scholarly journals OPTIMASI PENGELOLAAN AIR BENDUNG CAWAK UNTUK DAERAH IRIGASI CAWAK DENGAN PROGRAM SOLVER (Studi kasus : Kemanteren Nglumber_Kecamatan Kepohbaru_Kabupaten Bojonegoro)

EXTRAPOLASI ◽  
2021 ◽  
Vol 18 (1) ◽  
pp. 25-32
Author(s):  
Hudhiyantoro Hudhiyantoro ◽  
Bayu Aji Dwi Saputro
Keyword(s):  
Water Availability ◽  
Irrigation Water ◽  
Optimization Model ◽  
Optimization Method ◽  
Cropping Pattern ◽  
Dam Reservoir ◽  
Water Requirements ◽  
Area Mt ◽  
Irrigation Area ◽  
Irrigated Area

AbstractBendung Cawak is located in the district of Kepohbaru, Bojonegoro. Bendung Cawak is used for irrigation and water supplies of Kepohbaru, water availability is insufficient, while the amount of land and also residents who need water, so optimization Bendung Cawak is necessary for the water pitcher bendung can be optimized according to the needs.In this study, to maximize the area of land irrigated area to be optimized. In the optimization model used is the optimization of the monthly for 1 year by calculating the area of irrigated land available, land irrigation is met, the greater availability of water and irrigation needs are met. Optimization method used in this calculation is Program Solver.The results obtained by the reliable discharge available in the Cawak dam reservoir are 2.547 m3 / second. The need for irrigation water with the cropping pattern of Palawija-Padi-Padi at the beginning of planting in August I is 0.579 l / sec / ha as a planting plan with the minimum water requirements. As well as optimization, the optimum cropping pattern and initial planting are August I with the Palawija-Padi-Padi planting intensity 291% and with irrigation area MT I 675 ha, MT II 742 ha, MT III 742 ha. AbstrakBendung Cawak terletak di Kecamatan Kepohbaru, Kabupaten Bojonegoro. Layanan Bendung Cawak dipergunakan untuk keperluan irigasi di Daerah Irigasi Cawak Kecamatan Kepohbaru, ketersediaan air yang tidak mencukupi sedangkan banyaknya lahan yang membutuhkan air , sehingga Optimasi Bendung Cawak sangat diperlukan agar air tampungan Bendung dapat dioptimalkan sesuaidengan kebutuhan.Pada studi ini, untuk memaksimalkan luas lahan irigasi dilakukan optimasi luas lahan irigasi . Dalam model optimasi yang digunakan adalah optimasi satu bulanan selama 1 tahun dengan memperhitungkan luas lahan irigasi yang tersedia, luas lahan irigasi yang terpenuhi, besarnya ketersediaan debit air maksimal, dan kebutuhan air irigasi yang dipenuhi. Metode optimasi yang digunakan dalam perhitungan ini yaitu Program Solver.Hasil yang diperoleh debit andalan yang tersedia di tampungan bendung cawak adalah 2,547 m3/detik. kebutuhan air irigasi dengan pola tanam Palawija-Padi-Padi awal tanam Agustus I itu sebesar 0,579 lt/dtk/ha sebagai rencana tanam dengan kebutuhan air paling minimum.Serta optimasi didapatkan pola tanam dan awal tanam yang paling optimum adalah Agustus I dengan pola tanam Palawija-Padi-Padi intensitas tanam 291% dan dengan luas areal irigasi MT I 675 ha, MT II 742 ha, MT III 742 ha.

scholarly journals SENTINEL-1&2 FOR NEAR REAL TIME CROPPING PATTERN MONITORING IN DROUGHT PRONE AREAS. APPLICATION TO IRRIGATION WATER NEEDS IN TELANGANA, SOUTH-INDIA

2019 ◽  
Vol XLII-3/W6 ◽  
pp. 285-292
Author(s):  
S. Ferrant ◽  
A. Selles ◽  
M. Le Page ◽  
A. AlBitar ◽  
S. Mermoz ◽  
...  
Keyword(s):  
Surface Water ◽  
Real Time ◽  
Water Availability ◽  
Irrigation Water ◽  
Crop Production ◽  
South India ◽  
Optical Data ◽  
Cropping Pattern ◽  
Irrigated Area ◽  
Irrigated Crops

