scholarly journals Determination of Tank Model Parameters with Four Series Structure in Rokan Watershed

2019 ◽  
Vol 5 (2) ◽  
pp. 85-92
Author(s):  
Manyuk Fauzi ◽  
Yohanna Lilis Handayani ◽  
Annisa Destiany

Information about low flow and water availability is one of the important factors in the management of water resources. The Rokan River Basin as one of the water resources in Riau Province is very important to know the condition of its water availability. One conceptual hydrological model for low flow analysis is the Tank Model developed by Sugawara. Data input needed in this research is daily rainfall data at Pasar Tangun Station, climatology data at Rambah Utama station and discharge data at AWLR Pasir Pengaraian. Model parameter search in the calibration stage is by trial and error. Using a 90% confidence interval a range of parameter values for the tank model is obtained, which is special for production store are surface flow 150.81 mm ≤ H1 ≤ 204.75 mm, intermediate flow 156.74 mm ≤ H2 ≤ 194.37 mm, sub base flow 141.24 mm ≤ H3 ≤ 176, 54 mm and base flow 139.43 mm ≤ H4 ≤ 176.12 mm.

RBRH ◽  
2019 ◽  
Vol 24 ◽  
Author(s):  
Guilherme Henrique Cavazzana ◽  
Giancarlo Lastoria ◽  
Sandra Garcia Gabas

ABSTRACT Since groundwater and surface waters are important components of the hydrological system, determining their interaction is essential for the efficient management of water resources by predicting the consequences of interference, whether due to the growth of demand or due to climate change. However, integrated scientific studies on these water resources are scarce, including in the Guariroba’s Environmental Protection Area, responsible for supplying 31.3% of the Campo Grandem/MS’s population, representing a local water security element. Thus, this work had as objective to evaluate the interaction between surface-groundwater in an unconfined sedimentary aquifer system, based on hydrograph separation methodologies of base flow, Flow Duration Curve (FDC) analysis, Master Recession Curve (MRC) evaluation and verification of the relationship between the surface flow, piezometric levels (PL) of the wells and the monthly precipitation. The results indicates a proportional relationship between rainfall, superficial flow and PL variations; the FDC smooth slope suggests that the baseflow is sustained by the groundwater discharge, corresponding to 89% of the total flow; the low-flow index indicates that the groundwater’s storage capacity is about 80%; the Base-Flow Index (BFI) ranging from 0.804 to 0.921, indicates a stable flow regime, aquifer’s high permeability conditions, though not uniform, and low runoff.


2018 ◽  
Vol 13 (4) ◽  
pp. 764-770 ◽  
Author(s):  
T. M. Adyel ◽  
M. R. Hipsey ◽  
C. Oldham

Abstract This study assessed the significance of a multi-functional and multi-compartment constructed wetland (CW) implemented to restore a degraded urban waterway in Western Australia. The wetland was initially constructed as a surface flow system, then modified through the incorporation of the additional laterite-based subsurface flow system, with the potential for operation of a recirculation scheme and groundwater top-up during low water flows in summer. The CW performance was assessed by comparing nitrogen (N) and phosphorus (P) attenuation during base flow, high flow and episodic storm flow conditions. The performance varied from approximately 41% total nitrogen (TN) and 66% total phosphorus (TP) loads reduction during storm events, increasing up to 62% TN and 99% TP during low flow and summer recirculation periods. In overall, the CW attenuated about 45% TN and 65% TP loads from being delivered to the downstream sensitive river between 2009 and 2015. The CW design proved to be not only highly effective at reducing nutrient loads, but also improved the ecological services of the urban waterway by providing a diverse area for habitat and recreational activities.


2013 ◽  
Vol 405-408 ◽  
pp. 2201-2207 ◽  
Author(s):  
Xi Nan Li ◽  
Ping Xie ◽  
Yong Zhu

In order to evaluate quantitatively the hydrology and water resources effects of land use and land cover change (LUCC), a zonal watershed hydrological model considering land use and land cover change (ZWHM-LUCC) was developed. According to the daily rainfall, evaporation and discharge data of Wuding River Basin during 1980~2000, the parameters of the model were calibrated and verified. The results show that coefficient of water balance (R) is 1.004 and the qualified rate of annual runoff depth (DR) is86.67% during calibration period 1986~2000 and the R is 0.938 and the DR is 66.67% during calibration verification 1980~1985. The calculated results indicate that this model has good adaptability in Wuding River Basin. The different scenarios of land use/land cover were analyzed by the model, with 2000 year as base year, 13 scenarios were designed, which be helpful to study water-economy-ecology interactions and natural-social dualistic, and provide the scientific basis for Wuding river basin water and soil conservation planning and water resources planning.


