ORCID Profile
0000-0001-9216-1554
Current Organisation
Australian National University
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Physical Geography and Environmental Geoscience | Surfacewater Hydrology | Water Resources Engineering | Surfacewater Hydrology | Other Agricultural and Veterinary Sciences | Land Capability And Soil Degradation | Fertilisers And Agrochemicals (Application Etc.) | Applied Hydrology (Drainage, Flooding, Irrigation, Quality, Etc.) | Geomorphology |
Water Allocation and Quantification | Urban and Industrial Water Management | Land and water management | Land and water management | Livestock | Pasture, browse and fodder crops | Land and water management | Integrated (ecosystem) assessment and management | Farmland, Arable Cropland and Permanent Cropland Water Management
Publisher: Elsevier BV
Date: 05-2021
Publisher: Copernicus GmbH
Date: 12-06-2015
DOI: 10.5194/PIAHS-371-29-2015
Abstract: Abstract. This paper explores the variation in hydrological response (often termed as non-stationarity, though this is not necessarily the correct use in the statistical meaning of this term) through time for the Bani catchment in Africa (mostly located in Mali). The objective is to identify deficiencies in the ability of the model to capture the variation in the hydrologic response of the catchment, and modify the model to capture this variation. Due to the large catchment area (approximately 103 000 km2), the unit hydrograph component of the model was modified to permit the model to be used at a daily timescale. Further, an additional driver (population growth) needed to be included in order to adequately capture the transition from a perennial to an ephemeral river.
Publisher: Informa UK Limited
Date: 11-02-2021
Publisher: Springer Science and Business Media LLC
Date: 17-01-2012
Publisher: Elsevier BV
Date: 2004
Publisher: Elsevier BV
Date: 04-2017
Publisher: Elsevier BV
Date: 02-2009
Publisher: Wiley
Date: 11-2021
DOI: 10.1002/JLS.21786
Abstract: India's Bhagavad Gita is a Sanskrit text that is increasingly being explored for leadership and management wisdom. We take a literal approach to engaging with the entirety of the Gita 's 700 verses across its 18 chapters as a coherent whole and integrating the lessons into a linked leadership model. The model provides a flexible framework highlighting topics recognized as relevant to leadership, including self‐leadership, integrity, virtue, servant leadership, motivation, team dynamics, culture, ecology, meaning, and purpose.
Publisher: SAGE Publications
Date: 30-01-2021
Abstract: We propose a reawakening of interest in the role of artistic knowing for managerial education, presenting a pedagogy that is sensitive to cultural context and aimed at enabling the phronetic management of paradox. Inspired by fado, the iconic Portuguese popular music, especially the ways in which it embodies the stresses of society, we develop strategies for management learning based on engagement with art that fosters sensitivity to paradox. We contribute to management learning by inviting practitioners to be sensitive to the complexity of competing tensions in the cultures and language in and through which everyday lives are lived by bringing attention to the potential of artistic knowing for highlighting and navigating management paradoxes, to develop phronesis.
Publisher: Informa UK Limited
Date: 02-01-2023
Publisher: Elsevier BV
Date: 05-2020
Publisher: Informa UK Limited
Date: 02-07-2019
Publisher: Elsevier BV
Date: 10-2014
Publisher: Elsevier BV
Date: 06-2021
Publisher: SAGE Publications
Date: 10-2021
DOI: 10.1177/13505076211045217
Abstract: Positive Organizational Scholarship (POS), with positivity as a core conceptual component, is a major innovation in recent decades in management and organizational studies. Just as organization is an inherently paradox laden process, so too, we argue, is positivity. Yet in classrooms and in practice, POS is mostly taught in a manner that accepts only one side of the paradox, that which, at first glance, appears positive. Against such linear approaches we propose another possibility: teaching positivity through a pedagogy of generative paradoxes emergent from creatively harmonizing the energy of competing and interdependent positive and negative tensions. In the process we extend the notion of generative paradox as discussed in paradox literature by embracing the notion of generativity as discussed in POS theorizing where it is associated with organizational processes that facilitate outcomes of collective flourishing, abundance, wellbeing, and virtue. Our proposed three-part generative paradox pedagogy contributes to the literature on POS, organizational paradox, and management learning.
