SIMULASI POLA OPERASI EMBUNG SERBAGUNA TAMBAKSARI KABUPATEN CILACAP DENGAN METODE STANDARD OPERATING RULE (SOR)

2020 ◽  
Vol 14 (2) ◽  
pp. 25
Author(s):  
Ines Epti Noniasari ◽  
Puji Utomo

Abstract Human survival depends on water availability as water is a basic needs. As population increases, water becomes more limited. One of the ways to prevent draught is collecting water in retention basin. Tambaksari Multipurpose Retention Basin serves to provide basic water demand and irrigation water for the local community. Water availability and water demand should be equal, so a simulation of the operating patter of the retention basin is necessary to distribute water equally and determining the failure level of the retention basin in performing its task. In the present study, the retention basin operating pattern was simulated using Standard Operating Rule (SOR) method. The present study used secondary data, including population data, rainfall data, climatological data and technical data of the retention basin. The size of DAS Tambaksari is 0.41 km² while the size of the irrigated land is 12 Ha. The rainfall data was from 2008-2018 obtained from two rain stations, population data of Tambaksari Village was from 2008-2019, and the climatological data was from 2014-2019. The simulation result of the retention basin operating pattern using SOR method showed that the final collection wasn’t under minimum collection and failure happened in the operation of the retention basin for one year. . The optimal ability of the target release is 70.83% for the reliability of irrigation needs and the level of reliability for raw water needs of 58.33%. Population projection analysis to determine the population in 20 years showed that the future population of 4044 required 3.861 l/person/s of water. Irrigation demands for rice-rice-palawija planting pattern showed that irrigation intake was 11.89 l/s. Water balance determined the balance between inflow and outflow. The value for average water availability was 0.021 m³/s while total average water demand was 0.016 m³/s. therefore, the water availability in partial intake wasn’t able to meet the irrigation and basic water demands. Keywords: discharge, retention basin operation simulation, SOR

2021 ◽  
Vol 14 (2) ◽  
pp. 25
Author(s):  
Ines Epti Noniasari ◽  
Puji Utomo

Abstract Human survival depends on water availability as water is a basic needs. As population increases, water becomes more limited. One of the ways to prevent draught is collecting water in retention basin. Tambaksari Multipurpose Retention Basin serves to provide basic water demand and irrigation water for the local community. Water availability and water demand should be equal, so a simulation of the operating patter of the retention basin is necessary to distribute water equally and determining the failure level of the retention basin in performing its task. In the present study, the retention basin operating pattern was simulated using Standard Operating Rule (SOR) method. The present study used secondary data, including population data, rainfall data, climatological data and technical data of the retention basin. The size of DAS Tambaksari is 0.41 km² while the size of the irrigated land is 12 Ha. The rainfall data was from 2008-2018 obtained from two rain stations, population data of Tambaksari Village was from 2008-2019, and the climatological data was from 2014-2019. The simulation result of the retention basin operating pattern using SOR method showed that the final collection wasn’t under minimum collection and failure happened in the operation of the retention basin for one year. . The optimal ability of the target release is 70.83% for the reliability of irrigation needs and the level of reliability for raw water needs of 58.33%. Population projection analysis to determine the population in 20 years showed that the future population of 4044 required 3.861 l/person/s of water. Irrigation demands for rice-rice-palawija planting pattern showed that irrigation intake was 11.89 l/s. Water balance determined the balance between inflow and outflow. The value for average water availability was 0.021 m³/s while total average water demand was 0.016 m³/s. therefore, the water availability in partial intake wasn’t able to meet the irrigation and basic water demands. Keywords: discharge, retention basin operation simulation, SOR


2013 ◽  
Vol 10 (12) ◽  
pp. 14617-14644 ◽  
Author(s):  
I. E. Issa ◽  
N. A. Al-Ansari ◽  
G. Sherwany ◽  
S. Knutsson

Abstract. Iraq is one of the riparian countries within basins of Tigris–Euphrates Rivers in the Middle East region. The region is currently facing water shortage problems due to the increase of the demand and climate changes. In the present study, average monthly water flow measurements for 15 stream flow gaging stations within basins of these rivers in Iraq with population growth rate data in some of its part were used to evaluate the reality of the current situation and future challenges of water availability and demand in Iraq. The results showed that Iraq receives annually 70.29 km3 of water 45.4 and 25.52 km3 from River Tigris and Euphrates respectively. An amount of 18.04 km3 is supplied by its tributaries inside Iraq. The whole amount of water in the Euphrates Rivers comes outside the Iraqi borders. Annual decrease of the water inflow is 0.1335 km3 yr−1 for Tigris and 0.245 km3 yr−1 for Euphrates. This implies the annual percentage reduction of inflow rates for the two rivers is 0.294 and 0.960% respectively. Iraq consumes annually 88.89% (63.05 km3) of incoming water from the two rivers, where about 60.43 and 39.57% are from Rivers Tigris and Euphrates respectively. Water demand increases annually by 0.896 km3; of which 0.5271 and 0.475 km3 within Tigris and Euphrates basins respectively. The average water demand in 2020 will increase to 42.844 km3 yr−1 for Tigris basin and for Euphrates 29.225 km3 yr−1 (total 72.069 km3 yr−1), while water availability will decrease to 63.46 km3 yr−1. This means that the overall water shortage will be restricted to 8.61 km3.


