2018
DOI: 10.1016/j.scitotenv.2017.10.290
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Analysis of the efficacy and cost-effectiveness of best management practices for controlling sediment yield: A case study of the Joumine watershed, Tunisia

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Cited by 64 publications
(30 citation statements)
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“…Regarding the check dam restoration, almost 90% of the sediment was found to be retained at the dams. Mtibaa et al (2018) [37] proved that the highest sediment yield reductions were achieved by structural BMPs. Check dams also reduced the TN by 15% and the TP by 22%.…”
Section: Individual Bmpsmentioning
confidence: 99%
See 1 more Smart Citation
“…Regarding the check dam restoration, almost 90% of the sediment was found to be retained at the dams. Mtibaa et al (2018) [37] proved that the highest sediment yield reductions were achieved by structural BMPs. Check dams also reduced the TN by 15% and the TP by 22%.…”
Section: Individual Bmpsmentioning
confidence: 99%
“…The combination of BMPs can be more effective than individual BMPs [37]. Based on the action scale, three combinations of BMPs were implemented in the SWAT to assess their effectiveness to reduce sediment and nutrients (Table 4).…”
Section: Bmp Combinationmentioning
confidence: 99%
“……where R is the parameter for rainfall erosivity (MJ•mm•( hm 2 •h•a) -1 ), P i represents the average monthly rainfall (mm) for each month of the year, and P is the average annual rainfall (mm) over a certain time interval (Fig. 3a).…”
Section: Calculation and Results Of Each Factormentioning
confidence: 99%
“…Soil erosion by water is an important part of land ecological change and global environmental change [1]. Considered as a multi-factor, multi-level and multiscale geo-scientific problem, soil erosion by water has major adverse effects on agricultural productivity and the sustainable use of surface water resources [2]. Strengthening the prevention and control of soil erosion is a fundamental guarantee to improve the quality of a regional ecological environment.…”
Section: Introductionmentioning
confidence: 99%
“…The usefulness of lumped hydrological models for forecasting may be limited by their coarse resolution, the need for long-term historical data for calibration, and an inapplicability to poorly gauged catchments [14]. When the data is limited or there are no gauging stations at the study area, for example precipitation data is missing or there is not enough, numerical models can be applied to generate future data of flow used in models such as HEC-RAS for flood forecasting [65][66][67][68]. However, research on data scarcity or ungauged basins is another fast-growing topic but beyond the scope of this overview.…”
Section: Floodmentioning
confidence: 99%