a good source for protein production.
Keywords	Medicine ; R
Subject code	580
Language	English
Publishing date	2020-01-01T00:00:00Z
Publisher	Hindawi Limited
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A novel safety assurance method based on the compound equivalent modeling and iterate reduce particle‐adaptive Kalman filtering for the unmanned aerial vehicle lithium ion batteries

Shunli Wang / Carlos Fernandez / Yongcun Fan / Juqiang Feng / Chunmei Yu / Kaifeng Huang / Wei Xie

Energy Science & Engineering, Vol 8, Iss 5, Pp 1484-

2020 Volume 1500

Abstract: Abstract The safety assurance is very important for the unmanned aerial vehicle lithium ion batteries, in which the state of charge estimation is the basis of its energy management and safety protection. A new equivalent modeling method is proposed for ... ...

Abstract	Abstract The safety assurance is very important for the unmanned aerial vehicle lithium ion batteries, in which the state of charge estimation is the basis of its energy management and safety protection. A new equivalent modeling method is proposed for the mathematical expression of different structural characteristics, and an improved reduce particle‐adaptive Kalman filtering model is designed and built, in which the incorporate multiple featured information is absorbed to explore the optimal representation by abandoning the redundant and abnormal information. And then, the multiple parameter identification is investigated that has the ability of adapting the current varying conditions, according to which the hybrid pulse power characterization test is accommodated. As can be known from the experimental results, the polynomial fitting treatment is carried out by conducting the curve fitting treatment and the maximum estimation error of the closed‐circuit‐voltage is 0.48% and its state of charge estimation error is lower than 0.30% in the hybrid pulse power characterization test, which is also within 2.00% under complex current varying working conditions. The iterate calculation process is conducted for the unmanned aerial vehicle lithium ion batteries together with the compound equivalent modeling, realizing its adaptive power state estimation and safety protection effectively.
Keywords	compound equivalent modeling ; lithium ion batteries ; reduce particle‐adaptive Kalman filtering ; state of charge estimation ; unmanned aerial vehicle ; Technology ; T ; Science ; Q
Subject code	600
Language	English
Publishing date	2020-05-01T00:00:00Z
Publisher	Wiley
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Trees at a Moderately Arid Site Were More Sensitive to Long-Term Drought

Bin Wang / Pengtao Yu / Yipeng Yu / Yanhui Wang / Lei Zhang / Yanfang Wan / Shunli Wang / Xiande Liu

Forests, Vol 12, Iss 579, p

2021 Volume 579

Abstract: Climate change has dramatically altered the frequency and intensity of droughts, thereby altering tree growth. Understanding whether tree growth in semiarid areas in response to long-term drought and the post-drought recovery rate of tree growth vary ... ...

Abstract	Climate change has dramatically altered the frequency and intensity of droughts, thereby altering tree growth. Understanding whether tree growth in semiarid areas in response to long-term drought and the post-drought recovery rate of tree growth vary along moisture gradients is crucial for predicting future forest change. Here, we assessed the spatial variation in both the growth resistance of Qinghai spruce ( Picea crassifolia Kom.) to long-term drought and its post-drought recovery using a stand-total sampling strategy along a moisture gradient that covered three sites (with an annual precipitation of 330.4, 394.2, and 515.9 mm for the western, middle, and eastern sites, respectively) with six plots. Resistance and recovery were evaluated by analyzing the tree growth trends during a long-term drought period (1980–2001) and the subsequent post-drought period (2001–2013), respectively. Our results indicate that the trees with the highest temporal stability were those at the wetter eastern site; specifically, during the long-term drought period, the trees at the wetter eastern site showed the highest resistance (−0.015) and the lowest recovery (0.002). The trees in moderately arid conditions were much more sensitive to climate change than those at the relatively arid western site, showing the lowest resistance (−0.050) and highest recovery (0.020). Climate change had the strongest impact on tree growth at the moderately arid site, contributing 60.6% to the tree growth decreasing trend during the long-term drought period and 65.4% to the tree recovery during the post-drought period, respectively. Climate change had a lower impact on tree growth at the wet and dry sites, contributing less than 50% to the tree growth trends at these sites. The results indicate that a trade-off relationship exists between resistance and recovery at the different sites; that is, the highly resistant trees at the wetter eastern site tend to have lower recovery, whereas the weakly resistant trees at the moderately arid site tend to have ...
Keywords	climate change ; long-term drought ; resistance ; recovery ; Qinghai spruce ; Plant ecology ; QK900-989
Subject code	333
Language	English
Publishing date	2021-05-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Differential Trends of Qinghai Spruce Growth with Elevation in Northwestern China during the Recent Warming Hiatus

