Hasil untuk "River, lake, and water-supply engineering (General)"

YAN Xiao-hu, LI Hai-feng, LI Da-hong, FENG Wei

[Objective] To facilitate the construction of asphalt concrete core walls in the severe cold regions of Western China, this paper undertakes a systematic investigation into the influence of acidic gravel aggregates on the performance characteristics of hydraulic asphalt concrete. [Methods] The research methodology and evaluation framework were strictly guided by two pivotal Chinese technical standards: Test Code for Hydraulic Asphalt Concrete (DL/T 5362-2018) and the more recent Technical Specification for the Application of Acidic Aggregates in Hydraulic Asphalt Concrete (DL/T 5876-2024). The key performance indicators (mechanical properties, deformation behavior, impermeability, and overall durability) of asphalt concrete incorporating crushed gravel aggregates were evaluated through asphalt concrete water stability tests, direct tensile tests, bending tests, pressure-based impermeability tests for dense-graded asphalt concrete, triaxial compression tests, long-term water immersion stability tests, and long-term freeze-thaw splitting tests. [Results] (1) Complex Composition and Durability Challenge: Gravel aggregates typically exhibited a complex mineralogical composition, encompassing alkaline, neutral, and acidic aggregates, with acidic rock types often being predominant. A primary concern identified was the inherently weak interfacial bonding force between asphalt binder and acidic aggregate surfaces. Under prolonged water immersion, this weak bond facilitated a gradual displacement process where water molecules infiltrated and substituted the asphalt at the aggregate interface, leading to stripping or detachment of the asphalt film from the aggregate surface. This mechanism posed a substantial threat to the long-term durability of the asphalt concrete. Consequently, a thorough durability assessment should be required when considering the application of gravel aggregates-based hydraulic asphalt concrete in critical structures. (2) Enhancement Mechanisms via Cement Filler and Anti-Stripping Agents: The study identified effective methods to mitigate the adhesion issue. Metal ions present in cement, such as Ca2+ and Mg2+, engaged in chemical bonding with oxygen atoms within the asphalt. In the mixing process, this interaction promoted a more robust and durable bond between the asphalt and the aggregates. Furthermore, the use of anti-stripping agents was found to be highly beneficial. These agents operated through multiple synergistic mechanisms, including chemical bonding with the aggregate surface, modification of the interfacial properties, and the creation of a physical barrier against water intrusion. Collectively, these actions significantly enhanced both the durability and the mechanical performance of asphalt concrete made with acidic aggregates. Incorporating cement filler alone, or using a combination of cement filler and non-amine anti-stripping agents, effectively strengthened the adhesive bond between the gravel aggregates and the asphalt matrix, thereby markedly improving the durability of the resulting acidic gravel aggregate hydraulic asphalt concrete. (3) Mechanical Behavior and Modeling: Asphalt concrete was recognized as a temperature-sensitive material. Analysis of triaxial test data revealed that the relationship between lateral strain and axial strain approximated a linear relationship. Specifically for the gravel aggregate asphalt concrete studied, its strength demonstrated a well-defined and favorable linear increase with rising confining pressure. The material's strength could be effectively characterized using the parameters of a linear strength model, namely the cohesion and the angle of internal friction. (4) Overall Performance Improvement: Incorporating cement filler or adding non-amine anti-stripping agents substantially improved the comprehensive performance profile of acidic gravel aggregate asphalt concrete. These enhancements directly translated to superior mechanical properties, increased resistance to water-induced damage, and extended long-term durability. [Conclusion] The application of acidic gravel aggregates in the construction of asphalt concrete core wall dams is demonstrated to be technically feasible. Key performance parameters evaluated in this study, including the long-term water immersion stability coefficient, the freeze-thaw cycle splitting tensile strength ratio, and the failure tensile strain, provide a robust theoretical foundation and essential technical support for the engineering application of this material.

Alexandra González, Xavier Franch, Silverio Martínez-Fernández

Integrating Artificial Intelligence into Software Engineering (SE) requires having a curated collection of models suited to SE tasks. With millions of models hosted on Hugging Face (HF) and new ones continuously being created, it is infeasible to identify SE models without a dedicated catalogue. To address this gap, we present SEMODS: an SE-focused dataset of 3,427 models extracted from HF, combining automated collection with rigorous validation through manual annotation and large language model assistance. Our dataset links models to SE tasks and activities from the software development lifecycle, offering a standardized representation of their evaluation results, and supporting multiple applications such as data analysis, model discovery, benchmarking, and model adaptation.

