Advances In Water Resources Research Articles

Analysis of Financial Needs and Financial Support Models for the Development of Marine Economy

Wang, C.; Wang, X.Y.; Wei, Y.S., and Ding, W.W., 2020. Analysis of financial needs and financial support models for the development of marine economy. In: Bai, X. and Zhou, H. (eds.), Advances in Water Resources, Environmental Protection, and Sustainable Development. Journal of Coastal Research, Special Issue No. 115, pp. 232-234. Coconut Creek (Florida), ISSN 0749-0208.At present, deepening the supply-side reform in the marine field, realizing the high-quality development of marine economy and building a new growth pole of China's economic development have become the urgent requirements of marine economic work in the new era. Based on the five new development concepts of innovation, coordination, green, openness and sharing, the evaluation index system of marine economic development quality is established, and the entropy method is used to evaluate and empirically analyze the quality of marine economic development. To promote the deep integration of industry, education and research, strengthen marine scientific and technological innovation forces to promote the high-quality development of marine economy.

Research on Environment Education Strategy Water Resource Utilization Based on Dynamics

Wu, K.R. and Tian, M., 2020. Research on environment education strategy water resource utilization based on dynamics. In: Bai, X. and Zhou, H. (eds.), Advances in Water Resources, Environmental Protection, and Sustainable Development. Journal of Coastal Research, Special Issue No. 115, pp. 498-501. Coconut Creek (Florida), ISSN 0749-0208.Nowadays, water resource utilization is the focus of the world, and people have higher requirements for a good water resource utilization. This paper based on the system dynamics to explore strategies to increase the quality of environmental education for college students. The index evaluation system of teachers' environmental education and teaching ability, students' learning level in class and students' practice level is constructed. The system dynamics model is established on each evaluation index system, and each index system is simulated and evaluated respectively. Finally, the stability of the system dynamics model is tested by sensitivity analysis. Conclusion shows that colleges should pay attention to the output of environmental research projects and encourage students to participate in scientific research projects, which can improve the quality of environmental education.

Estimating Soil Water Characteristic Curve from soil Physical-Chemical properties in Alluvial Plain

Qin, W.J. and Fan, G.S., 2020. Estimating soil water characteristic curve from soil physical-chemical properties in alluvial plain. In: Bai, X. and Zhou, H. (eds.), Advances in Water Resources, Environmental Protection, and Sustainable Development. Journal of Coastal Research, Special Issue No. 115, pp. 421-424. Coconut Creek (Florida), ISSN 0749-0208.The soil water characteristic curve is an important equation of soil hydraulics, which plays a decisive role in the storage and transport of soil water, and has potential influences of hydrological and ecological processes in whole ecosystems. In order to understand the controlling factors affect Van Genuchten model parameters in Alluvial Plain, ninety undisturbed soil samples were collected from Chanyuan River and Xishan Lake. The direct determination of the soil water characteristic curve has the defects of time-consuming and high cost, the BP based on genetic algorithm optimization model was proposed to obtain the Van Genuchten model parameters from easily-obtained soil physical-chemical properties. The research results provide a basis for the further study of soil water holding capacity of undisturbed soil, and also provide a more accurate method for obtaining soil water characteristic curve in Alluvial Plain.

Mechanism of Land Subsidence of Plateau Lakeside Kunming City Cluster (China) by MT-InSAR and Leveling Survey