Publisher: IWA Publishing
Date: 10-2011
DOI: 10.2166/NH.2011.017
Abstract: The impact of rainfall interpolation techniques and unit hydrograph estimation has been explored for four gauged locations in the Brahmani basin in east India. The use of ground-based and satellite-based data, coupled with testing two interpolation techniques (Thiessen polygon and inverse distance weighting), can yield improved rainfall estimates and fits to observed flows. Due to the presence of significant errors in the areal rainfall estimate it was found that identification of known errors in rainfall data can assist in focusing model calibration on catchment response, thereby reducing the uncertainty in model parameter values. Similarly, using several approaches to estimate the unit hydrograph can assist in reducing uncertainty. The resulting performance of the model for the gauged sites in the Brahmani basin gave Nash–Sutcliffe efficiency (NSE) values for the calibration period of 0.6–0.7. For this basin, the inverse distance weighting approach corrected for spatial variation in rainfall distribution generally gave the best fits to the observed streamflow. Sensitivity to errors in the rainfall surface limits the applicability for this approach in modelling the flows in ungauged basins, however.
Publisher: Elsevier BV
Date: 04-2020
Publisher: Elsevier BV
Date: 08-2005
Publisher: Elsevier BV
Date: 04-2006
Publisher: Elsevier BV
Date: 02-2009
DOI: 10.1016/J.JENVMAN.2008.02.004
Abstract: This paper presents a process for estimating pollutant loads from water quality data, to improve catchment-scale modelling in the region for resource management purposes. It describes a program to estimate suspended sediment, total and dissolved nitrogen and phosphorus loads to the Tuross estuary from the Tuross River catchment (1810 km(2)) of coastal southeast Australia. Event-based water quality s ling results obtained during storm events in 2005 are presented. Event 1, during July 2005 was the largest storm event in terms of peak flow for 3.5 years. Other events monitored were also in July, November and December 2005. The early July 2005 event had a flow-weighted mean suspended sediment (SS) concentration during the first 4 days of 63 mg L(-1). Of the events monitored, this was unusual as it was preceded by drought and had the largest SS concentrations (peaking at 180 mg L(-1)) during the rising-stage. In contrast, the November event had a much lower flow-weighted SS mean (28 mg L(-1)), even though peak flow magnitudes were similar. The July and November 2005 events had peak flows of 12,360 and 11,330 ML day(-1). Low-cost rising-stage siphon s lers were used to collect s les during the rapidly rising phase of these events. The use of such s lers and consideration of time-lead/lag flow adjustments, quantified using cross-correlation analysis to account for hysteresis effects, were incorporated into the load estimation techniques. The technique is a potentially useful approach for understanding relationships between water quality concentrations and flow for modelling catchment source strengths and transport processes.
Publisher: Elsevier BV
Date: 03-2006
Publisher: IWA Publishing
Date: 29-05-2013
DOI: 10.2166/NH.2013.204
Abstract: Simple modelling approaches such as a spatially lumped, rainfall–runoff model offer a number of advantages in the management of water resources including the relative ease with which groundwater and surface water accounts can be evaluated at the river-reach scale in data-poor areas. However, rainfall–runoff models are generally not well suited for use in ephemeral river systems because of their inability to simulate abrupt transitions from flow to no-flow periods and the highly non-linear rainfall–runoff relationships that exist in low yielding catchments. This paper discusses some of the challenges of using a rainfall–runoff model to assess the impacts of groundwater extraction on low flows within an ephemeral river system and demonstrates how these challenges were overcome during the development of the IHACRES_GW (Identification of Hydrographs And Component flows from Rainfall, Evaporation and Streamflow data – with Ground Water store) model. Details on the model algorithms, calibration, validation and objective function fits are provided. The performance of the IHACRES_GW model in Cox's Creek (Namoi Valley, Australia), and 13 additional areas investigated, suggests that this simple modelling approach may be of considerable utility for water accounting, especially when attempting to evaluate the impacts of groundwater extraction on low flows in similar systems.
