Article
Geosciences, Multidisciplinary
Weiyi Ju, Jie Wu, Haizhen Cao, Qingchun Kang, Shah Syed Salman Ali, Zhixiang Xing
Summary: This study focuses on the flood risk analysis of subway stations, using the projection pursuit model optimized by whale algorithm. Compared to the TOPSIS method, this approach achieves higher precision and better global searchability. The study provides a new method and idea for flood risk assessment and has significant engineering application value.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2023)
Article
Green & Sustainable Science & Technology
Zuo Sun, Yingjie Liu, Qingjie Qi, Wengang Liu, Dan Li, Jiamei Chai
Summary: This study aims to propose a quantitative evaluation method of coal mine flood disaster risk. Based on a risk assessment model and index system, and using projection pursuit and fuzzy cluster analysis, the results show that the risk of coal mine flood disaster is mainly determined by the hazard of disaster-causing factors, the stability of the disaster-prone environment, and the vulnerability of disaster-bearing bodies. Further research indicates that the maximum daily rainfall has the greatest impact on the risk of coal mine flood disaster. This study proposes a risk assessment method that is of great significance for energy sustainability.
Article
Geosciences, Multidisciplinary
Peng Wang, Yabo Li, Yuhu Zhang
Summary: The study evaluated the development trend and influencing factors of urban flood resilience in Nanjing, revealing an increasing trend in urban flood resilience and significant contributions from different factors in different time periods.
Article
Multidisciplinary Sciences
Junqing Tang, Pengjun Zhao, Zhaoya Gong, Hongbo Zhao, Fengjue Huang, Jiaying Li, Zhihe Chen, Ling Yu, Jun Chen
Summary: Large-scale disasters disproportionately impact different population groups, especially the vulnerable and marginalized. This study investigates the resilience of human mobility during the unprecedented '720' Zhengzhou flood in China in 2021 using a massive amount of mobile phone signaling data. The findings reveal three counter-intuitive resilience patterns in human mobility and demonstrate that these patterns are not associated with gender or age.
NATIONAL SCIENCE REVIEW
(2023)
Article
Engineering, Electrical & Electronic
Ningyuan Zhao, Xiaodan Yu, Kai Hou, Xiaonan Liu, Yunfei Mu, Hongjie Jia, Hui Wang, Hongmei Wang
Summary: A full-time scale resilience enhancement framework is proposed for power transmission system to improve its resistance against ice disasters. The framework includes the development of resilience indices, prevention measures during pre-failure, optimal deicing strategies during disaster, and maintenance optimization post-failure. Case studies have shown the effectiveness and practicality of the proposed approach.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Environmental Sciences
Dong Liu, Chunqing Wang, Yi Ji, Qiang Fu, Mo Li, Shoaib Ali, Tianxiao Li, Song Cui
Summary: This study analyzed the spatiotemporal evolution of flood disaster resilience in the Jiansanjiang branch of China Beidahuang Agricultural Reclamation Group Co., Ltd. over the past 22 years using the CICR-PCC and EO-SHO-SVR models. The results indicated that flood disaster resilience reached high levels from 1997 to 2018 after experiencing fluctuations, with factors such as land-average flood prevention investment and per capita GDP being the main driving factors affecting resilience.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Engineering, Civil
Xiaobo Chen, Zupei Guo, Hengyu Zhou, Xikun Qian, Xuesheng Zhang
Summary: Flooding is a major challenge in urban hazards resilience assessment, but there are few urban flood assessment models from a resilience perspective. Existing studies using the TOPSIS assessment method lack evaluation scenarios between positive and negative ideal solutions. This study establishes an urban flood disaster resilience assessment model, ranks cities through the VIKOR-GRA method, and proposes measures to improve urban disaster resilience. Analysis of actual cases shows that the model has good applicability.
