Abstract
River plays an important role in the human need as it provides water for human usage, irrigation, agriculture and industry as well as a range of other ecosystem services other than intrinsic and biodiversity values. Managing the river can lead to many benefits and convenience. However, due to lack of proper management, rivers can be easily polluted due to human activities. Sediment is one of the components that can damage the ecosystem and diversity of the river especially in local spots which involves soil erosion. Heavy rainstorms can cause an excessive erosion event, however, most soil erosion happens gradually over time and is very hard to notice without constant monitoring. Furthermore, the sediment will be mobilized and transported along the river and eventually stored in the bottom of the river, but usually it will deposit near the estuary. A sediment modeling is needed to carter this problem as to predict the behavior of the sediment based on the hydrological components. The comparison between the 1D (HEC-RAS) and 3D (GETFLOWS) will be discussed in this paper to check the suitability and the validity of the model in sediment studies.
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1 Introduction
The rapid urbanization is one of the factors has an adverse impact on the future land use and soil sustainability. Rapid development occurs when the number of populations increases along with agricultural production, construction as well as other anthropogenic activities [1, 2]. In rivers, erosion takes place as a natural process as the soil erosion typically caused by water which initiates the detachment process of soil particles via raindrops and flowing water and soil particles move downslope [3].
Soil erosion occurs because of the weathering of soil via water, especially when the soil is exposed in rainstorms events for a long time which will then carry sediment along the river [4]. Flooding will result from the transportation of the sediment from the surrounding activities along the river will be deposited at the bottom of the river where the depth of the river will be affected. Practically, forests result in less soil erosion than agricultural land use, whereas agricultural plantation area tends to hasten erosion, which worsens river water quality due to the high transportation of suspended sediment loads [5].
The GETFLOWS simulation model allows to analyze and estimate the river’s current condition in three-dimensional (3D) models. River simulation in 3D models required input details of meteorological records, land cover, geology, and soil characteristic from secondary data collection [6]. The outcome of the simulation can predict and estimate the water cycle (surface water, groundwater and seawater) for the future by comparing the field monitoring data based on concentration of the suspended sediment, river erosion and deposition and also water flow rates.
The widely used software application to simulate sediment transportation is HEC-RAS. The computation of this software utilizes one dimensional (hydraulic property, cross section averaged from RAS’s hydraulic engines to analyze sediment transport rates and revolution of channel geometry based on sediment continuity calculations) [7, 8]. This enables the calculation for river aggregation or erosion, temporal entrainment, transport and deposition of sediment and alteration of the cross sections.
2 Source, Transport and Storage of Sediment
Sediments originates from anthropogenic activities and natural processes. These two factors that are human conditioning or nature can contribute to soil erosion. Centuries ago, soil erosion triggered by the improper land use practices has been regarded as a global threat to soil sustainability and food security [38, 39] and major environmental and agricultural sector [40]. Ouillon [41] discussed the sediment mobility process includes the process of erosion and the role of water to transport the sediment. Unconsolidated sediments are transported by erosion match the energetic forces that able to drive the sediment downstream of the river. Physical weathering and chemical weathering induce the degradation of rocks and soil, after which particles are eroded, removed and carried into the waterbody. Rainfall and surface runoff act as the driving force behind soil erosion. Meanwhile, the bottom shear and turbulence level acting as the primary transport agent for all collected material.
The deposition of sediment into a waterway can significantly degrade the water quality and aquatic habitat. Accumulation of sediments in a waterway has high level of suspended solid concentration and less light penetration. Elevated water temperature causing the dissolved oxygen levels to drop [9].
2.1 Estuarine Sediment
Terrestrial matter is transported to the sea by the estuarine confluence between the two water bodies that are the freshwater and seawater. The coastal region has been severely affected by the surrounding’s rapid economic development. The problems that arise at the coastal area due to the significant anthropogenic inputs (industrialization and urbanization activities, and ecological issues) transported by estuaries. Consequently, a few researchers agreed that the ecosystem at the estuary can be count as one of the most exploited and universally endangering environment systems [10,11,12,13].
