Coupled DSSAT-SWAT models to reduce off-site N pollution in Mediterranean irrigated watershed

2020 ◽  
Vol 745 ◽  
pp. 141000
Author(s):  
W. Malik ◽  
M.-T. Jiménez-Aguirre ◽  
F. Dechmi
Keyword(s):  
2020 ◽  
Vol 713 ◽  
pp. 136596 ◽  
Author(s):  
Maria do Rosário Cameira ◽  
Rick Li ◽  
David Fangueiro

2020 ◽  
Vol 9 (3) ◽  
Author(s):  
Stephen Kamau ◽  
Alejandro Belanche ◽  
Teri Davies ◽  
Pauline Rees Stevens ◽  
Mike Humphreys ◽  
...  
Keyword(s):  

Clay Minerals ◽  
2018 ◽  
Vol 53 (3) ◽  
pp. 505-514
Author(s):  
Kaihua Chen ◽  
Jiannan Pei ◽  
Shaohua Yin ◽  
Shiwei Li ◽  
Jinhui Peng ◽  
...  

ABSTRACTThe present study investigates the use of magnesium sulfate (MgSO4) instead of (NH4)2SO4 as a lixiviant in the recovery of rare earth elements (REEs) from clays. Experiments were carried out to investigate the influence of leaching conditions such as leaching time, lixiviant concentration and liquid:solid ratio on the leaching efficiency. The optimum leaching conditions, leading to 75.48% of total REE leaching efficiency, required a stirring speed of 500 rpm, a leaching time of 30 min, a lixiviant concentration of 3 wt.% and a liquid:solid ratio of 3:1. After extension of the leaching process by a second stage, the leaching efficiency may reach up to 96.19%, which is slightly higher than that obtained by (NH4)2SO4. Leaching varies from element to element, with Ce presenting the lowest leaching efficiency, and the partition in leaching solution is in agreement with that in raw ore other than for Ce. Based on these findings, MgSO4 lixiviant is an excellent alternative leaching agent for a sustainable REE industry because it reduces or eliminates NH4+–N pollution.


2008 ◽  
Vol 88 (4) ◽  
pp. 611-615 ◽  
Author(s):  
S M McGinn ◽  
T. Coates ◽  
T K Flesch ◽  
B. Crenna

It is recognized that volatilized ammonia (NH3) from intensive livestock production can be a significant pathway for nitrogen (N) pollution to land and water, and can contribute to poor air quality. The objectives of our study were to document NH3 emissions from a dairy lagoon and to assess the influence of meteorology on NH3 emissions. Ammonia emissions were determined using a backward Lagrangian Stochastic approach using WindTrax software, an open-path NH3 laser and a sonic anemometer. Results indicate that an average 5.1 ± 1.6 g NH3 m-2 d-1 was released over the summer; however, the emission varied typically over 24 h between 3.6 and 8.6 g NH3 m-2 d-1. Wind speed and surface temperature of the lagoon had similar influences on the magnitude of the release, where their direct impact on NH3 emission accounted for 28 and 31% of the variability, respectively. The main implication of this study is that NH3 losses are significant from dairy lagoons, contributing to the issue of N pollution. As well, NH3 emissions are a loss of valuable N for manure used as fertilizer, which in our study amounted to approximately 13% of the total ammoniacal N content of the manure in the lagoon. Key words: Ammonia, dairy, manure, cattle, dispersion model


2002 ◽  
Vol 2002 ◽  
pp. 106-106
Author(s):  
E. Kebreab ◽  
J.A.N. Mills ◽  
L.A. Crompton ◽  
J. France

Agriculture is one of the major sources of nitrogen (N) pollution. Dairy production causes losses of N in faeces and urine that contribute to environmental pollution with an estimated annual output of 320 kt N and 80 kt ammonia in the U.K. alone. Therefore, improving N utilization in dairy cows and especially reducing N output in excreta is desirable to reduce environmental N pollution, particularly as ammonia. Mathematical models have been used to predict potential N excretion from dairy cows. However, these models generally are empirical in nature, hence not process based and therefore there is a need to develop a model that can describe biological processes in the animal. The objective of the present study was to develop a dynamic N model to predict the amount and form of N excreted by dairy herds and seek to make appropriate recommendations that will reduce N excretion from dairy cows.


2002 ◽  
Vol 21 (4) ◽  
pp. 634-650 ◽  
Author(s):  
Michael E. Spada ◽  
Neil H. Ringler ◽  
Steven W. Effler ◽  
David A. Matthews

2018 ◽  
Vol 229 (3) ◽  
Author(s):  
Martin Novak ◽  
Marketa Stepanova ◽  
Frantisek Buzek ◽  
Ivana Jackova ◽  
Jan Curik ◽  
...  

2006 ◽  
Vol 145 (1) ◽  
pp. 81-86 ◽  
Author(s):  
A. B. PLEASANTS ◽  
P. R. SHORTEN ◽  
G. C. WAKE

Intensive agricultural production practices are known to cause far-reaching effects on water quality. The current paper addresses and quantifies these effects caused by high stocking rates.A set of stochastic difference equations describing the development of the proportion of a grazed field either unaffected by urine deposition, or affected by multiple (1, 2, …) urine depositions is described. A solution to this set of equations is found for the expected value of multiple (0, 1, 2, …) urine depositions, and the variances of these depositions. It is assumed that an animal voids urine with a Poisson probability distribution, and that each urine deposition covers a random area with a Gaussian probability density. Given these reasonable assumptions, the probability distributions for each multiplicity of patch distribution can be found numerically.The utility of the results obtained is illustrated for a problem in assessing the nitrogen (N) pollution of ground water from different grazing strategies. It is demonstrated quantitatively that mob stocking (typical of winter management regimes in New Zealand) is often caused by rotational grazing. The latter is often used to optimize grass growth and intake, especially in winter. This increases (more than linearly) the level of N pollution in ground water. This is because of the increased frequency of multiple urine depositions, i.e. more than one urine deposition on the same patch of land in a short time.


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