Determination of Extreme Hydrological Index using HBV Model Simulation Results (Case Study : Upper Ciliwung Watershed)

Lestari, Isnayulia; Dasanto, Bambang Dwi

doi:10.29244/j.agromet.33.1.20-29

Cited by 5 publications

(3 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Dalam kajian ini proses kalibrasi merupakan proses optimasi nilai parameter model, parameter model HBV yang telah dikalibrasi dapat dilihat pada Tabel 2 sedangkan debit hasil simulasi disajikan pada Gambar 5. Bizuneh et al, (2021) dan Lestari & Dasanto (2019).…”

Section: Optimasi Nilai Parameter Modelunclassified

Respon Model HBV Dan Model Tangki Terhadap Estimasi Debit Aliran Di Das Bogowonto, Jawa Tengah

Andini,

Dasanto,

Santikayasa

2023

JSDA

View full text Add to dashboard Cite

The scarcity of discharge data compared to rainfall data have driven the development of the rainfall-runoff model, such as the HBV and Tank models. This research aims to apply the rainfall-runoff model in the Bogowonto watershed and to assess the model outputs. The research consisted of two main stages: 1) model calibration and validation; 2) model evaluation which assesses the model performance based on the Nash-Sutcliffe Efficiency (NSE) index and the coefficient of determination (R2). The results showed that the pattern of the simulation discharge was in accordance with the observed discharge pattern; indicating performance of both models was good (NSE > 0.7 and R2 > 0.65). However, the performance of both models in the daily simulation, particularly at the beginning of the simulation period, is still not satisfactory as the simulated discharge does not match the observed discharge. In the next simulation period, the discharge of the model results were in accordance with the observed discharge; this means the performance of the model was better. In the monthly simulation, the performance of both models is not yet satisfactory during the wet season, but it is good during the dry season. Based on the results of the daily and monthly simulations, both models demonstrate good performance under low precipitation conditions, but their performance declines under high precipitation conditionsKeywords: Bogowonto watershed; HBV; rainfall-runoff model; simulation; tank ABSTRAKKelangkaan data debit dibandingkan data curah hujan memacu perkembangan model hujan-limpasan, seperti model HBV dan model Tangki. Tujuan penelitian ini adalah menerapkan model hujan-limpasan pada DAS Bogowonto dan menilai luaran hasil model tersebut. Penelitian ini terdiri dari dua tahap. Tahap pertama adalah kalibrasi dan validasi model. Tahap kedua mengevaluasi model, yaitu menilai kinerja model berdasarkan status indeks NSE dan nilai koefisien determinasi. Hasil penelitian menunjukkan bahwa secara umum pola debit simulasi telah sesuai dengan pola debit observasi, ini berarti kinerja kedua model adalah baik (NSE > 0,7 dan R2 > 0,65). Namun, kinerja kedua model dalam simulasi harian, khususnya pada waktu awal simulasi, masih belum baik karena debit simulasi tidak sesuai dengan debit observasi. Pada periode simulasi selanjutnya, debit hasil model telah sesuai dengan debit observasi; artinya, kinerja model telah semakin baik. Dalam simulasi bulanan, saat musim basah kinerja kedua model masih belum baik tetapi saat musim kering kinerja kedua model menunjukkan hasil yang baik. Berdasarkan hasil simulasi harian dan bulanan, kedua model menunjukkan kinerja yang baik saat hujan rendah tetapi saat hujan tinggi kinerja model mengalami penurunan.Kata Kunci: DAS Bogowonto; HBV; model hujan-limpasan; simulasi; tangki

show abstract

Section: Optimasi Nilai Parameter Modelunclassified

Respon Model HBV Dan Model Tangki Terhadap Estimasi Debit Aliran Di Das Bogowonto, Jawa Tengah

Andini,

Dasanto,

Santikayasa

2023

JSDA

View full text Add to dashboard Cite

show abstract

“…With the increased recognition of the importance of feedback mechanisms between land surface processes and climate, there have been sustained efforts to develop more realistic land surface representations to be couple with the general circulation models (GCMs) (Boer et al, 2007;Lestari and Dasanto, 2019;Müller et al, 2021). The current generation of land surface models used in GCMs view the soil column as the fundamental hydrologic unit that effectively ignores the role of topography plays in the development of soil moisture heterogeneity and the subsequent impacts of this soil moisture heterogeneity on watershed evapotranspiration and the partitioning of surface fluxes (Rakovec et al, 2016).…”

