scholarly journals Hydrological impact assessment on permeable road pavement with subsurface precast micro‐detention pond

2020 ◽  
Vol 34 (S1) ◽  
pp. 960-969
Author(s):  
Norazlina Bateni ◽  
Sai Hin Lai ◽  
Frederik Josep Putuhena ◽  
Darrien Yau Seng Mah ◽  
Md Abdul Mannan ◽  
...  
Keyword(s):  
Impact Assessment ◽  
Road Pavement ◽  
Hydrological Impact ◽  
Detention Pond

A frequency-domain nonstationary multi-site rainfall generator for use in hydrological impact assessment

2020 ◽  
Vol 585 ◽  
pp. 124770
Author(s):  
Lingfeng Zhou ◽  
Yaobin Meng ◽  
Chao Lu ◽  
Shuiqing Yin ◽  
Dandan Ren
Keyword(s):  
Impact Assessment ◽  
Frequency Domain ◽  
Hydrological Impact

The hydrological impact assessment in the decision support of nuclear emergency response

2010 ◽  
Vol 140 (2) ◽  
pp. 191-201 ◽  
Author(s):  
D. V. Vamanu ◽  
D. S. Slavnicu ◽  
D. Gheorghiu ◽  
V. T. Acasandrei ◽  
E. Slavnicu
Keyword(s):  
Decision Support ◽  
Impact Assessment ◽  
Emergency Response ◽  
Hydrological Impact ◽  
Nuclear Emergency

Hydrological impact assessment of afforestation and change in tree-species composition – A regional case study for the Federal State of Brandenburg (Germany)

2007 ◽  
Vol 346 (1-2) ◽  
pp. 1-17 ◽  
Author(s):  
Martin Wattenbach ◽  
Marc Zebisch ◽  
Fred Hattermann ◽  
Pia Gottschalk ◽  
Horst Goemann ◽  
...  
Keyword(s):  
Species Composition ◽  
Impact Assessment ◽  
Tree Species ◽  
Federal State ◽  
Tree Species Composition ◽  
Hydrological Impact

scholarly journals Analysis of spatio-temporal land cover changes for hydrological impact assessment within the Nyando River Basin of Kenya

2010 ◽  
Vol 179 (1-4) ◽  
pp. 389-401 ◽  
Author(s):  
Luke Omondi Olang ◽  
Peter Kundu ◽  
Thomas Bauer ◽  
Josef Fürst
Keyword(s):  
Land Cover ◽  
Impact Assessment ◽  
River Basin ◽  
Land Cover Changes ◽  
Hydrological Impact ◽  
Spatio Temporal

scholarly journals Hydrological Impact Assessment of Climate Change on Lake Tana’s Water Balance, Ethiopia

2016 ◽  
Vol 05 (01) ◽  
pp. 27-37 ◽  
Author(s):  
Zemede Mulushewa Nigatu ◽  
Tom Rientjes ◽  
Alemseged Tamiru Haile
Keyword(s):  
Climate Change ◽  
Water Balance ◽  
Impact Assessment ◽  
Hydrological Impact

Comparison of univariate and multivariate bias-adjusting methods for hydrological impact assessment under climate change conditions

2020 ◽  
Author(s):  
Jorn Van de Velde ◽  
Bernard De Baets ◽  
Matthias Demuzere ◽  
Niko Verhoest
Keyword(s):  
Climate Change ◽  
Impact Assessment ◽  
Climate Model ◽  
Temporal Structure ◽  
Regional Climate ◽  
Multivariate Methods ◽  
Rainfall Runoff ◽  
Early 21St Century ◽  
Hydrological Impact ◽  
Input Variables

<p>Climate change is one of the largest challenges currently faced by society, with an impact on many systems, such as hydrology. To locally assess this impact, Regional Climate Model (RCM) data are often used as an input for hydrological rainfall-runoff models. However, RCMs are still biased in comparison with the observations. Many methods have been developed to adjust this, but only during the last few years, methods to adjust biases in the variable correlation have become available. This is especially important for hydrological impact assessment, as the hydrological models often need multiple locally correct input variables. In contrast to univariate bias-adjusting methods, the multivariate methods have not yet been thoroughly compared. In this study, two univariate and three multivariate bias-adjusting methods are compared with respect to their performance under climate change conditions. To do this, the methods are calibrated in the late 20<sup>th</sup> century (1970-1989) and validated in the early 21st century (1998-2017), in which the effect of climate change is already visible. The variables adjusted are precipitation, evaporation and temperature, of which the resulting evaporation and precipitation are used as an input for a rainfall-runoff model, to allow for the validation of the methods on discharge. The methods are also evaluated using indices based on the calibrated variables, the temporal structure, and the multivariate correlation. For precipitation, all methods decrease the bias in a comparable manner. However, for many other indices the results differ considerable between the bias-adjusting methods. The multivariate methods often perform worse than the univariate methods, a result that is especially pronounced for temperature and evaporation.</p>

scholarly journals Comparison of Life-Cycle Assessment Tools for Road Pavement Infrastructure