KSCE JOURNAL OF CIVIL ENGINEERING
(2022)
Article
Engineering, Industrial
Md Golam Rabbani Fahad, Rouzbeh Nazari, M. H. Motamedi, Maryam Karimi
Summary: The accurate assessment of flood damage and structural resiliency is crucial for coastal communities. This study presents a comprehensive approach to quantify community-scale flood damage and structural resiliency by simulating large-scale coastal flooding and integrating a multidimensional flood-damage assessment model. The results indicate the framework's universal applicability and scalability.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Civil
Wei Ding, Guozhen Wei, Huicheng Zhou
Summary: This study introduces the concept of resilience to evaluate the ability of flood control systems to recover after extreme floods. A quantifiable measure of resilience is proposed, and a multi-objective optimization model is established to improve resilience and reduce flood risk. The results show that resilience can be improved without increasing flood risk by pre-releasing water and releasing slowly during the flood.
JOURNAL OF HYDROLOGY
(2023)
Article
Engineering, Civil
Wei Pei, Lei Hao, Qiang Fu, Yongtai Ren, Tianxiao Li
Summary: This paper introduces a new model based on clustering and information entropy in the projection pursuit model, which combines the classification advantages of clustering analysis and the evaluation advantages of the projection pursuit model. The new model performs better in high-dimensional data and is applied to agricultural drought risk assessment in Qiqihar, China.
WATER RESOURCES MANAGEMENT
(2023)
Article
Engineering, Civil
Dan Xu, Deping Liu, Dong Liu, Qiang Fu, Yan Huang, Mo Li, Tianxiao Li
Summary: The driving mechanism of agricultural soil-water resource system resilience was studied with a SSA-PP model, which identified key driving factors and provided effective ways to enhance resilience in the future.
JOURNAL OF HYDROLOGY
(2022)
Article
Geosciences, Multidisciplinary
Jieer Ruan, Yingbiao Chen, Zhiwei Yang
Summary: The study found that the overall urban resilience level of Guangzhou is at a medium level, with a slight upward trend, while state resilience is showing a noticeable decline trend. Areas with high comprehensive resilience are mainly in the main urban area, while areas with weak comprehensive resilience are mainly in the new urban development area. Vegetation coverage, regional economic spatial stability, and average rainfall show the most significant decreasing trends.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2021)
Article
Geosciences, Multidisciplinary
Emmanuel Mavhura, Tawanda Manyangadze, Komal Raj Aryal
Summary: This study developed a composite resilience index (CRI) to assess the resilience levels of 91 districts in Zimbabwe and found that districts with lower resilience levels are mainly rural and marginalized, while the most resilient districts are in urban areas with better service provision and infrastructure. Further factor analyses identified six latent factors behind resilience, which were mapped in a GIS environment to show their geographic variation in the country. The results confirmed spatial clustering of CRI and can be useful in planning mitigation, response, and preparedness measures across Zimbabwe.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2021)
Article
Chemistry, Multidisciplinary
Hafiz Suliman Munawar, Sara Imran Khan, Numera Anum, Zakria Qadir, Abbas Z. Kouzani, M. A. Parvez Mahmud
Summary: This study focused on assessing post-2010 flood risk management and resilience-building practices in District Layyah, Pakistan. Through exploratory research, it examined flood risk management practices at local government and community levels, revealing resilience-building efforts by the community through rehabilitation, participation, and indigenous practices. The study also investigated the role of local government and organizations in mitigating floods and improving flood resilience, while identifying tangible and intangible measures to reduce vulnerability and enhance flood risk governance at a local level.
APPLIED SCIENCES-BASEL
(2021)
Article
Environmental Studies
Meng Wei, Jiangang Xu, Yiwen Wang
Summary: This paper constructs a resilience assessment model for transport systems in the context of climate change based on an analysis of the spatial characteristics of regional transport networks and complex network theory. The empirical object of this study is the Pudong New Area in Shanghai, China. The results of this study provide a solid scientific basis for future flood disaster risk management in global coastal cities.