Li, S.M.; Wang, Z.M.; Yuan, L.W.; Li, X.X.; Huang, Y.Z., and Guo, R., 2020. Mechanism of land subsidence of plateau lakeside Kunming city cluster (China) by MT-InSAR and leveling survey. In: Bai, X. and Zhou, H. (eds.), Advances in Water Resources, Environmental Protection, and Sustainable Development. Journal of Coastal Research, Special Issue No. 115, pp. 666-675. Coconut Creek (Florida), ISSN 0749-0208.The Kunming city cluster (KCC) is located around the lakeside of Dianchi Lake, a plateau lake in Kunming Basin southwest of China, which is of complex geological structures and evolutionary history, and belongs to an earthquake fault depression area, where faults are developed and crustal stability is poor. Influenced by regional uplift and continuous subsidence of lakeside areas, the land subsidence characteristics of KCC are quite complex. The subsidence mechanism shows multi-inducement and multi-source property. In this paper, the land subsidence ranges, subsidence rate and subsidence spatio-temporal variation pattern of KCC were analyzed, mainly based on multi-temporal interferometry synthetic aperture radar (MT-InSAR), supplemented by leveling survey data, from 1986 to 2018. The effects of various controlling factors on land subsidence were studied respectively, such as geological structure, stratigraphic distribution, groundwater exploitation, and loads on the ground due to infrastructure construction and human activities, and the internal mechanism and response relation between the subsidence and the factors were studied too. The controlling factors and variation pattern of land subsidence in KCC were identified. The results have shown that the land subsidence of KCC is mainly affected by the tectonic activity in this area, fault basin landform sediments provide conditions for the development and speed up of land subsidence, and the previous land subsidence areas were closely related to the excessive exploitation of groundwater. However, in recent years, the subsidence areas expand continuously due to increases of loads from human activities. By analyzing the controlling factors and spatio-temporal variation pattern of land subsidence in the study areas, this paper has preliminarily revealed the land subsidence mechanism, which will provide reasonable theoretical reference and practical guidance for identifying and eliminating the potential land subsidence hazards and urban development planning in the plateau lakeside city cluster.

Small Port Detection Based on Combination of Shoreline Feature Points in Polarimetric SAR Images

Du, Y. and Yang, N., 2020. Small port detection based on combination of shoreline feature points in polarimetric SAR Images. In: Bai, X. and Zhou, H. (eds.), Advances in Water Resources, Environmental Protection, and Sustainable Development. Journal of Coastal Research, Special Issue No. 115, pp. 102-105. Coconut Creek (Florida), ISSN 0749-0208.SAR (Synthetic Aperture Radar) is a coherent imaging radar mechanism working in microwave band. SAR image classification is the main component of remote sensing image classification. It has certain penetrability to the surface vegetation and is increasingly becoming one of the most representative earth observation methods today. This paper presents a method of merging shoreline feature points suitable for small port inspection. Firstly, the polarimetric SAR image level set segmentation algorithm is used to realize the accurate segmentation of land and sea, then it is fused with the classical edge detector based on statistical characteristics, and the rough detection of small ports is realized through the characteristics of less edge and good overall connectivity in the sea surface area. On this basis, the classification is completed iteratively by using complex Wishart statistical features. The algorithm can better improve the edge smoothness and regional consistency, and improve the classification quality of polarimetric SAR images. The experimental results show that the method proposed in this paper can realize high-precision detection of bridges.

Research on Key Technologies of Spatio-Temporal Analysis and Prediction of Marine Ecological Environment Based on Association Rule Mining Analysis

Guo, Y.; Li, F., and Du, Q.Y., 2020. Research on key technologies of spatio-temporal analysis and prediction of marine ecological environment based on association rule mining analysis. In: Bai, X. and Zhou, H. (eds.), Advances in Water Resources, Environmental Protection, and Sustainable Development. Journal of Coastal Research, Special Issue No. 115, pp. 302-307. Coconut Creek (Florida), ISSN 0749-0208.With the upsurge of Marine development, Marine ecological environment is polluted, ecosystem structure degradation, red tide and other environmental problems. Aiming at the demand of spatio-temporal correlation analysis and dynamic prediction of Marine ecological environment, this paper analyzes the spatio-temporal evolution pattern of Marine ecological and marine conditions from the perspectives of distribution characteristics, distribution patterns and spatio-temporal variations. In order to explore the correlation and correlation between the temporal and spatial evolution of Marine ecological environment phenomena and environmental factors, a temporal and spatial mining analysis framework based on association rules was designed.

