scholarly journals Analysis and Projection of Flood Hazards over China

Water ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 1022 ◽  
Author(s):  
Yulian Liang ◽  
Yongli Wang ◽  
Yinjun Zhao ◽  
Yuan Lu ◽  
Xiaoying Liu
Keyword(s):  
21St Century ◽  
Flood Control ◽  
Climate Model ◽  
Southern China ◽  
Flood Hazard ◽  
Global Climate ◽  
Global Climate Model ◽  
Flood Hazards ◽  
Rcp Scenarios ◽  
Meteorological Observations

Floods have been experienced with greater frequency and more severity under global climate change. To understand the flood hazard and its variation in the future, the current and future flood hazards in the 21st century in China are discussed. Floods and their trends are assessed using the accumulation precipitation during heavy rainfall process (AP_HRP), which are calculated based on historical meteorological observations and the outputs of a global climate model (GCM) under three Representative Concentration Pathway (RCP) scenarios. The flood-causing HRPs counted by the flood-causing critical precipitation (the 60% fractile of AP_HRP) capture more than 70% of historical flood events. The projection results indicate that the flood hazards could increase under RCP4.5 and RCP8.5 and increase slightly under RCP2.6 during the 21st century (2011–2099). The spatial characteristics of flood hazards and their increasing trends under the three RCPs are similar in most areas of China. More floods could occur in southern China, including Guangdong, Hainan, Guangxi and Fujian provinces, which could become more serious in southeastern China and the northern Yunnan province. Construction of water conservancy projects, reservoir dredging, improvement of drainage and irrigation equipment and enhancement of flood control and storage capacity can mitigate the impacts of floods and waterlogging on agriculture.

scholarly journals The Influence of Flow Projection Errors on Flood Hazard Estimates in Future Climate Conditions

Water ◽  
2018 ◽  
Vol 11 (1) ◽  
pp. 49 ◽  
Author(s):  
Joanna Doroszkiewicz ◽  
Renata Romanowicz ◽  
Adam Kiczko
Keyword(s):  
Climate Model ◽  
Flood Hazard ◽  
Global Climate ◽  
Global Climate Model ◽  
Future Climate ◽  
Climate Projections ◽  
Flood Hazards ◽  
Catchment Scale ◽  
Flow Routing ◽  
The Impact

The continuous simulation approach to assessing the impact of climate change on future flood hazards consists of a chain of consecutive actions, starting from the choice of the global climate model (GCM) driven by an assumed CO2 emission scenario, through the downscaling of climatic forcing to a catchment scale, an estimation of flow using a hydrological model, and subsequent derivation of flood hazard maps with the help of a flow routing model. The procedure has been applied to the Biala Tarnowska catchment, Southern Poland. Future climate projections of rainfall and temperature are used as inputs to the precipitation-runoff model simulating flow in part of the catchment upstream of a modeled river reach. An application of a lumped-parameter emulator instead of a distributed flow routing model, MIKE11, substantially lowers the required computation times. A comparison of maximum inundation maps derived using both the flow routing model, MIKE11, and its lump-parameter emulator shows very small differences, which supports the feasibility of the approach. The relationship derived between maximum annual inundation areas and the upstream flow of the study can be used to assess the floodplain extent response to future climate changes. The analysis shows the large influence of the one-grid-storm error in climate projections on the return period of annual maximum inundation areas and their uncertainty bounds.

scholarly journals Global change in flood and drought intensities under climate change in the 21<sup>st</sup> century

2017 ◽  
Author(s):  
Behzad Asadieh ◽  
Nir Y. Krakauer
Keyword(s):  
21St Century ◽  
Climate Model ◽  
Hydrological Cycle ◽  
Global Climate ◽  
Global Climate Model ◽  
The Arctic ◽  
Simultaneous Increase ◽  
Drought Intensity ◽  
Global Land ◽  
Streamflow Extremes