The geology and morphology of the estuaries depend on the landscape setting. The primary origin is the crucial component to the classification of the estuary itself because it varies substantially [14, 15]. Townend et al. [15] asserts that the origin is influenced by the antecedent landform such as surface deformation of the hard geology, marine derived embayment and fluvial/glacial river valleys. Accordingly, there were evidence confirmed by researchers, namely Townend et al. [15], Dalrymple [16] and Rees et al. [17] that the marine transgression of estuaries produced from marine and fluvial sediment is transported toward river valley under the effect of sea-level rise.
The floodplain is formed alongside the estuarine based on the volumetric difference between freshwater and seawater. The formation of the estuaries natural landscape setting is depicted in Fig. 1. The alluvial estuaries in river valleys respond to marine tide as to maintain its position in the tidal frame where the estuary moves landwards indicating the implication of marine transgression. The kinematic movement along the estuary morphology can potentially cause erosion. It enables the relative significance of the space open to sediment deposition from river and marine. The system is more susceptible to changes in sediment supply or the rate of sea-level rise when the size of the floodplain is smaller because the transgression distance is reduced. The changes in the estuary form with the greater landward movement will manipulate the sediment demand. Conversely, more space is available when the floodplain is separated from the estuary. Therefore, restoration of the estuarine landscape will rely on the availability of sediment and the rate of sea-level rise.
2.2 Sediment Balance
In river system, the concept of sediment balance in rivers describes the equilibrium between the amount of sediment supplied to a water channel and capacity of the flow to transport that sediment. Long-term sediment supply to rivers, sediment transport via rivers and sediment storage in watersheds collectively known as the sediment regime, generally achieve a state of dynamic equilibrium resulting in distinct channel morphologies [18, 19]. Wohl et al. [20] mentioned that the natural sediment regime is hardly observable, given the degree of human alteration to land cover (inputs) and instream modification (storage and movement). As a result, researchers differentiate between natural and balanced sediment regimes, where balanced sediment regime happens when the water flow have enough energy to carry sediment is proportional to availability of sediment over a specified period and the river shape is stable in equilibrium. He further stated that when the whole river system such as water and sediment is altered where the ecosystem and biota are attuned.
2.3 Equation Involved in Sediment Balance
2.3.1 Fringe’s Equation
A study made by Frings et al. [21], an analysis to quantify the downstream fluxes of different sediment particles size through the Rhine River for the period 1990–2010 and identifying sediment source in the upstream and sediment deposition within the channel. As illustrated in Fig. 2 shows the sediment balance components for both sediment input, output and storage. The sediment inputs consist of sediments carried from the upstream area, sediments carried from the tributaries, riverbank erosion, artificial sediments fed into the river channel. While the sediment outputs and storages occur when the sediments are exit from the targeted channel, riverbed sediments removed by river mining, sediments in the floodplains and/or groin fields, riverbed material abrasion. The parameters used in this study are sediment transport analysis, bed-level analysis, sediment budget analysis and grain size analysis.
Frings mentioned that sediment budget is the balance of whole sediment process (I – O = ΔS) between the mass of sediment entering the targeted river (I), the mass of sediment exiting the targeted area (O) and the differences in sediment mass stored inside the targeted river area (ΔS) as shown in Eq. (1). However, a mathematical sediment transport model is required to analyze the stored sediment in the channel where which benefits from a precise spatial distribution and more reliable prediction [22]. The sediment balance equations are extracted as shown below (tonnes/area):
where
ΔS—change in the storage of sediments.
(a) Sediment Input (I)
IUpstream—sediments carried from upper part of the river.
Itributary—sediments carried from the river tributaries.
Ibank erosion—sediments generated from bank erosion.
Isediment feeding—sediments artificially dump into the river.
(b) Sediment Output (O)
Odownstream—sediment mobilized to the end of the river.
