Analysis of Runoff Coefficient Value on Retention Ponds in Flores Island

Krisnayanti, Denik Sri; Bunganaen, Wilhelmus; Hangge, Elsy E.; Munaisyah, Farah; Nursyam, Nurul A.; Khaerudin, Dian Noorvy

doi:10.21776/ub.civense.2019.00102

Cited by 3 publications

(4 citation statements)

References 2 publications

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“…Kabupaten Timor Tengah Selatan terletak di Pulau Timor yang memiliki tinggi curah hujan tahunan rata-rata berkisar 1500 mm per tahun (Krisnayanti & Bunganaen, 2018). Musim hujan terjadi pada Bulan Desember -Maret (4 bulan) dengan curah hujan rata-rata bulanan berkisar 300 -500 mm.…”

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“…Musim hujan terjadi pada Bulan Desember -Maret (4 bulan) dengan curah hujan rata-rata bulanan berkisar 300 -500 mm. Untuk musim kemarau yang terjadi pada Bulan April -November (8 bulan), tinggi curah hujan bulanan berkisar 30 -60 mm (Krisnayanti & Bunganaen, 2018 Data curah hujan menjadi sangat penting dalam proses analisis hidrologi. Sebagian besar fenomena hidrologis yang kompleks terjadi karena variabilitas temporal dan spasial pada data curah hujan.…”

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Evaluasi Kesesuaian Data Tropical Rainfall Measuring Mission (TRMM) dengan Data Pos Hujan Pada Das Temef di Kabupaten Timor Tengah Selatan

Krisnayanti

Welkis

Hepy

et al. 2020

JSDA

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The construction of the Temef Dam in Oenino Village, Oenino District, and Konbaki Village, Polen District, South Central Timor Regency requires long and reliable rainfall data. To overcome the minimum data or the unavailability of automatic rainfall (ARR) and discharge data in the past decades, the use of Tropical Rainfall Measuring Mission (TRMM) satellite data is foreseen. The accuracy of TRMM data is obtained when the parameters of suitability and compatibility of TRMM are in a good agreement with the ARR. For the Temef watershed, there are six rainfall stations that were reviewed, namely Fatumnasi, Oeoh, Noelnoni, Polen, Nifukani, and Batinifukoko rainfall stations. Direct comparisons of rainfall data were conducted for 20 years (1998-2018) with temporal resolution on a monthly and daily basis. The results of the study show that the rainfall patterns in the TRMM data product (version 3B42V7) tend to be consistent with 3 rainfall stations in the Temef watershed namely Noelnoni, Fatumnasi, and Batinifukoko. A correlation coefficient of 0.505 – 0.813 was obtained from TRMM data calibration at monthly basis while a correction factor level of 0.0056 - 0.0129 was obtained for daily. The calibration on the annual maximum daily rainfall data resulted in a correction factor of 0.0298 - 0.2516. Monthly and daily TRMM data fit well with the data of 3 rainfall stations. However, the Noelnoni rainfall station showed poor results on the annual maximum daily rainfall.Keywords: TRMM data, ARR data, correction factor, correlation coefficient

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Evaluasi Kesesuaian Data Tropical Rainfall Measuring Mission (TRMM) dengan Data Pos Hujan Pada Das Temef di Kabupaten Timor Tengah Selatan

Krisnayanti

Welkis

Hepy

et al. 2020

JSDA

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“…The longer the recording period, the better the results will be. Many researchers ( Setyawan, Lee & Prawitasari, 2016 ; Putro, 2016 ; Sebayang & Trianing, 2018 ; Chandrasasi, Limantara & Juni, 2020 ; Maulana, Suhartanto & Harisuseno, 2019 ; Krisnayanti et al, 2019 ; Dinar, Agus & Sarino, 2020 ) have used the Mock model to assess water discharges or availability of watersheds. Generally, these studies found the Mock model suitable for evaluating the water balance in specific watersheds.…”