Research on the Influencing Factors of the Development Level of Marine Economy in Fujian Province

Zheng, D.C.; Chen, D.X., Lin, Q., 2020. Research on the influencing factors of the development level of marine economy in Fujian Province. In: Bai, X. and Zhou, H. (eds.), Advances in Water Resources, Environmental Protection, and Sustainable Development. Journal of Coastal Research, Special Issue No. 115, pp. 434-437. Coconut Creek (Florida), ISSN 0749-0208.The marine economy has become one of the most important growth points for the national economic development of Fujian Province. Studying the influencing factors of Fujian's marine economic development is of great significance to Fujian's marine economic development. This study divides the influencing factors of the marine economic development level of Fujian Province into three categories: marine economic industrial structure level, marine production support capacity, and marine economic science and education. On this basis, through factor analysis, principal component analysis and semi-logarithmic multiple regression model, the current status of Fujian's marine economic development level and its influencing factors are analyzed to draw conclusions: (1) Optimizing the marine economic industrial structure and increasing the proportion of the tertiary industry in the marine economy will be conductive to the development of the marine economy of Fujian Province; (2) Increasing the level of port industry intelligence can promote the development of Fujian's marine economy; (3) Strengthening the training of high-level marine professionals is the key to sustainable development of the marine economy.

Influence of Time and Space Analysis of Marine Economy on Catastrophe Insurance Risk Assessment

Yang, W., 2020. Influence of time and space analysis of marine economy on catastrophe insurance risk assessment. In: Bai, X. and Zhou, H. (eds.), Advances in Water Resources, Environmental Protection, and Sustainable Development. Journal of Coastal Research, Special Issue No. 115, pp. 583-586. Coconut Creek (Florida), ISSN 0749-0208.Catastrophe insurance is the risk of huge property loss and serious casualties caused by natural disasters. Through catastrophe insurance system, risks can be dispersed. Catastrophe is characterized by a low frequency of occurrence. But once it happens, its impact is generally beyond people's expectations. Among them, maritime catastrophe is the highest risk. Therefore, it is necessary to make early warning and assessment on the risk of marine catastrophe insurance. In the traditional methods of early warning and estimation, due to the divergence of the characteristic parameters of the model, the estimation of the influence of the parameters caused by the economic characteristics is insufficient. So the accuracy of the model is low. In this paper, the maritime catastrophe risk is pre-warning and assessment by using the spatial-temporal characteristics of marine economy. The model integrates support vector machine and neural network algorithm, and can deeply mine the spatial-temporal differentiation characteristics of marine economy. Therefore, the risk assessment model of catastrophe insurance has been optimized. The experimental results show that the model proposed in this paper can improve the risk assessment accuracy of catastrophe insurance, and has a certain reference value for the risk early warning of catastrophe insurance.

Selection Method of Optimal Wavelet Basis Function for Aeromagnetic Anomaly Signal Processing

Yu, Z.T.; Chen, J.; Zhang, B.Q.; Wang, D., and Jiang, H., 2020. Selection method of optimal wavelet basis function for aeromagnetic anomaly signal processing. In: Bai, X. and Zhou, H. (eds.), Advances in Water Resources, Environmental Protection, and Sustainable Development. Journal of Coastal Research, Special Issue No. 115, pp. 530-534. Coconut Creek (Florida), ISSN 0749-0208.We proposed a selection method of optimal wavelet basis function for the signal processing of aeromagnetic anomaly of underwater targets. Based on traditional evaluation index of signal processing, we firstly proposed the comprehensive evaluation index of wavelet basis function selection, which was based on traditional evaluation index of signal processing and wavelet features. Next, we used the comprehensive evaluation index to evaluate the processing results of the typical magnetic anomaly signals of underwater targets, and obtained the optimal wavelet basis function. Finally, we verified the proposed method by the aeromagnetic anomaly simulation signals of underwater targets. The experimental results show that the optimal wavelet basis functions obtained by the proposed method have a better enhancement effect on the aeromagnetic anomaly measurement signal of the underwater target.

Study on the Representation of Traditional Graphic Elements in Coastal Landscape Planning and Design

Zhao, P., 2020. Study on the representation of traditional graphic elements in coastal landscape planning and design. In: Bai, X. and Zhou, H. (eds.), Advances in Water Resources, Environmental Protection, and Sustainable Development. Journal of Coastal Research, Special Issue No. 115, pp. 253-255. Coconut Creek (Florida), ISSN 0749-0208.The coastal landscape is an important part of urban waterfront space and display windows. China's Greater Bay Area (9+2) cities: Guangzhou and Shenzhen, two sub-provincial cities and Zhuhai, Foshan, Dongguan, Zhongshan, Jiangmen, Huizhou, Zhaoqing, and two special administrative regions, Hong Kong and Macau The landscape design of the coastal zone should be a comprehensive design that can meet the needs of different urban characteristics and different urban populations, while bringing life and leisure activities to people, and bringing good ecological and environmental benefits to coastal cities. Therefore, the design of urban waterfront space becomes more and more important in urban planning and construction.