Ofloodplains/groinfields—sediments retained in the floodplains and/or groin fields.
Oabrasion—river-bed material abrasion.
Finally, the changes in the net morphological sediment stored in the study area (ΔS) are shown in Eq. (2):
where
ΔS—net changes in sediment.
Δz − Δzt—river-bed change in time interval Δt.
W—river width.
L—river segment’s length.
Ρs—specific weight of sediments.
p—porosity of the bed material.
The results demonstrate that the suspended solid, which included clay and silt as characteristics and was also known as a wash load, was transported more frequently than the bed load. According to Fig. 3, the transported sand dominated over gravel in the sense of morphologically sediment cycle. While the mobility of coarse gravel (including cobbles) remained small toward downstream and once more the fine gravel is increasing.
Fring et al. [21] provide further evidence that according to budget analysis of sand and gravel being supplied to the targeted river segment is limited. There were 3 major sediment source which occurs in the study area that are 1/3 total of sediment flux originated from the upstream, 1/3 was supplied by the bed degradation and 1/3 was added artificially by humans to stabilize the bed as demonstrated in Fig. 4. The transition zone between gravel and sand, mining-induced subsidence and places with tertiary sand close to the bed surface is where bed degradation is the most severe. The study confirms that the erosion occurs on the riverbed will generate high sand and fine gravel loads. While the bed slope and flow velocities decrease in further downstream, the coarse gravel and cobble loads will decrease due to a reduced sediment mobility. Just a little amount of sediment was lost to abrasion can be found throughout the study.
3 GETFLOWS
The General-purpose Terrestrial Fluid Flow simulator or GETFLOW is a simulation code for numerical modeling of multiple flow analyzes code to minimize the discrepancy between numerical simulation and observation. The surface flow data is in two dimension, while the subsurface data is in three dimension. A study by Hazart et al. [23] stated that the GETFLOWS are used to compute the water balance component that will be used to train the surrogate model to obtain the global water balance indicator. This is also to estimate the movement of water flow in surface and subsurface sections of a basin watershed which requires a thorough analysis of precipitation patterns, land use, soil properties, and hydrological modeling. This modeling ensures the data to be obtained and estimation of water balance without having additional steps to execute an expensive hydrological model. It is also said suitable to be the new support-decision strategy for regional watershed stakeholders lacking numerical modeling knowledge [24]. In other instances, the GETFLOWS are used to simulate the hydromechanical behavior during gas migration and consider the mechanical stability of engineered barrier system [42].
3.1 Application of GETFLOWS in Environmental Monitoring (Sediments)
According to study by Mori et al. [25], a fully integrated watershed modeling simulator was developed to simulate the mobility of radionuclides. The GETFLOWS also be utilized in the study of the radiocesium (137Cs) fate and transport process from Fukushima Dai-ichi earthquake and the subsequent tsunami to reproduce the redistribution of 137Cs in an actual watershed. The study objectives were achieved through few key assumptions in the modeling. The initial assumption by using the diffusive wave approximation of the shallow water equations is that surface water dynamics, including that of rivers, streams, and hillslopes, will be addressed. Second, a two-phase isothermal compressible air or water flow model of the fluid system is used. Third, the concentration level of radionuclide and suspended sediment does not impact fluid properties such as compressibility, viscosity and fluid density.
Fourth, the appearance of suspended sediment can only be seen on the surface water, while colloid transport in groundwater is ignored. Fifth, the surface soil composed of different particles grain sizes and can easily be detached by the water flow. Sixth, the fate and transport of radionuclides is influenced by suspended sediment, surface and subsurface water. All the assumptions above are used to understand the conceptual model of the watershed system. Data needed in mathematical part of the governing equations are the fluid flow, radionuclide transport-coupled processes and sediment. Fluid flow is represented by coupled surface and subsurface fluid flows. From the generalized Darcy Law, the continuity and the shallow water equations for surface flow serve as the governing equation. The model can generate an accurate estimation of the water saturation, air pressure and temperature for the entire watershed in both surface and subsurface. The required major parameters to conduct the modeling of the radionuclide transport model are listed in Table 1.