Publisher: Elsevier BV
Date: 02-2011
Publisher: Oxford University Press (OUP)
Date: 06-2003
Publisher: Copernicus GmbH
Date: 02-2018
DOI: 10.5194/PIAHS-376-45-2018
Abstract: Abstract. This paper presents an overview of work in West Bengal, Andhra Pradesh and SW Bangladesh through a series of projects from 2005 to the present, considering the impact of farming systems, water shed development and/or agricultural intensification on livelihoods in selected rural areas of India and Bangladesh. The projects spanned a range of scales spanning from the village scale (∼ 1 km2) to the meso-scale (∼ 100 km2), and considered social as well as biophysical aspects. They focused mainly on the food and water part of the food-water-energy nexus. These projects were in collaboration with a range of organisations in India and Bangladesh, including NGOs, universities, and government research organisations and departments. The projects were part funded by the Australian Centre for International Agricultural Research, and built on other projects that have been undertaken within the region. An element of each of these projects was to understand how the hydrological cycle could be managed sustainably to improve agricultural systems and livelihoods of marginal groups. As such, they evaluated appropriate technology that is generally not dependent on high-energy inputs (mechanisation). This includes assessing the availability of water, and identifying potential water resources that have not been developed understanding current agricultural systems and investigating ways of improving water use efficiency and understanding social dynamics of the affected communities including the potential opportunities and negative impacts of watershed development and agricultural development.
Publisher: IWA Publishing
Date: 10-2005
Abstract: This paper describes the development and testing of a mathematical model as a tool to quantify pathogen loads in Sydney's drinking water catchments. It has been used to identify, quantify and prioritise sources of Cryptosporidium, Giardia and E. coli in the Wingecarribee catchment. The pathogen model promotes understanding of the relative significance of different sources of pathogen risks as well as their fate and transport as they move through the subcatchments. This pathogen model not only enables water utility managers to identify those catchment segments that may contribute the highest load of pathogens, but also where management options will be most effective.
Publisher: Elsevier BV
Date: 02-2009
Publisher: IWA Publishing
Date: 03-2012
DOI: 10.2166/WPT.2012.019
Abstract: This paper discusses an integrated approach for water resource management to improve rural livelihoods in the East India Plateau. This has involved linking hydrological, agronomic and social aspects to increase access to water, improve water use efficiency and develop capacity within the villages for better decision making regarding use of the available resources. To this end, the research adopted a participatory, action-learning approach, with villagers joining in developing research questions, executing experiments, collecting data and sharing in their interpretation, as well as planning intervention work designed to improve access to water, particularly in the early dry season. The focus of this paper is on the integration of the different aspects of water resource management, with particular emphasis on the social issues. This included working with women's self-help groups and village watershed committees, and specific efforts to engage women in research and related development activities. The result has been an improved capacity within the village for managing water resources, including improved self-perceptions as farmers (especially women), better understanding of the potential resources and any constraints (e.g. soil fertility) and knowledge of how to manage the constraints (e.g. fertilisers), as well as a better understanding of the social capacities within the village.
Publisher: Elsevier BV
Date: 07-2005
Publisher: Elsevier BV
Date: 12-2020
Publisher: Springer Science and Business Media LLC
Date: 29-09-2006
Publisher: Informa UK Limited
Date: 06-10-2016
Publisher: Elsevier BV
Date: 02-2013
Publisher: American Geophysical Union (AGU)
Date: 11-2020
DOI: 10.1029/2020WR027721
Publisher: Elsevier BV
Date: 03-2011
Publisher: Springer International Publishing
Date: 2014
Publisher: Elsevier BV
Date: 07-2015
Publisher: Springer Science and Business Media LLC
Date: 26-11-2019
Publisher: Elsevier BV
Date: 02-2013
Publisher: Oxford University Press (OUP)
Date: 05-2003
Publisher: Elsevier BV
Date: 09-2015
Publisher: Elsevier
Date: 2015
Publisher: Wiley
Date: 08-04-2013
Publisher: Elsevier BV
Date: 09-2019
Publisher: Elsevier BV
Date: 2004
Publisher: Public Library of Science (PLoS)
Date: 27-09-2013
Publisher: Australian Mathematical Publishing Association, Inc.