2021 ◽  
Vol 10 (2) ◽  
pp. 33-47
Author(s):  
Tiago N. Martins ◽  
Manuel Mendes Oliveira ◽  
Maria M. Portela ◽  
Teresa Eira Leitão

The water availability estimation in large regions is a relevant procedure to define broad water resources management policies but may prove difficult due to the lack of data and uncertainty to related regional hydrological and hydrogeological characterization. BALSEQ, a daily sequential water budget model, was applied in a set of twenty-two watersheds in southern Portugal, aiming to understand the possible relations between the model parameters and watershed characteristics that may allow assembling calibration functions for non-monitored watersheds. A sensitivity analysis was conducted by comparing BALSEQ results with measured surface flow, focusing specifically on the fraction of the potential maximum retention (φ) and the maximum amount of water available in the soil for evapotranspiration (AGUT) parameters and the underlying hydrogeological conceptual model that ultimately controls the surface-groundwater interactions. The overall results did not allow to identify clear relations that permit extrapolation to other regions without data as the sensitivity analysis procedures returned similar results for wide intervals of parameters for the majority of watersheds. The results confirmed that the groundwater discharge is an important component for the total measured surface flow and that the φ parameter should not be overlooked when calculating direct runoff. Poor adjustments between the model results and measured flow were observed in watersheds with a low Surface flow – Rainfall ratio.


2013 ◽  
Vol 10 (12) ◽  
pp. 15375-15408 ◽  
Author(s):  
O. Munyaneza ◽  
A. Mukubwa ◽  
S. Maskey ◽  
J. Wenninger ◽  
S. Uhlenbrook

Abstract. In the last couple of years, different hydrological research projects were undertaken in the Migina catchment (243.2 km2), a tributary of the Kagera river in Southern Rwanda. These projects were aimed to understand hydrological processes of the catchment using analytical and experimental approaches and to build a pilot case whose experience can be extended to other catchments in Rwanda. In the present study, we developed a hydrological model of the catchment, which can be used to inform water resources planning and decision making. The semi-distributed hydrological model HEC-HMS (version 3.5) was used with its soil moisture accounting, unit hydrograph, liner reservoir (for base flow) and Muskingum-Cunge (river routing) methods. We used rainfall data from 12 stations and streamflow data from 5 stations, which were collected as part of this study over a period of two years (May 2009 and June 2011). The catchment was divided into five sub-catchments each represented by one of the five observed streamflow gauges. The model parameters were calibrated separately for each sub-catchment using the observed streamflow data. Calibration results obtained were found acceptable at four stations with a Nash–Sutcliffe Model Efficiency of 0.65 on daily runoff at the catchment outlet. Due to the lack of sufficient and reliable data for longer periods, a model validation (split sample test) was not undertaken. However, we used results from tracer based hydrograph separation from a previous study to compare our model results in terms of the runoff components. It was shown that the model performed well in simulating the total flow volume, peak flow and timing as well as the portion of direct runoff and base flow. We observed considerable disparities in the parameters (e.g. groundwater storage) and runoff components across the five sub-catchments, that provided insights into the different hydrological processes at sub-catchment scale. We conclude that such disparities justify the need to consider catchment subdivisions, if such parameters and components of the water cycle are to form the base for decision making in water resources planning in the Migina catchment.