Golnoush Abaei, Mojtaba Shahin, Maria Spichkova

The inclusion of internship courses in Software Engineering (SE) programs is essential for closing knowledge gaps and improving graduates' readiness for the software industry. Our study focuses on year-long internships at RMIT University (Melbourne, Australia), which offers in-depth industry engagement. We analysed how the course evolved over the last 10 years to incorporate students' needs and summarised the lessons learned that can be helpful for other educators supporting internship courses. Our qualitative analysis of internship data based on 91 reports during 2023-2024 identified three challenge themes the students faced, and which courses were found by students to be particularly beneficial during their internships. On this basis, we proposed recommendations for educators and companies to help interns overcome challenges and maximise their learning experience.

Zirui Li, Stephan Husung, Haoze Wang

Cross-organizational collaboration in Model-Based Systems Engineering (MBSE) faces many challenges in achieving semantic alignment across independently developed system models. SysML v2 introduces enhanced structural modularity and formal semantics, offering a stronger foundation for interoperable modeling. Meanwhile, GPT-based Large Language Models (LLMs) provide new capabilities for assisting model understanding and integration. This paper proposes a structured, prompt-driven approach for LLM-assisted semantic alignment of SysML v2 models. The core contribution lies in the iterative development of an alignment approach and interaction prompts, incorporating model extraction, semantic matching, and verification. The approach leverages SysML v2 constructs such as alias, import, and metadata extensions to support traceable, soft alignment integration. It is demonstrated with a GPT-based LLM through an example of a measurement system. Benefits and limitations are discussed.

Jake Zappin, Trevor Stalnaker, Oscar Chaparro et al.

This position paper examines the substantial divide between academia and industry within quantum software engineering. For example, while academic research related to debugging and testing predominantly focuses on a limited subset of primarily quantum-specific issues, industry practitioners face a broader range of practical concerns, including software integration, compatibility, and real-world implementation hurdles. This disconnect mainly arises due to academia's limited access to industry practices and the often confidential, competitive nature of quantum development in commercial settings. As a result, academic advancements often fail to translate into actionable tools and methodologies that meet industry needs. By analyzing discussions within quantum developer forums, we identify key gaps in focus and resource availability that hinder progress on both sides. We propose collaborative efforts aimed at developing practical tools, methodologies, and best practices to bridge this divide, enabling academia to address the application-driven needs of industry and fostering a more aligned, sustainable ecosystem for quantum software development.

Riccardo Cappuzzo, Aimee Coelho, Felix Lefebvre et al.

Machine-learning from a disparate set of tables, a data lake, requires assembling features by merging and aggregating tables. Data discovery can extend autoML to data tables by automating these steps. We present an in-depth analysis of such automated table augmentation for machine learning tasks, analyzing different methods for the three main steps: retrieving joinable tables, merging information, and predicting with the resultant table. We use two data lakes: Open Data US, a well-referenced real data lake, and a novel semi-synthetic dataset, YADL (Yet Another Data Lake), which we developed as a tool for benchmarking this data discovery task. Systematic exploration on both lakes outlines 1) the importance of accurately retrieving candidate tables to join, 2) the efficiency of simple merging methods, and 3) the resilience of tree-based learners to noisy conditions. Our experimental environment is easily reproducible and based on open data, to foster more research on feature engineering, autoML, and learning in data lakes.

YANG Wenchun, ZHU Wenxiang, GU Guihua

In recent years,the continuous decline of water level in Fuxian Lake has attracted the attention of all walks of life.In order to explore the water level change characteristics and driving mechanism of Fuxian Lake,based on the daily observation data of Fuxian lake water level station from 1953 to 2021,combined with the precipitation and evaporation data of the basin over the years,the water storage data of the lake and relevant investigations,the Kendall rank test method,water balance method and relative evaluation method are adopted for analysis.The result is:① From 1953 to 2021,the average annual water level of Fuxian Lake was 1 722.02 m;From 1950s to 2010s,the interdecadal variation characteristics of water level in Fuxian Lake are roughly as follows:Rise→Fall→Fall→Rise→Big rise→Big fall;The water level of Fuxian Lake shows an insignificant downward trend.② The low water level of Fuxian Lake occurs in May,and the high water level basically occurs in October (occasionally in September).③ The period from 2010 to 2021 is the lowest water level period in the history of Fuxian Lake.The average water level and the average water level process within the year are below the legal minimum operating water level.The assurance rate of annual,monthly and daily average water level meeting the statutory minimum operating water level is 33.3%,34.7% and 35.9% respectively.④ Since 2000,human activities have been the main factor causing the water level of Fuxian Lake to rise and fall significantly.