<p><strong>Abstract.</strong> Indian agriculture relies on monsoon rainfall and irrigation from surface and groundwater. The inter-annual variability of monsoon rainfalls is high, which forces South Indian farmers to adapt their irrigated area extents to local water availability. We are developing and testing an automatic methodology for monitoring spatio-temporal variations of irrigated crops in near real time based on Sentinel-1 and -2 data feed over the Telangana State, South India. These freely available radar and optical data are systematically acquired worldwide, over India since 2016, on a weekly basis. Their high spatial resolution (10&amp;ndash;20&amp;thinsp;m) are well adapted to the small size field crops that is common in India. We have focused first on drought prone areas, North of Hyderabad. Crop fraction remains low and varies widely (from 10 to 60%, ISRO-NRSC, Bhuvan). Those upstream areas, mainly irrigated with groundwater, are composed by less than 20% of irrigated areas during the dry season (Rabi, December to March) and up to 60% of the surface is used for crop production during the Kharif (June to November), which includes rainfed cotton and drip irrigated maize crops and inundated rice. A machine learning algorithm, the Random Forest (RF) method, was automatically used over 6 growing seasons (January to March and July to November, from 2016 to 2018) from the Sentinel-1&amp;amp;2 data stacked for each season, to create crop mapping at 10&amp;thinsp;m resolution over a study area located in the north of Hyderabad (210 by 110&amp;thinsp;km). Six seasonal land cover field surveys were used to train and validate the classifier, with a specific effort on rice and maize field sampling. The lowest irrigated area extents were found for driest conditions in Rabi 2016 and Kharif 2016, accounting for 3.5 and 5% with moderate classification confusion. This confusion decreases with the increase of irrigated crops areas during Rabi 2017. For this season, 22% of rice and 9% of irrigated crops were detected after heavy rainfall events in September 2017, which have filled surface water tanks (3.4% of the surface area) and groundwater (Central Groundwater Board observations). From this abundance situation, the surface water detected for each season decreased regularly to less than 0.3% together with the rice and irrigated area extents respectively from 22 to 11% and 10 to 3%, despite a good monsoon 2017. Groundwater level show similar trends, with a drop from 20 meters depth in October 2016 and 2017 to more than 30&amp;thinsp;m in June 2018 (more recent available data). The deficit of the monsoon 2018 will certainly bring this situation to a hydrological drought at the beginning of 2019, probably similar to the Rabi 2016 situation. The estimated Irrigated Water Demand (IWD) varies from 51 to 310&amp;thinsp;mm/season, depending on water availability. This methodology shows the potential of automatically monitoring, in near real time, with standard computers, irrigated area extents presenting fast high resolution variability. As it is based on standard global satellite acquisitions, it is foreseen to be used for other regions, for any studies on farmer’s adaptation to climate and hydrological variability, as a proxy to estimate irrigation water needs and water resources availability. In Telangana for instance, it provides an inventory of crop production and irrigation practices before the implementation of mega project infrastructures funded by this new state: - the Kâkâtiya tank restoration program to enhance monsoon runoff capture or the Kaleshwaram project to divert Godavari river water toward upstream Telangana region through tunnels and canals in 20 giant reservoirs.</p>

scholarly journals Evaluasi Pemberian Air Irigasi Saluran Sekunder Srengseng Hilir dari Bendung Tetap Cikarang Bekasi Laut

2019 ◽  
Vol 7 (1) ◽  
pp. 19-36
Author(s):  
Fahmi Fathul Bahri ◽  
Elma Yulius ◽  
Anita Setyowati Srie Gunarti
Keyword(s):  
Water Availability ◽  
Water Loss ◽  
Irrigation Water ◽  
River Flow ◽  
Channel Length ◽  
Irrigation Efficiency ◽  
Secondary Channel ◽  
Water Requirements ◽  
Discharge Data ◽  
Irrigation Area

