Abstract. The Kapuas River delta is a unique estuary system on the western coast of the island of Borneo, Indonesia. Its hydrodynamics are driven by an interplay
between storm surges, tides, and river discharges. These interactions are likely to be exacerbated by global warming, leading to more frequent
compound flooding in the area. The mechanisms driving compound flooding events in the Kapuas River delta remain, however, poorly known. Here we
attempt to fill this gap by assessing the interactions between river discharges, tides, and storm surges and how they can drive a compound
inundation over the riverbanks, particularly within Pontianak, the main city along the Kapuas River. We simulated these interactions using the
multi-scale hydrodynamic model SLIM (Second-generation Louvain-la-Neuve Ice-ocean Model). Our model correctly reproduces the Kapuas River's hydrodynamics and its interactions with tides and storm surge
from the Karimata Strait. We considered several extreme-scenario test cases to evaluate the impact of tide–storm–discharge interactions on the
maximum water level profile from the river mouth to the upstream part of the river. Based on the maximum water level profiles, we divide the Kapuas
River's stream into three zones, i.e., the tidally dominated region (from the river mouth to about 30 km upstream), the transition region
(from about 30 km to about 150 km upstream), and the river-dominated region (beyond 150 km upstream). Thus, the local water
management can define proper mitigation for handling compound flooding hazards along the riverbanks by using this zoning category. The model also
successfully reproduced a compound flooding event in Pontianak, which occurred on 29 December 2018. For this event, the wind-generated surge
appeared to be the dominant trigger.
AbstrakPenelitian ini bertujuan untuk menentukan nilai gap terbaik dari salah satu parameter gap yang digunakan untuk mereduksi short-period multiple dengan metode dekonvolusi prediktif. Variasi nilai gap yang digunakan adalah 4, 8, 12, 16, 20, 24, 28, dan
AbstrakPenelitian ini mengkaji tentang analisa citra mammogram dengan menggunakan metode analisis fraktal. Pengolahan citra dimulai dengan mengubah citra berwarna menjadi citra grayscale, kemudian dilanjutkan dengan proses thresholding untuk mendapatkan citra biner. Proses selanjutnya adalah hitung dimensi fraktal dari citra biner tersebut dengan metode box counting. Hasil penelitian menentukan bahwa citra mammogram normal memiliki dimensi fraktal antara 1,683 hingga 1,796, citra mammogram tumor jinak memiliki dimensi fraktal antara 1,837 hinggga 1,889, dan citra mammogram kanker (tumor ganas) dengan dimensi fraktal antara 1,907 hingga 1,908. Hasil penelitian ini menunjukkan bahwa dimensi fraktal dapat digunakan untuk membedakan citra mammogram normal dan citra mammogram abnormal (tumor dan kanker).
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