scholarly journals KAJIAN PENGARUH SITU TERHADAP RESPON HIDROLOGI DI DAS PESANGGRAHAN MENGGUNAKAN MODEL HEC-HMS

2010 ◽  
Vol 12 (2) ◽  
pp. 11
Author(s):  
Selamet Kusdaryanto ◽  
Dwi Putro Tejo Baskoro ◽  
Suria Darma Tarigan
Keyword(s):  
Model Calibration ◽  
Local Effect ◽  
Peak Discharge ◽  
Hydrological Response ◽  
Reservoir Capacity ◽  
Discharge Data ◽  
Rainfall Condition ◽  
Run Off ◽  
Capacity Change ◽  
Daily Discharge

<p>Pesanggrahan river with total extent of watershed about 13,384 ha is one of rivers flowing through Jakarta City that causes flood problem every years. Many effort has been done to reduce flood problem, among others is to build reservoir in watershed, but the effectiveness of reservoir is still questionable. A research aimed to analyze gap of reservoir capacity changes and its influence on hydrological response and to arrange the scenario of reservoir capacity change to improve hydrological response in Pesanggrahan Watershed was done using HEC-HMS Model. Reservoir capacity change scenarios applied to the actual rainfall condition and designed rainfall condition with a certain recurrence interval. The scenarios consist of: reservoir with the exsisting condition (scenario 1), increase depth of reservoir to 5 meters (scenario 2) and build 6 reservoirs on Pesanggrahan watershed (scenario 3). The model was calibrated using daily discharge data from the date of January 10th to April 30th 2009. Model calibration result shows that model is quite accurate to predict peak discharge in Pesanggrahan Watershed with Nash-Sutcliffe efficiency value = 0.9817 and R2 =0.975. Simulation results showed that the reservoir is effective in decreasing its local effect to peak discharge (reservoir area). The presence of reservoir with existing condition reduce only 6.38 % of the peak run off in outlet Kebon jeruk, whereas building of 6 reservoir will reduce 24.6 % of the peak run off in outlet Kebon jeruk.<br />Keywords : HEC-HMS Model, peak discharge, Reservoir capacity change</p>

scholarly journals Benefits of Combining Satellite-Derived Snow Cover Data and Discharge Data to Calibrate a Glaciated Catchment in Sub-Arctic Iceland

Water ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 975 ◽  
Author(s):  
Julia de Niet ◽  
David Christian Finger ◽  
Arvid Bring ◽  
David Egilson ◽  
David Gustafsson ◽  
...  
Keyword(s):  
Snow Cover ◽  
Model Calibration ◽  
Limited Data ◽  
Snow Cover Area ◽  
Discharge Data ◽  
Sources Of Uncertainty ◽  
Low Degree ◽  
Fractional Snow Cover ◽  
Daily Discharge ◽  
Overall Performance

The benefits of fractional snow cover area, as an additional dataset for calibration, were evaluated for an Icelandic catchment with a low degree of glaciation and limited data. For this purpose, a Hydrological Projections for the Environment (HYPE) model was calibrated for the Geithellnaá catchment in south-east Iceland using daily discharge (Q) data and satellite-retrieved MODIS snow cover (SC) images, in a multi-dataset calibration (MDC) approach. By comparing model results using only daily discharge data with results obtained using both datasets, the value of SC data for model calibration was identified. Including SC data improved the performance of daily discharge simulations by 7% and fractional snow cover area simulations by 11%, compared with using only the daily discharge dataset (SDC). These results indicate that MDC improves the overall performance of the HYPE model, confirming previous findings. Therefore, MDC could improve discharge simulations in areas with extra sources of uncertainty, such as glaciers and snow cover. Since the change in fractional snow cover area was more accurate when MDC was applied, it can be concluded that MDC would also provide more realistic projections when calibrated parameter sets are extrapolated to different situations.

scholarly journals Kalibrasi Model Soil Moisture Accounting dengan Software HEC-HMS di Stasiun Debit Pasir Pangaraian

2021 ◽  
Vol 1 (1) ◽  
pp. 13-21
Author(s):  
Yohanna Lilis Handayani ◽  
Gopal Adya Ariska ◽  
David Imannuel Ketaren
Keyword(s):  
Soil Moisture ◽  
Model Calibration ◽  
Daily Rainfall ◽  
Automatic Calibration ◽  
Calibration Data ◽  
Discharge Data ◽  
Climatological Data ◽  
Soil Moisture Accounting ◽  
Model Soil ◽  
Daily Discharge

This research aims to compare the results of the calibration of the Soil Moisture Accounting (SMA) model using Percent Error in Volume (PEV) and Peak Weighted Root Mean Square Error (RMSE). The SMA model calibration uses the HEC-HMS (Hydrologic Engineering Center – Hydrologic Modeling System). There are 12 calibrated parameters by automatic calibration. The input data are the area of ​​the watershed, daily rainfall, daily discharge data and climatological data. The data used is data from 2008 to 2017. The results show that PEV performance shows good results. While the RMSE showed poor results. PEV results are best at 7 years of calibration and 3 years of verification. The length of the calibration data has not affected the verification results.