Cikarang Bekasi Laut (CBL) is a fixed-dam river-flow that flows through the building for upstream srengseng channel. Srengseng Hilir Secondary-Channel has 32 buildings for watering the rice fields in the Sukatani sub-district. The problem happened in the distribution of water when there is a loss of irrigation water due to infiltration of water into the soil where the soil is saturated. This causes a shortage of debit for field irrigation due to water loss in the secondary channel. The method used in Water Supply Evaluation of Irrigation Cikarang Bekasi Laut (CBL) for the Secondary Channel Srengseng Hilir D.I. Jatiluhur are the maximum discharge data, minimum discharge, and average discharge of the Fixed Cikarang Bekasi Laut (CBL) Dam in 5 year-period and calculating water requirements and water availability in D.I. Jatiluhur. Result showed that the P1 channel has an irrigation area of 105 ha and a channel length of 1906 m with an actual discharge of 2714 liters/sec and has irrigation efficiency of 5.71%. Channel P2 has an irrigation area of 106 ha and channel length of 1006 m with actual discharge of 1560 liters/sec and has irrigation efficiency of 6.11%. P3 channel has an irrigation area of 137 ha and 894 m channel length with an actual discharge of 175 liters/second and has irrigation efficiency of8.41%. Channel P4 has an irrigation area of 50 ha and a channel length of 951 m with an actualdischarge of 180 liters/second and has irrigation efficiency of 21.10%. Channel P5 has an irrigationarea of 71 ha and a channel length of 835 m with an actual discharge of 274 litters/sec and has irrigationefficiency of 37.97%. Channel P6 has an irrigation area of 74 ha and a channel length of 775 m with anactual discharge of 411 liters/sec and has irrigation efficiency of 63.79%.

Crop Productivity Enhancement under Soybean Based Cropping System through Harvested Rain Water in Malwa Region

2021 ◽  
Author(s):  
D.H. Ranade ◽  
M.L. Jadav ◽  
Indu Swarup ◽  
O.P. Girothia ◽  
D.V. Bhagat ◽  
...  
Keyword(s):  
Water Availability ◽  
Irrigation Water ◽  
Sweet Corn ◽  
Rainwater Harvesting ◽  
Cropping System ◽  
Crop Productivity ◽  
Farm Income ◽  
Cropping Pattern ◽  
Water Harvesting ◽  
Net Return

Background: Rainwater harvesting is commonly practiced in areas, where the rainfall is insufficient for crop growing. Due to the intermittent nature of run-off events, it is necessary to store the maximum possible amount of rainwater during the rainy season so that it may be used as irrigation to enhance the crop productivity and farm income under soybean based cropping system.Methods: A study was carried out during 2018-2019 in Indore district of Malwa region. Rainwater harvesting tanks at on station (42´21´2.4m) and on farm (15´11´4m) were constructed for irrigation water availability. Provision of water harvesting tank increased the irrigation water availability (1781m3 and 630m3 respectively) and stored water was managed through various irrigation systems viz. rain gun, drip and flood.Result: It was resulted that the provision of water harvesting tanks enhanced the crop productivity and farm income under soybean based cropping system. Availability of irrigation encouraged the farmers to diversify the cropping pattern (soybean-chickpea, soybean -wheat). It is also clear from the study that even with smaller storage tank and through conjunctive use of ground (1164.2m3) and surface water (596m3), multiple crops (Soybean, potato, sweet corn, chickpea, onion, garlic etc.) can be grown. Soybean-Chickpea cropping system at station gave the net return of 70976 Rs/ha with B: C ratio of 3.15. Soybean-Wheat cropping system at farm gave the net return of 119000 Rs/ha with B:C ratio of 3.38. 

scholarly journals Analisis Kebutuhan Air Irigasi Menggunakan CROPWAT 8.0 pada Daerah Irigasi Krueng Jreu Kabupaten Aceh Besar

2020 ◽  
Vol 4 (4) ◽  
pp. 412-421
Author(s):  
Mahendra Rizqi ◽  
Muhammad Yasar Yasar ◽  
Dewi Sri Jayanti
Keyword(s):  
Irrigation Water ◽  
Food Production ◽  
Rice Paddy ◽  
Irrigation Water Requirement ◽  
Water Requirements ◽  
Cropping Patterns ◽  
Irrigation Area ◽  
Land Preparation ◽  
Increase Food Production ◽  
Manual Calculation

