Runoff Impacts of Land-Use Change in Indian River Lagoon Watershed

Kim, Young‐Sug; Engel, Bernard A.; Lim, Kyoung Jae; Larson, Vickie L.; Duncan, Brean W.

doi:10.1061/(asce)1084-0699(2002)7:3(245)

Cited by 71 publications

(31 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The L-THIA model is available as a GIS version ( Figure 5) and Web-L-THIA version available [67]. The L-THIA model is primarily used in watershed management to simulate various hydrologic conditions for land use change [68][69][70][71] and loads of various nonpoint source pollution [72][73][74]; evaluate various scenarios for land use management [75,76]; develop total maximum daily loads (TMDLs) [77]; and evaluate low impact development (LID) [78][79][80]. …”

Section: Long-term Hydrologic Impact Assessment Model (L-thia)mentioning

confidence: 99%

Comparison of Performance between Genetic Algorithm and SCE-UA for Calibration of SCS-CN Surface Runoff Simulation

Jeon

Park

Engel

2014

Water

View full text Add to dashboard Cite

Global optimization methods linked with simulation models are widely used for automated calibration and serve as useful tools for searching for cost-effective alternatives for environmental management. A genetic algorithm (GA) and shuffled complex evolution (SCE-UA) algorithm were linked with the Long-Term Hydrologic Impact Assessment (L-THIA) model, which employs the curve number (SCS-CN) method. The performance of the two optimization methods was compared by automatically calibrating L-THIA for monthly runoff from 10 watersheds in Indiana. The selected watershed areas ranged from 32.7 to 5844.1 km 2 . The SCS-CN values and total five-day rainfall for adjustment were optimized, and the objective function used was the Nash-Sutcliffe value (NS value). The GA method rapidly reached the optimal space until the 10th generating population (generation), and after the 10th generation solutions increased dispersion around the optimal space, called a cross hair pattern, because of mutation rate increase. The number of looping executions influenced the performance of model calibration for the SCE-UA and GA method. The GA method performed better for the case of fewer loop executions than the SCE-UA method. For most watersheds, calibration performance using GA was better than for SCE-UA until the 50th generation when the number of model loop executions was OPEN ACCESSWater 2014, 6 3434 around 5150 (one generation has 100 individuals). However, after the 50th generation of the GA method, the SCE-UA method performed better for calibrating monthly runoff compared to the GA method. Optimized SCS-CN values for primary land use types were nearly the same for the two methods, but those for minor land use types and total five-day rainfall for AMC adjustment were somewhat different because those parameters did not significantly influence calculation of the objective function. The GA method is recommended for cases when model simulation takes a long time and the model user does not have sufficient time for an optimization program to search for the best values of calibration parameters. For other cases, the SCE-UA program is recommended for automatic model calibration.

show abstract

Section: Long-term Hydrologic Impact Assessment Model (L-thia)mentioning

confidence: 99%

Comparison of Performance between Genetic Algorithm and SCE-UA for Calibration of SCS-CN Surface Runoff Simulation

Jeon

Park

Engel

2014

Water

View full text Add to dashboard Cite

show abstract

“…As a consequence, land use changes in the IRL watershed have been dramatic. In 1920, only 4% of the land was classified as low-density residential, while 95% of land was forest/ grass/pasture and 1% agriculture (Kim et al, 2002). The IRL watershed is now dominated by urban land uses (39%), followed by agriculture (24%), range (20.8%), wetland (12.1%), and natural forest (4.5%; Bricker et al, 2007).…”

mentioning

confidence: 99%

Evidence of sewage-driven eutrophication and harmful algal blooms in Florida's Indian River Lagoon

et al. 2015

View full text Add to dashboard Cite

“…L-THIA was developed to evaluate the long-term effects or impacts of land use change on direct runoff and nonpoint source pollution loading [21][22][23][24][25]. Since its introduction, L-THIA has continued to be developed with new L-THIA capabilities being introduced including L-THIA GIS that is integrated with ArcView GIS software and the web-based L-THIA [26].…”

Section: Overview Of L-thiamentioning

confidence: 99%

Regional Calibration of SCS-CN L-THIA Model: Application for Ungauged Basins

Jeon

Lim

Engel

2014

Water

View full text Add to dashboard Cite

Estimating surface runoff for ungauged watershed is an important issue. The Soil Conservation Service Curve Number (SCS-CN) method developed from long-term experimental data is widely used to estimate surface runoff from gaged or ungauged watersheds. Many modelers have used the documented SCS-CN parameters without calibration, sometimes resulting in significant errors in estimating surface runoff. Several methods for regionalization of SCS-CN parameters were evaluated. The regionalization methods include: (1) average; (2) land use area weighted average; (3) hydrologic soil group area weighted average; (4) area combined land use and hydrologic soil group weighted average; (5) spatial nearest neighbor; (6) inverse distance weighted average; and (7) global calibration method, and model performance for each method was evaluated with application to 14 watersheds located in Indiana. Eight watersheds were used for calibration and six watersheds for validation. For the validation results, the spatial nearest neighbor method provided the highest average Nash-Sutcliffe (NS) value at 0.58 for six watersheds but it included the lowest NS value and variance of NS values of this method was the highest. The global calibration method provided the second highest average NS value at 0.56 with low variation of NS values. Although the spatial nearest neighbor method provided the highest average NS value, this method was not statistically different than other methods. However, the global calibration method was significantly different than other methods except OPEN ACCESSWater 2014, 6 1340 the spatial nearest neighbor method. Therefore, we conclude that the global calibration method is appropriate to regionalize SCS-CN parameters for ungauged watersheds.

show abstract

Runoff Impacts of Land-Use Change in Indian River Lagoon Watershed

Cited by 71 publications

References 7 publications

Comparison of Performance between Genetic Algorithm and SCE-UA for Calibration of SCS-CN Surface Runoff Simulation

Comparison of Performance between Genetic Algorithm and SCE-UA for Calibration of SCS-CN Surface Runoff Simulation

Evidence of sewage-driven eutrophication and harmful algal blooms in Florida's Indian River Lagoon

Regional Calibration of SCS-CN L-THIA Model: Application for Ungauged Basins

Contact Info

Product

Resources

About