scholarly journals Estimation of CN Parameter for Small Agricultural Watersheds Using Asymptotic Functions

Water ◽  
2015 ◽  
Vol 7 (12) ◽  
pp. 939-955 ◽  
Author(s):  
Tomasz Kowalik ◽  
Andrzej Walega
2002 ◽  
Vol 31 (1) ◽  
pp. 62 ◽  
Author(s):  
Gerald Matisoff ◽  
Everett C. Bonniwell ◽  
Peter J. Whiting

2003 ◽  
Vol 34 (5) ◽  
pp. 531-542 ◽  
Author(s):  
Arvo lital ◽  
Enn Loigu ◽  
Nils Vagstad

The paper deals with nutrient runoff monitoring results and calculated nutrient budgets on catchment level in small agricultural watersheds in Estonia. A special programme for monitoring of nutrient losses was initiated and a network of monitoring stations, equipped with data-loggers and suitable devices for continuous flow measurement and flow-proportional automatic water sampling were established in Estonia in the mid-1990s. The research methodology is harmonized with the Nordic countries as well as with the other Baltic countries. The results indicate that nutrients losses are relatively low (generally below 11 kg N/ha and 0.9 kg P/ha). It can be partly explained by drastic changes in the Estonian agricultural practice in the 1990s but also by differences in runoff regime. Nutrient balances were calculated for two catchments, based on the data collected from the farms, some special studies and water quality monitoring results in two watersheds in 1995 (1999) - 2001. The nutrient balances for the catchments turned positive after being negative both for nitrogen and phosphorus in the mid-1990s.


1977 ◽  
Vol 12 (1) ◽  
pp. 121-134 ◽  
Author(s):  
G.H. Neilsen ◽  
A.F. Mackenzie

Abstract Seven agricultural watersheds in southwestern Quebec and southeastern Ontario, ranging in area from 2,000 to 20,000 hectares, were monitored systematically during 1973–75 for soluble inorganic nitrogen, total soluble phosphorus, calcium, magnesium, potassium, sulfate-sulfur, chemical oxidation demand, discharge, suspended sediment concentration, sediment Kjeldahl nitrogen, Bray extractable phosphorus, and ammonium acetate extractable calcium, magnesium and potassium. For 1974–75, annual Kg/ha, loss rates were calculated for the soluble and sediment associated nutrients. Losses varied with nutrient and watershed, with volume of runoff being an important control of nutrient loss variation. Significant amounts of SO4−S in precipitation were suggested by an average watershed soluble N:P:S loss ratio of 10:1:92. Sediment nutrient losses were especially important for N and P, comprising over 40% of their total loss. The importance of spring snow-melt runoff was demonstrated by the high proportion of all nutrients lost at this time. Correlations of nutrient loss, land use and soils suggested that certain land uses resulted in increased stream nutrient losses while increased watershed area of soils with a high surface runoff potential was particularly conducive to increased soluble nutrient and sediment losses.


2016 ◽  
Author(s):  
Ben G. Bruening ◽  
◽  
Catherine O'Reilly ◽  
Victoria E. Heath ◽  
Shalamar D. Armstrong ◽  
...  

2005 ◽  
Vol 55 (4) ◽  
pp. 467-484 ◽  
Author(s):  
Christopher L. Lant ◽  
Steven E. Kraft ◽  
Jeffrey Beaulieu ◽  
David Bennett ◽  
Timothy Loftus ◽  
...  

Author(s):  
Silvio J. Gumiere ◽  
Alain N. Rousseau ◽  
Dennis W. Hallema ◽  
Pierre-Erik Isabelle

2008 ◽  
Vol 95 (10) ◽  
pp. 1111-1128 ◽  
Author(s):  
J. Casalí ◽  
R. Gastesi ◽  
J. Álvarez-Mozos ◽  
L.M. De Santisteban ◽  
J. Del Valle de Lersundi ◽  
...  

2017 ◽  
Vol 21 (7) ◽  
pp. 3483-3506 ◽  
Author(s):  
Marcos R. C. Cordeiro ◽  
Henry F. Wilson ◽  
Jason Vanrobaeys ◽  
John W. Pomeroy ◽  
Xing Fang ◽  
...  

Abstract. Etrophication and flooding are perennial problems in agricultural watersheds of the northern Great Plains. A high proportion of annual runoff and nutrient transport occurs with snowmelt in this region. Extensive surface drainage modification, frozen soils, and frequent backwater or ice-damming impacts on flow measurement represent unique challenges to accurately modelling watershed-scale hydrological processes. A physically based, non-calibrated model created using the Cold Regions Hydrological Modelling platform (CRHM) was parameterized to simulate hydrological processes within a low slope, clay soil, and intensively surface drained agricultural watershed. These characteristics are common to most tributaries of the Red River of the north. Analysis of the observed water level records for the study watershed (La Salle River) indicates that ice cover and backwater issues at time of peak flow may impact the accuracy of both modelled and measured streamflows, highlighting the value of evaluating a non-calibrated model in this environment. Simulations best matched the streamflow record in years when peak and annual discharges were equal to or above the medians of 6.7 m3 s−1 and 1.25  × 107 m3, respectively, with an average Nash–Sutcliffe efficiency (NSE) of 0.76. Simulation of low-flow years (below the medians) was more challenging (average NSE  <  0), with simulated discharge overestimated by 90 % on average. This result indicates the need for improved understanding of hydrological response in the watershed under drier conditions. Simulation during dry years was improved when infiltration was allowed prior to soil thaw, indicating the potential importance of preferential flow. Representation of in-channel dynamics and travel time under the flooded or ice-jam conditions should also receive attention in further model development efforts. Despite the complexities of the study watershed, simulations of flow for average to high-flow years and other components of the water balance were robust (snow water equivalency (SWE) and soil moisture). A sensitivity analysis of the flow routing model suggests a need for improved understanding of watershed functions under both dry and flooded conditions due to dynamic routing conditions, but overall CRHM is appropriate for simulation of hydrological processes in agricultural watersheds of the Red River. Falsifications of snow sublimation, snow transport, and infiltration to frozen soil processes in the validated base model indicate that these processes were very influential in stream discharge generation.


2017 ◽  
Vol 46 (4) ◽  
pp. 828-835 ◽  
Author(s):  
Keith E. Schilling ◽  
Sea-Won Kim ◽  
Christopher S. Jones ◽  
Calvin F. Wolter

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