Coupled model constructed to simulate the landslide dam flood discharge: a case study of Baige landslide dam, Jinsha River

2020 ◽  
Vol 14 (1) ◽  
pp. 63-76
Author(s):  
Hongjie Wang ◽  
Yi Zhou ◽  
Shixin Wang ◽  
Futao Wang
Keyword(s):  
Coupled Model ◽  
Landslide Dam ◽  
Jinsha River ◽  
Flood Discharge

The Distribution Regularity of Geohazard in the Dry-Hot Valley of Jinsha River: Case Study in Derong County

2012 ◽  
Vol 518-523 ◽  
pp. 5754-5759
Author(s):  
Dong Jian Xue ◽  
Zheng Wei He ◽  
Xiang Dong Zheng
Keyword(s):  
Economic Development ◽  
Tectonic Activity ◽  
Human Engineering ◽  
Monsoon Climate ◽  
Jinsha River ◽  
Physical Weathering ◽  
Geological Conditions ◽  
Vertical Zone ◽  
Landslide Debris

Derong County is located in Ganzi Tibetan Autonomous Prefecture in southern part of Sichuan Province, in the upper of the Jinsha River, where there is a subtropical plateau monsoon climate, abundant sunshine, and large amount of evaporation, so it is a typical dry-hot valleys region. Derong County is the area of more ups and downs in the terrain, deep valleys, steep mountains, complex geological conditions, intense tectonic activity, various climate types, and has obvious vertical zone effect by temperature, serious physical weathering of rock, and landslide, debris flow, collapse and other geohazards are easily induced under the influence of rainfall and human engineering activities. These geohazards have brought serious harm to the people's lives and property, and have a great impact on the socio-economic development. Through the analysis of geohazards in the study area to investigate its distribution and development trends, this paper provide a basis for geohazard prevention and economic development.

scholarly journals Analysis of urban flood using synthetic unit hydrograph (SUH) and flood mitigation strategies along way Halim River: a case study on Seroja street, Tanjung Senang District

2021 ◽  
Vol 331 ◽  
pp. 07015
Author(s):  
Dian Pratiwi ◽  
Arniza Fitri ◽  
Arlina Phelia ◽  
Nabila Annisa Amara Adma ◽  
Kastamto
Keyword(s):  
Mitigation Strategies ◽  
Flood Mitigation ◽  
Trigger Factor ◽  
Urban Flooding ◽  
Unit Hydrograph ◽  
Urban Flood ◽  
Flood Discharge ◽  
Absorption Area ◽  
Synthetic Unit Hydrograph

In the urban area, flooding becomes the most common disaster that has not been resolved until today. The utilization of river border area into housing and lack of absorption area becomes the trigger factor of urban flooding, as what is happening around Way Halim River on Seroja street. In this area, floods often happen during the rainy season, with the latest events recorded on January 21st, 2021. Analysis of flood intensities and discharges can be parameters for the decision-making of flood mitigation strategies. This study aims to analyze the flood discharges along Way Halim River, Seroja street by comparing the flood discharges resulting from three analysis methods of Synthetic Unit Hydrograph (SUH) including Gama I SUH, Nakayasu SUH, and Snyder SUH. Finally, suitable flood mitigation strategies were also proposed in this study based on the flood discharges and rain intensities. The results showed that Nakayasu SUH had the highest peak flood discharge than Snyder SUH and Gama I SUH. Based on the results of the investigation of land suitability; and analysis of rainfall intensities and flood discharges, the proposed flood mitigation in Seroja street is by installing biopore infiltration holes along Seroja street for storing water and reducing the risk of flooding in the area.

scholarly journals Climatological Drought Forecasting Using Bias Corrected CMIP6 Climate Data: A Case Study for India

Forecasting ◽  
2020 ◽  
Vol 2 (2) ◽  
pp. 59-84 ◽  
Author(s):  
Alen Shrestha ◽  
Md Mafuzur Rahaman ◽  
Ajay Kalra ◽  
Rohit Jogineedi ◽  
Pankaj Maheshwari
Keyword(s):  
Coupled Model ◽  
Severity Index ◽  
Extreme Drought ◽  
Drought Severity ◽  
Climate Data ◽  
Drought Forecasting ◽  
Drought Duration ◽  
Intercomparison Project ◽  
Near Future

