Impact of spatial rainfall variability on hydrology and nonpoint source pollution modeling

Shen, Zhenyao; Lei, Chen; Qian, Lei; Liu, Ruimin; Qian, Hong

doi:10.1016/j.jhydrol.2012.09.019

Cited by 75 publications

(54 citation statements)

References 65 publications

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“…The secondary goal is to analyse the effect of certain catchment properties in order to explain the between-catchment differences in results. Even though there exists a body of literature on this topic (e.g., [22,23,[25][26][27][28]), our study brings certain improvements in methodological design, by combining simultaneously the following features:…”

Section: Introductionmentioning

confidence: 99%

Improvement of Hydrological Simulations by Applying Daily Precipitation Interpolation Schemes in Meso-Scale Catchments

Szcześniak

Piniewski

2015

Water

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Abstract:Ground-based precipitation data are still the dominant input type for hydrological models. Spatial variability in precipitation can be represented by spatially interpolating gauge data using various techniques. In this study, the effect of daily precipitation interpolation methods on discharge simulations using the semi-distributed SWAT (Soil and Water Assessment Tool) model over a 30-year period is examined. The study was carried out in 11 meso-scale (119-3935 km 2 ) sub-catchments lying in the Sulejów reservoir catchment in central Poland. Four methods were tested: the default SWAT method (Def) based on the Nearest Neighbour technique, Thiessen Polygons (TP), Inverse Distance Weighted (IDW) and Ordinary Kriging (OK). =The evaluation of methods was performed using a semi-automated calibration program SUFI-2 (Sequential Uncertainty Fitting Procedure Version 2) with two objective functions: Nash-Sutcliffe Efficiency (NSE) and the adjusted R 2 coefficient (bR 2 ). The results show that: (1) the most complex OK method outperformed other methods in terms of NSE; and (2) OK, IDW, and TP outperformed Def in terms of bR 2 . The median difference in daily/monthly NSE between OK and Def/TP/IDW calculated across all catchments ranged between 0.05 and 0.15, while the median difference between TP/IDW/OK and Def ranged between 0.05 and 0.07. The differences between pairs of interpolation methods were, however, spatially variable and a part of this variability was attributed to catchment properties: catchments characterised by low station density and low OPEN ACCESSWater 2015, 7 748 coefficient of variation of daily flows experienced more pronounced improvement resulting from using interpolation methods. Methods providing higher precipitation estimates often resulted in a better model performance. The implication from this study is that appropriate consideration of spatial precipitation variability (often neglected by model users) that can be achieved using relatively simple interpolation methods can significantly improve the reliability of model simulations.

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Section: Introductionmentioning

confidence: 99%

Improvement of Hydrological Simulations by Applying Daily Precipitation Interpolation Schemes in Meso-Scale Catchments

Szcześniak

Piniewski

2015

Water

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“…Eutrophication, in terms of algae blooms, has increased eightfold in the TGRA since 1990, and a particular emphasis has been placed on NPS-P. In our previous studies (Gong et al, 2011;Shen et al, 2012Shen et al, , 2013, the upstream areas of the Wuxi station (labeled as AP-1 in this research) have served as a study area. For the purpose of comparison, both of the upstream areas of AP-1 and the watershed outlet (labeled as AP-2) were selected as the study area (Fig.…”

Section: Study Watershed Descriptionmentioning

confidence: 99%

“…In our previous studies (Shen et al, 2012(Shen et al, , 2013(Shen et al, , 2008(Shen et al, , 2010), the SWAT model was applied in the Daning River watershed to quantify the pollutant loads released from each subwatershed. In this research, the flow and P yields were obtained from our constructed SWAT model.…”

Section: The Targeting Of Upstream Pmasmentioning

confidence: 99%

“…For loose modeling, the SWAT results were used as model inputs to the river process model (Wu et al, 2006). More information about these two models and the calibration processes can be obtained from our related studies (Shen et al, 2012(Shen et al, , 2013(Shen et al, , 2008(Shen et al, , 2010. Following model calibration (Gong et al, 2011;Shen et al, 2012Shen et al, , 2013, a 10-year modeling period was performed to isolate climate change and land use change.…”

Section: The Targeting Of Upstream Pmasmentioning

confidence: 99%

“…First, there was a general trend of reduced agricultural areas from upstream to downstream in the Daning watershed. This trend implied reduced P loss potentials among those downstream areas because agricultural lands generally induce a greater impact on the export of P than other land uses (Whitehead et al, 2007;Gong et al, 2011;Shen et al, 2012Shen et al, , 2013. Second, the upstream P concentrations have been diluted during the transport process because of the long hydrological residence time within the downstream river network (Arheimer and Brandt, 2000;Bae and Ha, 2006;Zhou and Gao, 2011).…”

Section: The Comparison Between the Map-pma And Traditional Targetingmentioning

confidence: 99%

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Upstream to downstream: a multiple-assessment-point approach for targeting non-point-source priority management areas at large watershed scale

Chen

Zhong

Wei

et al. 2014

Hydrol. Earth Syst. Sci.

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Abstract. The identification of priority management areas (PMAs) is essential for the control of non-point-source (NPS) pollution, especially for a large-scale watershed. However, previous studies have typically focused on small-scale catchments adjacent to specific assessment points; thus, the interactions between multiple river points remain poorly understood. In this study, a multiple-assessment-point PMA (MAP-PMA) framework was proposed by integrating the upstream sources and the downstream transport aspects of NPS pollution. Daning River watershed was taken as a case study in this paper, which has demonstrated that the integration of the upstream input changes was vital for the final PMAs map, especially for downstream areas. Contrary to conventional wisdom, this research recommended that the NPS pollutants could be best controlled among the upstream highlevel PMAs when protecting the water quality of the entire watershed. The MAP-PMA framework provided a more costeffective tool for the establishment of conservation practices, especially for a large-scale watershed.

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Development of an integrated modeling approach for identifying multilevel non-point-source priority management areas at the watershed scale

et al. 2014

Self Cite

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The identification of priority management areas (PMAs) at the large-basin scale is notably complex because of the random nature of watershed processes, which complicates the application of traditional deterministic PMAs. In this study, a multilevel PMA (ML-PMA) framework is designed as a new tool to pinpoint these sensitive areas, within a basin, that contribute the most to water quality deterioration. The main advantage of the ML-PMA framework is the wide availability of its supplementary tools and its complete framework, which integrates both watershed and river processes in addressing PMAs at the watershed scale. The watershed model, stream model, and a Markov chain approach are integrated to depict the dynamics of watershed processes and various water quality statutes. Based on the results of this study, the river migration process is vital for water quality degradation in the river network and significantly influenced the final PMA map. In addition, the proposed ML-PMA framework considers the impact of climatic conditions and hydrological properties and allows for a more cost-effective allocation of PMAs among different years. In the authors' view, the connectivity of PMAs in terms of flux distribution and propagation downstream on which the ML-PMA is based makes the ML-PMA framework particularly interesting for watershed non-point-source pollution control.

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Impact of spatial rainfall variability on hydrology and nonpoint source pollution modeling

Cited by 75 publications

References 65 publications

Improvement of Hydrological Simulations by Applying Daily Precipitation Interpolation Schemes in Meso-Scale Catchments

Improvement of Hydrological Simulations by Applying Daily Precipitation Interpolation Schemes in Meso-Scale Catchments

Upstream to downstream: a multiple-assessment-point approach for targeting non-point-source priority management areas at large watershed scale

Development of an integrated modeling approach for identifying multilevel non-point-source priority management areas at the watershed scale

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