scholarly journals The Comparison and Analysis on Optimal Status of Best Management Practice (BMP) Mixed Technique to Reduce Urban Flood Discharge in Tehran District 4

2018 ◽  
Author(s):  
Sorush Niknamian
Keyword(s):  
Management Practice ◽  
Best Management Practice ◽  
Urban Flood ◽  
Best Management ◽  
Flood Discharge ◽  
Comparison And Analysis

scholarly journals The comparison and analysis on optimal status of Best Management Practice (BMP) mixed technique to reduce urban flood discharge in Tehran District 4

2019 ◽  
Author(s):  
Sorush Niknamian
Keyword(s):  
Management Practice ◽  
Curve Number ◽  
Best Management Practice ◽  
Roughness Coefficient ◽  
Urban Flood ◽  
Storm Water Management Model ◽  
Best Management ◽  
Hybrid Techniques ◽  
Flood Discharge ◽  
The Given

Nowadays, damages caused by flood are deemed as one of the important concerns for urban management. This study aims to analyze effects of coefficient of runoff to urban flood using one of the Best Management Practice (BMP) hybrid techniques with respect to change in use of urban lands and development in urban administration to reduce urban flood discharge. District 4 is one of 22 municipal districts in Tehran city as the east water basin with over 61.4km2. In this investigation, runoff coefficient was calculated by means of Geographic Information System (GIS) to determine rise of this coefficient in hydrological computations using of Storm Water Management Model (SWMM) techniques to adjust urban flood. Similarly, the level of effect was evaluated for four parameters of gradient (slope), roughness coefficient, Curve Number (CN), and impermeability on change of use. With respect to results of sensitivity analysis of peak discharge, this system has the maximum sensitivity in terms of parameter of impermeability percent due to change of use so that following to 10% increase in impermeability, the output discharge of hydrograph runoff was increased 15% and due to 10% reduction in impermeability level, output discharge of hydrograph runoff was decreased 19%. Curve Number (CN) has highest sensitivity after parameter of impermeability percent and following to 10% increase in CN parameter, the output discharge of hydrograph runoff was increased 15% while by 10% reduction in roughness coefficient, output discharge of hydrograph runoff was reduced 8%. After implementation of model with the given mixed scenario through comparing of discharge in 10year return period, it was characterized that the maximum reduction rates occurred in output No 2 (26.8%) and output No 7 (54.3%).

scholarly journals The comparison and analysis on optimal status of Best Management Practice (BMP) mixed technique to reduce urban flood discharge in Tehran District 4

2019 ◽  
Author(s):  
Sorush Niknamian
Keyword(s):  
Management Practice ◽  
Curve Number ◽  
Best Management Practice ◽  
Roughness Coefficient ◽  
Urban Flood ◽  
Storm Water Management Model ◽  
Best Management ◽  
Hybrid Techniques ◽  
Flood Discharge ◽  
The Given

Nowadays, damages caused by flood are deemed as one of the important concerns for urban management. This study aims to analyze effects of coefficient of runoff to urban flood using one of the Best Management Practice (BMP) hybrid techniques with respect to change in use of urban lands and development in urban administration to reduce urban flood discharge. District 4 is one of 22 municipal districts in Tehran city as the east water basin with over 61.4km2. In this investigation, runoff coefficient was calculated by means of Geographic Information System (GIS) to determine rise of this coefficient in hydrological computations using of Storm Water Management Model (SWMM) techniques to adjust urban flood. Similarly, the level of effect was evaluated for four parameters of gradient (slope), roughness coefficient, Curve Number (CN), and impermeability on change of use. With respect to results of sensitivity analysis of peak discharge, this system has the maximum sensitivity in terms of parameter of impermeability percent due to change of use so that following to 10% increase in impermeability, the output discharge of hydrograph runoff was increased 15% and due to 10% reduction in impermeability level, output discharge of hydrograph runoff was decreased 19%. Curve Number (CN) has highest sensitivity after parameter of impermeability percent and following to 10% increase in CN parameter, the output discharge of hydrograph runoff was increased 15% while by 10% reduction in roughness coefficient, output discharge of hydrograph runoff was reduced 8%. After implementation of model with the given mixed scenario through comparing of discharge in 10-year return period, it was characterized that the maximum reduction rates occurred in output No 2 (26.8%) and output No 7 (54.3%).

Implementation of a Best Management Practice (BMP) System for a Clay Mining Facility in Taiwan

2006 ◽  
Vol 41 (7) ◽  
pp. 1315-1326 ◽  
Author(s):  
JEN-YANG LIN ◽  
YEN-CHANG CHEN ◽  
WALTER CHEN ◽  
TSU-CHUAN LEE ◽  
SHAW L. YU
Keyword(s):  
Management Practice ◽  
Best Management Practice ◽  
Best Management

scholarly journals Assessing biogeochemical effects and best management practice for a wheat–maize cropping system using the DNDC model

2014 ◽  
Vol 11 (1) ◽  
pp. 91-107 ◽  
Author(s):  
F. Cui ◽  
X. Zheng ◽  
C. Liu ◽  
K. Wang ◽  
Z. Zhou ◽  
...  
Keyword(s):  
Nitrate Leaching ◽  
Irrigation Water ◽  
Crop Yields ◽  
Management Practice ◽  
Best Management Practice ◽  
Nitrification Inhibitors ◽  
Nh3 Volatilization ◽  
Dndc Model ◽  
Best Management ◽  
Management Alternatives

Abstract. Contemporary agriculture is shifting from a single-goal to a multi-goal strategy, which in turn requires choosing best management practice (BMP) based on an assessment of the biogeochemical effects of management alternatives. The bottleneck is the capacity of predicting the simultaneous effects of different management practice scenarios on multiple goals and choosing BMP among scenarios. The denitrification–decomposition (DNDC) model may provide an opportunity to solve this problem. We validated the DNDC model (version 95) using the observations of soil moisture and temperature, crop yields, aboveground biomass and fluxes of net ecosystem exchange of carbon dioxide, methane, nitrous oxide (N2O), nitric oxide (NO) and ammonia (NH3) from a wheat–maize cropping site in northern China. The model performed well for these variables. Then we used this model to simulate the effects of management practices on the goal variables of crop yields, NO emission, nitrate leaching, NH3 volatilization and net emission of greenhouse gases in the ecosystem (NEGE). Results showed that no-till and straw-incorporated practices had beneficial effects on crop yields and NEGE. Use of nitrification inhibitors decreased nitrate leaching and N2O and NO emissions, but they significantly increased NH3 volatilization. Irrigation based on crop demand significantly increased crop yield and decreased nitrate leaching and NH3 volatilization. Crop yields were hardly decreased if nitrogen dose was reduced by 15% or irrigation water amount was reduced by 25%. Two methods were used to identify BMP and resulted in the same BMP, which adopted the current crop cultivar, field operation schedules and full straw incorporation and applied nitrogen and irrigation water at 15 and 25% lower rates, respectively, than the current use. Our study indicates that the DNDC model can be used as a tool to assess biogeochemical effects of management alternatives and identify BMP.

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