This study forecasts and assesses drought situations in various regions of India (the Araveli region, the Bundelkhand region, and the Kansabati river basin) based on seven simulated climates in the near future (2015–2044). The self-calibrating Palmer Drought Severity Index (scPDSI) was used based on its fairness in identifying drought conditions that account for the temperature as well. Gridded temperature and rainfall data of spatial resolution of 1 km were used to bias correct the multi-model ensemble mean of the Global Climatic Models from the Coupled Model Intercomparison Project Phase 6 (CMIP6) project. Equidistant quantile-based mapping was adopted to remove the bias in the rainfall and temperature data, which were corrected on a monthly scale. The outcome of the forecast suggests multiple severe-to-extreme drought events of appreciable durations, mostly after the 2030s, under most climate scenarios in all the three study areas. The severe-to-extreme drought duration was found to last at least 20 to 30 months in the near future in all three study areas. A high-resolution drought index was developed and proven to be a key to assessing the drought situation.

scholarly journals Effect of Climate Change on Maize Yield in the Growing Season: A Case Study of the Songliao Plain Maize Belt

Water ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 2108 ◽  
Author(s):  
Ari Guna ◽  
Jiquan Zhang ◽  
Siqin Tong ◽  
Yongbin Bao ◽  
Aru Han ◽  
...  
Keyword(s):  
Global Warming ◽  
Coupled Model ◽  
Growing Season ◽  
Maize Yield ◽  
Climate Data ◽  
Yield Data ◽  
Increasing Temperature ◽  
Songliao Plain ◽  
The Relationship

Based on the 1965–2017 climate data of 18 meteorological stations in the Songliao Plain maize belt, the Coupled Model Intercomparision Project (CMIP5) data, and the 1998–2017 maize yield data, the drought change characteristics in the study area were analyzed by using the standardized precipitation evapotranspiration index (SPEI) and the Mann–Kendall mutation test; furthermore, the relationship between meteorological factors, drought index, and maize climate yield was determined. Finally, the maize climate yields under 1.5 °C and 2.0 °C global warming scenarios were predicted. The results revealed that: (1) from 1965 to 2017, the study area experienced increasing temperature, decreasing precipitation, and intensifying drought trends; (2) the yield of the study area showed a downward trend from 1998 to 2017. Furthermore, the climate yield was negatively correlated with temperature, positively correlated with precipitation, and positively correlated with SPEI-1 and SPEI-3; and (3) under the 1.5 °C and the 2.0 °C global warming scenarios, the temperature and the precipitation increased in the maize growing season. Furthermore, under the studied global warming scenarios, the yield changes predicted by multiple regression were −7.7% and −15.9%, respectively, and the yield changes predicted by one-variable regression were −12.2% and −21.8%, respectively.

Numerical Modeling of Oil Spill with Tidal and Wind-Driven Coupled Model in Bohai Bay

2013 ◽  
Vol 423-426 ◽  
pp. 1394-1397
Author(s):  
Ming Chang Li ◽  
Guang Yu Zhang ◽  
Qi Si ◽  
Shu Xiu Liang ◽  
Zhao Chen Sun
Keyword(s):  
Numerical Simulation ◽  
Numerical Modeling ◽  
Oil Spill ◽  
Hydrodynamic Model ◽  
Field Data ◽  
Coupled Model ◽  
Bohai Bay ◽  
Trajectory Simulation ◽  
Simulation Results

Based on the hydrodynamic model and wind field data, a multi-module coupled oil spill model is constructed for simulating the trajectory of oil movement. A case study is researched in Bohai Bay. The model works well and the numerical simulation results show the model is suitable for oil spill trajectory simulation. Two cases are considered with and without wind to show its important influence for the oil spill.

A methodology for linking 2D overland flow models with the sewer network model SWMM 5.1 based on dynamic link libraries

2016 ◽  
Vol 73 (12) ◽  
pp. 3017-3026 ◽  
Author(s):  
Jorge Leandro ◽  
Ricardo Martins
Keyword(s):  
Network Model ◽  
Urban Areas ◽  
Overland Flow ◽  
Coupled Model ◽  
Dynamic Link Library ◽  
Urban Flood ◽  
Flow Models ◽  
Sewer Network ◽  
Dynamic Link

Abstract Pluvial flooding in urban areas is characterized by a gradually varying inundation process caused by surcharge of the sewer manholes. Therefore urban flood models need to simulate the interaction between the sewer network and the overland flow in order to accurately predict the flood inundation extents. In this work we present a methodology for linking 2D overland flow models with the storm sewer model SWMM 5. SWMM 5 is a well-known free open-source code originally developed in 1971. The latest major release saw its structure re-written in C ++ allowing it to be compiled as a command line executable or through a series of calls made to function inside a dynamic link library (DLL). The methodology developed herein is written inside the same DLL in C + +, and is able to simulate the bi-directional interaction between both models during simulation. Validation is done in a real case study with an existing urban flood coupled model. The novelty herein is that the new methodology can be added to SWMM without the need for editing SWMM's original code. Furthermore, it is directly applicable to other coupled overland flow models aiming to use SWMM 5 as the sewer network model.

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