Date: 07-12-2021
DOI: 10.21914/ANZIAMJ.V62.16094
Abstract: A computationally efficient and robust s ling scheme can support a sensitivity analysis of models to discover their behaviour through Quasi Monte Carlo approximation. This is especially useful for complex models, as often occur in environmental domains when model runtime can be prohibitive. The Sobol' sequence is one of the most used quasi-random low-discrepancy sequences as it can explore the parameter space significantly more evenly than pseudo-random sequences. The built-in determinism of the Sobol' sequence assists in achieving this attractive property. However, the Sobol' sequence tends to deteriorate in the sense that the estimated errors are distributed inconsistently across model parameters as the dimensions of a model increase. By testing multiple Sobol' sequence implementations, it is clear that the deterministic nature of the Sobol' sequence occasionally introduces relatively large errors in sensitivity indices produced by well-known global sensitivity analysis methods, and that the errors do not diminish by averaging through multiple replications. Problematic sensitivity indices may mistakenly guide modellers to make type I and II errors in trying to identify sensitive parameters, and this will potentially impact model reduction attempts based on these sensitivity measurements. This work investigates the cause of the Sobol' sequence's determinism-related issues. References I. A. Antonov and V. M. Saleev. An economic method of computing LPτ-sequences. USSR Comput. Math. Math. Phys. 19.1 (1979), pp. 252–256. doi: 10.1016/0041-5553(79)90085-5 P. Bratley and B. L. Fox. Algorithm 659: Implementing Sobol’s quasirandom sequence generator. ACM Trans. Math. Soft. 14.1 (1988), pp. 88–100. doi: 10.1145/42288.214372 J. Feinberg and H. P. Langtangen. Chaospy: An open source tool for designing methods of uncertainty quantification. J. Comput. Sci. 11 (2015), pp. 46–57. doi: 10.1016/j.jocs.2015.08.008 on p. C90). S. Joe and F. Y. Kuo. Constructing Sobol sequences with better two-dimensional projections. SIAM J. Sci. Comput. 30.5 (2008), pp. 2635–2654. doi: 10.1137/070709359 S. Joe and F. Y. Kuo. Remark on algorithm 659: Implementing Sobol’s quasirandom sequence generator. ACM Trans. Math. Soft. 29.1 (2003), pp. 49–57. doi: 10.1145/641876.641879 W. J. Morokoff and R. E. Caflisch. Quasi-random sequences and their discrepancies. SIAM J. Sci. Comput. 15.6 (1994), pp. 1251–1279. doi: 10.1137/0915077 X. Sun, B. Croke, S. Roberts, and A. Jakeman. Comparing methods of randomizing Sobol’ sequences for improving uncertainty of metrics in variance-based global sensitivity estimation. Reliab. Eng. Sys. Safety 210 (2021), p. 107499. doi: 10.1016/j.ress.2021.107499 S. Tarantola, W. Becker, and D. Zeitz. A comparison of two s ling methods for global sensitivity analysis. Comput. Phys. Com. 183.5 (2012), pp. 1061–1072. doi: 10.1016/j.cpc.2011.12.015 S. Tezuka. Discrepancy between QMC and RQMC, II. Uniform Dist. Theory 6.1 (2011), pp. 57–64. url: pcwww.liv.ac.uk/~karpenk/JournalUDT/vol06/no1/5Tezuka11-1.pdf I. M. Sobol′. On the distribution of points in a cube and the approximate evaluation of integrals. USSR Comput. Math. Math. Phys. 7.4 (1967), pp. 86–112. doi: 10.1016/0041-5553(67)90144-9 I. M. Sobol′. Sensitivity estimates for nonlinear mathematical models. Math. Model. Comput. Exp 1.4 (1993), pp. 407–414.
Publisher: Elsevier BV
Date: 02-2020
Publisher: CSIRO Publishing
Date: 2006
DOI: 10.1071/MF05166
Abstract: This paper reviews knowledge of nitrogen and phosphorus generation from land use and export to waterways, including studies relevant to Australia. It provides a link between current and future modelling requirements, and the context for incorporation of this knowledge into catchment models for use by catchment managers. Selected catchment models used by catchment managers are reviewed, and factors limiting their application are addressed. The review highlights the importance of dissolved N and P for overland flow and groundwater pathways, for sheep, beef and dairy grazing land use. Consequently, the effectiveness of riparian buffers to remove N and P may not be adequate. Consideration of the effects of rainfall and hydrology, dissolved P and N losses from pastures and event-based catchment-scale loads are therefore important factors that should be incorporated into catchment models. The review shows that it is likely that nutrient losses under Australian dairying conditions have many similarities to worldwide studies. Catchment models need to represent the importance of event-based loads, intensively farmed land use, management and forms of nutrients. Otherwise there is a likelihood of either underestimating nutrient losses, or potentially overestimating the effectiveness of riparian buffers.
