Sains Malaysiana 50(7)(2021): 1843-1856

http://doi.org/10.17576/jsm-2021-5007-02

 

A Comparative Flood Frequency Analysis of High-Flow between Annual Maximum and Partial Duration Series at Sungai Langat Basin

(Suatu Perbandingan Analisis Kekerapan Banjir Aliran Tinggi antara Siri Maksimum Tahunan dan Siri Tempoh Separa di Lembangan Sungai Langat)

 

FIRDAUS MOHAMAD HAMZAH*, HAZRINA TAJUDIN & OTHMAN JAAFAR

 

Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor Darul Ehsan, Malaysia

 

Diserahkan: 14 Ogos 2020/Diterima: 30 November 2020

 

ABSTRACT

Flood frequency analysis should consider small and frequent floods. Despite the complexities in partial duration series implementation, it can give a better flood estimation in a way that it does not exclude any significant high flow events, even if it is not the highest event of the year. This study employs the streamflow data recorded at Kajang station, Sungai Langat, Malaysia over a 36-year period spanning from 1978 to 2013. The paper attempts to conduct flood frequency analysis using two approaches, annual maximum and partial duration series. The optimal threshold value is selected to be 48.7 m3/s, where the dispersion index stabilizes at around 1, DI = 1 . The results have shown that generalized extreme value (GEV) distribution describes the annual maximum data while the lognormal (LN3) and generalized Pareto (GPA) distribution is chosen as the best fit distribution at Kajang station for a partial duration series. There is a slight difference between estimated streamflow magnitude when using GPA and LN3 for selected return periods, while a considerable difference was observed when using annual maximum at a higher return period. As a conclusion, PDS gives more relevant magnitude estimation rather than AMS. Flood frequency plays an important role in understanding the nature and magnitude of high flow, which in turn can assist relevant agencies in the design of hydrological structures and reduce flood impacts.

 

Keywords: Flood frequency analysis; generalized extreme value; generalized Pareto; Sungai Langat; three-parameter lognormal

 

ABSTRAK

Analisis kekerapan banjir harus mempertimbangkan kejadian banjir dengan magnitud kecil dan kerap. Walaupun terdapat kerumitan dalam pelaksanaan data siri separa, ia memiliki kemampuan untuk memberikan anggaran banjir yang lebih baik, dengan tidak mengecualikan kejadian aliran tinggi yang signifikan, walaupun ia bukan peristiwa tertinggi tahun ini. Kajian ini menggunakan data aliran yang direkodkan di stesen Kajang, Sungai Langat, Malaysia dalam jangka masa 36 tahun yang merangkumi tahun 1978 hingga 2013. Objektif utama kajian ini adalah menjalankan analisis kekerapan banjir menggunakan dua pendekatan iaitu data tahunan maksimum dan data siri separa. Nilai ambang optimum dipilih menjadi 48.7 m3/s dengan indeks penyebaran stabil pada sekitar 1, DI = 1. Taburan nilai ekstrim teritlak (GEV) menerangkan data maksimum tahunan sementara taburan lognormal dan Pareto teritlak dipilih sebagai taburan yang paling sesuai di stesen Kajang untuk data siri separa. Terdapat sedikit perbezaan antara magnitud aliran dengan menggunakan taburan Pareto teritlak dan lognormal untuk tempoh pulangan yang dipilih. Manakala, perbezaan yang cukup besar dapat dilihat apabila menggunakan data tahunan maksima terutamanya pada tempoh pulangan yang lebih tinggi. Secara kesimpulan, PDS memberikan anggaran magnitud yang lebih relevan berbanding AMS. Kekerapan banjir memainkan peranan penting dalam memahami sifat dan besarnya aliran tinggi, yang seterusnya dapat membantu agensi yang berkaitan dalam merancang struktur hidrologi dan mengurangkan kesan kejadian banjir.

 

Kata kunci: Analisis kekerapan banjir; lognormal tiga-parameter; nilai ekstrim teritlak; Pareto teritlak; Sungai Langat

 

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*Pengarang untuk surat-menyurat; email: fir@ukm.edu.my

 

 

 

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