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Dive into the research topics where J. Crossman is active.

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Featured researches published by J. Crossman.


Progress in Physical Geography | 2015

Climate change and water in the UK - past changes and future prospects

Glen Watts; Richard W. Battarbee; John P. Bloomfield; J. Crossman; A. Daccache; Isabelle Durance; J. Alex Elliott; Grace Garner; Jamie Hannaford; David M. Hannah; Tim Hess; Christopher R. Jackson; Alison L. Kay; Martin Kernan; Jerry W. Knox; Jonathan Mackay; Dt Monteith; S.J. Ormerod; Jemima Rance; Marianne E. Stuart; Andrew J. Wade; Steven Wade; Paul Whitehead; Robert L. Wilby

Climate change is expected to modify rainfall, temperature and catchment hydrological responses across the world, and adapting to these water-related changes is a pressing challenge. This paper reviews the impact of anthropogenic climate change on water in the UK and looks at projections of future change. The natural variability of the UK climate makes change hard to detect; only historical increases in air temperature can be attributed to anthropogenic climate forcing, but over the last 50 years more winter rainfall has been falling in intense events. Future changes in rainfall and evapotranspiration could lead to changed flow regimes and impacts on water quality, aquatic ecosystems and water availability. Summer flows may decrease on average, but floods may become larger and more frequent. River and lake water quality may decline as a result of higher water temperatures, lower river flows and increased algal blooms in summer, and because of higher flows in the winter. In communicating this important work, researchers should pay particular attention to explaining confidence and uncertainty clearly. Much of the relevant research is either global or highly localized: decision-makers would benefit from more studies that address water and climate change at a spatial and temporal scale appropriate for the decisions they make.


Philosophical Transactions of the Royal Society A | 2013

A cost-effectiveness analysis of water security and water quality: impacts of climate and land-use change on the River Thames system

Paul Whitehead; J. Crossman; B. B. Balana; Martyn N. Futter; Sean Comber; Li Jin; Dimitris Skuras; Andrew J. Wade; Michael J. Bowes; Daniel S. Read

The catchment of the River Thames, the principal river system in southern England, provides the main water supply for London but is highly vulnerable to changes in climate, land use and population. The river is eutrophic with significant algal blooms with phosphorus assumed to be the primary chemical indicator of ecosystem health. In the Thames Basin, phosphorus is available from point sources such as wastewater treatment plants and from diffuse sources such as agriculture. In order to predict vulnerability to future change, the integrated catchments model for phosphorus (INCA-P) has been applied to the river basin and used to assess the cost-effectiveness of a range of mitigation and adaptation strategies. It is shown that scenarios of future climate and land-use change will exacerbate the water quality problems, but a range of mitigation measures can improve the situation. A cost-effectiveness study has been undertaken to compare the economic benefits of each mitigation measure and to assess the phosphorus reductions achieved. The most effective strategy is to reduce fertilizer use by 20% together with the treatment of effluent to a high standard. Such measures will reduce the instream phosphorus concentrations to close to the EU Water Framework Directive target for the Thames.


Science of The Total Environment | 2013

The interactive responses of water quality and hydrology to changes in multiple stressors, and implications for the long-term effective management of phosphorus