Section: Recent Developments In Hydrological Modelingmentioning

confidence: 99%

Non-linear Routing Scheme at Grid Cell Level for Large Scale Hydrologic Models: A Review

Pawitan

Taufik

2021

J.Agromet

View full text Add to dashboard Cite

New tools and concepts in the form of mathematical models, remote sensing and Geographic Information System (GIS), communication and telemetering have been developed for the complex hydrologic systems that permit a different analysis of processes and allow watershed to be considered as an integrated planning and management unit. Hydrological characteristics can be generated through spatial analysis, and ready for input into a distributed hydrologic models to define adequately the hydrological response of a watershed that can be related back to the specific environmental, climatic, and geomorphic conditions. In the present paper, some recent development in hydrologic modeling will be reviewed with recognition of the role of horizontal routing scheme in large scale hydrologic modeling. Among others, these developments indicated the needs of alternative horizontal routing models at grid scale level that can be coupled to land surface parameterization schemes that presently still employed the linear routing model. Non-linear routing scheme will be presented and discussed in this paper as possible extension.

show abstract

“…Climate related studies in Indonesia showed that extreme weather events are closely related to various natural disasters, such as drought (King et al, 2016;Surmaini et al, 2018;Taufik et al, 2020Taufik et al, , 2017, floods (Lestari and Dasanto, 2019;Narulita and Ningrum, 2018), and frost (Pradana et al, 2018a(Pradana et al, , 2018b. The disasters influence many sectors in Indonesia specially the agricultural sector (Amalo et al, 2017;Kim et al, 2019;Kuswanto et al, 2019;Lesk et al, 2016;Mulyaqin, 2020), which indirectly affect national economic conditions (Boer and Surmaini, 2020;Chatzopoulos et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Frost Predictions in Dieng using the Outputs of Subseasonal to Seasonal (S2S) Model

Aini

Faqih

2021

J.Agromet

View full text Add to dashboard Cite

Dieng volcanic highland, where located in Wonosobo and Banjarnegara regencies, has a unique frost phenomenon that usually occurs in the dry season (July, August, and September). This phenomenon may attract tourism, but it has caused losses to farmers due to crop damage. Information regarding frost prediction is needed in order to minimize the negative impact of this extreme event. This study evaluates the potential use of the Subseasonal to Seasonal (S2S) forecast dataset for frost prediction, with a focus on two areas where frost usually occurs, i.e. the Arjuna Temple and Sikunir Hill. Daily minimum air temperature data used to predict frost events was from the outputs of the ECMWF model, which is one of the models contributed in the Subseasonal to Seasonal prediction project (S2S). The minimum air temperature observation data from the Banjarnegara station was used in conjunction with the Digital Elevation Model Nasional (DEMNAS) data to generate spatial data based on the lapse rate function. This spatial data was used as a reference to downscale the ECMWF S2S data using the bias correction approach. The results of this study indicated that the bias-corrected data of the ECMWF S2S forecast was able to show the spatial pattern of minimum air temperature from observations, especially during frost events. The S2S prediction represented by the bias-corrected ECMWF model has the potential for providing early warning of frost events in Dieng, with a lead time of more than one month before the event.

show abstract

Determination of Extreme Hydrological Index using HBV Model Simulation Results (Case Study : Upper Ciliwung Watershed)

Cited by 5 publications

References 13 publications

Respon Model HBV Dan Model Tangki Terhadap Estimasi Debit Aliran Di Das Bogowonto, Jawa Tengah

Respon Model HBV Dan Model Tangki Terhadap Estimasi Debit Aliran Di Das Bogowonto, Jawa Tengah

Non-linear Routing Scheme at Grid Cell Level for Large Scale Hydrologic Models: A Review

Frost Predictions in Dieng using the Outputs of Subseasonal to Seasonal (S2S) Model

Contact Info

Product

Resources

About