Hydrological model calibration with uncertain discharge data

2020 ◽  
pp. 1-16 ◽  
Author(s):  
Ida K. Westerberg ◽  
Anna E. Sikorska-Senoner ◽  
Daniel Viviroli ◽  
Marc Vis ◽  
Jan Seibert
Keyword(s):  
Model Calibration ◽  
Hydrological Model ◽  
Discharge Data

scholarly journals How good are hydrological models for gap-filling streamflow data?

2018 ◽  
Vol 22 (8) ◽  
pp. 4593-4604 ◽  
Author(s):  
Yongqiang Zhang ◽  
David Post
Keyword(s):  
Model Calibration ◽  
Hydrological Model ◽  
Hydrological Models ◽  
Hydrological Response ◽  
Gap Filling ◽  
Annual Streamflow ◽  
Response Variable ◽  
Benchmark Data ◽  
Streamflow Data ◽  
Streamflow Trend

Abstract. Gap-filling streamflow data is a critical step for most hydrological studies, such as streamflow trend, flood, and drought analysis and hydrological response variable estimates and predictions. However, there is a lack of quantitative evaluation of the gap-filled data accuracy in most hydrological studies. Here we show that when the missing data rate is less than 10 %, the gap-filled streamflow data obtained using calibrated hydrological models perform almost the same as the benchmark data (less than 1 % missing) when estimating annual trends for 217 unregulated catchments widely spread across Australia. Furthermore, the relative streamflow trend bias caused by the gap filling is not very large in very dry catchments where the hydrological model calibration is normally poor. Our results clearly demonstrate that the gap filling using hydrological modelling has little impact on the estimation of annual streamflow and its trends.

scholarly journals Benefits and limitations of data assimilation for discharge forecasting using an event-based rainfall–runoff model

2013 ◽  
Vol 13 (3) ◽  
pp. 583-596 ◽  
Author(s):  
M. Coustau ◽  
S. Ricci ◽  
V. Borrell-Estupina ◽  
C. Bouvier ◽  
O. Thual
Keyword(s):  
Data Assimilation ◽  
Hydrological Model ◽  
Peak Discharge ◽  
State Variables ◽  
Rainfall Runoff ◽  
Discharge Data ◽  
Southern France ◽  
Flood Peak ◽  
Event Based ◽  
The Impact

Abstract. Mediterranean catchments in southern France are threatened by potentially devastating fast floods which are difficult to anticipate. In order to improve the skill of rainfall-runoff models in predicting such flash floods, hydrologists use data assimilation techniques to provide real-time updates of the model using observational data. This approach seeks to reduce the uncertainties present in different components of the hydrological model (forcing, parameters or state variables) in order to minimize the error in simulated discharges. This article presents a data assimilation procedure, the best linear unbiased estimator (BLUE), used with the goal of improving the peak discharge predictions generated by an event-based hydrological model Soil Conservation Service lag and route (SCS-LR). For a given prediction date, selected model inputs are corrected by assimilating discharge data observed at the basin outlet. This study is conducted on the Lez Mediterranean basin in southern France. The key objectives of this article are (i) to select the parameter(s) which allow for the most efficient and reliable correction of the simulated discharges, (ii) to demonstrate the impact of the correction of the initial condition upon simulated discharges, and (iii) to identify and understand conditions in which this technique fails to improve the forecast skill. The correction of the initial moisture deficit of the soil reservoir proves to be the most efficient control parameter for adjusting the peak discharge. Using data assimilation, this correction leads to an average of 12% improvement in the flood peak magnitude forecast in 75% of cases. The investigation of the other 25% of cases points out a number of precautions for the appropriate use of this data assimilation procedure.

scholarly journals Spatial and temporal aspects of high streamflow periods within the Danube drainage basin in Bulgaria

2020 ◽  
Vol 11 (1) ◽  
pp. 6-22
Author(s):  
Kalin SEYMENOV ◽  
Keyword(s):  
Drainage Basin ◽  
Threshold Level ◽  
High Flow ◽  
Danube River ◽  
Discharge Data ◽  
Environmental Consequences ◽  
Temporal Aspects ◽  
Daily Discharge ◽  
Spatio Temporal ◽  
Positive Correlations