The phases in modeling surface/subsurface water flows, sediment and radionuclide transport coupled are summarized into a flowchart (Fig. 5).
Figure 6 shows the schematic diagram of fallout radionuclide redistribution in the watershed system, where the radionuclides deposited on the land surface can be transported by sediment, surface water flow and subsurface water flow in the watershed system. Aqueous phase and solid phase are the two primary transport media for radionuclides. Both in surface and subsurface water flow, the radionuclide redistribution is entirely interconnected with each other [25]. Whereas contaminated sediment particles contained radionuclides element can be mobilized in surface water flows, but groundwater was assumed otherwise. Both surface water and groundwater become the media to transport radionuclide species into surface water bodies.
Another work by Mori et al. [25] simulated the fate and mobility of nitrogen coupled with biogeochemical kinetics reaction. In this study, the kinetic reaction between several chemical elements (i.e., ammonium nitrogen, nitrate nitrogen, etc.) and microbial activities was taken into account. The exchange of polluted water in surface and subsurface can be calculated though the interaction on land surface, where nitrogen loads from point and nonpoint source can be identified.
To grasp better understanding in the conceptual model, this study considers the generalized fluid flow as a compressible, isothermal. (multiphase and multicomponent fluid approach.) They considered the diverse distribution of meteorological conditions, hydrologic processes, land use/land cover (LULC), topography, soil surface and water. Surface water (streams, hill slope and reservoir flows) is portrayed as a depth-averaged, diffusive was approximation including. The concentration of nitrogen levels was mostly regulated by continuous groundwater discharge for a long period where it can be predicted through the discharge of nitrogen from subsurface water to the rivers and the lake water [25]. It further stated that the coding determines water flows, surface water flows, subsurface air and sediment transport by soil erosion, suspension within surface water flows and re-deposition. Cesium-137 transport was estimated in both forms; particulate and dissolved [25, 27].
According to Kitamura et al. [6], a study was made by using GETFLOWS to simulate the sediment migration within five basins focusing around Fukushima Daichi Nuclear Power Plant (FDNPP). The model is used to design and develop as to treat soil erosion from rain splash erosion and hydraulic erosion/deposition. In order to achieve that, the model used to simulate surface and subsurface flows in a fully coupled way. As stated by Sakuma et al. [28], the code is applied for sediment transport, where it simulates raindrop-induced soil detachment, including the impacts of interception by forest canopies, and direct erosion by surface water flows. The model input parameters relating to rain splash erosion, such as land use, canopy height and coverage and vegetation type. In this case, to study the radiocesium transport and discharge between basins near the FDNPP following heavy rainfall events.
Sakuma et al. [27] conducted a study to assess the amount of 137Cs redistribution that occurred in the Oginosawa River catchment over a certain period. The goal of study was to grasp the knowledge regarding the difference on the relative contributions between adjacent land to channels and forested areas far from channels to 137Cs input to the watercourses, respectively. This study also emphasized the need to recognize the effect of decontamination work on soil erosion and movability of sediment rates within the catchment area.
3.2 Benefits and Drawbacks of GETFLOWS Application
Table 2 gives the benefits and the drawbacks of GETFLOWS modeling application in monitoring as well as other applications.
4 HEC-RAS
Hydrologic Engineering Center’s-River Analysis System (HEC-RAS) is a modeling application that simulate the water flow through rivers and other channels. It was developed by the US Department of Defense, Army Corps of Engineers in order to manage the rivers [43]. This software includes four types of one-dimensional hydraulic components for steady flow, unsteady flow simulation, movable boundary sediment transport analysis and water quality analysis, all of which use a common representation of geometric data and hydraulic computation [29, 30, 44]. HEC-RAS is also an effective tool to simulate the runoff relying on the channel morphology [31]. That said, the HEC-RAS 1D model is often applied to analyze sediment transport. HEC-RAS’ version 4.0 was the first to incorporate calculations for 1D sediment transport [7]. The sediment transport model from HEC-RAS requires hydraulic variables (velocity, flow depth and shear stress) and sediment properties to evaluate the transport capacity for cohesive and non-cohesive soils. The user can compute transport potential. (temporal entrainment, deposition and alteration of the cross sections to reflect aggregation or erosion via the HEC-RAS software.)