2017 ◽  
Vol 23 (1) ◽  
pp. 29 ◽  
Author(s):  
Bertha Silvia Pratiwi ◽  
Sri Sangkawati Sachro ◽  
Suharyanto Suharyanto

The availability of historical data used in hydrological analysis is often incomplete and very short, so the information obtained from the data is also very little. If continue to use incomplete historical data or a little period of time, the analysis results will not match the circumstances in the field. Hydrology analysis in planning of Embung Suruhan uses rainfall data from Jiken Station, Blora Station and Bogorejo Station from 1986-2006 and climatology data of Tempuran Reservoir Station 1986-2005 with 4.6 million m3. The next study, capacity 6.69 million m3 with rainfall data from five stations, namely: Blora station, Jiken, Gayam, Greneng, and Tempuran from 1997-2012 and climatological data of Tempuran Reservoir and Kedung Ombo Reservoir. This research is to get the requirement of optimal irrigation with forecasting of discharge data and simulation of initial variation of planting and some scenario type of planting pattern from Embung Suruhan. Discharge was analyzed by Mock method and then raised up to 25 years with Thomas Fiering model and to get the water availability used Basic Year. The discharge data has characteristics that are close to historical data and in 2018 as the basic year used for water availability.


2019 ◽  
Vol 17 (3) ◽  
pp. 452
Author(s):  
Isvan Taufik

Water balance is an estimate of the availability and needs of water in a watershed area. The water balance is very important considering the human need for water resources is a major requirement. The purpose of this study includes; (1) Analyzing the distribution of the influence of rainfall observation stations in each of the Ciliman sub-watersheds, (2) Analyzing the mainstay discharge in each Ciliman sub-watershed, and (3) Analyzing the potential availability of raw water in the Ciliman watershed. The types of data used in this study are secondary data including: (1) monthly rainfall data from 4 rainfall observation stations included in the Ciliman watershed, (2) climatological data from BMKG Taktakan Serang Station in 1998-2015, (3) Map of Watershed Ciliman and (4) Population data. Data analysis methods used include; regional rainfall analysis, analysis of water availability (evapotranspiration analysis, Mock model analysis), and analysis of water requirements. The results of the analysis showed that the highest rainfall occurred in January, and the lowest rainfall occurred in August. Overall, the water available in the Ciliman watershed is sufficient with the peak occurring at the beginning and end of the year. Water availability is estimated based on surface water discharge, where peak discharge occurs in January and minimum discharge occurs in August. The water balance in general in the Ciliman watershed is quite high with the highest water debit of 61.75 m3/s occurring in March and the lowest (minimum) discharge around 5.26 m3/s in August. The total water requirement for the Ciliman watershed area is 38.86 m3/s, consisti of; Water demand for irrigation is the highest water requirement reaching 37.96 m3 s with a total irrigated area reaching 5,423 hectares. Domestic water needs are 0.48 m3/s with a total population of 314,524 people served. Water requirements for industry are 0.000040 m3/s or relatively relatively small. While the water demand for the Tanjung Lesung Special Economic Zone is 0.42442 m3/s.


2011 ◽  
Vol 15 (12) ◽  
pp. 3785-3808 ◽  
Author(s):  
Y. Wada ◽  
L. P. H. van Beek ◽  
M. F. P. Bierkens

Abstract. During the past decades, human water use has more than doubled, yet available freshwater resources are finite. As a result, water scarcity has been prevalent in various regions of the world. Here, we present the first global assessment of past development of water stress considering not only climate variability but also growing water demand, desalinated water use and non-renewable groundwater abstraction over the period 1960–2001 at a spatial resolution of 0.5°. Agricultural water demand is estimated based on past extents of irrigated areas and livestock densities. We approximate past economic development based on GDP, energy and household consumption and electricity production, which are subsequently used together with population numbers to estimate industrial and domestic water demand. Climate variability is expressed by simulated blue water availability defined by freshwater in rivers, lakes, wetlands and reservoirs by means of the global hydrological model PCR-GLOBWB. We thus define blue water stress by comparing blue water availability with corresponding net total blue water demand by means of the commonly used, Water Scarcity Index. The results show a drastic increase in the global population living under water-stressed conditions (i.e. moderate to high water stress) due to growing water demand, primarily for irrigation, which has more than doubled from 1708/818 to 3708/1832 km3 yr−1 (gross/net) over the period 1960–2000. We estimate that 800 million people or 27% of the global population were living under water-stressed conditions for 1960. This number is eventually increased to 2.6 billion or 43% for 2000. Our results indicate that increased water demand is a decisive factor for heightened water stress in various regions such as India and North China, enhancing the intensity of water stress up to 200%, while climate variability is often a main determinant of extreme events. However, our results also suggest that in several emerging and developing economies (e.g. India, Turkey, Romania and Cuba) some of past extreme events were anthropogenically driven due to increased water demand rather than being climate-induced.


