scholarly journals Danish farmers’ perception of water quality, nutrient reduction measures and their implementation strategy

2015 ◽  
Author(s):  
F. G. Gachango ◽  
L. M. Andersen ◽  
S. M. Pedersen
Keyword(s):  
Water Quality ◽  
Implementation Strategy ◽  
Nutrient Reduction

Water Quality Trades for Nutrient Reduction in the Conestoga Watershed Using a Multi-Credit Trading Framework

2004 ◽  
Vol 2004 (4) ◽  
pp. 1592-1606
Author(s):  
Tara A. Bongiorni Ajello ◽  
John Rogers ◽  
Elise Bacon ◽  
Andrew McElwaine ◽  
Andy Zemba
Keyword(s):  
Water Quality ◽  
Nutrient Reduction

Research on recovery of polluted lakes I. Improved water quality in Lake Boren and Lake Ekoln after nutrient reduction

1978 ◽  
Vol 20 (2) ◽  
pp. 825-832
Author(s):  
C. Forsberg ◽  
S.-O. Ryding ◽  
Å. Forsberg ◽  
A. Claesson
Keyword(s):  
Water Quality ◽  
Nutrient Reduction

Iowa Statewide Stream Nitrate Loading: 2017-2018 Update

2019 ◽  
Vol 126 (1-4) ◽  
pp. 6-12 ◽  
Author(s):  
Christopher S. Jones ◽  
Keith E. Schilling
Keyword(s):  
Water Quality ◽  
Mississippi River ◽  
Best Management Practices ◽  
Management Practices ◽  
Nitrate Nitrogen ◽  
Nitrogen Loading ◽  
Point Sources ◽  
Nutrient Reduction ◽  
Stream Network ◽  
Discharge Data

In response to ongoing hypoxia in the Gulf of Mexico, several states in the Mississippi River basin have adopted nutrient reduction plans in recent years designed to arrest the flow of nitrogen (N) and phosphorus (P) from both point and non-point sources to the stream network. Iowa's Nutrient Reduction Strategy, implemented in 2012, aims to reduce stream loading of these nutrients by 45% within a yet-to-be-defined time frame. Because the state has chosen to integrate accountability into the strategy through the numerical objective, ongoing water monitoring is necessary to credibly measure progress. The primary objective of this research was to use water quality monitoring and discharge data to update statewide nitrate-nitrogen (NO3-N) loading using the combined data sets generated by in situ water quality sensors and traditional grab sample monitoring conducted by state government. Our research shows that the 5-year running annual average of nitrate-nitrogen loading continues to increase, and after the 2018 water year is 73% higher than that calculated in 2003. Loads from Iowa areas draining to the Missouri River are increasing more rapidly than loads from areas draining to the upper Mississippi River: 132% versus 55% since 2003. This shows that best management practices designed to stem the loss of nutrients from the corn-soybean system must be widely adopted and robustly designed for extreme environmental conditions if Iowa is to meet its water quality objectives.

scholarly journals Predicting Lake Eutrophication Responses to Multiple Scenarios of Lake Restoration: A Three-Dimensional Modeling Approach

Water ◽  
2018 ◽  
Vol 10 (8) ◽  
pp. 994 ◽  
Author(s):  
Yanping Wang ◽  
Weiping Hu ◽  
Zhaoliang Peng ◽  
Ye Zeng ◽  
Karsten Rinke
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Three Dimensional ◽  
Water Transfer ◽  
Nutrient Concentrations ◽  
Observation Data ◽  
Nutrient Reduction ◽  
Effective Measure ◽  
The Impact ◽  
Restoration Measures

To improve the water quality and alleviate the eutrophication of Lake Yangchenghu, the third largest freshwater body within the Lake Taihu basin in China and an important source of drinking water, nutrient reduction strategies should be urgently addressed by decision makers, since virtually no improvement of water quality has taken place since the mid-1990s. Due to the lack of sufficient observation data and simulation results, a vertically compressed three-dimensional numerical model, the EcoTaihu model, was used to study the impact of three restoration measures on the water quality—namely, total nitrogen (TN), total phosphorus (TP) and biomass of phytoplankton (BP)—of Lake Yangchenghu: (i) total nutrient reduction, (ii) intensification of flushing by water transfer, and (iii) spatial adjustment of inflow channels. In particular, the spatial effects of the three restoration measures on the water quality were investigated. The results showed that the EcoTaihu model is applicable to other shallow lakes in China. The water quality responses to the different restoration scenarios showed significant spatio-temporal differences. The reduction of nutrient loads from inflows appeared to be the most effective measure for controlling the eutrophication and algal blooms in Lake Yangchenghu. The effectiveness of water transfer on the improvement of water quality for TN and TP was more influenced by the differences of nutrient concentrations between the transferred water and lake water, rather than flow rate, since no proportionate increase of improvement was observable in the case of larger transferred rates (60 m3 s−1). The spatial narrowing of inflowing rivers in the southwestern lake could preferentially improve the water quality in the southern bay of the western lake, but would also result in a deterioration trend of water quality in the total lake and drinking water abstraction areas.

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