Article
Agronomy
Song Xu, Qiang Fu, Tianxiao Li, Fanxiang Meng, Dong Liu, Renjie Hou, Mo Li, Qinglin Li
Summary: Global warming has significantly altered the freeze-thaw state of soil in frozen regions, impacting water resources, ecological security, and agricultural production. Analysis of data over the past 60 years showed a decrease in frozen depth and changes in freezing/thawing dates, with implications for agricultural monitoring and regulation. This highlights the need to address the effects of climate change on soil conditions and agricultural production.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Agronomy
Mo Li, Xiaoxu Cao, Dong Liu, Qiang Fu, Tianxiao Li, Ruochen Shang
Summary: This paper establishes a model framework for the multi-dimensional optimization of agricultural water and land resources management in a changing environment. The model framework comprehensively allocates resources, balances conflicting goals, and proposes alternative allocation schemes to cope with environmental changes, leading to optimal adaptation allocation plans. The feasibility and practicality of the model framework are verified through a real-world case study, showing its potential for sustainable management of agricultural water resources and land resources.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Agronomy
Lingling Zhang, Peng Yu, Jilong Liu, Qiang Fu, Junfeng Chen, Yaoyu Wu, Xinyu Wei
Summary: Leaf area is an important factor affecting crop yield, and it exhibits spatial variability and scale dependence. In this study, we established multifractal models to analyze maize leaf area and its relationship with yield. The results showed that multifractal theory effectively characterized the spatial and temporal variability of maize leaf area and the multiscale relationship between leaf area and yield.
Article
Engineering, Civil
Muhammad Abrar Faiz, Yongqiang Zhang, Xuanze Zhang, Ning Ma, Santosh K. Aryal, Trinh Thi Viet Ha, Faisal Baig, Farah Naz
Summary: The new composite drought index (CDI), integrating multiple indicators, effectively monitors drought in 2417 grid cells in China, demonstrating better performance in stable soil moisture detection and drought monitoring compared to PDSI and EIDI.
JOURNAL OF HYDROLOGY
(2022)
Article
Water Resources
Wei Pei, Qiang Fu, Yongtai Ren, Tianxiao Li
Summary: The paper introduces a new drought index ACDI suitable for rainfed agriculture in arid areas, and compares it with other drought indexes. The results indicate that ACDI performs better in distinguishing the degree of drought and has a higher correlation with grain yield.
HYDROLOGICAL PROCESSES
(2022)
Article
Meteorology & Atmospheric Sciences
Fanxiang Meng, Zongliang Wang, Qiang Fu, Tianxiao Li, Xu Yang, Ennan Zheng, Ge Zhang, Qing Zhuang, Qiyang Fu, Yuan Zhang
Summary: This study analyzes the evolution of freezing depth in seasonal frozen soil in Heilongjiang Province, China, and its correlation with average winter half-year temperature. The results indicate that both average and maximum freezing depths are decreasing, with a negative correlation to winter half-year temperature. These findings provide theoretical basis for the design and selection of hydraulic structures in cold regions, as well as regional development and agricultural planning.
JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY
(2022)
Article
Green & Sustainable Science & Technology
Lili Jiang, Yunxing Wu, Xiaolong He, Qiang Fu, Zilong Wang, Qiuxiang Jiang
Summary: The evaluation of the sustainable utilization capacity of water resources is of great significance. This study proposed a water footprint sustainability system and used system dynamics to assess the influence of water resources on the environment, economy, and society. The results showed fluctuating increases in water footprints, except for gray water footprint, domestic water footprint, and industrial water footprint which exhibited fluctuating decreases. The predictions indicated stability in green water footprint, agricultural water footprint, and domestic water footprint, while other indicators would increase over time. Overall, the regional water footprint sustainability worsened, with varying degrees of coupling and coupling coordination in the system.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Green & Sustainable Science & Technology
Miao Zhang, Renjie Hou, Tianxiao Li, Qiang Fu, Shoujie Zhang, Anshuang Su, Ping Xue, Xuechen Yang
Summary: This study investigated the effects of different tillage patterns and biochar gradients on nitrogen use efficiency (NUE) and soil nitrogen fixation capacity of soybean. The results showed that biochar can enhance soil nitrogen fixation capacity, improve soybean's nitrogen use efficiency and yield, and reduce greenhouse gas emissions.