Bin Wang / Pengtao Yu / Lei Zhang / Yanhui Wang / Yipeng Yu / Shunli Wang

Forests, Vol 10, Iss 9, p

2019 Volume 712

Abstract: Tree growth strongly responds to climate change, especially in semiarid mountainous areas. In recent decades, China has experienced dramatic climate warming; however, after 2000 the warming trend substantially slowed (indicative of a warming hiatus) in ... ...

Abstract	Tree growth strongly responds to climate change, especially in semiarid mountainous areas. In recent decades, China has experienced dramatic climate warming; however, after 2000 the warming trend substantially slowed (indicative of a warming hiatus) in the semiarid areas of China. The responses of tree growth in respect to elevation during this warming hiatus are poorly understood. Here, we present the responses of Qinghai spruce ( Picea crassifolia Kom.) growth to warming using a stand-total sampling strategy along an elevational gradient spanning seven plots in the Qilian Mountains. The results indicate that tree growth experienced a decreasing trend from 1980 to 2000 at all elevations, and the decreasing trend slowed with increasing elevation (i.e., a downward trend from −10.73 mm 2 year −1 of the basal area increment (BAI) at 2800 m to −3.48 mm 2 year −1 of BAI at 3300 m), with an overall standard deviation (STD) of 2.48 mm 2 year −1 . However, this trend reversed to an increasing trend after 2000, and the increasing trends at the low (2550−2900 m, 0.27−5.07 mm 2 year −1 of BAI, p > 0.23) and middle (3000−3180 m, 2.08−2.46 mm 2 year −1 of BAI, p > 0.2) elevations were much weaker than at high elevations (3300 m, 23.56 mm 2 year −1 of BAI, p < 0.01). From 2000−2013, the difference in tree growth with elevation was much greater than in other sub-periods, with an overall STD of 7.69 mm 2 year −1 . The stronger drought conditions caused by dramatic climate warming dominated the decreased tree growth during 1980−2000, and the water deficit in the 2550−3180 m range was stronger than at 3300 m, which explained the serious negative trend in tree growth at low and middle elevations. After 2000, the warming hiatus was accompanied by increases in precipitation, which formed a wetting−warming climate. Although moisture availability was still a dominant limiting factor of tree growth, the relieved drought pressure might be the main reason for the recent recovery in the tree growth at middle and low elevations. ...
Keywords	Qinghai spruce ; warming hiatus ; elevation gradient ; tree growth ; growth-climate relationships ; Plant ecology ; QK900-989
Subject code	333
Language	English
Publishing date	2019-08-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Defoliation and gibberellin synergistically induce tree peony flowering with non-structural carbohydrates as intermedia

Xue, Jingqi / Shunli Wang / Tingting Li / Xianwu Liu / Xiuxin Zhang / Yuqian Xue

Journal of plant physiology. 2019 Feb., v. 233

2019

Abstract: Although the natural florescence of the tree peony is short, it can be lengthened by forcing culture. In this study, both defoliation or gibberellic acid (GA3) treatment individually induced tree peony (Paeonia suffruticosa ‘Luo Yang Hong’) flowering ... ...