Publisher: Elsevier BV
Date: 10-2011
Publisher: Elsevier BV
Date: 05-2004
Publisher: Elsevier BV
Date: 11-2012
Publisher: Springer Science and Business Media LLC
Date: 07-2014
Publisher: Elsevier BV
Date: 02-2022
Publisher: IWA Publishing
Date: 11-2007
DOI: 10.2166/WH.2007.013
Abstract: Over 1.1 billion people in the world lack access to improved drinking water. Diarrheal and other waterborne diseases cause an estimated 2.2 million deaths per year. The Safe Water System (SWS) is a proven household water treatment intervention that reduces diarrheal disease incidence in users in developing countries. Because the SWS recommends the addition of sodium hypochlorite to unfiltered water sources, concerns have been raised about the potential long-term health effects of disinfection by-products to SWS users. This study investigated the production of trihalomethanes (THMs) in water treated with sodium hypochlorite from six sources used for drinking water in western Kenya. The turbidity values of these sources ranged from 4.23 NTU to 305 NTU. THM concentrations were analysed at 1, 8, and 24 hours after addition of sodium hypochlorite. No s le exceeded the World Health Organization (WHO) guideline values for any of the four THMs: chloroform, bromodichloromethane, dibromochloromethane, or bromoform. In addition, no s le exceeded the WHO additive total THM guideline value. These results clearly show that point-of-use chlorination of a variety of realistic source waters used for drinking did not lead to THM concentrations that pose a significant health risk to SWS users.
Publisher: Copernicus GmbH
Date: 05-06-2018
Abstract: Abstract. Management of water resources requires understanding of the hydrology and hydrogeology, as well as the policy and human drivers and their impacts. This understanding requires relevant inputs from a wide range of disciplines, which will vary depending on the specific case study. One approach to gain understanding of the impact of climate and society on water resources is through the use of an integrated modelling process that engages stakeholders and experts in specifics of problem framing, co-design of the underpinning conceptual model, and discussion of the ensuing results. In this study, we have developed such an integrated modelling process for the C aspe basin in northern Victoria, Australia. The numerical model built has a number of components: Node/link based surface water hydrology module based on the IHACRES rainfall-streamflow model Distributed groundwater model for the lower catchment (MODFLOW) Farm decision optimisation module (to determine irrigation requirements) Policy module (setting conditions on availability of water based on existing rules) Ecology module (determining the impacts of available streamflow on platypus, fish and river red gum trees) The integrated model is component based and has been developed in Python, with the MODFLOW and surface water hydrology model run in external programs, controlled by the master program (in Python). The integrated model has been calibrated using historical data, with the intention of exploring the impact of various scenarios (future climate scenarios, different policy options, water management options) on the water resources. The scenarios were selected based on workshops with, and a social survey of, stakeholders in the basin regarding what would be socially acceptable and physically plausible options for changes in management. An ex le of such a change is the introduction of a managed aquifer recharge system to capture dam overflows, and store at least a portion of this in the aquifer, thereby increasing the groundwater resource as well as reducing the impact of existing pumping levels.
Publisher: Cambridge University Press
Date: 22-11-2007
Publisher: Copernicus GmbH
Date: 02-2018
Publisher: SAGE Publications
Date: 27-01-2021
Publisher: IWA Publishing
Date: 03-2012
DOI: 10.2166/WPT.2012.025
Abstract: Watershed Development (WSD) programs in rainfed dryland agriculture in India have been introduced in an effort to promote more sustainable management of the surface and groundwater resources, and to improve the livelihoods of farmers. This paper outlines the planned research for a project exploring the impacts of WSD at the meso-scale (~100 km2). The aim of the project is to develop and apply integrated models to assess cost effectiveness and water-related equity outcomes of stakeholder defined WSD scenarios and to integrate and apply, in collaboration with project partners, the knowledge arising from the project at local, state and national policy levels.
Publisher: IWA Publishing
Date: 04-12-2012
DOI: 10.2166/NH.2012.099
Abstract: The effects of data time-step on the accuracy of calibrated parameters in a discrete-time conceptual rainfall–streamflow model are reviewed and further investigated. A quick-flow decay time constant of 19.9 hr, calibrated for the 10.6 km2 Wye at Cefn Brwyn using daily data, massively overestimates a reference value of 3.76 hr calibrated using hourly data (an inaccuracy of 16.1 hr or 429%). About 42 and 58% of the inaccuracy are accounted for by loss of information in the effective rainfall and streamflow data, respectively. A slow-flow decay time constant is inaccurate by about +111%, of which about 94 and 17 percentage points (85 and 15% of the absolute inaccuracy) are due to loss of information in the effective rainfall and streamflow data, respectively. Discrete-time rainfall–streamflow model parameter inaccuracy caused by data time-step effects is discussed in terms of its implications for parameter regionalisation (including database aspects) and catchment-scale process studies.