4.1 Application of HEC-RAS in Sediment Modeling
HEC-RAS was applied by Joshi et al. [8] to develop a sediment transport model analysis in the river channel. The first data used in this study is geometric data that was generated from a digital elevation model with a resolution of 10 m by 10 m using ArcGIS and the HEC-GeoRAS extension This model has to be calibrated and validated to guarantee measurement accuracy and that it fulfill the specified functional goal. Making use of different sediment transport functions and Manning’s roughness coefficient, calibration and validation were completed. By assuming the sediment transport equation from the main hydraulic variables, the sediment transport rate can be determined in sediment studies. The predicted and measured sediment transport rates usually differ from each other. According to this study, Meyer-Peter and Mullet (MPM) had the best fit to the field data in contrast to the other six (6) equations. The sediment transport analysis indicated variations in riverbed pattern as well as the areas of river that are vulnerable to erosion or deposition. Consequently, by combining the model, output and local knowledge may assist to mitigate the problem drove by sediment. It shows that most sediments accumulate in the upper stream of the river. Yet, downstream area displays different outcomes. Additionally, the pattern sediment distribution is also not uniform. In short, having more cross section area, bed load and gradation of sediment load data can help to develop a more reliable model for predicting the future sediment behavior.
Research by Foti et al. [32], this study to determine the impact of river removal by analyzing the entire basin to determine the implications of sediment balance. Additionally, it is possible for this model to locate the feasible area and also estimate the potential evolution of river morphology caused by withdrawals. The process of sediment withdrawals will be removed far from the riverbank to avoid affecting them and without eroding the riverbed. Sediment removal will extract from the riverbed that has equal to or higher than that of conjoining lands to minimize the flooding risk (Fig. 7). A total of 1 m in height and 100 m in width removal of accumulated sediments at the middle part of the targeted river section.
In order to carry out the research successfully, there are three (3) main phases involved throughout the process. The early phase involved the development using GIS software to perimeter and morphometrically characterize the river basin and its hydraulically and sedimentological homogeneous sub-basins. Utilizing the HEC-HMS software, the next phase was created to assess the hydrological balance of the basin and its sub-basins. In the final phase, by combining two software of HEC-RAS software and SIAM model to discover the regions that were experiencing erosion, deposition and equilibrium.
4.2 Benefits and Drawbacks of HEC-RAS Application
Table 3 gives the benefits and the drawbacks of HEC-RAS modeling application in monitoring as well as other applications.
5 Conclusion
This research review’s purposes are to help the reader to grasp the concept of sediment transport in the river system by understanding the process of the sediment starting from the source, transportation until the deposition of the sediment and also to determine the benefits of using HEC-RAS and GETFLOWS. This is significant because rivers have different types of situations and management according to the current event that can affect the river system in the specific time interval. There has been much research and discussion conducted on the behavior and the mobility of the sediment. Most of the research found was on the composition of the sediment and sediment load. Apart from that, this review showed that the benefit of using GETFLOW, it can develop a 3D modeling and it can illustrate the whole hydrological cycle based on the sediment mobility. As for the HEC-RAS, it has been widely used by many researchers in this field to identify the mobility of the sediment and it is in 1D modeling and easy to use. More research and testing are required to gain a better prediction in identifying the behavior of the sediment by using sediment modeling.
