Eutrophication control in river-systems: an application of INCA-P to the River Lugg

Wade, Andrew J.; Butterfield, D.; Griffiths, T.J.; Whitehead, Paul

doi:10.5194/hess-11-584-2007

Cited by 24 publications

(38 citation statements)

References 13 publications

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“…A full description of INCA-P, including process equations used, appeared in Wade et al (2002a) and an initial application is reported in Wade et al (2007). Only those parts relevant to this study are described herein.…”

Section: 2mentioning

confidence: 99%

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Uncertainty assessment of a process-based integrated catchment model of phosphorus

Dean

Freer

Beven

et al. 2008

Stoch Environ Res Risk Assess

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Despite the many models developed for phosphorus concentration prediction at differing spatial and temporal scales, there has been little effort to quantify uncertainty in their predictions. Model prediction uncertainty quantification is desirable, for informed decisionmaking in river-systems management. An uncertainty analysis of the process-based model, integrated catchment model of phosphorus (INCA-P), within the generalised likelihood uncertainty estimation (GLUE) framework is presented. The framework is applied to the Lugg catchment (1,077 km 2 ), a River Wye tributary, on the England-Wales border. Daily discharge and monthly phosphorus (total reactive and total), for a limited number of reaches, are used to initially assess uncertainty and sensitivity of 44 model parameters, identified as being most important for discharge and phosphorus predictions. This study demonstrates that parameter homogeneity assumptions (spatial heterogeneity is treated as land use type fractional areas) can achieve higher model fits, than a previous expertly calibrated parameter set. The model is capable of reproducing the hydrology, but a threshold Nash-Sutcliffe co-efficient of determination (E or R 2 ) of 0.3 is not achieved when simulating observed total phosphorus (TP) data in the upland reaches or total reactive phosphorus (TRP) in any reach. Despite this, the model reproduces the general dynamics of TP and TRP, in point source dominated lower reaches. This paper discusses why this application of INCA-P fails to find any parameter sets, which simultaneously describe all observed data acceptably. The discussion focuses on uncertainty of readily available input data, and whether such process-based models should be used when there isn't sufficient data to support the many parameters.

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Section: 2mentioning

confidence: 99%

“…A parameter set derived by the model developers, using expert calibration (i.e. manual changing of parameters) of INCA-P to the Lugg catchment, is used as a benchmark for comparing the results obtained from this GLUE analysis (Wade et al , 2007.…”

Section: 2mentioning

confidence: 99%

Uncertainty assessment of a process-based integrated catchment model of phosphorus

Dean

Freer

Beven

et al. 2008

Stoch Environ Res Risk Assess

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“…Many lakes have created serious eutrophication problems after the rapid economic development in foreign countries, so foreign countries started earlier in lake eutrophication control (Wade et al, 2007). As a result, these polluted lakes all recover well after a long period of using a "pollution first, treatment later" governance model.…”

Section: Strategies For Water Pollution Control Abroadmentioning

confidence: 99%

Temporal and spatial changes of water quality and management strategies of Dianchi Lake in southwest China

Zhang

Zeng

Wang

et al. 2014

Hydrol. Earth Syst. Sci.

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Abstract. Temporal and spatial changes to the water quality of Dianchi Lake in southwest China were investigated using monthly monitoring data from 2005 to 2012. Dianchi Lake is divided into two parts, Caohai Lake and Waihai Lake, by a man-made dike. Caohai Lake lies at the north of Dianchi Lake, while Waihai Lake is the main water body of Dianchi Lake and accounts for 96.7 % of the whole area of the lake. Based on the analysis of total phosphorus (TP), total nitrogen (TN), and chlorophyll a (Chl a) concentrations, it was determined that, in Caohai Lake, the annual concentrations of these variables ranged from 0.19-1.46 mg L −1 , 6.11-16.79 mg L −1 , 0.06-0.14 mg L −1 , respectively. In addition, the annual concentrations of TP, TN and Chl a in Waihai Lake ranged between 0.13 and 0.20 mg L −1 , 1.82 and 3.01 mg L −1 , and 0.04 and 0.09 mg L −1 , respectively. Cluster analysis (CA) classified the 10 monitoring sites into two clusters (cluster A and cluster B) based on similarities of water quality characteristics. Our data revealed that the current status of water quality within Caohai Lake was much worse than that of Waihai Lake. Water quality was seriously degraded during the economic boom near the period of the "Eleventh Five-Year Plan" (2005)(2006)(2007)(2008)(2009)(2010), and gradually improved from 2010 to 2012 because of the "standard emission directive to industry". The main factors that influenced the spatial and temporal changes to water quality were natural factors including lake evolution and regional characteristic as well as human factors such as pollution load into the lake and management strategies that were already adopted. Some activities and regulations were implemented to enhance the lake environment by controlling wastewater emissions and establishing regulations to protect the lakes in the Yunnan Province. However, problems with institutional fragmentation (horizontal and vertical), simple treatment methods, low-intensity investment in pollution control, and lack of meaningful endogenous pollution control strategies were still present in the lake management strategy. To solve these problems, suitable control measures are needed, especially considering the current old-age status of Dianchi Lake. The fundamental improvement of the water quality within Caohai Lake was dependent on the measures taken in the upper reaches of the Caohai Watershed, including further recovery of submerged plants, resource utilization by floating plants and the reinforcement of sediment disposal. Management strategies for endogenous pollution in Waihai Lake were mainly dependent on restocking algae-eating fish and the ecological restoration of macrophytes. In this way, the swamping trend and the ageing process that is occurring in Dianchi Lake can be stunted. And the management strategies would be a contribution to the management of water conflicts between mankind and ecosystems in similar lakes.

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“…However, the information is very scarce for the P process. The observed P uptake rate for different crops and grassland for the catchments of UK and USA as reported in Wade et al (2007) has been used as a guide for determining P uptake rate. The details of the input parameters are also provided in Table 4.…”

Section: Model Setupmentioning

confidence: 99%

A Sub-Catchment Based Approach for Modelling Nutrient Dynamics and Transport at a River Basin Scale

Alam

Dutta

2016

Water Resour Manage

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The prediction of nutrient pollution at realistic details is difficult due to lack of proper description of inherent processes in modelling tools. To overcome that this study has adopted a process based approach to build a semi-distributed model to simulate nutrient pollution in changing environment. The model was built to describe: (1) nutrient generation process in the catchment with consideration of different aspects of external and internal sources, (2) nutrient release from surface to the waterways via runoff and soil erosion, and (3) in-stream transport and chemical reaction process. The key novelty of this research is the linking of the nutrient generation process with transport mechanism for modelling nutrient dynamics at a basin scale. A flow capacity based approach was introduced to determine nutrient export from catchment to the waterways, which was useful to achieve the high resolution outputs from the model. The model performed reasonably well to represent the behaviour of nutrient in high flow events as well as in seasonal flow in two catchments located in distinct hydro-climatic regions. The study has shown that the nutrient model is suitable for predicting actual nutrient pollution in rivers for both high flow and seasonal flow under different hydro-climatic conditions. By simulating organic and inorganic nutrients separately, the model allows to estimate river water quality status in detail.

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Eutrophication control in river-systems: an application of INCA-P to the River Lugg

Cited by 24 publications

References 13 publications

Uncertainty assessment of a process-based integrated catchment model of phosphorus

Uncertainty assessment of a process-based integrated catchment model of phosphorus

Temporal and spatial changes of water quality and management strategies of Dianchi Lake in southwest China

A Sub-Catchment Based Approach for Modelling Nutrient Dynamics and Transport at a River Basin Scale

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