Water quality, agricultural policy and science

2002 ◽  
Vol 14 (4) ◽  
pp. 109-125 ◽  
Author(s):  
Rajeswari Sarala Raina ◽  
Sunita Sangar
2010 ◽  
Vol 61 (10) ◽  
pp. 2689-2697 ◽  
Author(s):  
Ioanna Mouratiadou ◽  
Graham Russell ◽  
Cairistiona Topp ◽  
Kamel Louhichi ◽  
Dominic Moran

Selecting cost-effective measures to regulate agricultural water pollution to conform to the Water Framework Directive presents multiple challenges. A bio-economic modelling approach is presented that has been used to explore the water quality and economic effects of the 2003 Common Agricultural Policy Reform and to assess the cost-effectiveness of input quotas and emission standards against nitrate leaching, in a representative case study catchment in Scotland. The approach combines a biophysical model (NDICEA) with a mathematical programming model (FSSIM-MP). The results indicate only small changes due to the Reform, with the main changes in farmers' decision making and the associated economic and water quality indicators depending on crop price changes, and suggest the use of target fertilisation in relation to crop and soil requirements, as opposed to measures targeting farm total or average nitrogen use.


Water ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 606 ◽  
Author(s):  
Amirreza Sharifi ◽  
Sangchul Lee ◽  
Gregory McCarty ◽  
Megan Lang ◽  
Jaehak Jeong ◽  
...  

The Agricultural Policy/Environmental eXtender (APEX) model has been widely used to assess changes in agrochemical loadings in response to conservation and management led by US Department of Agriculture (USDA). However, the existing APEX model is limited in quantification of wetland water quality functions. This study improved the current model capacity to represent wetland water quality functions by addition of a new biogeochemical module into the APEX model. The performance of an enhanced APEX model was tested against five observed outgoing water quality variables (e.g., sediment, organic N, NO3, NH4 and PO4) from a wetland within the Eastern Shore of Maryland. Generalized Likelihood Uncertainty Estimation (GLUE) was implemented to assess model uncertainty. The enhanced APEX model demonstrated that it could effectively represent N and P cycling within the study wetland. Although improvement of model performance was limited, the additions of wetland biogeochemical routines to the APEX model improved our understanding of inner mass exchanges within N and P cycling for the study wetland. Overall, the updated APEX model can provide policymakers and managers with improved means for assessment of benefits delivered by wetland conservation.


2020 ◽  
Vol 1 (41) ◽  
pp. 125-132
Author(s):  
S.G. KHANMAGOMEDOV ◽  
◽  
N.G. GASANOV ◽  
N.A. ULCHIBEKOVA ◽  
◽  
...  

Sign in / Sign up

Export Citation Format

Share Document