Abstract. Global warming is expected to intensify the Earth’s hydrological cycle and increase flood and drought risks. Changes in global high and low streamflow extremes over the 21st century under two warming scenarios are analyzed as indicators of hydrologic flood and drought intensity, using an ensemble of bias-corrected global climate model (GCM) fields fed into different global hydrological models (GHMs). Based on multi-model mean, approximately 37 % and 43 % of global land areas are exposed to increases in flood and drought intensities, respectively, by the end of the 21st century under RCP8.5 scenario. The average rates of increase in flood and drought intensities in those areas are projected to be 24.5 % and 51.5 %, respectively. Nearly 10 % of the global land areas are under the potential risk of simultaneous increase in both flood and drought intensities, with average rates of 10.1 % and 19.8 %, respectively; further, these regions tend to be highly populated parts of the globe, currently holding around 30 % of the world’s population (over 2.1 billion people). In a world more than 4 degrees warmer by the end of the 21st century compared to the pre-industrial era (RCP8.5 scenario), increases in flood and drought intensities are projected to be nearly twice as large as in a 2 degree warmer world (RCP2.6 scenario). Results also show that GHMs contribute to more uncertainties in streamflow changes than the GCMs. Under both forcing scenarios, there is high model agreement for significant increases in streamflow of the regions near and above the Arctic Circle, and consequent increases in the freshwater inflow to the Arctic Ocean, while subtropical arid areas experience reduction in streamflow.

scholarly journals Projecting flood hazard under climate change: an alternative approach to model chains

2013 ◽  
Vol 1 (6) ◽  
pp. 7357-7385 ◽  
Author(s):  
J. M. Delgado ◽  
B. Merz ◽  
H. Apel
Keyword(s):  
Climate Change ◽  
Climate Models ◽  
Climate Model ◽  
Emission Scenario ◽  
Flood Hazard ◽  
Global Climate ◽  
Global Climate Model ◽  
Flood Frequency ◽  
Frequency Model ◽  
Alternative Approach

Abstract. Flood hazard projections under climate change are typically derived by applying model chains consisting of the following elements: "emission scenario – global climate model – downscaling, possibly including bias correction – hydrological model – flood frequency analysis". To date, this approach yields very uncertain results, due to the difficulties of global and regional climate models to represent precipitation. The implementation of such model chains requires large efforts, and their complexity is high. We propose for the Mekong River an alternative approach which is based on a shortened model chain: "emission scenario – global climate model – non-stationary flood frequency model". The underlying idea is to use a link between the Western Pacific monsoon and local flood characteristics: the variance of the monsoon drives a nonstationary flood frequency model, yielding a direct estimate of flood probabilities. This approach bypasses the uncertain precipitation, since the monsoon variance is derived from large-scale wind fields which are better represented by climate models. The simplicity of the monsoon-flood link allows deriving large ensembles of flood projections under climate change. We conclude that this is a worthwhile, complementary approach to the typical model chains in catchments where a substantial link between climate and floods is found.

scholarly journals Projecting flood hazard under climate change: an alternative approach to model chains

2014 ◽  
Vol 14 (6) ◽  
pp. 1579-1589 ◽  
Author(s):  
J. M. Delgado ◽  
B. Merz ◽  
H. Apel
Keyword(s):  
Climate Change ◽  
Climate Models ◽  
Climate Model ◽  
Emission Scenario ◽  
Flood Hazard ◽  
Global Climate ◽  
Global Climate Model ◽  
Flood Frequency ◽  
Frequency Model ◽  
Alternative Approach

Abstract. Flood hazard projections under climate change are typically derived by applying model chains consisting of the following elements: "emission scenario – global climate model – downscaling, possibly including bias correction – hydrological model – flood frequency analysis". To date, this approach yields very uncertain results, due to the difficulties of global and regional climate models to represent precipitation. The implementation of such model chains requires major efforts, and their complexity is high. We propose for the Mekong River an alternative approach which is based on a shortened model chain: "emission scenario – global climate model – non-stationary flood frequency model". The underlying idea is to use a link between the Western Pacific monsoon and local flood characteristics: the variance of the monsoon drives a non-stationary flood frequency model, yielding a direct estimate of flood probabilities. This approach bypasses the uncertain precipitation, since the monsoon variance is derived from large-scale wind fields which are better represented by climate models. The simplicity of the monsoon–flood link allows deriving large ensembles of flood projections under climate change. We conclude that this is a worthwhile, complementary approach to the typical model chains in catchments where a substantial link between climate and floods is found.