Abstract	Although the natural florescence of the tree peony is short, it can be lengthened by forcing culture. In this study, both defoliation or gibberellic acid (GA3) treatment individually induced tree peony (Paeonia suffruticosa ‘Luo Yang Hong’) flowering under forcing culture, and their combination (D + G) accelerated flowering with a GA3-overdose-like phenomenon, indicating that synergism between defoliation and GA3 treatment may occur. Both defoliation and GA3 treatment induced a GA response, including (i) increased GA3 production, (ii) increased PsCPS and PsGA3ox expression, and (iii) decreased PsGA2ox, PsGID1c, and PsGID2 expression; both treatments also positively influenced non-structural carbohydrate (NSC) accumulation. According to the expression of five PsSWEETs, PsSWEET2 and PsSWEET17 may redundantly exercise the crosstalk of defoliation and GA3 treatment by NSC distribution, whereas PsSWEET12 may act by GA modulation; no synergism resulting from the D + G treatment was detected. Tissue-specific analysis indicated that, in sepals, PsSWEET2 and PsSWET7 are both induced by defoliation and GA3 treatment, whereas PsSWEET2 expression showed synergism with the D + G treatment. In summary, defoliation and GA3 treatment synergistically induce tree peony flowering under forcing culture, and NSCs are suggested as key intermedia. Moreover, sepals may play key roles in their synergism, although more direct evidence is still needed.
Keywords	calyx ; carbohydrates ; defoliation ; flowering ; gibberellic acid ; Paeonia suffruticosa ; synergism
Language	English
Dates of publication	2019-02
Size	p. 31-41.
Publishing place	Elsevier GmbH
Document type	Article
ZDB-ID	283647-6
ISSN	1618-1328 ; 0176-1617
ISSN (online)	1618-1328
ISSN	0176-1617
DOI	10.1016/j.jplph.2018.12.004
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: The Variation in Water Consumption by Transpiration of Qinghai Spruce among Canopy Layers in the Qilian Mountains, Northwestern China

Yanfang Wan / Pengtao Yu / Yanhui Wang / Bin Wang / Yipeng Yu / Xiao Wang / Zebin Liu / Xiande Liu / Shunli Wang / Wei Xiong

Forests, Vol 11, Iss 845, p

2020 Volume 845

Abstract: It is important for integrated forest-water management to develop a better understanding of the variation of tree transpiration among different canopy layers in the forests and its response to soil moisture and weather conditions. The results will ... ...

Abstract	It is important for integrated forest-water management to develop a better understanding of the variation of tree transpiration among different canopy layers in the forests and its response to soil moisture and weather conditions. The results will provide insights into water consumption by trees occupying different social positions of the forests. In the present study, an experiment was conducted in the Qilian Mountains, northwest China, and 13 trees, i.e., 4–5 trees from each one of dominant (the relative tree height (H R ) > 1.65), subdominant (1.25 < H R ≤ 1.65) and intermediate-suppressed (H R ≤ 1.25) layers) were chosen as sample trees in a pure Qinghai spruce ( Picea crassifolia Kom.) forest stand. The sap flux density of sample trees, soil moisture of main root zone (0 to 60 cm) and meteorological conditions in open field were observed simultaneously from July to October of 2015 and 2016. The results showed that (1) The mean daily stand transpiration for the study period in 2015 and 2016 (July–October), was 0.408 and 0.313 mm·day −1 , and the cumulative stand transpiration was 54.84 and 40.97 mm, accounting for 24.14% (227.2 mm) and 16.39% (249.9 mm) of the total precipitation over the same periods, respectively. (2) The transpiration varied greatly among canopy layers, and the transpiration of the dominant and codominant layers was the main contributors to the stand transpiration, contributing 86.05% and 81.28% of the stand transpiration, respectively, in 2015 and 2016. (3) The stand transpiration was strongly affected by potential evapotranspiration (PET) and volumetric soil moisture (VSM). However, the transpiration of trees from the dominant and codominant layers was more sensitive to PET changes and that from the intermediate-suppressed layer was more susceptible to soil drought. This implied that in dry period, such as in drought events, the dominant and codominant trees would transpire more water, while the intermediate-suppressed trees almost stopped transpiration. These remind us that the ...
Keywords	Qinghai spruce ; transpiration ; canopy layer ; weather condition ; soil moisture ; Plant ecology ; QK900-989
Subject code	550
Language	English
Publishing date	2020-08-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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