Abstrak. Salah satu usaha peningkatan produksi pangan khususnya padi adalah tersedianya air irigasi di areal sawah sesuai dengan kebutuhan. Kebutuhan air yang diperlukan  pada areal irigasi besarnya bervariasi sesuai keadaan untuk memenuhi kebutuhan evapotranspirasi, kehilangan air, kebutuhan air untuk tanaman dengan memperhatikan jumlah air yang diberikan oleh alam melalui hujan dan kontribusi air tanah. Pengaplikasian CROPWAT 8.0 ini sangat membantu dalam pengelolaan data sehingga menghasilkan data yang dapat digunakan. Tujuan penelitian ini adalah untuk menghitung kebutuhan air irigasi pada Daerah Irigasi Krueng Jreu dengan menggunakan software CROPWAT 8.0. Metode penelitian adalah menentukan parameter, pengumpulan data dan pengolahan data.  Data yang digunakan dalam penelitian ini adalah data luas areal yang dialiri, data-data untuk menghitung evapotranspirasi meliputi temperatur, kelembaban relatif, kecepatan angin, lama penyinaran matahari, curah hujan, pola dan jadwal tanam yang dianjurkan di daerah penelitian. Hasil penelitian yang telah dilakukan diperoleh  Nilai evapotranspirasi potensial (ET0)  rata-rata  di Daerah Irigasi Krueng Jreu adalah sebesar 3,75 mm/hari, curah hujan efektif (Re) rata-rata di Daerah Irigasi Krueng Jreu adalah sebesar 3,09 mm/hari, kebutuhan air untuk penyiapan lahan adalah sebesar 11,35 mm/hari untuk Bulan November dan sebesar 11,71 mm/hari untuk Bulan Mei, kebutuhan bersih air di sawah (NFR) untuk padi rendeng dan padi gadu yaitu sebesar  11,22 mm/hari dan 25,34 mm/hari, dan kebutuhan air pada pintu pengambilan (DR) untuk padi rendeng dan padi gadu yaitu sebesar 17,27 mm/hari dan 38,98 mm/hari. Kebutuhan air irigasi di Darah Irigasi Krueng Jreu dengan total luas area sebesar 3.287 ha dengan kebutuhan air irigasi pola tanam padi-padi yang dimulai awal pengolahan lahan pada awal Bulan November maka didapatkan kebutuhan air irigasi maksimal yaitu terjadi pada Bulan Juli dengan perhitungan CROPWAT yaitu sebesar 14,9 m3/detik dan untuk perhitungan manual yaitu sebesar 6,26 m3/detik. Kebutuhan air irigasi minimum yaitu terjadi pada Bulan Desember dengan perhitungan CROPWAT yaitu sebesar 0,00 m3/detik dan perhitungan manual yaitu sebesar 0,45 m3/detik.Analysis of Irrigation Water Requirement Using CROPWAT 8.0 in Krueng Jreu Irrigation Area  of Aceh Besar RegencyAbstract. One of the efforts to increase food production, especially rice, is the availability of irrigation water in paddy fields according to their needs. The required water needs in the area of irrigation varies according the State needs for evapotranspiration, water loss, water needs for plants with attention to the amount of water given by nature through the rain and the contribution of groundwater. The application of  Cropwat 8.0 is very helpful in managing data so as to produce data that can be used. The purpose of this study was to calculate irrigation water requirements in the Krueng Jreu Irrigation Area using Cropwat 8.0 software. The research method is determining parameters, data collection and data processing. The data used in this study is the data area that is flowed, the data for calculating evapotranspiration include: temperature, relative humidity, wind speed, duration of solar radiation, rainfall, patterns, and planting schedules recommended in the study area. Based on the results of the research that has been carried out, it can be concluded as follows: the average evapotranspiration value (ET0) in the Krueng Jreu Irrigation Area is 3,75 mm/day, the effective rainfall (Re) in the Krueng Jreu Irrigation Area is amounting to 3,09 mm/day, water requirements for land preparation of 11,35 mm/day in November and 11,71 mm/day in Mei, clean water requirements in rice fields (NFR) for rendeng rice and gadu rice which amounted to 11,22 mm/day and 25,34 mm/day, and water requirements on the retrieval gate (DR) for rendeng rice and gadu rice were equal to 17,27 mm/day and 38,98 mm/day. Irrigation water needs in Krueng Jreu Irrigation Blood with a total area of 3.287 ha with irrigation water requirements for rice-paddy cropping patterns that were started at the beginning of land processing at the beginning of November the maximum irrigation water needs were obtained in July with  Cropwat calculations that is equal to 14,9 m3/second and for manual calculations amounting to 6,26 m3/sec. For minimum irrigation water needs, that occurs in December with a Cropwat calculation is 0,00 m3/second and manual calculation of 0,45 m3/sec.