References
Ding, L., Chen, K.L., Cheng, S.G., Wang, X.: Water ecological carrying capacity of urban lakes in the context of rapid urbanization: a case study of East Lake in Wuhan. Physics and Chemistry of the Earth, Parts A/B/C 89–90, 104–113 (2015)
Reitsma, K.D., Dunn, B.H., Mishra, U., Clay, S.A., DeSuttere, T., Clay, D.E.: Land-use change impact on soil sustainability in a climate and vegetation transition zone. Agronomy Journal. 10(6) (2015). https://doi.org/10.2134/agronj15.0152
Yusof, M.F., Jamil, N.R., Leaw, C.N.I., Aini, N., Manaf, A.L.: Land use change and soil loss risk assessment by using geographical information system (GIS): a case study of lower part of Perak River. IOP Conf. Ser.: Earth Environ. Sci. 37, 012065 (2016). https://doi.org/10.1088/1755-1315/37/1/012065
Bagarello, V., Di Stefano, C., Ferro, V., Pampalone, V.: Predicting maximum annual values of event soil loss by USLE-type models. CATENA 155, 10–19 (2017)
Ouyang, W., Wu, Y., Hao, Z., Zhang, Q., Bu, Q., Gao, X.: Combined impacts of land use and soil property changes on soil erosion in a mollisol area under long-term agricultural development. Sci. Total Environ. 613–614, 798–809 (2018)
Kitamura, A., Kurikami, H., Sakuma, K., Malins, A., Okumura, M., Machida, M., Mori, K., Tada, K., Tawara, Y., Kobayashi, T., Yoshida, T., Tosaka, H.: Redistribution and export of contaminated sediment within eastern Fukushima Prefecture due to typhoon flooding. In: Earth Surface Processes and Landforms. Wiley Online Library (2016)
Brunner, G.W., Gibson, S.: Sediment transport modelling in HEC RAS. Impacts of Global Climate Change (2005)
Joshi, N., Lamichhane, G.J., Rahaman, M.M., Kalra, A., Ahmad, S.: Application of HEC-RAS to study the sediment transport characteristics of Maumee River in Ohio. World Environmental and Water Resources Congress (2019). https://doi.org/10.1061/978084482353.024
Osuagwu, J.C., Nwachukwu, A.N., Nwoke, H.U., Agbo, K.C.: Effect of soil erosion and sediment deposition on surface water quality: case study of Otamiri River. Asian Journal Engineering and Technology (2014)
Li, H., Lin, L., Ye, S., Li, H., Fan, J.: Assessment of nutrient and heavy metal contamination in the sea water and sediment of Yalujiang Estuary. Mar. Pollut. Bull. (2017). https://doi.org/10.1016/j.marpolbul.2017.01.069
Liu, J.Q., Yin, P., Chen, B., Gao, F., Song, H.Y., Li, M.N.: Distribution and contamination assessment of heavy metals in surface sediments of the Luanhe River Estuary, northwest of the Bohai Sea. Mar. Pollut. Bull. 109, 633–639 (2016)
Lotze, H.K., Lenihan, H.S., Bourque, B.J., Bradbury, R.H., Cooke, R.G., Kay, M.C., et al.: Depletion, degradation, and recovery potential of estuaries and coastal seas. Science 312, 1806–1809 (2006)
Liu, R.M., Men, C., Liu, Y.Y., Yu, W.W., Xu, F., Shen, Z.Y.: Spatial distribution and pollution evaluation of heavy metals in Yangtze estuary sediment. Mar. Pollut. Bull. 110, 564–571 (2016)
Hume, A.D., Herdendorf, C.E.: A geomorphic classification of estuaries and its application to coastal resource management. Journal of Ocean and Shoreline Management. 11, 249–274 (1988)
Townend, I., Zhou, Z., Guo, L., Coco, G.: A morphological investigation of marine transgression in Estuaries. Earth. Surf. Processes. Land. 46(5) (2020)
Dalrymple, R.W.: Incised valleys in time and space: an introduction to the volume and an examination of the controls on valley formation. Society for Sedimentary Geology 5–14 (2006)
