Modelling and layout of drainage-levee devices in river sections

Self Cite

Water flows in the hydrosphere through a tangled and tortuous labyrinth of ways that is the hydrological cycle. Flow separation models are an attempt to group such complexity of paths into a few components of flow and storage so as to reflect the overall behaviour of a basin. A new method of analysis and separation of flow components, based on equations of dynamic relations between Linear Reservoirs connected in Parallel (PLR models), is developed in this article. A synthesis of models based on mathematical filter equations is carried out in order to make comparisons with the proposed model. Reference is also made to the methodology of adjustment and calibration of the PLR models based on the recession curves of the real hydrographs. The models are tested with the continuous register of a basin located in the northeast of Spain. The simulations are carried out with two reservoir models (2R models), three reservoirs (3R models) and with a mathematical filter model to compare the results. With the results of the models, flow duration curves (FDCs) and storage duration curves (SDCs) were elaborated, thus allowing assessment of the origin of the water resources of the basin, a guarantee of their regulation and availability, the dynamic storage in the catchment, residence times and other features.

Section: Introductionmentioning

confidence: 99%

New Analysis Method for Continuous Base-Flow and Availability of Water Resources Based on Parallel Linear Reservoir Models

Mateo-Lázaro

Castillo-Mateo

Navarro

et al. 2018

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“…On the other hand, recently, DL methods demonstrated more accurate and reliable results than classic soft computing methods. Seepage modeling requires assembling a wide range of studies closely connected to each other [103], and therefore, in the current review paper, several studies were investigated and compared that used soft computing methods for seepage modeling. One of the more important issues was exploring which soft computing method can best simulate and analyze the seepage process.…”

Section: Comparative Performance Analysis and Discussionmentioning

confidence: 99%

The Applications of Soft Computing Methods for Seepage Modeling: A Review

Nourani

Behfar

Dąbrowska

et al. 2021

In recent times, significant research has been carried out into developing and applying soft computing techniques for modeling hydro-climatic processes such as seepage modeling. It is necessary to properly model seepage, which creates groundwater sources, to ensure adequate management of scarce water resources. On the other hand, excessive seepage can threaten the stability of earthfill dams and infrastructures. Furthermore, it could result in severe soil erosion and consequently cause environmental damage. Considering the complex and nonlinear nature of the seepage process, employing soft computing techniques, especially applying pre-post processing techniques as hybrid methods, such as wavelet analysis, could be appropriate to enhance modeling efficiency. This review paper summarizes standard soft computing techniques and reviews their seepage modeling and simulation applications in the last two decades. Accordingly, 48 research papers from 2002 to 2021 were reviewed. According to the reviewed papers, it could be understood that regardless of some limitations, soft computing techniques could simulate the seepage successfully either through groundwater or earthfill dam and hydraulic structures. Moreover, some suggestions for future research are presented. This review was conducted employing preferred reporting items for systematic reviews and meta-analyses (PRISMA) method.

“…Then, to this general scheme, a new model is added that estimates the contribution of water coming from snow reservoirs. Figure 1 shows the interface of the computer program which has been used in recent years in numerous professional works on risks, spatial planning, and civil and architectural works, as well as in scientific publications [47,48,[56][57][58][59][60][61][62][63]. The SHEE software has numerous applications for either DEM management or simulation of hydrological processes [64].…”

Section: Methodsmentioning

confidence: 99%

Assessment of the Role of Snowmelt in a Flood Event in a Gauged Catchment

Mateo-Lázaro

Castillo-Mateo

Navarro

et al. 2019

Self Cite

An actual event that happened in the Roncal valley (Spain) is investigated and the results are compared between models with and without snowmelt. A distributed rainfall model is generated with the specific data recorded by the rain gauges of the catchment during the episode. To describe the process of water routing in the hydrological cycle of the basin, a model is used based on combinations of parallel linear reservoirs (PLR model), distribution by the basin, and tip-out into its drainage network configured using a digital terrain model (DTM). This PLR model allows simulation of the different actual reservoirs of the basin, including the snow and the contribution due to its melting which, in the model, depends on the temperature. The PLR model also allows for a water budget of the episode where, in addition to the effective rainfall contribution, the water that comes from the thaw is taken into account. The PLR model also allows determination of the amount of water that exists in the basin before and after the episode, data of great interest. When comparing the simulations with and without taking into account the thawing process, it is evident that the intervention of the snow reservoir has been decisive in causing a flood to occur.