Oluwatosin Ogundare, Srinath Madasu, Nathanial Wiggins

Large Language Models (LLMs) have shown great potential in solving complex problems in various fields, including oil and gas engineering and other industrial engineering disciplines like factory automation, PLC programming etc. However, automatic identification of strong and weak solutions to fundamental physics equations governing several industrial processes remain a challenging task. This paper identifies the limitation of current LLM approaches, particularly ChatGPT in selected practical problems native to oil and gas engineering but not exclusively. The performance of ChatGPT in solving complex problems in oil and gas engineering is discussed and the areas where LLMs are most effective are presented.

Oliver Karras, Felix Wernlein, Jil Klünder et al.

[Background.] Empirical research in requirements engineering (RE) is a constantly evolving topic, with a growing number of publications. Several papers address this topic using literature reviews to provide a snapshot of its "current" state and evolution. However, these papers have never built on or updated earlier ones, resulting in overlap and redundancy. The underlying problem is the unavailability of data from earlier works. Researchers need technical infrastructures to conduct sustainable literature reviews. [Aims.] We examine the use of the Open Research Knowledge Graph (ORKG) as such an infrastructure to build and publish an initial Knowledge Graph of Empirical research in RE (KG-EmpiRE) whose data is openly available. Our long-term goal is to continuously maintain KG-EmpiRE with the research community to synthesize a comprehensive, up-to-date, and long-term available overview of the state and evolution of empirical research in RE. [Method.] We conduct a literature review using the ORKG to build and publish KG-EmpiRE which we evaluate against competency questions derived from a published vision of empirical research in software (requirements) engineering for 2020 - 2025. [Results.] From 570 papers of the IEEE International Requirements Engineering Conference (2000 - 2022), we extract and analyze data on the reported empirical research and answer 16 out of 77 competency questions. These answers show a positive development towards the vision, but also the need for future improvements. [Conclusions.] The ORKG is a ready-to-use and advanced infrastructure to organize data from literature reviews as knowledge graphs. The resulting knowledge graphs make the data openly available and maintainable by research communities, enabling sustainable literature reviews.

Hanwen Zhang, Richard F. Katz, Laura A. Stevens

Drainage of supraglacial lakes to the ice-sheet bed can occur when a hydrofracture propagates downward, driven by the weight of the water in the lake. For supraglacial lakes in the grounding zones of Antarctic glaciers, the mechanics of drainage is complicated by their proximity to the grounding line. Recently, a series of supraglacial lake-drainage events through hydrofractures was observed in the Amery Ice Shelf grounding zone, East Antarctica. The lake depth at drainage varied considerably between events, raising questions about the mechanisms that induce hydrofracture, even at low lake depths. Here we use a modelling approach to investigate the contribution of tidally driven flexure to hydrofracture propagation. We model the viscoelastic response of a marine ice sheet to tides, the stresses that are induced, and the contribution of tidal stresses to hydrofracture propagation. Our results show that ocean tides and lake-water pressure together control supraglacial lake drainage through hydrofractures in the grounding zone. We give a model-based criterion that predicts supraglacial lake drainage as a function of daily maximum tidal amplitude and lake depth. Our model-based criterion agrees with remotely sensed data, indicating the importance of tidal flexure to processes associated with hydrofracturing such as supraglacial lake drainage, rifting and calving.