Publisher: Informa UK Limited
Date: 08-2008
Publisher: Wiley
Date: 24-05-2004
DOI: 10.1002/HYP.1423
Publisher: Informa UK Limited
Date: 03-2013
Publisher: Elsevier BV
Date: 06-2005
Publisher: Springer Science and Business Media LLC
Date: 11-06-2014
Publisher: Elsevier BV
Date: 10-2014
Publisher: Elsevier BV
Date: 10-2003
Publisher: Elsevier BV
Date: 04-2019
Publisher: Informa UK Limited
Date: 02-2009
Publisher: Copernicus GmbH
Date: 23-09-2022
DOI: 10.5194/IAHS2022-318
Abstract: & & This presentation gives an overview of an investigation of the potential for managed aquifer recharge (MAR) in three established or emerging irrigated cotton-growing regions in Australia: the Lower Murrumbidgee and Lower Namoi basins in western NSW and the Gilbert River catchment in far northern Queensland. Ongoing interest in MAR as a strategy to support irrigated agriculture has not translated into much investment in Australia. The aim was to evaluate how MAR might be feasible for irrigated cotton production and associated cropping systems in the focus regions and make recommendations on next-step actions that could incrementally develop the knowledge, confidence and expertise needed to invest in MAR. The broad approach taken was to draw on evidence from a holistic feasibility assessment to scope a set of plausible scenarios for MAR, to test and refine these scenarios with local and state government stakeholders and researchers, and to develop recommendations to support any efforts to proceed with MAR by the funder (the Cotton Research and Development Corporation) or other parties.& & & & The scenarios varied in their scale (e.g. single farm, irrigation schemes), purpose (e.g. managing drawdown, reducing evaporative losses), infrastructure and governance arrangements. Together they highlighted the critical need to improve knowledge on local hydrogeological conditions and develop MAR policy and regulations that enhance the strengths of MAR whilst minimising risks. A water accounting grade estimate of recharge is critical to being confident that MAR provides an advantage over investing in reducing infiltration & #8220 losses& #8221 , allowing an allocation to be issued. As an initial step, MAR pilot studies could work with state government to test water accounting of recharge quantification methods in dedicated trial infiltration basins and test injection wells. Reducing uncertainty about evaporation and recharge rates is critical to comparing MAR as a low loss water storage solution to other evaporation or infiltration reduction alternatives. If land managers invest in improving understanding of aquifers under their land and quantifying seepage and evaporation over time, this will incrementally reduce uncertainty on the effectiveness and viability of MAR.& & &
Publisher: Elsevier BV
Date: 10-2003
Publisher: IWA Publishing
Date: 06-2013
DOI: 10.2166/NH.2013.001
Publisher: Elsevier BV
Date: 06-2000
Publisher: MDPI AG
Date: 16-11-2019
DOI: 10.3390/SU11226463
Abstract: The Beijing-Tianjin-Hebei (Jingjinji) region is the most densely populated region in China and suffers from severe water resource shortage, with considerable water-related issues emerging under a changing context such as construction of water ersion projects (WDP), regional synergistic development, and climate change. To this end, this paper develops a framework to examine the water resource security for 200 counties in the Jingjinji region under these changes. Thus, county-level water resource security is assessed in terms of the long-term annual mean and selected typical years (i.e., dry, normal, and wet years), with and without the WDP, and under the current and projected future (i.e., regional synergistic development and climate change). The outcomes of such scenarios are assessed based on two water-crowding indicators, two use-to-availability indicators, and one composite indicator. Results indicate first that the water resources are distributed unevenly, relatively more abundant in the northeastern counties and extremely limited in the other counties. The water resources are very limited at the regional level, with the water availability per capita and per unit gross domestic product (GDP) being only 279/290 m3 and 46/18 m3 in the current and projected future scenarios, respectively, even when considering the WDP. Second, the population carrying capacity is currently the dominant influence, while economic development will be the controlling factor in the future for most middle and southern counties. This suggests that significant improvement in water-saving technologies, vigorous replacement of industries from high to low water consumption, as well as water from other supplies for large-scale applications are greatly needed. Third, the research identifies those counties most at risk to water scarcity and shows that most of them can be greatly relieved after supplementation by the planned WDP. Finally, more attention should be paid to the southern counties because their water resources are not only limited but also much more sensitive and vulnerable to climate change. This work should benefit water resource management and allocation decisions in the Jingjinji region, and the proposed assessment framework can be applied to other similar problems.