Rees, J.G., Ridgway, J., Ellis, S., Knox, R.W.O., Newsham, R., Parkes, A.: Holocene sediment storage in the Humber Estuary. Geological Society, London, Special Publications 166, 119–143 (2000)
Church, M.: Channel morphology and typology. In: The River Handbook, pp. 126–143. Blackwell Scientific Publishers, Oxford (1992)
Gilbert, J.T., Wilcox, A.C.: Sediment routing and floodplain exchange (SeRFE): A spatially explicit model of sediment balance and connectivity through river networks. Journal of Advance in Modelling Earth Systems (2020). https://doi.org/10.1029/2020MS002048
Wohl, E., Bledsoe, B.P., Jacobson, R.B., Poff, N.L., Rathburn, S.L., Walters, D.M., Wilcox, A.C.: The natural sediment regime in rivers: broadening the foundation for ecosystem management. Bioscience 65(4) (2015). https://doi.org/10.1093/biosci/biv002
Frings, R.M., Doring, R., Beckhausen, C., Schuutrumpf, H., Vollmer, S.: Fluvial sediment budget of a modern, restrained river: the lower reach of the Rhine in Germany (2014)
Maldegem, D.C., Mulder, H.P.J., Langerak, A.: A cohesive sediment balance for the Scheldt estuary. Netherlands Journal of Aquatic Ecology 27(2–4), 247–256 (1993)
Hazart, A.,Mori, K., Tada, K.,Tosaka, H.: Using surrogate modelling for fast estimation of water budget component in a regional watershed. In: International Congress on Environmental Modelling and Software. 7th International Congress on Environmental Modelling and Software, San Diego, USA (2014)
Hosono T., Yamada C., Shibata T.: Coseismic groundwater drawdown along crustal ruptures during the 2016 Mw 7.0 Kumamoto Earthquake. Lawrence Berkeley National Laboratory (2019)
Mori, K., Tada, K., Tawara, Y., Ohno, K., Asami, M., Kosaka, K., Tosaka, H.: Integrated watershed modelling for simulation of spatiotemporal redistribution of post-fallout radionuclides: application in radiocesium fate and transport processes derived from the Fukushima accidents. Environ. Model. Softw. 72, 126–146 (2015)
Rahman, S.A.T.M., Hosono, T., Tawara, Y., Fukuoka, Y., Hazart, A., Shimada, J.: Multiple-tracers-aided surface-subsurface hydrological modeling for detailed characterization of regional catchment water dynamics in Kumamoto area, southern Japan. Hydrogeol. J. 29, 1885–1904 (2021)
Sakuma K., Malins A., Funaki H., Kurikami H., Niizato T., Nakanishi T., Mori K., Tada K., Kobayashi T., Kitamura A., Hosomi M.: Evaluation of Sediment and 137Cs Redistribution in the Oginosawa River Catchment near the Fukushima Dai-ichi Nuclear Power Plant Using Integrated Watershed Modelling (2018)
Sakuma K., Kitamura A., Malins A., Kurikami H., Machida M., Mori K., Tada K., Kobayashi T., Tawara Y., Tosaka H.: Characteristics of radio-cesium transport and discharge between different basins near to the Fukushima Dai-ichi Nuclear Power Plant after heavy rainfall events (2017)
Amir, H.H., Ehsan, Z.: Evaluation of HEC-RAS ability in erosion and sediment transport forecasting. World Appl. Sci. J. 17(11), 1490–1497 (2012)
Hasani, H.: Determination of flood plain zoning in Zarigol river using the hydraulic model of HEC-RAS. International Research Journal of Applied and Basic Sciences (2013)
Thakur, B., Parajuli, R., Kalra, A., Ahmad, S., Gupta, R.: Coupling HEC-RAS and HECHMS in precipitation runoff modelling and evaluating flood plain inundation map. World Environmental and Water Resources Congress 2017, 240–251 (2017)