Application Analysis of PLC Technology in Automatic Control of Ship Auxiliary Machinery

Gao, M., 2020. Application analysis of plc technology in automatic control of ship auxiliary machinery. In: Bai, X. and Zhou, H. (eds.), Advances in Water Resources, Environmental Protection, and Sustainable Development. Journal of Coastal Research, Special Issue No. 115, pp. 130-132. Coconut Creek (Florida), ISSN 0749-0208.In the process of ships sailing on the sea, auxiliary machinery and equipment play an indispensable role, which not only can provide necessary services for ships, but also can ensure the normal navigation of ships. As an advanced technology, PLC technology of mechanical automation control has obvious characteristics, flexible and convenient operation and wide functions. The application of PLC technology in the automatic control system of ship auxiliary machinery is studied and analyzed to provide more favorable support for stable navigation of ships. In the application process of PLC ship auxiliary machinery control system, incomplete information, insufficient data and other uncertain factors will also have a great impact on the system, which will threaten the reliability of the system. Therefore, it is of great significance and far-reaching influence to strengthen the application of PLC technology in automatic control devices of ship auxiliary machinery.

Aesthetic Orientation of Nautical Charts and the Assimilation of Printmaking Attributes Based on Neural Network Analysis

Wang, W.D., 2020. Aesthetic orientation of nautical charts and the assimilation of printmaking attributes based on neural network analysis. In: Bai, X. and Zhou, H. (eds.), Advances in Water Resources, Environmental Protection, and Sustainable Development. Journal of Coastal Research, Special Issue No. 115, pp. 606-609. Coconut Creek (Florida), ISSN 0749-0208.In order to obtain the chart of sea land integration in a certain area quickly. This paper introduces a method of generating grid data of seabed regular digital elevation model (DEM) of electronic chart based on RBF neural network, which is aesthetic orientation of chart and assimilation of its print attributes. Thus, it lays a foundation for the realization of three-dimensional visualization of the electronic chart, in which the neural network algorithm is used to deal with the whole chart strictly. Experimental and practical results show that the method meets the application requirements.

Research on Optimization of Port Logistics Distribution Path Planning Based on Intelligent Group Classification Algorithm

Meng, X. and Li, X., 2020. Research on optimization of port logistics distribution path planning based on intelligent group classification algorithm. In: Bai, X. and Zhou, H. (eds.), Advances in Water Resources, Environmental Protection, and Sustainable Development. Journal of Coastal Research, Special Issue No. 115, pp. 205-207. Coconut Creek (Florida), ISSN 0749-0208.At present, the logistics industry has become an important part of social and economic development. The success of modern logistics enterprises depends on efficient cooperation with all upstream and downstream enterprises in the supply chain, and information technology is the prerequisite for such cooperation. Artificial Fish Swarm Algorithm (AFSA) is applied to robot path planning in intelligent bionic way. In order to improve the solving speed of the planning and reduce the length of the planning path, the convergence speed of the algorithm in the later stage is reduced and the local optimal solution is easily trapped. Location information is of great significance to the application of artificial fish swarm algorithm. The location of events or information sources is an important part of data transmission in sensor networks. The operation of the distribution system plays a vital role in the whole logistics system, and its analysis and design are the premise for its good operation.

Research on the Efficiency of China's Marine Industry Financial Support Based on DEA

Cao, Y.L., 2020. Research on the efficiency of china's marine industry financial support based on DEA. In: Bai, X. and Zhou, H. (eds.), Advances in Water Resources, Environmental Protection, and Sustainable Development. Journal of Coastal Research, Special Issue No. 115, pp. 217-219. Coconut Creek (Florida), ISSN 0749-0208.Financial support is the driving force and means for the development of marine industry. Improving the efficiency of financial support is the key to financial support. With the increasingly fierce market competition, only by relying on high-quality products and high customer satisfaction can enterprises survive in the fierce competition. Among many evaluation methods, Data Envelopment Analysis (DEA), as a non-parametric statistical method for effectively dealing with multi-input and multi-output problems, has received more and more attention in evaluating the relative efficiency of decision-making units. The adjustment and optimization of financial structure have been proved by theory and practice to promote economic growth, and financial support plays a decisive role in the development of marine industry. China's financial structure is still in the stage of scale expansion to promote the marine economy. In order to promote the improvement of marine industry, we should turn to the intensive mode of efficiency improvement. This paper extends from financial support to the study of financial support efficiency, and puts forward the method of using DEA model to evaluate and analyze the financial support efficiency of marine industry.