Publisher: Elsevier BV
Date: 03-2022
Publisher: Elsevier BV
Date: 07-2006
Publisher: American Geophysical Union (AGU)
Date: 11-2012
DOI: 10.1029/2011WR011773
Publisher: Oxford University Press (OUP)
Date: 09-2003
Publisher: Informa UK Limited
Date: 04-05-2014
Publisher: Wiley
Date: 25-07-2015
Publisher: IOP Publishing
Date: 12-1995
DOI: 10.1086/133684
Publisher: American Geophysical Union (AGU)
Date: 08-2023
DOI: 10.1029/2022WR032194
Abstract: Factor Fixing (FF) is a common method for reducing the number of model parameters to lower computational cost. FF typically starts with distinguishing the insensitive parameters from the sensitive and pursues uncertainty quantification (UQ) on the resulting reduced‐order model, fixing each insensitive parameter at a fixed value. There is a need, however, to expand such a common approach to consider the effects of decision choices in the FF‐UQ procedure on metrics of interest. Therefore, to guide the use of FF and increase confidence in the resulting dimension‐reduced model, we propose a new adaptive framework consisting of four principles: (a) re‐parameterize the model first to reduce obvious non‐identifiable parameter combinations, (b) focus on decision relevance especially with respect to errors in quantities of interest (QoI), (c) conduct adaptive evaluation and robustness assessment of errors in the QoI across FF choices as s le size increases, and (d) reconsider whether fixing is warranted. The framework is demonstrated on a spatially‐distributed water quality model. The error in estimates of QoI caused by FF can be estimated using a Polynomial Chaos Expansion (PCE) surrogate model. Built with 70 model runs, the surrogate is computationally inexpensive to evaluate and can provide global sensitivity indices for free. For the selected catchment, just two factors may provide an acceptably accurate estimate of model uncertainty in the average annual load of Total Suspended Solids (TSS), suggesting that reducing the uncertainty in these two parameters is a priority for future work before undertaking further formal uncertainty quantification.
Publisher: Elsevier BV
Date: 2015
Publisher: Elsevier BV
Date: 03-2006
Publisher: Informa UK Limited
Date: 26-04-2011
Publisher: Elsevier BV
Date: 05-2007
Publisher: Springer Science and Business Media LLC
Date: 25-11-2021
Publisher: Elsevier BV
Date: 08-2005
Publisher: Wiley
Date: 16-05-2022
DOI: 10.1002/WAT2.1599
Abstract: Wildfires elicit a ersity of hydrological changes, impacting processes that drive both water quantity and quality. As wildfires increase in frequency and severity, there is a need to assess the implications for the hydrological response. Wildfire‐related hydrological changes operate at three distinct timescales: the immediate fire aftermath, the recovery phase, and long‐term across multiple cycles of wildfire and regrowth. Different dominant processes operate at each timescale. Consequentially, models used to predict wildfire impacts need an explicit representation of different processes, depending on modeling objectives and wildfire impact timescale. We summarize existing data‐driven, conceptual, and physically based models used to assess wildfire impacts on runoff, identifying the dominant assumptions, process representations, timescales, and key limitations of each model type. Given the substantial observed and projected changes to wildfire regimes and associated hydrological impacts, it is likely that physically based models will become increasingly important. This is due to their capacity both to simulate simultaneous changes to multiple processes, and their use of physical and biological principles to support extrapolation beyond the historical record. Yet benefits of physically based models are moderated by their higher data requirements and lower computational speed. We argue that advances in predicting hydrological impacts from wildfire will come through combining these physically based models with new computationally faster conceptual and reduced‐order models. The aim is to combine the strengths and overcome weaknesses of the different model types, enabling simulations of critical water resources scenarios representing wildfire‐induced changes to runoff. This article is categorized under: Water and Life Conservation, Management, and Awareness Science of Water Hydrological Processes Science of Water Water and Environmental Change
Publisher: International Association of Management Spirituality & Religion
Date: 02-01-2017
DOI: 10.1080/14766086.2016.1184100
Abstract: Love is a powerful human process that has attracted the attention of scholars within the cultural and scientific domains. Thus far, the majority of management scholars have tended to neglect love as a relevant topic of theorizing and research. Given the recent interest in the phenomenon in allied fields such as sociology and psychology, this is surprising. We create, inductively, an archetypical image of how managers make sense of the meaning of love as an organizational phenomenon by means of a s le of Christian managers. The findings indicate that such managers associate love with two core dimensions. First, they describe love as an expression of virtue. Second, they link love with a sense of community-ship. Organizational love can thus be theorized as the exercise of constructing virtuous, other-oriented human communities that transcend the productive functions of work and respond to important human needs, fulfilling normative performativity.