J. Crossman; Paul Whitehead; Martyn N. Futter; Li Jin; Maria Shahgedanova; Marie Castellazzi; Andrew J. Wade

Soluble reactive phosphorus (SRP) plays a key role in eutrophication, a global problem decreasing habitat quality and in-stream biodiversity. Mitigation strategies are required to prevent SRP fluxes from exceeding critical levels, and must be robust in the face of potential changes in climate, land use and a myriad of other influences. To establish the longevity of these strategies it is therefore crucial to consider the sensitivity of catchments to multiple future stressors. This study evaluates how the water quality and hydrology of a major river system in the UK (the River Thames) respond to alterations in climate, land use and water resource allocations, and investigates how these changes impact the relative performance of management strategies over an 80-year period. In the River Thames, the relative contributions of SRP from diffuse and point sources vary seasonally. Diffuse sources of SRP from agriculture dominate during periods of high runoff, and point sources during low flow periods. SRP concentrations rose under any future scenario which either increased a) surface runoff or b) the area of cultivated land. Under these conditions, SRP was sourced from agriculture, and the most effective single mitigation measures were those which addressed diffuse SRP sources. Conversely, where future scenarios reduced flow e.g. during winters of reservoir construction, the significance of point source inputs increased, and mitigation measures addressing these issues became more effective. In catchments with multiple point and diffuse sources of SRP, an all-encompassing effective mitigation approach is difficult to achieve with a single strategy. In order to attain maximum efficiency, multiple strategies might therefore be employed at different times and locations, to target the variable nature of dominant SRP sources and pathways.


Science of The Total Environment | 2012

Macronutrient cycles and climate change: key science areas and an international perspective.

Paul Whitehead; J. Crossman

Human activities have doubled global cycles of Nitrogen (N) and Phosphorus (P) and elevated N and P have compromised ecosystem services through the degradation of natural resources of soils, freshwaters and marine waters with a subsequent loss of biodiversity. Elevated Carbon (C) levels in the atmosphere have been linked to global warming, with positive feedback mechanisms accelerating the warming process. In order to initiate nutrient control, both national and international mitigation measures have been implemented. However, many of these initiatives focus upon a single nutrient without considering cycle interactions. A sound understanding of processes and transformations involved in the interactions of macronutrient cycles is required to avoid inadvertently enhancing effects of one nutrient, during mitigation for impacts of another. Emerging research initiatives are addressing these research gaps, with programmes in the US (USGCRP) and the UK (Macronutrient Cycles) advocating integration between scientists and stakeholders, in order to deliver results directly to policy makers. Through these programmes the scales of nitrogen and phosphorus fluxes will be quantified, and a determination made of the nature of nutrient transformations in catchments under a changing climate and perturbed carbon cycle. The consideration of connectivity between multiple macronutrient cycles will help to minimise the threats to biodiversity, ecosystem dynamics, public water supplies and human health by improved management and better focused policy.


Inland Waters | 2013

Phosphorus dynamics across intensively monitored subcatchments in the Beaver River

Helen M. Baulch; Martyn N. Futter; Li Jin; Paul Whitehead; David T Woods; Peter J. Dillon; Dan Butterfield; Stephen K. Oni; Lance P Aspden; Eavan M O’Connor; J. Crossman

Abstract We report results from a spatially intensive monitoring and modelling study to assess phosphorus (P) dynamics in the Beaver River, a tributary of Lake Simcoe, Ontario. We established multiple monitoring stations (9 flow and 24 water quality stations) from headwaters to near the outflow that were operated for 2 field seasons, complementing longer term data from a flow monitoring site and water chemistry monitoring site. We applied the Branched-INCA-P model, which allows fully distributed simulations supported by highly distributed monitoring data. Using spatially distributed data helped better understand variable P and sediment dynamics across the catchment and identify key model uncertainties and uncertainties related to catchment P management. Measured and modelled total P concentrations often exceeded provisional water quality thresholds in many areas of the catchment and highlight the value of studying water quality across multiple subcatchments rather than at a single site. Total P export coefficients differed widely among subcatchments, ranging from 2.1–21.4 kg km−2 y−1 over a single year. Export coefficients were most strongly (negatively) related to the proportion of wetland cover in subcatchments. The INCA-P model captured spatial variation in P concentrations relatively well, but short-term temporal variability in the observed data was not well simulated across sites, in part due to unmodelled hydrological phenomena including beaver activity and unknown drivers of P peaks that were not associated with hydrological events.