Research on Preparation and Casting Construction Technology of Self-compacting Concrete in Marine Climate Environments

Hou, H., 2020. Research on preparation and casting construction technology of self-compacting concrete in marine climate environments. In: Bai, X. and Zhou, H. (eds.), Advances in Water Resources, Environmental Protection, and Sustainable Development. Journal of Coastal Research, Special Issue No. 115, pp. 1-3. Coconut Creek (Florida), ISSN 0749-0208.In order to meet the requirements of the construction site, self-compacting concrete is mainly to find out how to reduce the water cement ratio to control the occurrence of shrinkage cracks on the premise of meeting the strength and fluidity of concrete, so as to achieve the balance between “high fluidity” and “high stability” of concrete. As self-compacting concrete can improve the construction performance of concrete and reduce labor costs, it is conducive to environmental protection, and at the same time it can improve the mechanical properties and durability of hardened concrete. In order to improve the durability of concrete structure of marine engineering, high performance concrete of marine engineering is used in the wharf and cross Sea Bridge to improve the service life of concrete structure. Based on the analysis of the application significance of self compacting concrete, this paper discusses the design key points of self compacting concrete in the marine climate environment, and analyzes the working and mechanical properties of self compacting concrete in the project.

Coastal Wind Speed's Multi-Parameter Forecasting Based on Quantitative Measurement of Its Predictability

Wan, J.; Yao, K.; Ren, G.R.; Cao, Y.; Wang, W.; Zhao, X.X., and Yu, J.L., 2020. Coastal wind speed's multi-parameter forecasting based on quantitative measurement of its predictability. In: Bai, X. and Zhou, H. (eds.), Advances in Water Resources, Environmental Protection, and Sustainable Development. Journal of Coastal Research, Special Issue No. 115, pp. 662-665. Coconut Creek (Florida), ISSN 0749-0208.Wind speed prediction has important significance and value to coastal wind power. And the statistical model based on historical data is one of the most common prediction methods, which has made great progress for hourly mean wind speed forecasting with almost no consideration of predictability. In this paper, the correlation analysis was introduced to analyze the optimal wind speed predictable length based on the non-stationarity analysis of wind speed time series. The experimental results based on a large number of measured wind speed data shown that there exists a specific correlation length for the nonlinear wind speed time series. With the increasing of the correlation length, the prediction error gradually decreased and then increased. Thus, the correlation length corresponding to the turning point could be recognized as the optimal predictable length. Therefore, correlation analysis could be used to measure the predictability of wind speed. Based on the results, the quantitative measurement and prediction strategy with multiple characterization parameters of wind speed uncertainty is also presented. And the SVR and DBN algorithms are selected for several tests to verify that this multi-parameter forecasting method is feasible in practice.

Research on Identification of Illegal Intrusion in Ship Communication Network Based on Depth Learning Algorithm

Xue, D., 2020. Research on identification of illegal intrusion in ship communication network based on depth learning algorithm. In: Bai, X. and Zhou, H. (eds.), Advances in Water Resources, Environmental Protection, and Sustainable Development. Journal of Coastal Research, Special Issue No. 115, pp. 127-129. Coconut Creek (Florida), ISSN 0749-0208.The intrusion characteristic of ship communication network has wide band and strict stability, which makes it vulnerable to small disturbance in intrusion detection and has poor detection performance. In order to ensure the security of communication, the security mechanism in the network system should be able to scan the system for vulnerabilities, at the same time, it should also be able to monitor, attack and counter-attack the network security in real time, thus intrusion detection system came into being. It is one of the main ways to protect the ship information security to classify the illegal intrusion nodes in the ship communication network. However, with the increase of the number of intrusion nodes, the classification error of the communication network intrusion nodes based on the deep learning algorithm is relatively large, so it is unable to realize the accurate identification and classification of the intrusion nodes. The successful implementation of the method based on deep learning algorithm and cloud computing can effectively improve the accuracy of location judgment of intrusion data and greatly shorten the time required for data feature extraction.