Publisher: Elsevier BV
Date: 05-2009
Publisher: Elsevier BV
Date: 10-2021
Publisher: American Geophysical Union (AGU)
Date: 08-2015
DOI: 10.1002/2015WR016967
Publisher: Elsevier BV
Date: 02-2009
Publisher: Elsevier BV
Date: 05-2021
Publisher: Elsevier BV
Date: 08-2017
Publisher: Elsevier BV
Date: 10-2013
Publisher: SAGE Publications
Date: 22-09-2021
DOI: 10.1177/13505076211038080
Abstract: The jester embodies an ancient social institution, which serves a paradoxical purpose: to mitigate the excesses of power, while serving and supporting the ruler through a license to jest. The metaphor of the jester, used constructively, offers a unique window on the contradictions of organizational studies and their paradoxical role in relation to corporate practices. We explore how jesting may inform academic work through using humour and laughter to deconstruct organizational taboos and convey truth to power. We suggest that academic jesting constitute a wise and undervalued way in which management learning can occur.
Publisher: Springer International Publishing
Date: 09-2018
Publisher: Elsevier BV
Date: 09-2007
Publisher: CSIRO Publishing
Date: 2001
DOI: 10.1071/MF00045
Abstract: Throughout Australia, there are strong regional differences in hydrological response to landscape and climate however, in general terms, in Australian catchments the flows are typically peakier, base flows are of lower proportion, runoff coefficients are smaller, and dry periods are longer and more variable, than in European and North American catchments. In this context, this paper assesses the model types available to improve understanding and prediction of catchment flows and transport. Included in this is the concept of information and its influence on appropriate model complexity, as well as a characterization of the principal factors inhibiting model performance. The ability to predict the effects on flows and water quality of anything but major changes in climate and land use is limited. Improvement of understanding and prediction relies on the following: more rigorous testing of models to assess their ability to separate climate and land use effects on hydrological response the use and improved interpretation of spatial data more and better monitoring of hydrological response at a range of scales complementary use of conceptual and distributed models and integration of modelling with other information such as that from geochemical studies including tracer analysis.
Publisher: MDPI AG
Date: 24-01-2020
DOI: 10.3390/GEOSCIENCES10020043
Abstract: Probabilistic models for sub-daily rainfall predictions are important tools for understanding catchment hydrology and estimating essential rainfall inputs for agricultural and ecological studies. This research aimed at achieving theoretical probability distribution to non-zero, sub-daily rainfall using data from 1467 rain gauges across the Australian continent. A framework was developed for estimating rainfall data at ungauged locations using the fitted model parameters from neighbouring gauges. The Lognormal, Gamma and Weibull distributions, as well as their mixed distributions were fitted to non-zero six-minutes rainfall data. The root mean square error was used to evaluate the goodness of fit for each of these distributions. To generate data at ungauged locations, parameters of well-fit models were interpolated from the four closest neighbours using inverse weighting distance method. Results show that the Gamma and Weibull distributions underestimate and lognormal distributions overestimate the high rainfall events. In general, a mixed model of two distributions was found better compared to the results of an in idual model. Among the five models studied, the mixed Gamma and Lognormal (G-L) distribution produced the minimum root mean square error. The G-L model produced the best match to observed data for high rainfall events (e.g., 90th, 95th, 99th, 99.9th and 99.99th percentiles).
Publisher: Elsevier BV
Date: 03-2008
Start Date: 09-2008
End Date: 12-2012
Amount: $290,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 03-2006
End Date: 09-2009
Amount: $145,444.00
Funder: Australian Research Council
View Funded ActivityStart Date: 08-2019
End Date: 12-2023
Amount: $381,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 07-2009
End Date: 12-2015
Amount: $14,999,996.00
Funder: Australian Research Council
View Funded Activity