Inland Waters | 2013

Modelling phosphorus in Lake Simcoe and its subcatchments: scenario analysis to assess alternative management strategies

Li Jin; Paul Whitehead; Helen M. Baulch; Peter J. Dillon; Dan Butterfield; Stephen K. Oni; Martyn N. Futter; J. Crossman; Eavan M O’Connor

Abstract In Lake Simcoe (Ontario, Canada), anthropogenic phosphorus (P) loads have contributed to increased algal growth, low hypolimnetic dissolved oxygen concentrations, and impaired fish reproduction. Management targets to control eutrophication require an ambitious programme to reduce P loads to the lake. Remediation strategies rely upon an improved understanding of P sources and assessment of the effectiveness of different control options. Here we present an application of the integrated catchment model for phosphorus (INCA-P) to examine P sources across the Lake Simcoe watershed and simulate in-lake P concentrations. This is the first application of INCA-P to a complex watershed of this nature and the first to include a lake component. We evaluated a set of management actions to simulate anticipated effects of P reduction strategies on in-lake total phosphorus (TP) concentrations. The INCA-P scenarios show the difficulty of achieving large-scale reductions from the watershed, given the low rates of P export; however, the study shows that a multifaceted strategy, including fertilizer reduction, addition of buffer strips, more stringent controls on sewage treatment plant effluent, and reduced deposition of P to the lake surface, could achieve a 25% reduction in lake-water TP concentrations and produce TP close to the target of 0.01 mg L−1.


Environmental Modelling and Software | 2016

The INtegrated CAtchment model of phosphorus dynamics (INCA-P)

Leah Jackson-Blake; Andrew J. Wade; Martyn N. Futter; D. Butterfield; Raoul-Marie Couture; B. A. Cox; J. Crossman; Petri Ekholm; Sarah J. Halliday; Li Jin; Deborah Lawrence; Ahti Lepistö; Yan Lin; Katri Rankinen; Paul Whitehead

INCA-P is a dynamic, catchment-scale phosphorus model which has been widely applied during the last decade. Since its original release in 2002, the model structure and equations have been significantly altered during several development phases. Here, we provide the first full model description since 2002 and then test the latest version of the model (v1.4.4) in a small rural catchment in northeast Scotland. The particulate phosphorus simulation was much improved compared to previous model versions, whilst the latest sorption equations allowed us to explore the potential time lags between reductions in terrestrial inputs and improvements in surface water quality, an issue of key policy relevance. The model is particularly suitable for use as a research tool, but should only be used to inform policy and land management in data-rich areas, where parameters and processes can be well-constrained. More long-term data is needed to parameterise dynamic models and test their predictions. We describe the latest version of INCA-P, a dynamic catchment phosphorus model.This is the first full description of the model structure and equations since 2002.A test application demonstrates improved model performance.New sorption equations allow the impacts of legacy soil P to be simulated over time.Model applicability and limitations are discussed.


Science of The Total Environment | 2014

Distributed and dynamic modelling of hydrology, phosphorus and ecology in the Hampshire Avon and Blashford Lakes: Evaluating alternative strategies to meet WFD standards

Paul Whitehead; Li Jin; J. Crossman; Sean Comber; Penny J Johnes; Peter Daldorph; N. Flynn; A.L. Collins; D. Butterfield; R. Mistry; R. Bardon; L. Pope; R. Willows

The issues of diffuse and point source phosphorus (P) pollution in the Hampshire Avon and Blashford Lakes are explored using a catchment model of the river system. A multibranch, process based, dynamic water quality model (INCA-P) has been applied to the whole river system to simulate water fluxes, total phosphorus (TP) and soluble reactive phosphorus (SRP) concentrations and ecology. The model has been used to assess impacts of both agricultural runoff and point sources from waste water treatment plants (WWTPs) on water quality. The results show that agriculture contributes approximately 40% of the phosphorus load and point sources the other 60% of the load in this catchment. A set of scenarios have been investigated to assess the impacts of alternative phosphorus reduction strategies and it is shown that a combined strategy of agricultural phosphorus reduction through either fertiliser reductions or better phosphorus management together with improved treatment at WWTPs would reduce the SRP concentrations in the river to acceptable levels to meet the EU Water Framework Directive (WFD) requirements. A seasonal strategy for WWTP phosphorus reductions would achieve significant benefits at reduced cost.