The Perception Difference Analysis of the Influence of Coastal Residents of Big Data Mining Technology on Marine Tourism Development

Yan, S.L., 2020. The perception difference analysis of the influence of coastal residents of big data mining technology on marine tourism development. In: Bai, X. and Zhou, H. (eds.), Advances in Water Resources, Environmental Protection, and Sustainable Development. Journal of Coastal Research, Special Issue No. 115, pp. 265-267. Coconut Creek (Florida), ISSN 0749-0208.With the continuous development of social economy in China, tourism as a major emerging industry gradually began to grow. As a choice direction of tourism, marine tourism has not only made great contributions to driving local economy and coordinating the comprehensive development of other industries, but also promoted the overall development of coastal cities. According to big data mining technology, this paper conceive a general model suitable for marine tourism development, and promote the healthy, stable and green development of marine tourism. Marine tourism has developed into the core industry of marine economy, and the future development prospects are bright. However, in the face of the blind exploitation of marine resources, it has caused serious damage to marine ecology. If the marine ecology can not be repaired and protected in time, the impact on marine tourism development will be devastating. Marine tourism is a brand new industry. After years of development, it has become the pillar of marine economy, and the future development space is huge. In recent years, the number of tourists received by the marine tourism industry has shown an upward trend every year, which also makes marine tourism face severe challenges. Therefore, digging deep into the development potential of marine tourism resources, deepening the quality and management level of tourism services, is an important way to meet the actual needs of tourists, optimize the existing industrial structure of tourism, and is also an important direction for the sustainable development of marine tourism industry.

Numerical Calculation of Non-Uniform Flow Field in Water Area at the End of a Breakwater

Li, Q. and Hong, B.G., 2020. Numerical calculation of non-uniform flow field in water area at the end of a breakwater. In: Bai, X. and Zhou, H. (eds.), Advances in Water Resources, Environmental Protection, and Sustainable Development. Journal of Coastal Research, Special Issue No. 115, pp. 494-497. Coconut Creek (Florida), ISSN 0749-0208.The control of ship motion in harbor water is a frontier problem in unmanned ship research. In harbor waters, affected by the shore type, the varied flow pattern has a great influence on ship motion. In this paper, numerical calculation method was used to study the influence of non-uniform flow on ship motion. a control-volume-based finite-difference scheme of the three-dimensional rectangular coordinate system was used for solving the two-phase transient Navier-Stokes equations. The dynamic process of water interaction with the ship and its (ship) free surface was investigated with the help of volume of fluid (VOF) technique. Moreover, the flow field and mechanical characteristics of the ship in the breakwater were analyzed under the action of cross flow. The force analysis of ship with respect to time and space such as the ship sailing out of breakwater with certain sail-angle and speed characteristics are also investigated. Finally, these numerical results were compared with that of experimental data which has a nice correlation with each other.

Research on Current Situation and Development of Marine Leisure Sports in Shandong Peninsula

Yu, Y., 2020. Research on current situation and development of marine leisure sports in Shandong peninsula. In: Bai, X. and Zhou, H. (eds.), Advances in Water Resources, Environmental Protection, and Sustainable Development. Journal of Coastal Research, Special Issue No. 115, pp. 123-126. Coconut Creek (Florida), ISSN 0749-0208.As a new field of mass sports development, marine leisure sports is playing an important role in modern economic society and mass sports leisure life with its unique characteristics, functions and significance. Leisure sports activities, as an effective means to enhance people's physique in their spare time, have attracted more and more attention. During this period, China's tourism industry developed by leaps and bounds, becoming the largest tourism consumption market in the world today. Leisure sports industry will play a more and more significant role in social and economic development as a new industry and sunrise industry. Shandong Peninsula is surrounded by the sea on three sides, with long winding coastline and broad beaches, which has unique advantages in marine resources. This paper introduces the current situation of the development of the marine sports culture in Shandong Peninsula, points out the difficulties faced by the current development of the marine sports culture in Shandong Peninsula, as well as the Countermeasures for the development of the marine leisure sports in the blue economic zone of Shandong Peninsula.