Integrated assessment and modelling: features, principles and examples for catchment management
By Anthony J. Jakeman, R. Kelly. Environmental Modelling & Software, 2003
454 citations recorded by the source corpus.
Subfields: Environmental Chemistry, Global and Planetary Change, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/a8ca9fc2e882360a2329ad039771a8ff90b3e26c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Environmental Chemistry
- Jens Christian Refsgaard
- J. P. van der Sluijs
- James D. Brown
- P. Keur
- Peter A. Vanrolleghem
- Anker Lajer Højberg
- Frank Ewert
- Jasper A. Vrugt
In Global and Planetary Change
- Jasper A. Vrugt
- Hoshin V. Gupta
- Thorsten Wagener
- Yuqiong Liu
- Patrick M. Reed
- Jens Christian Refsgaard
- J. P. van der Sluijs
- George A. Kuczera
In Water Science and Technology
- Jasper A. Vrugt
- Hoshin V. Gupta
- Thorsten Wagener
- Yuqiong Liu
- M. Clark
- Patrick M. Reed
- Avi Ostfeld
- Holger R. Maier
Citations in the corpus
- Linking science with environmental decision making: Experiences from an integrated modeling approach to supporting sustainable water resources management (2008, background): “…Grumbine, 1994, 1997), the coupled human-environment systems approach (e.g., Turner et al., 2003; Monticino et al., 2007; Yuan et al., 2007), integrated assessment (e.g., Jakeman and Letcher, 2003; Parson, 1995; Matthies et al., 2007), and multi-criteria decision analysis (e.g., Hill et al., 2005).”
- Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions (2014, background): “The observed data required to characterise the above uncertainties are often not available (Jakeman and Letcher, 2003) and hence subjective probabilities are frequently assigned.”
- Environmental Impacts of Infrastructure Development under the Belt and Road Initiative (2019, background): “Most environmental research and policy on development impacts such as mining or dams or regional development is still confined along disciplinary lines and to specific sites, although there is increasingly an emphasis on adopting a systemic perspective [18], taking into account characteristics of co”
- Selecting among five common modelling approaches for integrated environmental assessment and management (2013, background): “Integration, according to Jakeman and Letcher (2003), is a process not just an outcome, and may refer to: i. Integrated treatment of issues e arises because management options for many natural resource problems have impacts on other social, economic and environmental issues.”
- A framework for dealing with uncertainty due to model structure error (2004, methodology): “Assessing the uncertainty of model simulations is important when such models are used to support decisions about water resources [6,33,23,39].”
- Environmental decision support systems: Current issues, methods and tools (2007, background): “This Special Issue presents papers along a continuum between integrated assessment modelling (IAM) (Parker et al., 2002; Jakeman and Letcher, 2003; Letcher et al., 2004) and EDSS.”
- Crop modelling for integrated assessment of risk to food production from climate change (2015, methodology): “Later, integrated assessment modelling (IAM), see definitions in Jakeman and Letcher (2003) and Laniak et al. (2013), increasingly received attention in climate impact research (e.g. Lehtonen et al., 2010; Nelson et al., 2013) with crop models forming an integral part of the modelling chain (Bland,…”
- Integrated environmental modeling: A vision and roadmap for the future (2013, background): “The complex and interrelated nature of real-world problems has led to a need for higher-order systems thinking and holistic solutions (EPA, 2008b; Jakeman and Letcher, 2003; MEA, 2005; Parker et al., 2002).”
- Hydro-economic models: concepts, design, applications, and future prospects. (2009, methodology): “A pragmatic approach reiterated by Jakeman and Letcher (2003) and Cai (2008) is to use sensitivity analysis to reveal parameters or model components with the greatest effect on results.”
- Uncertainty in the environmental modelling process - A framework and guidance (2007, methodology): “Uncertainty assessment of model simulations is therefore important, when models are used to support water management decisions (Beven and Binley, 1992; Beven, 2002; Pahl-Wostl, 2002; Jakeman and Letcher, 2003; Refsgaard and Henriksen, 2004; Pahl-Wostl, 2007; Vandenberghe et al., 2007).”
- Policy and institutional dimensions of the water–energy nexus (2011, background): “As a result, emphasis on the process of stakeholder interaction is a recognized feature of the discipline of integrated assessment (Jakeman and Letcher, 2003) and increasingly a necessary condition for dealing with messy problems, e.g., in water resources management (Jakeman et al., 2008).”