S.R. Sadvakasova, A.U. Shynybek, T. Musina

It is known that the state and development of both the biosphere and human society directly depends on the state of water resources. Among the problems facing humanity in recent decades, experts and politicians put the problem of water in the first place. One of these phenomena is undoubtedly flooding. Floods can sometimes be a source of prosperity, but they can also pose a serious threat to many large settlements. Today, in the course of scientific and technological development, humanity has learned to deal with river disasters to a certain extent, regulate the flow of important rivers, control changes in the water level in the river, etc. b. An important issue today is a comprehensive assessment of possible risks of river flooding. In particular, this applies to the territory of developing countries, where the network of monitoring stations is not yet sufficiently developed, and river systems are poorly studied. The territory of the Republic of Kazakhstan cannot boast of a large number of large rivers and lakes. However, every spring in some areas of the republic there are often problems with flooding. The article considers the consequences of floods typical for some areas of the East Kazakhstan region. The characteristic of the state of the river basin in the spring-summer period and the general river network is given. A brief overview of floods in the study area that have occurred over the past 10 years was conducted. The analysis of the flooding of the river basin with the provision of satellite images is given. Based on the generalization of foreign and domestic experience, engineering and non-engineering measures to reduce the risk of flooding were proposed.

Lavrenti Chiburdanidze, Tsiskara Zarandia

The article presents the analytical description of the current situation of aquaculture development in Samtskhe-Javakheti region and in Georgia in general. The data about sector development natural potential are provided, the indicators of the fish production dynamics are analyzed in the paper. Water resources have a great potential and their ecological-sound use enables Georgia to meet not only an internal demand of the country on the fresh water fish, but also due to specifics of the local waters, produce export product. Internal water resource of fresh water for fishery production includes total water surface of 16,900 ha of 860 lakes. Samtskhe-Javakheti region is distinguished with the specific water resources compared to other regions. The regions is rich with the hydro-resources, including the R. Mtkvari water-collecting basin, the basin of the rivers Uraveli, Paravani, Borjomistskali and Gujaretistskali with total size 6,250 m2, with the total water resource of 3, 475 mln m3. The region territory covers 15 non-drying, 25 drying and 64 little lakes, 5 water reservoirs transforming into the swamp of the hydro-resource objects. The total size of the basin of the main lake exceeds 983 m2, the volume of the water reaches to 400 million m3. The water reservoir located in the Lirbalakhi basin in the region includes 2.08 million m3, and the size of the swamps is 817 ha in the region. The article studies the dynamics of the land plots occupied by aquaculture. According to the data, there is 23% of growth of the land plots occupied by aquaculture in entire Georgia; while the situation is different in the target region, there is 10% of reduction, followed by reduction of the share of aquaculture land from 11.1% until 10.6%. Study of the aquaculture fodder supply demonstrated that use of combined fodder is increasing in Georgia; average rate of the growth consists of 5-7 % in the country, while the rate is higher in Samtskhe-Javakheti region, where use of combined fodder achieved 35% of growth. There is tendency of growth in use of all kind of fodder. The index of the fodder expenses reached 1.30 throughout entire country, while it is 1.38 in Samtskhe-Javakheti, indicating strengthening of the fodder basis and intensive development of the field. The analysis of fish production dynamics is also an indicator for the further development of the aquaculture. In 2021 compared to 2019, there is 16% of growth in production of the fish, comprising 2,861 tons. The growth achieved 24% in the same period in the region what can be considered as a positive phenomenon in fishery production in Georgia, where the share of the fish farms (family-run) was increased up to 60% with growing engagement of the farmers aged 25-45 from 20% up to 29%. The rate of fish production is in compliance with the increased rate of water stock. The study revealed the specific problems (fish structure, diversification of the fodder, veterinarian service, growing of young fish) requiring solution to increase development of fresh water fish breeding, making financial sustainability of farming and economic growth of the region.

ZHANG Di

Taking the Qingliangshan Reservoir Watershed as the research object,this study builds a soil and water assessment tool (SWAT) model to calculate reservoir inflow and nitrogen and phosphorus fluxes by simulation and thereby explore the spatio-temporal distribution characteristics and potential spatial sources of nitrogen and phosphorus.The following observations can be made from the results.The multi-year average inflow into the Qingliangshan Reservoir is 2.77 m³/s, and the total nitrogen (TN) and total phosphorus (TP) inflow fluxes into the reservoir are 33 030.3 kg/a and 2 282.0 kg/a, respectively.The TN and TP inflow fluxes of the Xintian tributary (TN:19 882.7 kg/a;TP:1 275.4 kg/a) into the reservoir are higher than those of the Xitian tributary (TN:12 977.5 kg/a,TP:956.9 kg/a).The nitrogen and phosphorus inflow fluxes in the flood season are also higher than those in the non-flood season,with peak concentrations of TN and TP in the water both observed before the flood season.Large TN and TP loads are mainly distributed in the central area of the watershed. Specifically,the TN load is concentrated in areas with a high proportion of agricultural land,while the TP load is concentrated in areas with a high proportion of Ferric Acrisols (ACf).The nitrogen in the watershed primarily comes from agricultural fertilization,whereas the phosphorus possibly comes from natural sources.The results provide a scientific basis for the management of the water environment in the watershed.

