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Indarto Indarto

Univeristy of Jember

Author-ID : 3170078

Environmental Science

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KARAKTERISTIK HIDROLOGI PADA DUA DAS KECIL DI WILAYAH UPT PSDA DI SURABAYA : ANALISIS MENGGUNAKAN INDICATORS OF HYDROLOGIC ALTERATION (IHA) Indarto Indarto; Isfi roni Rohman; Idah Andriyani
Jurnal Ilmu Lingkungan Vol 17, No 1 (2019): April 2019
Publisher : School of Postgraduate Studies, Diponegoro Univer

This research proposes to evaluate whether there has been a change in hydrological regimes of the watershed. The research was conducted at the the administrative area of UPT PSDA Surabaya. Furthermore, Surabaya-Perning and Lamong-Simoanggrok watersheds were used as a sample for this study. The analysis was conducted using the Indicator of Hydrologic Alteration (IHA). The main input is the daily discharge data series from the two watersheds. The discharge data range from 1996 to 2015. Then, the time series data is divided into two periods, the pre-impact period (1996-2005) and the post-impact period (2006-2015). A total of 33 IHA parameters classified into 5 categories were used to evaluate the change. The results of the assessment are then used for RVA (Range of Variable approach) calculations. RVA calculations were used to discover changes occurring from the pre-impact period to the post-impact period. The data series from the two watersheds also analyzed using Environmental Flow Components (EFC) and Flow Duration Curves (FDC). The result of the research shows the difference in parameter value that indicating the hydrological change between the pre-impact period and the post-impact period. RVA analysis results show an increased flow in the Surabaya-Perning watershed from January to September and December. RVA analysis results also show an increased flow in the Lamong-Simoanggrok watershed from January to July and December. The results of the EFC analysis can provide information about flows that have the potential to cause floods and droughts. The Surabaya-Perning watershed has the potential to encounter a small flood with a value 254,7 m3/s which last for 9 days with a chance of occurring 0,5 times every 2 years.

Prediksi Erosi di Wilayah Jawa Timur Rhoshandhayani Koesiyanto Taslim; Marga Mandala; Indarto Indarto
Jurnal Ilmu Lingkungan Vol 17, No 2 (2019): Agustus 2019
Publisher : School of Postgraduate Studies, Diponegoro Univer

Erosion is an event of eroding soil that occurs naturally. However, human activities that change land use from natural (forestry, plantation, rural areas) to urban features can alter the erosion processes. Rapid calculation of erosion level for the wide area is necessary for the management and conservation planning. This research aims to analyze the erosion level in East Java area using USLE (Universal Soil Loss Equation) and GIS. The erosivity factor (R) is calculated from rainfall data. Vegetation factor (C) and the conservation factor (P) estimated from land use map. The length and slope factor (LS) are calculated from the ASTER GDEM2, and the erodibility factor (K) is obtained from interpretation of soil map. Furthermore, all factors were analysed to calculate erosion rate. The result shows that the average erosion rate in East Java regions is 10,30 tons/ha/year. The result also show that 78,71% area of East Java is classified as very low erosion rate (0-15 tons/ha/year); 10,75% classified as low erosion rate (15-60 tons/ha/year); 6,39% classified as moderate erosion rate (60-180 tons/ha/year); and 2,83% is severe type (180-480 tons/ha/year). Only 1,31% from the total area is classified as very severe erosion rate (>480 tons/ha/year). The result also shows that USLE can be used to facilitate rapid erosion prediction for wide area.

Kecenderungan dan Perubahan Hujan Ekstrem Harian di Pulau Madura Ahmad Nur Akma Juangga Fura; Retno Utami Agung Wiyono; Indarto Indarto
Jurnal Ilmu Lingkungan Vol 18, No 1 (2020): April 2020
Publisher : School of Postgraduate Studies, Diponegoro Univer

Madura is prone to high level of flood hazard. One of the main causes of floods is the extreme rainfall. Global warming allows changes in the amount of extreme rainfall. This research was conducted to identify and analyze trends, changes, and randomness of the maximum period of 24-hour extreme rainfall data on Madura Island. The method used was a non-parametric method which includes the Median Crossing test, the Mann-Kendall test, and the Rank-Sum test at the significance level of α =0.05. There were 31 rain gauge stations that were selected out of 66 rain gauge stations which has 20 consecutive years period rainfall data. The period of rainfall observation data was between 1991-2015. The highest extreme daily rainfall data was observed at Ketapang station (430 mm) while the lowest extreme daily rainfall data was observed at Saronggi Station (25 mm). It was found that the west side of Madura Island and the mountain area show higher value of extreme daily rainfall than other area. High intensity of rainfall (> 100 mm) was occurred in Arosbaya, Ketapang and Ambunten stations while other three stations showed lower intensity of rainfall (Tragah, Larangan and Saronggi). The results of the analysis showed that based on the Median Crossing test, most rain stations have data originating from random processes. A small part of the rain stations was analyzed based on the Mann-Kendal test and the Rank-Sum test. The result showed that the maximum 24-hour extreme rain trend was significantly decreased in a few locations (Kamal, Ketapang, dan Ganding), while most stations (26 stations) have no experience a significant trend.

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