2017 ◽  
Author(s):  
Aihong Fu ◽  
Weihong Li ◽  
Yaning Chen ◽  
Yuting Liu

The Kaidu-Konqi River Basin was chosen as the study site in this paper in order to investigate suitable scales of natural and artificial oases with a specified water resource and water quantity planned by the local government. Combined with remote-sensing images in 2013, water resources in 2013, 2020 and 2030, and weather and socioeconomic data, suitable scales of oases were analyzed. The results showed that: (1) The total available water quantities in the Yanqi Basin and the Konqi River Basin without river base flow, and the input of water into Bosten Lake and Tarim River, over high-, normal and low-flow periods, in 2020 and 2030, were 19.04×108m3, 10.52×108m3, 4.95×108m3, 9.95×108m3 and 9.95×108m3, as well as 21.77×108m3, 13.95×108m3, 10.11×108m3, 12.50×108m3, and 9.74×108m3. (2) The water demand of the natural oasis in the Yanqi Basin and the Konqi River Basin was 5.33×108m3, and 5.91×108m3, respectively. (3) The total water consumption of the artificial oasis in 2013, 2020, and 2030 were 18.16×108m3, 17.63×108m3 and 17.63×108m3 in the Yanqi Basin, respectively, and 17.11×108m3, 16.54×108m3 and 16.54×108m3 in the Konqi River Basin, respectively. (4) Under government planning, the optimal area in 2020 and 2030 should be 3198.98 km2 in the Yanqi Basin oases, and 3858.87 km2 and 3081.17 km2 in the Konqi River Basin oases, respectively, under the different inflow variations, and 3129.07 km2 in the Yanqi Basin oases, and 3834.58 km2 and 3061.78 km2 in the konqi River Basin oases, respectively, under the appropriate proportion. (5) The natural and artificial oases in these basins should be greatly decreased in the future due to limited water resources.


2017 ◽  
Author(s):  
Aihong Fu ◽  
Weihong Li ◽  
Yaning Chen ◽  
Yuting Liu

The Kaidu-Konqi River Basin was chosen as the study site in this paper in order to investigate suitable scales of natural and artificial oases with a specified water resource and water quantity planned by the local government. Combined with remote-sensing images in 2013, water resources in 2013, 2020 and 2030, and weather and socioeconomic data, suitable scales of oases were analyzed. The results showed that: (1) The total available water quantities in the Yanqi Basin and the Konqi River Basin without river base flow, and the input of water into Bosten Lake and Tarim River, over high-, normal and low-flow periods, in 2020 and 2030, were 19.04×108m3, 10.52×108m3, 4.95×108m3, 9.95×108m3 and 9.95×108m3, as well as 21.77×108m3, 13.95×108m3, 10.11×108m3, 12.50×108m3, and 9.74×108m3. (2) The water demand of the natural oasis in the Yanqi Basin and the Konqi River Basin was 5.33×108m3, and 5.91×108m3, respectively. (3) The total water consumption of the artificial oasis in 2013, 2020, and 2030 were 18.16×108m3, 17.63×108m3 and 17.63×108m3 in the Yanqi Basin, respectively, and 17.11×108m3, 16.54×108m3 and 16.54×108m3 in the Konqi River Basin, respectively. (4) Under government planning, the optimal area in 2020 and 2030 should be 3198.98 km2 in the Yanqi Basin oases, and 3858.87 km2 and 3081.17 km2 in the Konqi River Basin oases, respectively, under the different inflow variations, and 3129.07 km2 in the Yanqi Basin oases, and 3834.58 km2 and 3061.78 km2 in the konqi River Basin oases, respectively, under the appropriate proportion. (5) The natural and artificial oases in these basins should be greatly decreased in the future due to limited water resources.


PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e4943
Author(s):  
Aihong Fu ◽  
Weihong Li ◽  
Yaning Chen ◽  
Yuting Liu

The Yanqi Basin and the Konqi River Basin of the Kaidu-Konqi River Basin were chosen as the study sites in this paper in order to investigate suitable scales of natural and artificial oases with a specified water resource and water quantity planned by the local government. Combined with remote-sensing images from 2013, water resources in 2013, 2025 and 2035, and weather and socioeconomic data, suitable scales of oases were analyzed. The results showed that: (1) The total available water quantities in the Yanqi Basin and the Konqi River Basin without river base flow, and the input of water into Bosten Lake and Tarim River, over high-, normal and low-flow periods, in 2025 and 2035, were 19.04 × 108 m3, 10.52 × 108 m3, 4.95 × 108 m3, 9.95 × 108 m3 and 9.95 × 108 m3, as well as 21.77 × 108 m3, 13.95 × 108 m3, 10.11 × 108 m3, 12.50 × 108 m3, and 9.74 × 108 m3. (2) The water demand of the natural oasis in the Yanqi Basin and the Konqi River Basin was 2.59 × 108 m3, and 4.59 × 108 m3, respectively. (3) The total water consumption of the artificial oasis in 2013, 2025, and 2035 were 10.51 × 108 m3, 10.99 × 108 m3 and 10.74 × 108 m3 in the Yanqi Basin, respectively, and 18.59 × 108 m3, 14.07 × 108 m3 and 13.30 × 108m3 in the Kongqi River Basin, respectively. (4) Under government planning, the optimal area in 2025 and 2035 should be 5,100.06 km2 and 5,096.15 km2 in the Yanqi Basin oases, and 6,008.53 km2 and 4,691.36 km2 in the Konqi River Basin oases, respectively, under the different inflow variations, and 4,972.71 km2 and 4,969.22 km2 in the Yanqi Basin oases, and 5,975.17 km2 and 4,665.67 km2 in the Kongqi River Basin oases, respectively, under the appropriate proportion. (5) The artificial oases in these basins should be greatly decreased in the future due to limited water resources.