Section: Methodsmentioning

confidence: 99%

Drought and water availability analysis for irrigation and household water needs in the Krueng Jrue sub-watershed

Basri

Sufardi

Helmi

et al. 2023

PeerJ

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This study aimed to analyze drought conditions and evaluate irrigation water availability and household water needs in the Krueng Jrue sub-watershed, Aceh Province, Indonesia. The Z-score statistics method was developed to analyze the drought, and the Mock model was used to generate discharges. We performed model validation using linear regression, which produced a coefficient of determination (R2 = 0.90**) and coefficient of regression (r = 0.95**). In general, this area had a normal Z-score for precipitation (ZSP) class with 90 events (75%) and a normal Z-score for a discharge (ZSD) class with 89 events (74.2%). There were 0–11 (0–9.2%) moderate wet, very wet, extreme wet, moderate drought, and severe drought events. The consistency between the ZSP and ZSD indices reached 85.8%, indicating consensus between the meteorological droughts that were analyzed based on rainfall (ZSP) and hydrological droughts analyzed based on water discharge (ZSD). ZSP and ZSD indices showed negative values during the dry season (April to September) and positive values during the rainy season (October to March). There was a surplus of water availability for irrigation and household water needs during the rainy season and a deficit during the dry season. However, water deficits also occurred in certain months during the rainy rendeng planting season, for example, in October 2009, 2013, 2016, and 2017 as well as in February between 2008 to 2011 and from 2014 to 2017. This observation was probably due to the influence of global climate variables that need to be substantiated. This study offers necessary information for farmers, the community, and the local government when anticipating drought phenomenon, organizing the rice planting season, and evaluating water availability in other watersheds.

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“…The highest C value occurs in the month with the highest rainfall (P) reaching 625.0 mm/month as shown in Table 2. The surface runoff coefficient (Cs) value is smaller than the total runoff coefficient (C) which can reach 0.50-0.70, due to the additional base flow [13]. The average value of Cs indicates that around 28% of rainfall that occurred in the study area is transformed into surface runoff.…”

Section: Fig 4 Rainfall-runoff Correlation In Study Areamentioning

confidence: 96%

Assessment of Surface Runoff Potency under Tropical Environment for Soil and Water Conservation Planning

Khoirotunnisa,

Nafisa,

Setyawan

et al. 2023

BIO Web Conf.

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Water is essential for living organisms, including crops. Its presence is a crucial factor for agriculture. Soil and water conservation is an effort to sustainably maintain the availability of water, thereby meeting the water needs of crops in the agricultural sector. This research aims to estimate the potency of surface runoff as a hydrological indicator of watershed critically for soil and water conservation purposes. A hydrological tank model was used to estimate surface runoff. The results showed a potential for surface runoff of approximately 133.82 mm/month, occurring primarily during the peak rainy season from December to April. Soil and water conservation (SWC) technology using water harvesting ponds (WHP) on farmland was proposed to store surface runoff. Data analysis indicates that the use of WHP provides significant benefits from environmental and economic aspects. Based on an average WHP storage capacity of 10 m³, approximately 40% of the total watershed area is required for constructing water harvesting structures to accommodate all surface runoff. Harvesting all surface runoffs increases the base flow during the dry season by 225.14 mm. This study serves as a valuable reference for soil and water conservation planning, particularly in tropical watersheds.

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Analysis of Runoff Coefficient Value on Retention Ponds in Flores Island

Cited by 3 publications

References 2 publications

Evaluasi Kesesuaian Data Tropical Rainfall Measuring Mission (TRMM) dengan Data Pos Hujan Pada Das Temef di Kabupaten Timor Tengah Selatan

Evaluasi Kesesuaian Data Tropical Rainfall Measuring Mission (TRMM) dengan Data Pos Hujan Pada Das Temef di Kabupaten Timor Tengah Selatan

Drought and water availability analysis for irrigation and household water needs in the Krueng Jrue sub-watershed

Assessment of Surface Runoff Potency under Tropical Environment for Soil and Water Conservation Planning

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