scholarly journals Study on the waterlogging operation effects of InfoWorks ICM dispatching strategies

2021 ◽  
Vol 228 ◽  
pp. 01009
Author(s):  
Hui Yang ◽  
Xin Tong ◽  
Defei Gou
Keyword(s):  
River Basin ◽  
Test Section ◽  
Research Study ◽  
Northern China ◽  
Tunnel Construction ◽  
Deep Tunnel ◽  
Two Dimensional ◽  
Control Effect ◽  
Recurrence Period ◽  
Infoworks Icm

In this paper, we select the H river basin of a city in northern China as the test section of deep tunnel construction project and use InfoWorks ICM to establish a two-dimensional hydraulic model in the basin. The basin is divided into 9 subsystems from T1 to T9 for ease of research, study the waterlogging control effect of the optimal dispatching operation strategies of deep tunnel in the basin.The results show that the waterlogging control effect meets the construction target of deep tunnel project, after the drainage of deep tunnel, the rainfall recurrence period of waterlogging risk of each subsystem is increased from more than once every year to once every ten years.

Assessing water resources carrying capacity based on integrated system dynamics modeling in a semiarid river basin of northern China

2014 ◽  
Vol 14 (6) ◽  
pp. 1057-1066 ◽  
Author(s):  
Ying Xie ◽  
Xuyong Li ◽  
Chunsheng Yang ◽  
Yang Yu
Keyword(s):  
Economic Growth ◽  
System Dynamics ◽  
River Basin ◽  
Carrying Capacity ◽  
Northern China ◽  
Water Shortage ◽  
Integrated System ◽  
Dynamics Modeling ◽  
Water Resources Carrying Capacity ◽  
Optimized Allocation

Water shortage is a major problem in northern China, because of a huge population and rapid economic growth. Taking the Luanhe River Basin (LRB) as a study area, we set up a System Dynamics (SD) model of the basin for the period 2005–2010, and considered various important socioeconomic and environmental factors and their correlation. Significant trends for the period 2011–2030 were simulated and the water resource carrying capacity (WRCC) of the LRB and its trends over the next 30 years were analyzed. The results indicate a decreasing trend of WRCC in the basin and that current economic growth is not sustainable. The study investigated possible optimized allocation projects. The most apt project would involve a combination of strategies that could considerably increase the WRCC, reduce demand, and improve water quality.

scholarly journals Fuzzy risk assessment of a deeply buried tunnel under incomplete information

2018 ◽  
Vol 5 (10) ◽  
pp. 180305 ◽  
Author(s):  
Yuanpu Xia ◽  
Ziming Xiong ◽  
Hao Lu ◽  
Zhu Wen ◽  
Chao Ma
Keyword(s):  
Risk Assessment ◽  
Similarity Measure ◽  
Fuzzy Set ◽  
Risk Control ◽  
Assessment Model ◽  
Design Stage ◽  
Tunnel Construction ◽  
Risk Assessment Model ◽  
Control Effect ◽  
Fuzzy Risk Assessment

Risk assessment has always been an important part of safety risk research in tunnel and underground engineering. Owing to the characteristics of tunnel construction, to achieve an expected risk control effect, it is necessary to carry out accurate risk assessment research according to the risk assessment concept based on the entire tunnel construction process. At present, because of the frequent occurrences of safety accidents, a variety of risk assessment models have been proposed for different tunnel projects such as subways and railway tunnels, which can be roughly classified into two types: probability-based and fuzzy set theories. However, the existing models may be more suitable for the construction stage, and the design stage lacks a reliable and practical fuzzy risk assessment method. Therefore, based on fuzzy set theory and similarity measure theory, a risk assessment model is proposed to adapt to the characteristics that the risk information is difficult to quantify the fuzziness in the design phase. Firstly, new ideas of fuzzy risk analysis are proposed to overcome deficiencies in existing methods; secondly, a new similarity measure is constructed; then fusing multi-source fuzzy information based on evidence theory, the relationship between similarity measure and mass function is established. Finally, the new method is applied to the Yuelongmen tunnel. Results show that the concept of risk control and the risk assessment model are feasible.

scholarly journals The Assessment of Climate Change and Land-Use Influences on the Runoff of a Typical Coastal Basin in Northern China

2020 ◽  
Vol 12 (23) ◽  
pp. 10050 ◽  
Author(s):  
Junfang Liu ◽  
Baolin Xue ◽  
Yuhui Yan
Keyword(s):  
Climate Change ◽  
Land Use ◽  
River Basin ◽  
Swat Model ◽  
Arable Land ◽  
Resource Planning ◽  
Northern China ◽  
Combine Data ◽  
Runoff Change ◽  
Verification Period