JOURNAL OF CLEANER PRODUCTION
(2022)
Review
Chemistry, Multidisciplinary
Fan Yang, Qiang Fu, Markus Antonietti
Summary: In recent years, the synthesis of artificial humic substances (A-HS) through alkaline hydrothermal processing of waste biomass has been described. These A-HS have shown to have various effects on soil, including water and mineral binding, soil structure alteration, inhibition of fertilizer mineralization, and promotion of plant growth. The observed macroscopic effects have been attributed to the stimulation of the microbiome, which plays a key role in this anthropogenic soil system. By understanding this complex system, it is possible to address global issues such as soil fertility, nutrition for a growing population, and climate change.
Article
Meteorology & Atmospheric Sciences
Muhammad Abrar Faiz, Yongqiang Zhang, Xiaoqiang Tian, Xuanze Zhang, Ning Ma, Santosh Aryal, Farah Naz
Summary: This study uses time series analysis to explore the propagation process of hydrological and soil moisture droughts caused by meteorological droughts in the Yellow River Basin and Hai River Basin of China. The average drought propagation time is found to be 3.4-8.3 months (meteorological drought to hydrological drought) and 2.3-5 months (meteorological drought to soil moisture drought).
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2023)
Article
Green & Sustainable Science & Technology
Ze He, Renjie Hou, Qiang Fu, Tianxiao Li, Shoujie Zhang, Anshuang Su
Summary: In this study, the effects of freeze-thaw cycles, straw and biochar applications on soil hydrothermal parameters were investigated. The results showed that freeze-thaw cycles affected soil porosity and destroyed soil aggregates, while straw and biochar applications increased total soil porosity and enhanced soil aggregate stability. The applications of straw and biochar also increased soil saturated hydraulic conductivity, with biochar showing a stronger improvement effect. A 1% biochar application was recommended as the optimal soil amendment.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Engineering, Civil
Wei Pei, Lei Hao, Qiang Fu, Yongtai Ren, Tianxiao Li
Summary: This paper introduces a new model based on clustering and information entropy in the projection pursuit model, which combines the classification advantages of clustering analysis and the evaluation advantages of the projection pursuit model. The new model performs better in high-dimensional data and is applied to agricultural drought risk assessment in Qiqihar, China.
WATER RESOURCES MANAGEMENT
(2023)
Article
Environmental Sciences
Mingyang Liu, Yinan Wang, Zhenxiang Xing, Xinlei Wang, Qiang Fu
Summary: In Heilongjiang Province, where rivers freeze in winter and break up in spring, accurate forecasting of river ice break-up dates is crucial for ice flood prevention and shipping. The CEEMDAN-LSTM model showed improved forecast accuracy compared with LSTM, providing valuable information for command, dispatch, and decision-making in ice flood control.
Article
Engineering, Chemical
Wenqi Zhou, Xue Ni, Kai Song, Nuan Wen, Jinwu Wang, Qiang Fu, Mingjun Na, Han Tang, Qi Wang
Summary: In this study, a high-efficiency drag-reducing bionic soil-loosening shovel was designed to address the common issues of high working resistance, low soil disturbance, and high rates of missed extraction in carrot combine harvesters. Physical parameters of the soil and carrots were measured, and a bionic drag-reducing shovel was designed based on the badger claw toe. The effects of operating speed, sliding angle, blade inclination angle, and blade opening angle on resistance, carrot extraction force, and soil disturbance rate were investigated.
Article
Agronomy
Wenqi Zhou, Kai Song, Xiaobo Sun, Qiang Fu, Yijia Wang, Qi Wang, Dongwei Yan
Summary: This study innovatively designed a water jet-based rice inter-plant weed control device, which can erode and excavate the soil layer on which weeds depend, achieving inter-plant weed control in paddy fields. The optimal structural parameters of the device were a jet angle of 31 degrees and a nozzle opening diameter of 4 mm, which can achieve the best operational performance. This study provides a technical reference for promoting the development of inter-plant weed control technology in paddy fields.
Article
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)