High flow events are the main prerequisites for floods with negative social and environmental consequences. Their study under uncertain and changing climate gives informative knowledge for further management decisions. This paper seeks to analyze the spatio-temporal parameters of high flow periods within the Danube drainage basin in Bulgaria. Three characteristics of the hazard phenomena: time of occurring, frequency and duration are investigated. The analysis is based on daily discharge data collected from 20 gauging stations for the period 2000–2005. The surplus water quantities are identified by the Threshold level method using fixed values – Q25 and Q5, derived from the flow duration curve. Results show a concentration of the high flow periods during the spring hydrological season, with an average duration up to six weeks. The calculations establish positive correlations between the duration of high flow, the altitude of catchments, and the density of drainage network. The resulting information can serve as a support for the development of preliminary flood risk assessments in the Danube River Basin.

scholarly journals Effects of model calibration on hydrological and water resources management simulations under climate change in a semi-arid watershed

2020 ◽  
Vol 163 (3) ◽  
pp. 1247-1266 ◽  
Author(s):  
Hagen Koch ◽  
Ana Lígia Chaves Silva ◽  
Stefan Liersch ◽  
José Roberto Gonçalves de Azevedo ◽  
Fred Fokko Hattermann
Keyword(s):  
Climate Change ◽  
Water Management ◽  
Water Resources ◽  
Water Resources Management ◽  
Model Calibration ◽  
Arid Regions ◽  
Discharge Data ◽  
Resources Management ◽  
North Eastern ◽  
Semi Arid

AbstractSemi-arid regions are known for erratic precipitation patterns with significant effects on the hydrological cycle and water resources availability. High temporal and spatial variation in precipitation causes large variability in runoff over short durations. Due to low soil water storage capacity, base flow is often missing and rivers fall dry for long periods. Because of its climatic characteristics, the semi-arid north-eastern region of Brazil is prone to droughts. To counter these, reservoirs were built to ensure water supply during dry months. This paper describes problems and solutions when calibrating and validating the eco-hydrological model SWIM for semi-arid regions on the example of the Pajeú watershed in north-eastern Brazil. The model was calibrated to river discharge data before the year 1983, with no or little effects of water management, applying a simple and an enhanced approach. Uncertainties result mainly from the meteorological data and observed river discharges. After model calibration water management was included in the simulations. Observed and simulated reservoir volumes and river discharges are compared. The calibrated and validated models were used to simulate the impacts of climate change on hydrological processes and water resources management using data of two representative concentration pathways (RCP) and five earth system models (ESM). The differences in changes in natural and managed mean discharges are negligible (< 5%) under RCP8.5 but notable (> 5%) under RCP2.6 for the ESM ensemble mean. In semi-arid catchments, the enhanced approach should be preferred, because in addition to discharge, a second variable, here evapotranspiration, is considered for model validation.

scholarly journals Effects of glacier retreat on the outbursts of Goësvatnet, southwest Spitsbergen, Svalbard

1997 ◽  
Vol 43 (144) ◽  
pp. 276-282 ◽  
Author(s):  
W. Schöner ◽  
M. Schöner
Keyword(s):  
Regression Equation ◽  
Peak Discharge ◽  
Glacier Retreat ◽  
Original Form ◽  
Volume Data ◽  
Discharge Data ◽  
Lake Volume ◽  
Outburst Floods ◽  
Peak Discharges ◽  
Progressive Enlargement

AbstractEffects of the retreat of Gåsbreen, southwest Spitsbergen, Svalbard, on the evolution of the ice-dammed lake Goësvatnet are shown for the period 1899-1991. The retreat and lowering of the damming ice masses have changed not only the stored lake volume, the lake geometry and the elevation, slope and length of the subglacial outlet tunnel, but also the frequency and magnitude of outburst floods of Goësvatnet. For the estimation of peak discharges of outburst floods we computed an unbiased regression equation related to the progressive enlargement of subglacial tunnels using lake volume data and peak discharge data from the literature. The derived equation is very similar to the original form of the Clague-Mathews formula and answers the question why this formula has worked well in many cases. Peak discharges of Goësvatnet in various years were estimated by means of the derived equation. Effects of the changed lake geometry as well as the changed length and slope of the subglacial outlet tunnel on the discharge during outbursts will be discussed by means of the Nye-Clarke model. Observation of an outburst of Goësvatnet in summer 1991 indicates that the outbursts may have been triggered by pressure decrease in the subglacial outlet tunnel during increased discharge, whereas flotation of the ice dam can be excluded.

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