Science of The Total Environment | 2014

Uncertainty assessments and hydrological implications of climate change in two adjacent agricultural catchments of a rapidly urbanizing watershed

Stephen K. Oni; Martyn N. Futter; Lewis A. Molot; Peter J. Dillon; J. Crossman

Lake Simcoe is the most important inland lake in Southern Ontario. The watershed is predominantly agricultural and under increasing pressure from urbanization, leading to changing runoff patterns in rivers draining to the lake. Uncertainties in rainfall-runoff modeling in tributary catchments of the Lake Simcoe Watershed (LSW) can be an order of magnitude larger than pristine watersheds, hampering water quality predictions and export calculations. Here we conduct a robust assessment to constrain the uncertainty in hydrological simulations and projections in the LSW using two representative adjacent agricultural catchments. Downscaled CGCM 3 projections using A1B and A2 emission scenarios projected increases of 4°C in air temperature and a 26% longer growing season. The fraction of precipitation falling as snow will decrease. Spring runoff is an important event in LSW but individual HBV best calibrated parameter sets under-predicted peak flows by up to 32%. Using an ensemble of behavioral parameter sets achieved credible representations of present day hydrology and constrained uncertainties in future projections. Parameter uncertainty analysis showed that the catchments differ in terms of their snow accumulation/melt and groundwater dynamics. Human activities exacerbate the differences in hydrological response. Model parameterization in one catchment could not generate credible hydrological simulations in the other. We cautioned against extrapolating results from monitored to ungauged catchments in managed watersheds like the LSW.


PLOS ONE | 2013

The Significance of Shifts in Precipitation Patterns: Modelling the Impacts of Climate Change and Glacier Retreat on Extreme Flood Events in Denali National Park, Alaska

J. Crossman; Martyn N. Futter; Paul Whitehead

In glacier-fed systems climate change may have various effects over a range of time scales, including increasing river discharge, flood frequency and magnitude. This study uses a combination of empirical monitoring and modelling to project the impacts of climate change on the glacial-fed Middle Fork Toklat River, Denali National Park, Alaska. We use a regional calibration of the model HBV to account for a paucity of long term observed flow data, validating a local application using glacial mass balance data and summer flow records. Two Global Climate Models (HADCM3 and CGCM2) and two IPCC scenarios (A2 and B2) are used to ascertain potential changes in meteorological conditions, river discharge, flood frequency and flood magnitude. Using remote sensing methods this study refines existing estimates of glacial recession rates, finding that since 2000, rates have increased from 24m per year to 68.5m per year, with associated increases in ablation zone ice loss. GCM projections indicate that over the 21st century these rates will increase still further, most extensively under the CGCM2 model, and A2 scenarios. Due to greater winter precipitation and ice and snow accumulation, glaciers release increasing meltwater quantities throughout the 21st century. Despite increases in glacial melt, results indicate that it is predominantly precipitation that affects river discharge. Three of the four IPCC scenarios project increases in flood frequency and magnitude, events which were primarily associated with changing precipitation patterns, rather than extreme temperature increases or meltwater release. Results suggest that although increasing temperatures will significantly increase glacial melt and winter baseflow, meltwater alone does not pose a significant flood hazard to the Toklat River catchment. Projected changes in precipitation are the primary concern, both through changing snow volumes available for melt, and more directly through increasing catchment runoff.

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Martyn N. Futter

Swedish University of Agricultural Sciences

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Li Jin

State University of New York at Cortland

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Stephen K. Oni

Swedish University of Agricultural Sciences

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Helen M. Baulch

University of Saskatchewan

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Dt Monteith

University College London

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Martin Kernan

University College London

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