Sustainable development of water resources and hydraulic engineering in China : proceedings for the 2016 International Conference on Water Resource and Hydraulic Engineering

2016 International Conference on Water Resource and Hydraulic Engineering (2016 : Handan, China)


  • 2016 International Conference on Water Resource and Hydraulic Engineering (2016 : Handan, China)

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  • "This book presents the gatherings of the "2016 International Conference on Water Resource and Hydraulic Engineering," which primarily focused on the sustainable development of water resources and the environment in both China and the United States. The respective papers cover a wide variety of research areas, including watershed hydrology; river hydraulics; groundwater hydrology; water resources management and sustainability development; water supply planning under climate change; water quality analysis and water pollution; sponge city development and urban watershed management; environment and sustainability; global connections between air and water; and irrigation and drainage issues for agricultural engineering. The contributions will be of interest to a global readership and highlight the emerging problems facing developing countries, as well as research and measures to successfully deal with them and promote a greener and more eco-friendly living environment."--


  • 6 Conclusion


  • Intro; Preface; Contents; 1 Establishment of Groundwater Level Warning for Covered Karst Areas in Northern China; Abstract; 1 Introduction; 2 Method; 2.1 Establishment of the Criterion Model of GLW; 2.2 Establishment of the Criterion for GLW of Karst Collapse; 2.3 Evaluation of GLW for Single Observation Well; 2.4 Issue of Warning; 3 Verification; 3.1 Study Area; 3.2 Results; 4 Conclusion; References; 2 Flow Chocking Characteristics of Leak-Floor Flip Buckets; Abstract; 1 Introduction; 2 Experimental Setup; 3 Observations of Flow Choking; 4 Critical Flow Choking Froude Number; 5 Discussions
  • 6 ConclusionsAcknowledgements; References; 3 Effects of Brackish Water Salinity on the Soil Salt and Water Movements and the Cotton Seedling Growth Under Film Hole Irrigation; Abstract; 1 Introduction; 2 Materials and Methods; 2.1 Experiment Design; 2.2 Observation Items and Methods; 3 Results; 3.1 Effects of Brackish Water Salinity on Soil Water Movement; 3.2 Effects of Brackish Water Salinity on Soil Salt Movement; 3.3 Effects of Brackish Water Salinity on Emergence Rate and Seedling Height, Stem Diameter and Leaf Area of Cotton
  • 3.4 Effects of Brackish Water Salinity on Gas Exchange Parameters of Cotton Seedling4 Discussion; 5 Conclusion; Acknowledgements; References; 4 Risk Assessment of Rainstorm Waterlogging in New District Based on MIKE Urban; Abstract; 1 Introduction; 2 Regional Overview; 3 Construction of Model; 3.1 System Generalization; 3.2 Division of the Catchment Area; 3.3 Model Verification and Calibration; 4 Result and Analysis; 4.1 Scenario Simulation; 4.2 Simulation Result and Analysis; 5 Conclusion and Suggestion; Acknowledgements; References
  • 5 International Comparison of Water Resources Utilization Efficiency in ChinaAbstract; 1 Introduction; 2 Change in Water Consumption and Water Resource Utilization Efficiency in China; 2.1 Water Consumption; 2.2 Water Consumption Efficiency; 3 International Comparisons; 3.1 International Comparisons in Water Consumption; 3.2 International Comparisons in Water Consumption Efficiency; 4 Conclusion; Acknowledgements; References; 6 Dynamic Water Environmental Capacity Calculations of Rivers Based on Hydrological Processes; Abstract; 1 Introduction; 2 Methods; 2.1 Study Area
  • 2.2 Framework and Methodology3 Data Preparation; 4 Results and Discussion; 4.1 Calibration, Validation, and Simulation of the SWAT Model; 4.2 Fitting the Results of the Discharge and Velocity; 4.3 Dynamic Calculation Result of the WEC; 5 Conclusions; Acknowledgements; References; 7 Hourly Campus Water Demand Forecasting Using a Hybrid EEMD-Elman Neural Network Model; Abstract; 1 Introduction; 2 Data Preprocess Based on EEMD; 3 Forecast Model Based on the Improved ENN; 3.1 Elman Neural Network; 3.2 Improved ENN Based on Phase Space Reconstruction; 4 EEMD-Improved ENN; 5 Simulation
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