New insight into the correlations between land use and water quality in a coastal watershed of China: Does point source pollution weaken it?

Pei, Zhou; Huang, Jinliang; Pontius, Robert Gilmore; Hong, Huasheng

doi:10.1016/j.scitotenv.2015.11.063

Cited by 215 publications

(157 citation statements)

References 41 publications

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“…Our results agreed well with previous findings that impervious surfaces, which we interpret as a proxy for urban activities including sewage disposal, were the most important drivers of nutrient concentrations, whereas water surfaces accounted for a substantial proportion of the nutrient sinks (Mouri et al, 2011;Wan et al, 2014;Wang et al, 2014;Zhao et al, 2015;Zhou et al, 2016). The highlight of this manuscript is that we include paddy rice field into analysis, and we found that paddy rice is an important nutrient source.…”

Section: Nutrient Export and Land-use Effectssupporting

confidence: 91%

Linking river nutrient concentrations to land use and rainfall in a paddy agriculture–urban area gradient watershed in southeast China

Xia

She

et al. 2016

Science of The Total Environment

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Section: Nutrient Export and Land-use Effectssupporting

confidence: 91%

Linking river nutrient concentrations to land use and rainfall in a paddy agriculture–urban area gradient watershed in southeast China

Xia

She

et al. 2016

Science of The Total Environment

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“…SUFI-2 is based on a stochastic procedure for drawing independent parameter sets using Latin Hypercube sampling (LHS). An initial pre-selection of parameters based on literature research (Bicknell et al, 1997;Wang et al, 2006;Rafiei Emam et al, 2016;Ha et al, 2017;Lopez Lopez et al, 2017) parameter ranges were based on Neitsch et al(2002Neitsch et al( , 2005Neitsch et al( , 2011. Furthermore, a global sensitivity analysis based on multiple regression method (Abbaspour, 2015) was carried out in which parameter sensitivities are determined by numerous rounds of LHS (each comprising of 1000 simulations) to obtain the most sensitive parameters by examining the resulting pvalue and the t-stat value.…”

Section: Swat Calibration Validation and Uncertainty Analysismentioning

confidence: 99%

Multi-site calibration and validation of SWAT with satellite-based evapotranspiration in a data sparse catchment in southwestern Nigeria

Odusanya¹,

Mehdi²,

Schürz³

et al. 2018

Preprint

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comparing the simulated AET of the calibrated model to GLEAM_v3.0b AET, this is a product that has a different forcing 30 data to version of GLEAM used for the calibration, and (ii) assessing the long-term average annual and average monthly water balances at the outlet of the watershed. Overall, the SWAT model structure composed of Hargreaves PET equation and calibrated using the GLEAM_v3.0a data performed well for the simulation of AET and provided a good level of confidence for using the SWAT model as a decision support tool. The 95% uncertainty of the SWAT simulated variable bracketed most

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“…Mean annual precipitation in the watershed from 2004 to 2013 was 1,532 mm (Met Office, n.d.). Potential evapotranspiration (PET) was calculated with the r (R Core Team, 2015) package 'Evapotranspiration' Penman Monteith formula for short grass (Guo & Westra, 2016) using data from a representative weather station ( Figure 2; Data S1) and read into the SWAT model (Neitsch, Arnold, Kiniry, & Williams, 2011). This resulted in the mean watershed PET being within estimates for the location and land cover type (based on Nisbet, 2005).…”

Section: West Wales River Basin and Model Descriptionmentioning

confidence: 99%

Soil & Water Assessment Tool (SWAT) simulated hydrological impacts of land use change from temperate grassland to energy crops: A case study in western UK

et al. 2019

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When considering the large‐scale deployment of bioenergy crops, it is important to understand the implication for ecosystem hydrological processes and the influences of crop type and location. Based on the potential for future land use change (LUC), the 10,280 km2 West Wales Water Framework Directive River Basin District (UK) was selected as a typical grassland dominated district, and the Soil & Water Assessment Tool (SWAT) hydrology model with a geographic information systems interface was used to investigate implications for different bioenergy deployment scenarios. The study area was delineated into 855 sub‐basins and 7,108 hydrological response units based on rivers, soil type, land use, and slope. Changes in hydrological components for two bioenergy crops (Miscanthus and short rotation coppice, SRC) planted on 50% (2,192 km2) or 25% (1,096 km2) of existing improved pasture are quantified. Across the study area as a whole, only surface run‐off with SRC planted at the 50% level was significantly impacted, where it was reduced by up to 23% (during April). However, results varied spatially and a comparison of annual means for each sub‐basin and scenario revealed surface run‐off was significantly decreased and baseflow significantly increased (by a maximum of 40%) with both Miscanthus and SRC. Evapotranspiration was significantly increased with SRC (at both planting levels) and water yield was significantly reduced with SRC (at the 50% level) by up to 5%. Effects on streamflow were limited, varying between −5% and +5% change (compared to baseline) in the majority of sub‐basins. The results suggest that for mesic temperate grasslands, adverse effects from the drying of soil and alterations to streamflow may not arise, and with surface run‐off reduced and baseflow increased, there could, depending on crop location, be potential benefits for flood and erosion mitigation.

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New insight into the correlations between land use and water quality in a coastal watershed of China: Does point source pollution weaken it?

Cited by 215 publications

References 41 publications

Linking river nutrient concentrations to land use and rainfall in a paddy agriculture–urban area gradient watershed in southeast China

Linking river nutrient concentrations to land use and rainfall in a paddy agriculture–urban area gradient watershed in southeast China

Multi-site calibration and validation of SWAT with satellite-based evapotranspiration in a data sparse catchment in southwestern Nigeria

Soil & Water Assessment Tool (SWAT) simulated hydrological impacts of land use change from temperate grassland to energy crops: A case study in western UK

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