Foti, G., Barbaro, G., Manti, A., Foti, P., Torre, A.L., Geria, P.F., Puntorieri, P., Tramontana, N.: A methodology to evaluate the effects of river sediment withdrawal: the case study of the Amendolea River in southern Italy. Aquat. Ecosyst. Health Manage. 23(4), 465–473 (2020). https://doi.org/10.1080/14634988.2020.1807248
Horritt, M., Bates, P.: Evaluation of 1D and 2D numerical models for predicting river flood inundation. J. Hydrol. 268(1–4), 87–99 (2002)
Panin, N., Jipa, D.: Danube River sediment input and its interaction with the northwestern Black Sea. Estuar. Coast. Shelf Sci. 54(3), 551–562 (2019)
Werner, M.: Impact of grid size in GIS based flood extent mapping using a 1D flow model. Phys. Chem. Earth Part B 26(7–8), 517–522 (2001)
Kitamura, A., Kurikami, H., Sakuma, K., Malins, A., Okumura, M., Machida, M., Mori, K., Tada, K., Tawara, Y., Kobayashi, T., Yoshida, T., Tosaka, H.: Redistribution and export of contaminated sediment within eastern Fukushima prefecture due to typhoon flooding. Earth Surf. Proc. Land. (2016). https://doi.org/10.1002/esp.3944
Mori, K., Tawara, Y., Hazart, A., Tada, K., Tosaka, H.: Simulating Nitrogen Long-term fate and transport processes at a regional scale with a surface and subsurface fully-coupled watershed model. In: 21st International Congress on Modelling and Simulation, Gold Coast, Australia (2015)
Jacks, G.V., Whyte, R.O.: The rape of the earth: a world survey of soil erosion. Rape. Earth. World. Survey. Soil. Erosion. (1939)
Hassan, M.A., Roberge, L., Church, M., More, M., Donner, S.D., Leach, J., Ali, K.F.: What are the contemporary sources of sediment in the Mississippi River? Geophys. Res. Lett. 44, 8919–8924 (2017)
Borelli, P., Robinson, D.A., Panagos, P., Lugato, E., Yang, J.E., Alewell, C., Wuepper, D., Montanarella, L., Ballabio, C.: Land use and climate change impacts on global soil erosion by water (2015–2070). Proc. Nat. Acad. Sci. 117(34), 1–8 (2020)
Ouillon, S.: Why and how do we study sediment transport? Focus on coastal zones and ongoing methods. Water 10(4), 390 (2018)
Yamamoto, S., Kumagai, M., Koga, K., Sato, S.: Mechanical stability of engineered barriers in a subsurface disposal facility during gas migration based on coupled hydromechanical modelling. Geol. Soc. Lon. Spec. Publ. 415(1) (2015)
Robert, W.C.J., Karen, F., William, J.: Auto-integrating multiple HEC-RAS flood-line models into catchment-wide SWMM flood forecasting models. AWRA Hydrol. Watershed. Manage. Tech. Committee 10(1), 1–15 (2012)
Traore, V.B., Bop, M., Faye, M., Giovani, M.: Using of HEC-RAS model for hydraulic analysis of a river with agriculture vocation: a case study of the Kayanga River Basin, Senegal. Am. J. Water. Res. 3(5), 147–154 (2015)
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This study is in collaboration and financially supported by National Water Research Institute of Malaysia (NAHRIM) (Grant no. 304.PAWAM.6050432.l136).
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Abu Bakar, S.N. et al. (2024). Application of GETFLOWS and HEC-RAS in Assessing Sediment Balance Within River Estuary. In: Sabtu, N. (eds) Proceedings of AWAM International Conference on Civil Engineering 2022 - Volume 3. AICCE 2022. Lecture Notes in Civil Engineering, vol 386. Springer, Singapore. https://doi.org/10.1007/978-981-99-6026-2_46
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DOI: https://doi.org/10.1007/978-981-99-6026-2_46
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