Author(s):  
Klaudija Sapač ◽  
◽  
Simon Rusjan ◽  
Nejc Bezak ◽  
Mojca Šraj ◽  
...  

Understanding and prediction of low-flow conditions are fundamental for efficient water resources planning and management as well as for identification of water-related environmental problems. This is problematic especially in view of water use in economic sectors (e.g., tourism) where water-use peaks usually coincide with low-flow conditions in the summer time. In our study, we evaluated various low-flow characteristics at 11 water stations in the non-homogenous Ljubljanica river catchment in Slovenia. Approximately 90% of the catchment is covered by karst with a diverse subsurface, consisting of numerous karst caves. The streams in the remaining part of the catchment have mainly torrential characteristics. Based on daily discharge data we calculated and analyzed values of 5 low-flow indices. In addition, by analyzing hydrograph recession curves, recession constants were determined to assess the catchment’s responsiveness to the absence of precipitation. By using various calculation criteria, we analyzed the influence of individual criteria on the values of low-flow recession constants. Recession curves are widely used in different fields of hydrology, for example in hydrological models, baseflow studies, for low-flow forecasting, and in assessing groundwater storages which are crucial in view of assessing water availability for planning water resources management. Moreover, in the study we also investigated the possible impact of projected climate change (scenario RCP4.5) on low-flow conditions in two sub-catchments of the Ljubljanica river catchment. For the evaluation we used the lumped conceptual hydrological model implemented in the R package airGR. For periods 2011-2040, 2041-2070, and 2071-2100 low-flow conditions were evaluated based on flow duration curves compared with the 1981-2010 period. The lowest discharges at all water stations in the Ljubljanica river catchment occur mostly during the summer months. Our results for the future show that we can expect a decrease of the lowest low-flows in the first two 30-year periods, while in the last one low-flows could increase by approx. 15%. However, the uncertainty/variability of the results is very high and as such should be taken into account when interpreting and using the results. This study demonstrates that evaluation of several low-flow characteristics is needed for a comprehensive and holistic overview of low-flow dynamics. In non-homogeneous catchments with a high karstic influence, the hydrogeological conditions of rivers should also be taken into account in order to adequately interpret the results of low-flow analyses. This proved to be important even in case of neighboring water stations.


Water ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 985 ◽  
Author(s):  
Yi Zhao ◽  
Zhuotong Nan ◽  
Wenjun Yu ◽  
Ling Zhang

Frozen ground and precipitation seasonality may strongly affect hydrological processes in a cold alpine basin, but the calibration of a hydrological model rarely considers their impacts on model parameters, likely leading to considerable simulation biases. In this study, we conducted a case study in a typical alpine catchment, the Babao River basin, in Northwest China, using the distributed hydrology–soil–vegetation model (DHSVM), to investigate the impacts of frozen ground type and precipitation seasonality on model parameters. The sensitivity analysis identified seven sensitive parameters in the DHSVM, amid which soil model parameters are found sensitive to the frozen ground type and land cover/vegetation parameters sensitive to dry and wet seasons. A stratified calibration approach that considers the impacts on model parameters of frozen soil types and seasons was then proposed and implemented by the particle swarm optimization method. The results show that the proposed calibration approach can obviously improve simulation accuracy in modeling streamflow in the study basin. The seasonally stratified calibration has an advantage in controlling evapotranspiration and surface flow in rainy periods, while the spatially stratified calibration considering frozen soil type enhances the simulation of base flow. In a typical cold alpine area without sufficient measured parametric values, this approach can outperform conventional calibration approaches in providing more robust parameter values. The underestimation in the April streamflow also highlights the importance of improved physics in a hydrological model, without which the model calibration cannot fully compensate the gap.


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