scholarly journals Optimization of irrigation water use to increase the benefit of agricultural products

2018 ◽  
Vol 159 ◽  
pp. 01026
Author(s):  
Edy Anto Soentoro ◽  
Erlangga Perwira ◽  
Yadi Suryadi ◽  
Winskayati
Keyword(s):  
Linear Programming ◽  
Water Supply ◽  
Water Availability ◽  
Irrigation Water ◽  
Water Shortage ◽  
Agricultural Products ◽  
Cropping Pattern ◽  
Irrigation Water Use ◽  
Maximum Benefit ◽  
Planting Method

Shortage of irrigation water supply in dry season prevents many farmers from growing their crops, and the annual benefit from agricultural products will decrease as much as the area of irrigation fields which have lack of water. The objective of this study is to determine the maximum benefit from agricultural products based on water availability, by determining the appropriate cropping pattern and maximum planting areas through linear programming. The case-study location is at Leuwi Kuya Irrigation Region. Planting schedule is selected based on minimum water shortage from simulation of 6 alternative planting schedules. Then, the best pattern of cropping (planting method and the total area) is determined using linear programming. Optimization is carried out in 3 scenarios with various planting methods (conventional and SRI), minimum irrigation water demand (class-area system), and schedule for beginning of the 3-growing seasons annually. Result of this study is the optimal area of the irrigated region that can be planted based on the water availability. The maximum benefit is 89 billion rupiahs, using SRI planting method and distribution of three groups of irrigation fields in water supply schedule.

scholarly journals KAJIAN OPTIMASI PEMANFAATAN EMBUNG PAYA SEPAT UNTUK MEMENUHI KEBUTUHAN AIR IRIGASI D.I. CUBO TRIENGGADENG ZONA III KABUPATEN PIDIE JAYA

2020 ◽  
Vol 3 (1) ◽  
pp. 387-394
Author(s):  
Ivan Mirza ◽  
Ella Meilianda ◽  
Azmeri Azmeri
Keyword(s):  
Irrigation Water ◽  
Water Demand ◽  
Rainwater Harvesting ◽  
Optimization Technique ◽  
Water Shortages ◽  
Water Requirements ◽  
Irrigation Network ◽  
Irrigation Area ◽  
Irrigation Water Demand ◽  
Planting Season

The Cubo Trienggadeng Irrigation scheme has a potential area of 1,545 Ha while the functional area is 1,090 Ha. Based on the Irrigation Network scheme, Cubo Trienggadeng Irrigation Area consists of 3 (three) zones: Zone I, Zone II and Zone III. In Zone III of the Cubo Trienggadeng Irrigation Area which is the latest area receiving water from the Cubo Trienggadeng Weir often occurs in water shortages especially during the Gadu planting season (second planting season). Embung Paya Sepat is the reservoar found in Zone III D.I. Cubo Trienggadeng that is not being fully optimized in use. This study aims to optimize the utilization of Paya Sepat Reservoar so that it can meet irrigation water demand in Zone III D.I Cubo Trienggadeng by using the Water Balance method. This reservoar does not have a channel that supplies inflow discharge, so rainwater harvesting becomes a parameter in analyzing the supply of water to the reservoar. The optimization technique used uses a non-linear program using the Solver facility in Microsoft Excel software. Based on the results of the calculation of irrigation water requirements for an area of 204.50 Ha in the Gadu planting season, the maximum volume of irrigation water demand is 40,461,55 m3 at first periode in June, from the results of the optimization using the Maximize Release method, the results show that the water reservoar in Paya Sepat Reservoar can meet the water requirements in the Gadu planting season with an average reliability of 100%.. Therefore it is necessary to regulate the release of irrigation water that is well regulated and coordinated between the reservoar management and water users/farmers.

