Hydrologic Modeling Inventory: Cooperative Research Effort

Singh, Vijay P.; Frevert, Donald K.; Rieker, Jeffrey D.; Leverson, V.; Meyer, Susan E.; Meyer, Steffen

doi:10.1061/(asce)0733-9437(2006)132:2(98)

Cited by 13 publications

(3 citation statements)

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“…This section provides a review of current state-of-the-art of watershed-scale models, including discussion of their strengths and weaknesses when applied to various watershed and related problems. Recent reviews by Singh and Woolhiser [39], Borah and Bera [171], Kalin and Hantush [37], Singh and Frevert [172], and Oogathoo [6] 1 provides a summary of primary model characteristics and features.…”

Section: Hydrologic and Hydrodynamic Models For Watershed Modelingmentioning

confidence: 99%

Watershed Modeling and its Applications: A State-of-the-Art Review

Daniel¹,

Camp²,

LeBoeuf³

et al. 2011

TOHYDJ

181

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Advances in the understanding of physical, chemical, and biological processes influencing water quality, coupled with improvements in the collection and analysis of hydrologic data, provide opportunities for significant innovations in the manner and level with which watershed-scale processes may be explored and modeled. This paper provides a review of current trends in watershed modeling, including use of stochastic-based methods, distributed versus lumped parameter techniques, influence of data resolution and scalar issues, and the utilization of artificial intelligence (AI) as part of a data-driven approach to assist in watershed modeling efforts. Important findings and observed trends from this work include (i) use of AI techniques artificial neural networks (ANN), fuzzy logic (FL), and genetic algorithms (GA) to improve upon or replace traditional physically-based techniques which tend to be computationally expensive; (ii) limitations in scale-up of hydrological processes for watershed modeling; and (iii) the impacts of data resolution on watershed modeling capabilities. In addition, detailed discussions of individual watershed models and modeling systems with their features, limitations, and example applications are presented to demonstrate the wide variety of systems currently available for watershed management at multiple scales. A summary of these discussions is presented in tabular format for use by water resource managers and decision makers as a screening tool for selecting a watershed model for a specific purpose.

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Section: Hydrologic and Hydrodynamic Models For Watershed Modelingmentioning

confidence: 99%

Watershed Modeling and its Applications: A State-of-the-Art Review

Daniel¹,

Camp²,

LeBoeuf³

et al. 2011

TOHYDJ

181

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“…The significance of rainfall-runoff modeling has long been intended [6,7]. For the transformation of rainfall into runoff, many previously developed models exist [8,9].…”

Section: Introductionmentioning

confidence: 99%

Identification of potential zones on the estimation of direct runoff and soil erosion for an ungauged watershed based on remote sensing and GIS techniques

Patil

Saha

Pingale

et al. 2023

International Journal of Engineering and Geosciences

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An investigation of soil and water resources is essential to determine the future scenario of water management and water resources to attain food and water security. The improper management of watersheds results in a huge amount of sediment loss and surface runoff. Therefore, the present study was carried out to estimate the surface runoff and soil erosion using the Soil Conservation Service Curve Number (SCS-CN) method and Revised Universal Soil Loss Equation (RUSLE), respectively. These have been estimated using geospatial technologies for the ungauged Mandri river watershed from the Kanker district of Chhattisgarh State in India. The runoff potential zones, which are defined by the area's impermeable surfaces for a given quantity of precipitation were identified based on curve numbers at the sub-watershed levels. The results showed that the average volume of runoff generated throughout the 16-years period was 14.37 million cubic meters (mM3). While average annual soil loss was found to be 17.23 tons/ha/year. Most of the eroded area was found to be around the major stream in a drainage system of Mandri River and on higher slopes of the terrain in the watershed. This study revealed that surface runoff and soil erosion are primary issues, which adversely affected the soil and water resources in this watershed. Therefore, suitable water harvesting sites and structures can be constructed based on the potential runoff zone and severity of soil erosion to conserve the soil and water in the watershed.

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“…Some of the main limiting factors of crop production in Suceava County are excess water, floods, low infiltration rate and soil compaction, soil erosion, and landslides. Waterlogging is a complex process determined by water supply, retention, movement, and discharge in the sub-adjacent rock-soil system [11,12]. Water excess (rainfall water and/or groundwater) gets manifest under different forms and intensities, both in case of flat and slope lands [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Technical Efficiency of the Subsurface Drainage on Agricultural Lands in the Moldova River Meadow

Radu¹,

Cîmpeanu²,

Teodorescu³

et al. 2017

Current Perspective on Irrigation and Drainage

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This study aims to investigate the technical efficiency of different subsurface drainage variants, in terms of the depth of the tile drains, spacing between the drain lines, type and thickness of the drain + filter complex, and the improvement procedures. Within the four variants, the discharge rate of the soil moisture excess was studied. In variants A and D, the spacing between drains is 20 m, and in the variants B and E, the spacing is 15 m. The depth of the tile drains is 0.8 m in variants D and E and 1.0 m in variants A and B. In variant A, tile drainage was combined with land shaping in the bedding system with top of ridges and furrows. Soil moisture was determined on checkpoints placed on drain cross section, at 2 m from drain lines, and of the middle of the drain spacing. In the version with land shaping, the drain lines located under the furrows favor the excess moisture removal. A similar technical efficiency was recorded in unimproved variant but with spacing between drains of 15 m. Best efficiency at removing excess water was registered in variant of the filtering material from ballast associated with flax strains.

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Hydrologic Modeling Inventory: Cooperative Research Effort

Cited by 13 publications

References 0 publications

Watershed Modeling and its Applications: A State-of-the-Art Review

Watershed Modeling and its Applications: A State-of-the-Art Review

Identification of potential zones on the estimation of direct runoff and soil erosion for an ungauged watershed based on remote sensing and GIS techniques

Technical Efficiency of the Subsurface Drainage on Agricultural Lands in the Moldova River Meadow

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