A catchment to coast framework for the evolution of a coastal mangove wetland

2020 ◽  
Author(s):  
Jose Rodriguez ◽  
Eliana Jorquera ◽  
Patricia Saco ◽  
Angelo Breda
Keyword(s):  
Land Use ◽  
Coastal Wetlands ◽  
Land Use Changes ◽  
Storm Events ◽  
Sea Levels ◽  
Future Evolution ◽  
Modelling Framework ◽  
Sea Level Variations ◽  
Wetland Evolution ◽  
Catchment Model

<p>Coastal wetlands are at the interface between land and sea, receiving water, sediment and nutrients from upstream catchments and also being subject to tides, wave and changing sea levels. Analysis of their future evolution requires the analysis of the entire catchment to coast system, including the effects of climate variability and change and land use changes. We have developed a modelling framework that is able to include both catchment and coastal processes into the evolution of coastal wetlands by coupling an ecogeomorphological wetland evolution model with a hydrosedimentological catchment model to include both tidal and catchment runoff inputs. We drive the model with storm events and sea-level variations and analyse scenarios of future climate and land use for a catchment in Vanua Levu, Fiji that includes a mangrove wetland at the catchment outlet. We inform our model with field, remote sensing and historical data on land use, tides, sediment and nutrient transport and cyclone activity.</p>

scholarly journals A GIS-BASED PROCEDURE FOR MEASURING THE EFECTS OF THE BUILT ENVIRONMENT ON URBAN FLASH FLOODS

2016 ◽  
Vol 11 (3) ◽  
pp. 110-125 ◽  
Author(s):  
Yan Li ◽  
Chunlu Liu
Keyword(s):  
Land Use ◽  
Built Environment ◽  
Urban Areas ◽  
Flood Hazard ◽  
Land Use Changes ◽  
Flash Floods ◽  
Flood Inundation ◽  
Storm Events ◽  
Severe Problem ◽  
The Impact

Urban flooding has been a severe problem for many cities around the world as it remains one of the greatest threats to the property and safety of human communities. In Australia, it is seen as the most expensive natural hazard. However, urban areas that are impervious to rainwater have been sharply increasing owing to booming construction activities and rapid urbanisation. The change in the built environment may cause more frequent and longer duration of flooding in floodprone urban regions. Thus, the flood inundation issue associated with the effects of land uses needs to be explored and developed. This research constructs a framework for modelling urban flood inundation. Different rainfall events are then designed for examining the impact on flash floods generated by land-use changes. Measurement is formulated for changes of topographical features over a real time series. Geographic Information System (GIS) technologies are then utilised to visualise the effects of land-use changes on flood inundation under different types of storms. Based on a community-based case study, the results reveal that the built environment leads to varying degrees of aggravation of urban flash floods with different storm events and a few rainwater storage units may slightly mitigate flooding extents under different storm conditions. Hence, it is recommended that the outcomes of this study could be applied to flood assessment measures for urban development and the attained results could be utilised in government planning to raise awareness of flood hazard.

scholarly journals Modeling the combined impact of future climate and land use changes on streamflow of Xinjiang Basin, China

2015 ◽  
Vol 47 (2) ◽  
pp. 356-372 ◽  
Author(s):  
Renhua Yan ◽  
Jiacong Huang ◽  
Yan Wang ◽  
Junfeng Gao ◽  
Lingyan Qi
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Land Use Planning ◽  
Scientific Information ◽  
Land Use Changes ◽  
Coupled Model ◽  
Climate Scenario ◽  
Future Climate ◽  
Climate Change Scenarios ◽  
Future Evolution

The response of hydrologic circulation to climate and land use changes is important in studying the historical, present, and future evolution of aquatic ecosystems. In this study, the Coupled Model Inter-comparison Project Phase 5 multi-model ensemble and a raster-based Xin'anjiang model were applied to simulate future streamflows under three climate change scenarios and two land use/cover change conditions in the Xinjiang Basin, China, and to investigate the combined effect of future climate and land use/cover changes on streamflow. Simulation results indicated that future climate and land use/cover changes affect not only the seasonal distributions of streamflow, but also the annual amounts of streamflow. For each climate scenario, the average monthly streamflows increase by more than 4% in autumn and early winter, while decreasing by more than −26% in spring and summer for the 21st century. The annual streamflows present a clear decreasing trend of −27%. Compared with land use/cover change, climate change affects streamflow change more. Land use/cover change can mitigate the climate change effect from January to August and enhance it in other months. These results can provide scientific information for regional water resources management and land use planning in the future.

Effects of Land Use Changes on the Ecosystem Service Values of Coastal Wetlands

2014 ◽  
Vol 54 (4) ◽  
pp. 852-864 ◽  
Author(s):  
Vera Camacho-Valdez ◽  
Arturo Ruiz-Luna ◽  
Andrea Ghermandi ◽  
César A. Berlanga-Robles ◽  
Paulo A. L. D. Nunes
Keyword(s):  
Land Use ◽  
Ecosystem Service ◽  
Coastal Wetlands ◽  
Land Use Changes ◽  
Effects Of Land Use

Simulating Land Use Policies Targeted to Protect Biodiversity with the CLUE-Scanner Model

2011 ◽  
pp. 119-132
Author(s):  
Peter H. Verburg ◽  
Jan Peter Lesschen ◽  
Eric Koomen ◽  
Marta Pérez-Soba
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Landscape Connectivity ◽  
Land Use Changes ◽  
Integrated Modelling ◽  
The European Union ◽  
Biodiversity Indicator ◽  
Modelling Framework ◽  
Land Use Change Model ◽  
Critical Regions

