scholarly journals Particulate PhozzyLogic Index for policy makers—an index for a more accurate and transparent identification of critical source areas

2021 ◽  
Author(s):  
Gerold Hepp ◽  
Eva Strenge ◽  
Matthias Zessner
Keyword(s):  
Critical Source Areas ◽  
Policy Makers ◽  
Source Areas

Predicting critical source areas of sediment in headwater catchments

2013 ◽  
Vol 179 ◽  
pp. 41-52 ◽  
Author(s):  
Joshua Thompson ◽  
Rachel Cassidy ◽  
Donnacha G. Doody ◽  
Ray Flynn
Keyword(s):  
Critical Source Areas ◽  
Headwater Catchments ◽  
Source Areas

Identification of critical source areas under present and projected land use for effective management of diffuse pollutants in an urbanized watershed

2018 ◽  
Vol 17 (2) ◽  
pp. 171-184 ◽  
Author(s):  
Al-amin Danladi Bello ◽  
Mohd Ridza Mohd Haniffah ◽  
Muhammad Nassir Hanapi ◽  
Aliyu Bamaiyi Usman
Keyword(s):  
Land Use ◽  
Effective Management ◽  
Critical Source Areas ◽  
Source Areas

Identifying critical source areas of nonpoint source pollution with SWAT and GWLF

2013 ◽  
Vol 268 ◽  
pp. 123-133 ◽  
Author(s):  
Rewati Niraula ◽  
Latif Kalin ◽  
Puneet Srivastava ◽  
Christopher J. Anderson
Keyword(s):  
Nonpoint Source Pollution ◽  
Nonpoint Source ◽  
Critical Source Areas ◽  
Source Areas

scholarly journals Identification of Critical Source Areas of Nitrogen Load in the Miyun Reservoir Watershed under Different Hydrological Conditions

2020 ◽  
Vol 12 (3) ◽  
pp. 964 ◽  
Author(s):  
Yingzhuang Guo ◽  
Xiaoyan Wang ◽  
Lili Zhou ◽  
Charles Melching ◽  
Zeqi Li
Keyword(s):  
Best Management Practices ◽  
Management Practices ◽  
Swat Model ◽  
Vegetation Coverage ◽  
Left Bank ◽  
Cultivated Land ◽  
Forest Land ◽  
Critical Source Areas ◽  
Source Areas ◽  
Hydrological Conditions

The spatiotemporal distribution of critical source areas (CSAs) will change with hydrological conditions. In this study, the CSAs of nitrogen load under different hydrological conditions in the Chaohe River watershed were identified using the cumulative pollution load curve method determined from the nitrogen pollution simulated using the Soil and Water Assessment Tool (SWAT) model. The results showed that: (1) The order of factors impacting nitrogen load intensity is as follows: fertilization intensity, rainfall, runoff, land use type, slope type, and soil type. (2) The primary and secondary CSAs are concentrated in the upper and lower areas of the watershed, where cultivated land (8.36%) and grassland (52.55%) are more abundant. The potential pollution source areas are concentrated in the upper and middle areas of the watershed, where cultivated land (6.99%), grassland (42.37%), and forest land (48.18%) are evenly distributed. The low-risk source areas are concentrated in the middle and left bank of the watershed, where forest land (67.65%) is dominant and the vegetation coverage is highest. The research results have significance for improving the accuracy of the implementation of best management practices, and can provide a reference for the formulation of drinking water protection policies for Beijing.

Land use and land cover in critical source areas on small dairy farms in the eastern United States

2015 ◽  
Vol 70 (4) ◽  
pp. 257-266 ◽  
Author(s):  
N. R. Jordan ◽  
K. M. Clower ◽  
S. M. Manson ◽  
D. B. Bonsal ◽  
J. L. Immich
Keyword(s):  
United States ◽  
Land Use ◽  
Land Cover ◽  
Dairy Farms ◽  
Eastern United States ◽  
Critical Source Areas ◽  
Source Areas

Identifying non-point source critical source areas based on multi-factors at a basin scale with SWAT

2016 ◽  
Vol 533 ◽  
pp. 379-388 ◽  
Author(s):  
Ruimin Liu ◽  
Fei Xu ◽  
Peipei Zhang ◽  
Wenwen Yu ◽  
Cong Men
Keyword(s):  
Point Source ◽  
Critical Source Areas ◽  
Source Areas ◽  
Basin Scale
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