Evaluation of effectiveness of the water management strategies with the focus on agricultural water use: A case study on Upper-Sakarya River Basin in Turkey

2020 ◽  
Author(s):  
Beyza Özel ◽  
Yasemin Demir ◽  
Oğuz Başkan ◽  
Emre Alp
Keyword(s):  
Land Use ◽  
Water Resources ◽  
River Basin ◽  
Water Availability ◽  
Irrigation Water ◽  
Cropping Pattern ◽  
Management Scenarios ◽  
Efficient Management ◽  
Sakarya River ◽  
Technical Measures

&lt;p&gt;Water, energy and food nexus is an integrated framework suggests that the security of one resource is inevitably linked to another&amp;#8217;s. Water availability assures healthy food production whereas agriculture is the dominant user of global freshwater. Water stress due to population growth, climate change or malpractices threatens food security. Within the scope of water for food governance, the water efficiency of agricultural irrigation has to be improved to aid sustainable water and agricultural management. The study investigates water availability and withdrawals, evaluates water resources management scenarios in the agricultural sector in the Sakarya River Basin, Turkey&amp;#8217;s third-largest river basin. Demand-oriented management scenarios propose a variety of technical measures which include improvements in irrigation technology, shifts in the cropping pattern and water-saving irrigation strategies. The effectiveness of scenarios was evaluated using the Water Evaluation and Planning (WEAP) system developed for the upper sub-basin where significant agricultural activities are held with approximately 1 million ha of total effective arable land. WEAP is an integrated water resources system modeling that operates based on the principle of water balance accounting. A climate data set of precipitation, temperature, relative humidity, and wind speed were applied across each sub-basin, partitioned into land-use classes. A one dimensional, two-bucket model for each land-use class transmits water as surface runoff, interflow, percolation, baseflow and evapotranspiration components. The model was calibrated and validated for observed streamflow, reservoir volume, and irrigation water amount. The mean annual precipitation and evapotranspiration in the upper sub-basin are 387 mm/a and 245 mm/a respectively. Agriculture is the dominant user of both surface water and groundwater resources and accounts for the %88 of total water withdrawals in the upper sub-basin. Impacts of agricultural management on irrigation water supply and flow dynamics of streamflow gauges were evaluated upon each measure. When compared to a historic baseline scenario, efficient management measures can save irrigation water up to %10 by shifting crop patterns from sunflower to safflower, %6 by establishing drip irrigation instead of sprinkler, %4 by applying deficient irrigation on cereal cultivated areas. Furthermore, mean streamflow increases by %8 in June where deficient irrigation strategy is practiced on cereals, by %9 in October where cropping pattern is shifted from sunflower to safflower. After a review of various technical measures related to the efficient management of water resources, the study concluded that sustainable agricultural development is possible by adapting conservative agricultural practices that assure water and food security.&lt;/p&gt;

scholarly journals Peramalan Kebutuhan Air Untuk Penyiapan Lahan Menggunakan Metode Siklis (Studi Kasus Daerah Irigasi Bendungan Batu Bulan Kec.Moyo Hulu)

2019 ◽  
Vol 5 (01) ◽  
pp. 25-34
Author(s):  
Koko Hermanto ◽  
Silvia Firda Utami
Keyword(s):  
Soil Texture ◽  
Irrigation Water ◽  
Agricultural Land ◽  
Water Discharge ◽  
Water Requirements ◽  
Irrigation Systems ◽  
Irrigation Area ◽  
Land Preparation ◽  
High Level ◽  
Irrigation Agriculture