2017 ◽  
Vol 2646 (1) ◽  
pp. 28-38 ◽  
Author(s):  
João Miguel Oliveira dos Santos ◽  
Senthilmurugan Thyagarajan ◽  
Elisabeth Keijzer ◽  
Rocío Fernández Flores ◽  
Gerardo Flintsch
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Impact Assessment ◽  
International Standards ◽  
Assessment Tools ◽  
Negative Effects ◽  
Road Pavement ◽  
Life Cycle Stages ◽  
Project Construction ◽  
The Impact

Road pavements have considerable environmental burdens associated with their initial construction, maintenance, and usage, which have led the pavement stakeholder community to join efforts to understand and mitigate these negative effects better. Life-cycle assessment (LCA) is a versatile methodology for quantifying the effect of decisions regarding the selection of resources and processes. However, there is a considerable variety of tools for conducting pavement LCA. This paper provides the pavement stakeholder community with insights into the potential differences in the life-cycle impact assessment results of a pavement by applying American and European LCA tools, namely, PaLATE Version 2.2, the Virginia Tech Transportation Institute–University of California asphalt pavement LCA model, GaBi, DuboCalc, and ECORCE-M, to a Spanish pavement reconstruction project. Construction and maintenance life-cycle stages were considered in the comparison. On the basis of the impact assessment methods adopted by the various tools, the following indicators and impact categories were analyzed: energy consumption, climate change, acidification, eutrophication, and photochemical ozone creation. The results of the case study showed the need to develop ( a) a standardized framework for performing a road pavement LCA that can be adapted to various tools and ( b) local databases of materials and processes that follow national and international standards.

Hydrologic projections for Australia: understanding future changes to water availability and extremes

2021 ◽  
Author(s):  
Ulrike Bende-Michl ◽  
Wendy Sharples ◽  
Chantal Donnelly ◽  
Elisabeth Vogel ◽  
Justin Peter ◽  
...  
Keyword(s):  
Impact Assessment ◽  
Water Availability ◽  
Bias Correction ◽  
Temporal Scales ◽  
Australian Water ◽  
Spatial And Temporal Scales ◽  
Landscape Water ◽  
Hydrological Impact ◽  
Regional Downscaling ◽  
The Impact

<p>Australia's large natural hydro-climatic variability has already seen many changes, such as declining rainfall in the southern part of the country. Understanding these shifts and associated impacts on water availability is an important issue for Australia, as water supply is dependent on the generation of surface water resources. Sustainable future urban and agriculture developments will depend on best available knowledge about the risks and vulnerabilities of future water availability.</p><p>To understand those risks and vulnerabilities and to mitigate the impact of a changing climate, Australia's water policy, management and infrastructure decision making needs detailed high-resolution climate and water information. This includes information on multi-decadal timescales from future projections in the context of past climate variabilities. In Australia, currently, hydrologic change information exists in various forms, ranging from multiple regional downscaling efforts, bias-correction methods and different interpretation methods for hydrologic impact assessment – all limiting a national, consistent impact assessment across multiple spatial and temporal scales. These regional downscaling and hydrological impact data collections are either not application-ready or are tailored for specific purposes only, which poses additional barriers to their use across the water and other sectors.</p><p>To overcome these barriers, the Bureau of Meteorology is soon to release a seamless national landscape water service known as the Australian Water Outlook (AWO), combining historical data on water availability with forecast products, as well as hydrological impact projections. This system's core is the Australian Landscape Water Balance model (AWRA-L) modelling hydrologic variables consistently across a large range of spatial and temporal scales. The AWRA-L model is underpinned by substantial scientific development including data assimilation approaches for model calibration as well as model evaluation approaches for past and present time scales. Additionally, consistent downscaling and bias-correction approaches are integrated for the hydrologic projections in the operational framework.</p><p>This presentation will share an overview of the soon to be released Australian Water Outlook seamless service with an emphasis on the Hydrologic Projections part: the methodology, the user centred-design, as well as the development of guidance material containing confidence statements and uncertainty assessments to help decision makers in understanding the service. The presentation will also provide an overview of the tactics we applied to ensure the applicability of the new service including demonstration cases developed in partnership with users.</p>

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