Morphometric analysis of Ciliwung river and identification of suitable locations to build artificial dams for flood mitigation

Abstract

Flood caused by overflowing water from river has become a major issue in Southeast Asia, as it has caused economic losses and deaths. Therefore, the present work aims to propose an alternative approach for morphometric analysis of the Ciliwung River Upper Stream (CRU) without the geographic information system technique use for flood prevention strategy application. For the river network simulation, an agent‐based model having several rules in terms of agent, landscaping, and action was adopted. In addition, the river morphometric characteristics, namely, river network, river order, bifurcation ratio, length‐order ratio, fractal dimension, watershed density, and river capacity were estimated. It was found that the proposed technique was able to estimate the river morphometric characteristics of CRU. CRU has the river order, bifurcation ratio, length‐order ratio, fractal dimension, watershed density, and river capacity of 4, 1.1–2.5, 0.6–1.1, 1.84, 0.01 km km–2, and 1,404,060 L, respectively. It was also identified four suitable locations to build artificial dams for flood prevention strategy by employing the presently proposed technique. The proposed artificial dams with heights ranging from 10 m to 25 m demonstrated to have capability to prevent flood in the capital city of Jakarta, Indonesia.

Catchment Morphometric Characterization of the Akaki River in the Upper Awash Sub-Basin, Ethiopia

“…Accordingly, about seven stream orders for an area of 1500 km 2 Akaki watershed and the total stream length ranges 2204 kms (Table 2 below.) Therefore, having these catchment data, we can compute equations for different characteristics of the watershed using equations [1][2][3][4][5][6].…”

Developing green technologies for environmental sustainability and quality

“…Alatas et al. (2022) proposed a new concept of morphometric analysis of Ciliwung river by using agent‐based modeling for water resource management. The study successfully modeled complex characteristics of the river and identified locations to build artificial dams which could be implemented for water resource and flood prevention management.…”