Agromet ◽  
2011 ◽  
Vol 25 (1) ◽  
pp. 9
Author(s):  
Siti Nurdhawata ◽  
Bambang Dwi Dasanto

<em>Generally, reservoir can overcome problem of water availability in particular region. The reservoir collects excess water during rainy season to be used at the time of water shortage during dry season. In Pidie, the largest water sources are from Krueng Baro Geunik and Krueng Tiro. The reservoir is located at Krueng Rukoh with Krueng Tiro as the source of water supply. The reservoir provides water for irrigating and supplying domestic water in Baro (11.950 ha) and Tiro (6.330 ha) areas. There are 13 districts (216718 inhabitants) use the water from this reservoir. Given the population growing at rate of 0.52% then the water demand in the region increases. The aim of study was to estimate the volume of water entering the reservoir using the tank model. Calibration curve between the tank model output and observation data showed good correlation (R<sup>2</sup> = 0.7). The calibrated model was then used to calculate the discharge at Krueng Baro Geunik. A water balance analysis showed that the highest deficit occurred in September and the highest surplus in November. Based on this analysis, the capacity of Krueng Rukoh reservoir is able to fulfill its function assuming the rate of population growth and the irrigation area are constant.</em>


2020 ◽  
Vol 9 (10) ◽  
pp. e1969108391
Author(s):  
Fabiane Kazue Arai ◽  
Diovany Doffinger Ramos ◽  
Hugo Justino Inocêncio ◽  
Felipe André dos Santos

Global demand for water has been increasing per year due to population growth, economic development, and changes in consumption patterns, among other factors. This increase in water demand is expected to continue in the next decades. The objective of this work was to evaluate the use of different criteria to grant the use of water from the Ivinhema river basin, Brazil. Monthly periods were compared to annual periods to calculate the reference flows Q7,10 and Q95. The relative differences in water availability using different reference flow rates for water concession were quantified. The replacement of the annual criteria (standard in Brazil) for water concession by 50% of monthly Q7,10 and 70% of monthly Q95 can potentially increase the use and improve the management of water resources. The best criteria to award grants is the monthly Q7,10, which despite being more restrictive, it allows higher flow rates when there is excess water, and lower rates in the months of low water availability.


Author(s):  
Dina Paramitha Anggraeni Hidayat ◽  
Yuddi Yudistira

<p><em>In Indonesia, water resources management planning has done based on river area. But the problem is the calculation still based on population data with administrative boundary. This is caused by the lack of population data with watershed or river area boundary. Geographical Information System (GIS) is a tools to analyze, visualize and interpret data with spatial and geographic data. For this research, GIS is used to generate population data with watershed and river area boundary,then the result will used for domestic water demand calculation for Cisadane upstream watershed. For all district in Cisadane Upstream Watershed, the largest district in entire watershed are Cibungbulang, Leuwiliang and Nanggung. But the most dense population are Ciomas, Ciampea and Cibungbulang. The calculation using watershed boundary resulting significant difference from district boundary. With spatial data population using watershed boundary, domestic water demand calculation result can be more accurate than using all district population data. </em></p>


2021 ◽  
Vol 930 (1) ◽  
pp. 012062
Author(s):  
E Suhartanto ◽  
S Wahyuni ◽  
K M Mufadhal

Abstract Estimation of climatological parameters, especially rainfall is a data requirement for all regions of Indonesia. The availability of rainfall data is used for early warning of flood or drought disasters. The study location is in Palembang City, South Sumatra Province, where floods and droughts often occur and lack of availability of rainfall data. This study aims to obtain the best model in estimating rainfall from climatological data. The analysis was carried out to estimate the rainfall from the climatological data using the Artificial Neural Networks method. The Artificial Neural Networks were applied and showed some results with the best calibration was at 16 years using TRAINLM with 1500 epochs that is the performances NSE = 0.54, RMSE = 99.37, and R = 0.74. Whereas the best validation was at 1 year that is the performances NSE = 0.41, RMSE = 87.32, and R = 0.65.


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