Nikolas Martelaro, Carol J. Smith, Tamara Zilovic

Embedding artificial intelligence into systems introduces significant challenges to modern engineering practices. Hazard analysis tools and processes have not yet been adequately adapted to the new paradigm. This paper describes initial research and findings regarding current practices in AI-related hazard analysis and on the tools used to conduct this work. Our goal with this initial research is to better understand the needs of practitioners and the emerging challenges of considering hazards and risks for AI-enabled products and services. Our primary research question is: Can we develop new structured thinking methods and systems engineering tools to support effective and engaging ways for preemptively considering failure modes in AI systems? The preliminary findings from our review of the literature and interviews with practitioners highlight various challenges around integrating hazard analysis into modern AI development processes and suggest opportunities for exploration of usable, human-centered hazard analysis tools.

Sebastián Pizard, Diego Vallespir, Barbara Kitchenham

Context: Evidence-based software engineering (EBSE) can be an effective resource to bridge the gap between academia and industry by balancing research of practical relevance and academic rigor. To achieve this, it seems necessary to investigate EBSE training and its benefits for the practice. Objective: We sought both to develop an EBSE training course for university students and to investigate what effects it has on the attitudes and behaviors of the trainees. Method: We conducted a longitudinal case study to study our EBSE course and its effects. For this, we collect data at the end of each EBSE course (2017, 2018, and 2019), and in two follow-up surveys (one after 7 months of finishing the last course, and a second after 21 months). Results: Our EBSE courses seem to have taught students adequately and consistently. Half of the respondents to the surveys report making use of the new skills from the course. The most-reported effects in both surveys indicated that EBSE concepts increase awareness of the value of research and evidence and EBSE methods improve information gathering skills. Conclusions: As suggested by research in other areas, training appears to play a key role in the adoption of evidence-based practice. Our results indicate that our training method provides an introduction to EBSE suitable for undergraduates. However, we believe it is necessary to continue investigating EBSE training and its impact on software engineering practice.

WANG Shuhe

In order to scientifically and reasonably evaluate the current situation of water poverty in the Yellow River Basin,and strengthen the planning and management of the sustainability of water resources in the Yellow River Basin,this paper builds a water poverty index model based on the theory of water poverty,measures the level of water poverty of 9 provinces in the Yellow River Basin from 2011 to 2017 by the model,and analyzes its temporal and spatial differences and influencing factors.The results show that:①The water poverty of the 9 provinces in the Yellow River Basin was serious overall,the water poverty gap was widening year by year,and the WPI rankings of the provinces were changed.②There were significant spatial differences in the level of water poverty,including severe water poverty,moderate water poverty,and mild water poverty.③From the overall perspective of the Yellow River Basin,the industrial structure had a negative impact,while the environmental regulation,technical level,farmland water conservancy facilities construction and soil erosion control area had positive impacts;from a provincial perspective,the key factors affecting the level of water poverty in each province were different,based on which suggestions on promoting the efficient use of water resources and alleviating the water poverty are put forward.

邓神宝, 孙雨, 杨健达 et al.

XU Lingyun

How to scientifically understand and effectively control non-point source pollution has become one of the important topics in river basin pollution prevention and control.Taking Heishui River Basin as the research area,this paper establishes the spatial database of basin underlying surface based on GIS platform,simulates the annual runoff,sediment and nutrient output in Heishui River Basin and its sub-basins through SWAT model,designs the environmental protection scheme from the perspective of the influence of land use change on non-point source pollution,and simulates the sediment and nutrient output in Heishui River Basin under different schemes,which can provide practical solutions for the control of non-point source pollution load in this basin.

Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio et al.