This chapter presents an integrated modelling approach for assessing land use changes and its effects on biodiversity. A modelling framework consisting of a macro-economic model, a land use change model, and biodiversity indicator models is described and illustrated with a scenario study for the European Union. A reference scenario is compared to a scenario in which a number of possible policies for conservation and protection of biodiversity are assumed to have been implemented. The results are evaluated by an indicator of the habitat quality for biodiversity and an indicator of landscape connectivity. The results illustrate that land use change has spatially diverse impacts on biodiversity. The effectiveness of the assumed policies is region and context dependent. The modelling framework can thus provide ex-ante assessments of policies and identify critical regions for biodiversity conservation and assist in targeting policies and incentives to protect biodiversity in vulnerable areas.

scholarly journals Detecting land use and climate impacts on water yield ecosystem service in arid and semi-arid areas. A study in Sirvan River Basin-Iran

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Jahanbakhsh Balist ◽  
Bahram Malekmohammadi ◽  
Hamid Reza Jafari ◽  
Ahmad Nohegar ◽  
Davide Geneletti
Keyword(s):  
Land Use ◽  
River Basin ◽  
Ecosystem Service ◽  
Climatic Factors ◽  
Land Use Changes ◽  
Climate Impacts ◽  
Water Yield ◽  
Future Evolution ◽  
The Future ◽  
The Impact

AbstractThis study investigates how land use and climate changes affect water yield ecosystem service (ES) in the Sirvan River basin, located in Iran’s Kurdistan and Kermanshah provinces. By detecting land-use and climatic parameter changes in the past, their future evolution were modeled by scenario making. For this purpose, we developed two land-use scenarios (low and high urbanization) and two climatic scenarios (Representative Concentration Pathway 2.6 and RCP 8.5). The implemented scenarios showed how the amount of water yield in the basin and sub-basins changes in the future based on climate and land-use changes. The results showed that, concerning land use, the forest has decreased from 2013 to 2019, and built-up areas have increased. Also, the results showed that precipitation has been declining in the long term, and the temperature has been rising. Finally, the Water yield in 2019 was higher than in 2013 and lower in the future based on forecast scenarios. This trend will continue until 2040. In addition, it was found that the t effects of these factors on water yield ES are a complex process, and based on the results, the impact of climatic factors is more significant than the one of land-use change. We could conclude that this region will face more environmental problems in the future.

Modeling impacts of climate and land use change on streamflow, nitrate, and ammonium in the Kor River, southwest of Iran

2018 ◽  
Vol 10 (4) ◽  
pp. 818-834 ◽  
Author(s):  
Amir Asadi Vaighan ◽  
Nasser Talebbeydokhti ◽  
Alireza Massah Bavani ◽  
Paul Whitehead
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Land Use Changes ◽  
Climate Change Scenarios ◽  
Future Period ◽  
Intergovernmental Panel ◽  
Assessment Report ◽  
Kor River ◽  
Southwest Of Iran ◽  
Catchment Model

Abstract This study examined the separate and combined impacts of future changes in climate and land use on streamflow, nitrate and ammonium in the Kor River Basin, southwest of Iran, using the representative concentration pathway 2.6 and 8.5 scenarios of the Fifth Assessment Report (AR5) of the Intergovernmental Panel on Climate Change (IPCC). Different land use and climate change scenarios were used and the streamflow, nitrate and ammonium in the future period (2020–2049) under these scenarios were simulated by Integrated Catchment Model for Nitrogen (INCA–N). Results indicated that climate change will increase streamflows and decrease nitrate and ammonium concentrations in summer and autumn. Land use changes were found to have a little impact on streamflows but a significant impact on water quality, particularly under an urban development scenario. Under combined scenarios, larger seasonal changes in streamflows and mixed changes of nitrate and ammonium concentrations were predicted.

Understanding the effects of dynamic sediment inputs on the prediction of coastal wetland evolution

2020 ◽  
Author(s):  
Angelo Breda ◽  
Patricia Saco ◽  
José Rodriguez ◽  
Steven Sandi-Rojas
Keyword(s):  
Coastal Wetlands ◽  
Coastal Wetland ◽  
Sediment Concentration ◽  
Transport Processes ◽  
Water Levels ◽  
Time Varying ◽  
Modelling Framework ◽  
Dynamic Time ◽  
Wetland Evolution ◽  
Different Levels

<p>Over the last two decades, there have been important advances in eco-geomorphological modelling of coastal wetlands to predict their evolution. Different features have been incorporated into models, bust most applications still assume a constant or static sediment concentration as input representing average conditions. Such imposition is related to many constraints in obtaining a time series of total suspended matter (TSM). However, with the increasing availability of multispectral satellite products and the development of artificial intelligence algorithms, TSM data can be estimated through remote sensing. This work aims to assess the effect of using a dynamic time varying condition for the TSM input when simulating eco-geomorphological processes. We implemented a modelling framework adapted to conditions found in SE Australian estuaries, which includes hydrodynamic and sediment transport processes. Many scenarios where simulated encompassing different levels of average TSM and water levels. Our findings suggest that under low water levels and low sediment concentration, a static TSM input results in more accretion than a dynamic input. However, at higher levels and concentration, the dynamic input led to higher accretion. Predictions of vegetation distribution were not particularly sensitive to changes in TSM over time.</p>

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