scholarly journals Will climate change drive 21st century burn rates in Canadian boreal forest outside of its natural variability: collating global climate model experiments with sedimentary charcoal data

2010 ◽  
Vol 19 (8) ◽  
pp. 1127 ◽  
Author(s):  
Yves Bergeron ◽  
Dominic Cyr ◽  
Martin P. Girardin ◽  
Christopher Carcaillet
Keyword(s):  
Climate Change ◽  
Boreal Forest ◽  
21St Century ◽  
Forest Fires ◽  
Climate Model ◽  
Global Climate ◽  
Global Climate Model ◽  
Model Experiments ◽  
Clear Cutting ◽  
Canadian Boreal Forest

Natural ecosystems have developed within ranges of conditions that can serve as references for setting conservation targets or assessing the current ecological integrity of managed ecosystems. Because of their climate determinism, forest fires are likely to have consequences that could exacerbate biophysical and socioeconomical vulnerabilities in the context of climate change. We evaluated future trends in fire activity under climate change in the eastern Canadian boreal forest and investigated whether these changes were included in the variability observed during the last 7000 years from sedimentary charcoal records from three lakes. Prediction of future annual area burned was made using simulated Monthly Drought Code data collected from an ensemble of 19 global climate model experiments. The increase in burn rate that is predicted for the end of the 21st century (0.45% year–1 with 95% confidence interval (0.32, 0.59) falls well within the long‐term past variability (0.37 to 0.90% year–1). Although our results suggest that the predicted change in burn rates per se will not move this ecosystem to new conditions, the effects of increasing fire incidence cumulated with current rates of clear‐cutting or other low‐retention types of harvesting, which still prevail in this region, remain preoccupying.

scholarly journals Determining Optimal Location for Mangrove Planting Using Remote Sensing and Climate Model Projection in Southeast Asia

2020 ◽  
Vol 12 (22) ◽  
pp. 3734
Author(s):  
Luri Nurlaila Syahid ◽  
Anjar Dimara Sakti ◽  
Riantini Virtriana ◽  
Ketut Wikantika ◽  
Wiwin Windupranata ◽  
...  
Keyword(s):  
Southeast Asia ◽  
Climate Model ◽  
Global Climate ◽  
Global Climate Model ◽  
Land Suitability ◽  
Wilcoxon Test ◽  
Mangrove Forests ◽  
Suitability Analysis ◽  
Rcp Scenarios ◽  
Mangrove Planting

The decreasing area of mangroves is an ongoing problem since, between 1980 and 2005, one-third of the world’s mangroves were lost. Rehabilitation and restoration strategies are required to address this situation. However, mangroves do not always respond well to these strategies and have high mortality due to several growth limiting parameters. This study developed a land suitability map for new mangrove plantations in different Southeast Asian countries for both current and future climates at a 250-m resolution. Hydrodynamic, geomorphological, climatic, and socio-economic parameters and three representative concentration pathway (RCP) scenarios (RCP 2.6, 4.5, and 8.5) for 2050 and 2070 with two global climate model datasets (the Centre National de Recherches Météorologiques Climate model version 5 [CNRM-CM5.1] and the Model for Interdisciplinary Research on Climate [MIROC5]) were used to predict suitable areas for mangrove planting. An analytical hierarchy process (AHP) was used to determine the level of importance for each parameter. To test the accuracy of the results, the mangrove land suitability analysis were further compared using different weights in every parameter. The sensitivity test using the Wilcoxon test was also carried out to test which variables had changed with the first weight and the AHP weight. The land suitability products from this study were compared with those from previous studies. The differences in land suitability for each country in Southeast Asia in 2050 and 2070 to analyze the differences in each RCP scenario and their effects on the mangrove land suitability were also assessed. Currently, there is 398,000 ha of potentially suitable land for mangrove planting in Southeast Asia, and this study shows that it will increase between now and 2070. Indonesia account for 67.34% of the total land area in the “very suitable” and “suitable” class categories. The RCP 8.5 scenario in 2070, with both the MIROC5 and CNRM-CM5.1 models, resulted in the largest area of a “very suitable” class category for mangrove planting. This study provides information for the migration of mangrove forests to the land, alleviating many drawbacks, especially for ecosystems.