To perform their daily tasks, developers intensively make use of existing resources by consulting open-source software (OSS) repositories. Such platforms contain rich data sources, e.g., code snippets, documentation, and user discussions, that can be useful for supporting development activities. Over the last decades, several techniques and tools have been promoted to provide developers with innovative features, aiming to bring in improvements in terms of development effort, cost savings, and productivity. In the context of the EU H2020 CROSSMINER project, a set of recommendation systems has been conceived to assist software programmers in different phases of the development process. The systems provide developers with various artifacts, such as third-party libraries, documentation about how to use the APIs being adopted, or relevant API function calls. To develop such recommendations, various technical choices have been made to overcome issues related to several aspects including the lack of baselines, limited data availability, decisions about the performance measures, and evaluation approaches. This paper is an experience report to present the knowledge pertinent to the set of recommendation systems developed through the CROSSMINER project. We explain in detail the challenges we had to deal with, together with the related lessons learned when developing and evaluating these systems. Our aim is to provide the research community with concrete takeaway messages that are expected to be useful for those who want to develop or customize their own recommendation systems. The reported experiences can facilitate interesting discussions and research work, which in the end contribute to the advancement of recommendation systems applied to solve different issues in Software Engineering.

Yiting T. Wang, Xianghui Liu, Weijie Hu

Statement of Retraction We, the Editor and Publisher of the journal European Journal of Remote Sensing, have retracted the following articles that were published in the Special Issue titled “Remote Sensing in Water Management and Hydrology”: Marimuthu Karuppiah, Xiong Li & Shehzad Ashraf Chaudhry (2021) Guest editorial of the special issue “remote sensing in water management and hydrology”, European Journal of Remote Sensing, 54:sup2, 1-5, DOI: 10.1080/22797254.2021.1892335 Jian Sheng, Shiyi Jiang, Cunzhu Li, Quanfeng Liu & Hongyan Zhang (2021) Fluid-induced high seismicity in Songliao Basin of China, European Journal of Remote Sensing, 54:sup2, 6-10, DOI: 10.1080/22797254.2020.1720525 Guohua Wang, Jun Tan & Lingui Wang (2021) Numerical simulation of temperature field and temperature stress of thermal jet for water measurement, European Journal of Remote Sensing, 54:sup2, 11-20, DOI: 10.1080/22797254.2020.1743956 Le Wang, Guancheng Jiang & Xianmin Zhang (2021) Modeling and molecular simulation of natural gas hydrate stabilizers, European Journal of Remote Sensing, 54:sup2, 21-32, DOI: 10.1080/22797254.2020.1738901 Tianyi Chen, Lu Bao, Liu Bao Zhu, Yu Tian, Qing Xu & Yuandong Hu (2021) The diversity of birds in typical urban lake-wetlands and its response to the landscape heterogeneity in the buffer zone based on GIS and field investigation in Daqing, China, European Journal of Remote Sensing, 54:sup2, 33-41, DOI: 10.1080/22797254.2020.1738902 Zhiyong Wang (2021) Research on desert water management and desert control, European Journal of Remote Sensing, 54:sup2, 42-54, DOI: 10.1080/22797254.2020.1736953 Ji-Tao Li & Yong-Quan Liang (2021) Research on mesoscale eddy-tracking algorithm of Kalman filtering under density clustering on time scale, European Journal of Remote Sensing, 54:sup2, 55-64, DOI: 10.1080/22797254.2020.1740894 Wei Wang, R. Dinesh Jackson Samuel & Ching-Hsien Hsu (2021) Prediction architecture of deep learning assisted short long term neural network for advanced traffic critical prediction system using remote sensing data, European Journal of Remote Sensing, 54:sup2, 65-76, DOI: 10.1080/22797254.2020.1755998 Yan Chen, Ming Tan, Jiahua Wan, Thomas Weise & Zhize Wu (2021) Effectiveness evaluation of the coupled LIDs from the watershed scale based on remote sensing image processing and SWMM simulation, European Journal of Remote Sensing, 54:sup2, 77-91, DOI: 10.1080/22797254.2020.1758962 Ke Deng & Ming Chen (2021) Blasting excavation and stability control technology for ultra-high steep rock slope of hydropower engineering in China: a review, European Journal of Remote Sensing, 54:sup2, 92-106, DOI: 10.1080/22797254.2020.1752811 Yufa He, Xiaoqiang Guo, Jun Liu, Hongliang Zhao, Guorong Wang & Zhao Shu (2021) Dynamic boundary of floating platform and its influence on the deepwater testing tube, European Journal of Remote Sensing, 54:sup2, 107-116, DOI: 10.1080/22797254.2020.1762246 Kai Peng, Yunfeng Zhang, Wenfeng Gao & Zhen Lu (2021) Evaluation of human activity intensity in geological environment problems of Ji’nan City, European Journal of Remote Sensing, 54:sup2, 117-121, DOI: 10.1080/22797254.2020.1771214 Wei Zhu, XiaoSi Su & Qiang Liu (2021) Analysis of the relationships between the thermophysical properties of rocks in the Dandong Area of China, European Journal of Remote Sensing, 54:sup2, 122-131, DOI: 10.1080/22797254.2020.1763205 Yu Liu, Wen Hu, Shanwei Wang & Lingyun Sun (2021) Eco-environmental effects of urban expansion in Xinjiang and the corresponding mechanisms, European Journal of Remote Sensing, 54:sup2, 132-144, DOI: 10.1080/22797254.2020.1803768 Peng Qin & Zhihui Zhang (2021) Evolution of wetland landscape disturbance in Jiaozhou Gulf between 1973 and 2018 based on remote sensing, European Journal of Remote Sensing, 54:sup2, 145-154, DOI: 10.1080/22797254.2020.1758963 Mingyi Jin & Hongyan Zhang (2021) Investigating urban land dynamic change and its spatial determinants in Harbin city, China, European Journal of Remote Sensing, 54:sup2, 155-166, DOI: 10.1080/22797254.2020.1758964 Balaji L. & Muthukannan M. (2021) Investigation into valuation of land using remote sensing and GIS in Madurai, Tamilnadu, India, European Journal of Remote Sensing, 54:sup2, 167-175, DOI: 10.1080/22797254.2020.1772118 Xiaoyan Shi, Jianghui Song, Haijiang Wang & Xin Lv (2021) Monitoring soil salinization in Manas River Basin, Northwestern China based on multi-spectral index group, European Journal of Remote Sensing, 54:sup2, 176-188, DOI: 10.1080/22797254.2020.1762247 GN Vivekananda, R Swathi & AVLN Sujith (2021) Multi-temporal image analysis for LULC classification and change detection, European Journal of Remote Sensing, 54:sup2, 189-199, DOI: 10.1080/22797254.2020.1771215 Yiting Wang, Xianghui Liu & Weijie Hu (2021) The research on landscape restoration design of watercourse in mountainous city based on comprehensive management of water environment, European Journal of Remote Sensing, 54:sup2, 200-210, DOI: 10.1080/22797254.2020.1763206 Bao Qian, Cong Tang, Yu Yang & Xiao Xiao (2021) Pollution characteristics and risk assessment of heavy metals in the surface sediments of Dongting Lake water system during normal water period, European Journal of Remote Sensing, 54:sup2, 211-221, DOI: 10.1080/22797254.2020.1763207 Jin Zuo, Lei Meng, Chen Li, Heng Zhang, Yun Zeng & Jing Dong (2021) Construction of community life circle database based on high-resolution remote sensing technology and multi-source data fusion, European Journal of Remote Sensing, 54:sup2, 222-237, DOI: 10.1080/22797254.2020.1763208 Zilong Wang, Lu Yang, Ping Cheng, Youyi Yu, Zhigang Zhang & Hong Li (2021) Adsorption, degradation and leaching migration characteristics of chlorothalonil in different soils, European Journal of Remote Sensing, 54:sup2, 238-247, DOI: 10.1080/22797254.2020.1771216 R. Vijaya Geetha & S. Kalaivani (2021) A feature based change detection approach using multi-scale orientation for multi-temporal SAR images, European Journal of Remote Sensing, 54:sup2, 248-264, DOI: 10.1080/22797254.2020.1759457 LianJun Chen, BalaAnand Muthu & Sivaparthipan cb (2021) Estimating snow depth Inversion Model Assisted Vector Analysis based on temperature brightness for North Xinjiang region of China, European Journal of Remote Sensing, 54:sup2, 265-274, DOI: 10.1080/22797254.2020.1771217 Yajuan Zhang, Cuixia Li & Shuai Yao (2021) Spatiotemporal evolution characteristics of China’s cold chain logistics resources and agricultural product using remote sensing perspective, European Journal of Remote Sensing, 54:sup2, 275-283, DOI: 10.1080/22797254.2020.1765202 Guangping Liu, Jingmei Wei, BalaAnand Muthu & R. 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