Land use and climate change are the two major driving factors of watershed runoff change, and it is of great significance to study the influence of watershed hydrological processes on water resource planning and management. This study takes the Changyang River basin as the study area, builds a SWAT model and explores the applicability of the SWAT model in the basin. Moreover, we combine data on land use and climate change in different periods to construct a variety of scenario models to quantitatively analyze the impacts of different scenarios on runoff. The results show that the R2 and Ensof the model are 0.71 and 0.68 in the calibration period, respectively, and those in the verification period are 0.68 and 0.65, respectively, indicating that the SWAT model has good applicability in simulating the runoff of the Changyang River basin. Under the comprehensive scenario of land use and climate change on runoff, we found that land use and climate change have a certain contribution to the change in runoff. Therefore, the runoff of the basin increased by 0.22 m3/s, in which land-use change caused the runoff in the basin to increase by 0.07 m3/s attributed to the decreased area of arable land and the increased area of urban land in the basin. Moreover, climate change has caused the runoff in the basin to increase by 0.13 m3/s, mainly influenced by the increased precipitation. The results show that climate change has a more significant effect on runoff in the basin.

scholarly journals Attribution Analysis of Hydrological Drought Risk Under Climate Change and Human Activities: A Case Study on Kuye River Basin in China

Water ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 1958 ◽  
Author(s):  
Zhang ◽  
Wang ◽  
Zhou
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Human Activities ◽  
Large Scale ◽  
Research Area ◽  
Drought Severity ◽  
Drought Risk ◽  
Drought Duration ◽  
Recurrence Period ◽  
The Impact

This study conducted quantitative diagnosis on the impact of climate change and human activities on drought risk. Taking the Kuye river basin (KRB) in China as the research area, we used variation point diagnosis, simulation of precipitation and runoff, drought risk assessment, and attribution quantification. The results show that: (1) the annual runoff sequence of KRB changed significantly after 1979, which was consistent with the introduction of large-scale coal mining; (2) under the same drought recurrence period, the drought duration and severity in the human activity stage were significantly worse than in the natural and simulation stages, indicating that human activities changed the drought risk in this area; and (3) human activities had little impact on drought severity in the short duration and low recurrence period, but had a greater impact in the long duration and high recurrence period. These results provide scientific guidance for the management, prevention, and resistance of drought; and guarantee sustainable economic and social development in the KRB.

scholarly journals Hydroclimatic Extremes in the Limpopo River Basin, South Africa, under Changing Climate

Water ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3299
Author(s):  
Christina M. Botai ◽  
Joel O. Botai ◽  
Nosipho N. Zwane ◽  
Patrick Hayombe ◽  
Eric K. Wamiti ◽  
...  
Keyword(s):  
South Africa ◽  
River Basin ◽  
Climate Models ◽  
Research Study ◽  
Global Climate ◽  
Regional Climate ◽  
Coupled Model ◽  
Global Climate Models ◽  
Trend Test ◽  
Changing Climate

This research study evaluated the projected future climate and anticipated impacts on water-linked sectors on the transboundary Limpopo River Basin (LRB) with a focus on South Africa. Streamflow was simulated from two CORDEX-Africa regional climate models (RCMs) forced by the 5th phase of the Coupled Model Inter-Comparison Project (CMIP5) Global Climate Models (GCMs), namely, the CanESM2m and IPSL-CM5A-MR climate models. Three climate projection time intervals were considered spanning from 2006 to 2099 and delineated as follows: current climatology (2006–2035), near future (2036–2065) and end of century future projection (2070–2099). Statistical metrics derived from the projected streamflow were used to assess the impacts of the changing climate on water-linked sectors. These metrics included streamflow trends, low and high flow quantile probabilities, the Standardized Streamflow Index (SSI) trends and the proportion (%) of dry and wet years, as well as drought monitoring indicators. Based on the Mann-Kendall (MK) trend test, the LRB is projected to experience reduced streamflow in both the near and the distant future. The basin is projected to experience frequent dry and wet conditions that can translate to drought and flash floods, respectively. In particular, a high proportion of dry and a few incidences of wet years are expected in the basin in the future. In general, the findings of this research study will inform and enhance climate change adaptation and mitigation policy decisions and implementation thereof, to sustain the livelihoods of vulnerable communities.

The Design and Optimization of Fuzzy Controller Based on Vibrating Mill Granularity

2012 ◽  
Vol 232 ◽  
pp. 635-638
Author(s):  
Jin Hua Zhang
Keyword(s):  
Genetic Algorithm ◽  
Main Parameter ◽  
Fuzzy Controller ◽  
Two Dimensional ◽  
Control Effect ◽  
Design And Optimization ◽  
Learning Function ◽  
Designing Method ◽  
Vibration Mill

Granularity is the main parameter of evaluating materials, from the analysis of powder producing system that made of vibration mill, the material’s size can be controlled through controlling the speed of motor. Focus on the complex nonlinear in the processing of ground breaking, the two dimensional controller is designed. Due to the subjectivity and randomness in the designing method of classic fuzzy controller, so genetic algorithm is used to put fuzzy controller some learning function in order to obtain better control effect of the system.

Sign in / Sign up

Export Citation Format

Share Document