scholarly journals Global change in streamflow extremes under climate change over the 21st century

2017 ◽  
Vol 21 (11) ◽  
pp. 5863-5874 ◽  
Author(s):  
Behzad Asadieh ◽  
Nir Y. Krakauer
Keyword(s):  
Climate Change ◽  
21St Century ◽  
Climate Model ◽  
Hydrological Cycle ◽  
Global Climate ◽  
Global Climate Model ◽  
The Arctic ◽  
Average Decrease ◽  
Global Land ◽  
Streamflow Extremes

Abstract. Global warming is expected to intensify the Earth's hydrological cycle and increase flood and drought risks. Changes over the 21st century under two warming scenarios in different percentiles of the probability distribution of streamflow, and particularly of high and low streamflow extremes (95th and 5th percentiles), are analyzed using an ensemble of bias-corrected global climate model (GCM) fields fed into different global hydrological models (GHMs) provided by the Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP) to understand the changes in streamflow distribution and simultaneous vulnerability to different types of hydrological risk in different regions. In the multi-model mean under the Representative Concentration Pathway 8.5 (RCP8.5) scenario, 37 % of global land areas experience an increase in magnitude of extremely high streamflow (with an average increase of 24.5 %), potentially increasing the chance of flooding in those regions. On the other hand, 43 % of global land areas show a decrease in the magnitude of extremely low streamflow (average decrease of 51.5 %), potentially increasing the chance of drought in those regions. About 10 % of the global land area is projected to face simultaneously increasing high extreme streamflow and decreasing low extreme streamflow, reflecting the potentially worsening hazard of both flood and drought; further, these regions tend to be highly populated parts of the globe, currently holding around 30 % of the world's population (over 2.1 billion people). In a world more than 4° warmer by the end of the 21st century compared to the pre-industrial era (RCP8.5 scenario), changes in magnitude of streamflow extremes are projected to be about twice as large as in a 2° warmer world (RCP2.6 scenario). Results also show that inter-GHM uncertainty in streamflow changes, due to representation of terrestrial hydrology, is greater than the inter-GCM uncertainty due to simulation of climate change. Under both forcing scenarios, there is high model agreement for increases in streamflow of the regions near and above the Arctic Circle, and consequent increases in the freshwater inflow to the Arctic Ocean, while subtropical arid areas experience a reduction in streamflow.

Forecast changes for heat and cold stress in Warsaw in the 21st century, and their possible influence on mortality risk

2013 ◽  
Vol 20 (1) ◽  
Author(s):  
Krzysztof Błażejczyk ◽  
Danuta Idzikowska ◽  
Anna Błażejczyk
Keyword(s):  
Cold Stress ◽  
21St Century ◽  
Mortality Risk ◽  
Climate Model ◽  
Global Climate ◽  
Meteorological Data ◽  
Global Climate Model ◽  
Regional Climate ◽  
Epidemiological Data ◽  
Heat And Cold Stress

AbstractThis paper presents the results of research dealing with forecast changes in the frequency of occurrence of heat and cold stress in Warsaw (Poland) in the years 2001-2100, and the possible influence these may exert on mortality risk. Heat and cold stress were assessed by reference to the U niversal T hermal C limate I ndex (UTC I), for which values were calculated using meteorological data derived from the MPI-M-RE MO regional climate model, at a with spatial resolution of 25 × 25 km. The simulations used boundary conditions from the EC HAMP5 Global Climate Model, for SRES scenario A1B. Predictions of mortality rate were in turn based on experimental epidemiological data from the period 1993-2002. Medical data consist of daily numbers of deaths within the age category above 64 years (TM64+). It proved possible to observe a statistically significant relationship between UTC I and mortality rates, this serving as a basis for predicting possible changes in mortality in the 21st century due to changing conditions as regards heat and cold stress.

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