Abstract. The area of agriculture in the Moyo Hulu sub-district of Sumbawa Regency is 6000 hectares with irrigation water sources from Batu Bulan Dam, which is the largest dam in Sumbawa Regency with an area of 932 hectares. Considering that Sumbawa Regency is one of the regions with a high level of drought, information on irrigation water requirements for land preparation needs to be known because it can optimize the allocation of the use of dam water discharge. And one of the important stages needed in the planning and management of irrigation systems. Based on this, the aim of this study is to forecast water requirements for land preparation in the irrigation area of Batu Bulan Dam by using cyclical methods because the data patterns are cyclical or seasonal. The factors that influence water requirements for preparing agricultural land are topography, hydrology, climatology and soil texture. From these factors, the data is then analysed so that the volume of water preparation needs to be obtained every month so that the results of the analysis can be predicted for the next period. Keyword: Forecasting, Cyclic methods, water requirements for land preparation, irrigation, agriculture.   Abstrak. Luas area pertanian di kecamatan Moyo Hulu Kabupaten Sumbawa sebesar 6000 hektar dengan sumber air irigasi dari Bendungan Batu Bulan yang merupakan bendungan terbesar di Kabupaten Sumbawa dengan luas 932 hektar. Mengingat Kabupaten Sumbawa salah satu wilayah dengan tingkat kekeringan yang cukup tinggi maka Informasi kebutuhan air irigasi untuk penyiapan lahan perlu diketahui karena dapat mengoptimalkan pengalokasian pengunaan debit air bendungan. Serta salah satu tahap penting yang diperlukan dalam perencanaan dan pengelolaan sistem irigasi. Berdasarkan hal tersebut tujuan dari penelitian ini adalah meramalkan kebutuhan air untuk penyiapan lahan di daerah irigasi Bendungan Batu Bulan dengan menngunakan metode siklis karena pola datanya bersifat siklis atau musiman. Adapun faktor-faktor yang mempengaruhi kebutuhan air untuk penyiapan lahan pertanian adalah topografi, hidrologi, klimatologi dan tekstur tanah. Dari data-data faktor tersebut selanjutnya dianalisa sehingga diperoleh volume kebutuhan air penyiapan lahan setiap bulannya sehingga dari hasil analisa tersebut dapat diramalkan untuk periode berikutnya. Keyword: Peramalan, metode Siklis,Kebutuhan air penyiapan lahan, irigasi, pertanian.      

scholarly journals An assessment of global net irrigation water requirements from various water supply sources to sustain irrigation: rivers and reservoirs (1960–2000 and 2050)

2013 ◽  
Vol 10 (1) ◽  
pp. 1251-1288 ◽  
Author(s):  
S. Yoshikawa ◽  
J. Cho ◽  
H. G. Yamada ◽  
N. Hanasaki ◽  
A. Khajuria ◽  
...  
Keyword(s):  
Water Supply ◽  
Irrigation Water ◽  
Storage Capacity ◽  
Daily Basis ◽  
Medium Size ◽  
Water Requirements ◽  
Critical Limit ◽  
Sustainable Food ◽  
Irrigation Area ◽  
Irrigation Water Use

Abstract. Water supply sources for irrigation, such as rivers, reservoirs, and groundwater, are critically important for agricultural productivity. The current rapid increase in irrigation water use threatens sustainable food production. In this study, we estimated the time-varying dependency of the supply of irrigation water from rivers, large reservoirs with a greater than 1.0 km3 storage capacity, medium-size reservoirs with storage capacities ranging from 1.0 km3 to 3.0 Mm3, and non-local non-renewable blue water (NNBW), particularly taking into account variations in irrigation area during the period 1960–2000. We also estimated the future irrigation water requirements from water supply sources in addition to these four sources, using an irrigation area scenario. The net irrigation water requirements from various supply sources were assessed using the global H08 water resources model. The H08 model simulates water requirements on a daily basis at a resolution of 1.0° × 1.0°. We obtained net irrigation water from rivers and medium-size reservoirs, and determined that the NNBW increased continuously from 1960 to 1985, but the net irrigation water from large reservoirs increased only marginally. After 1985, the net irrigation water from rivers approached a critical limit with the continued expansion of the irrigation area. The irrigation water requirements from medium-size reservoirs and NNBW increased significantly following the expansion of the irrigation area and the increased storage capacity of medium-size reservoirs. Under the irrigation area scenario without climate change, global net irrigation water requirements from additional water supply sources will account for 26% of the total requirements in the year 2050. We found that expansion of irrigation areas due to population growth will generate an enormous demand for irrigation water from additional resources.

Sign in / Sign up

Export Citation Format

Share Document