scholarly journals Analysis of Water Availability in Omu Watershed

2020 ◽  
Vol 331 ◽  
pp. 04003
Author(s):  
M. Galib Ishak ◽  
I Wayan Sutapa ◽  
Armin Basong ◽  
Aditya Dedi
Keyword(s):  
Land Use ◽  
Water Availability ◽  
Catchment Area ◽  
Monthly Rainfall ◽  
Rainfall Data ◽  
Water Requirements ◽  
Discharge Measurement ◽  
Average Monthly Rainfall ◽  
Instantaneous Discharge ◽  
Comparison Of The Results

The availability of water in the Omu watershed becomes an important factor for residents in carrying out their activities, very it is important to know the available discharge and water requirements. This study aims to determine the amount of water availability in the Omu watershed based on the method FJ. MOCK, NRECA, and SMEC. This research uses average monthly rainfall data of Tuva station, average monthly climatology data of Bora station, data of catchment area, and land use. The result of the calculation of Omu watershed water availability by using the method of FJ. MOCK, NRECA, and SMEC; obtained the average discharge 2. 21 m3/sec, 2. 30 m3/sec, 2. 85 m3/sec, the maximum discharge happened in June 2. 36 m3/sec, in March 3. 63 m3/sec, in June 3. 58 m3/sec, and while the minimum discharge happened in July 1. 72 m3/sec, in January 0. 84 m3/sec, in February 2. 12 m3/sec. The result of instantaneous discharge measurement in the field is 2. 18 m3/sec. Based on the comparison of the results of the analysis of the water availability data on the Omu watershed, from the three methods closest to the instantaneous discharge value is the FJ. MOCK method.

scholarly journals MODEL FUZZY LOGIC BERBASIS ANFIS DALAM PENENTUAN POLA TANAM Oryza sativa

2018 ◽  
Vol 11 (2) ◽  
pp. 171-182
Author(s):  
Eva Gusmira ◽  
Try Susanti ◽  
Arif Ma’rufi
Keyword(s):  
Fuzzy Logic ◽  
Research Area ◽  
Monthly Rainfall ◽  
Rainfall Data ◽  
Cropping Pattern ◽  
Crop Failure ◽  
Cropping Patterns ◽  
Planting Time ◽  
Average Monthly Rainfall ◽  
Fuzzy Logic Analysis

AbstrakPergeseran datangnya musim hujan akan menyebabkan kegagalan panen dan akan merugikan petani. Untuk mengatasi hal ini dilakukan penelitian yang bertujuan untuk memprediksi pola tanam padi dan waktu tanam yang sesuai berdasarkan tabiat data curah hujan selama lima belas tahun (2001–2015) di Kabupaten Kerinci Provinsi Jambi. Daerah penelitian meliputi empat kecamatan yang didasarkan dari luasnya sawah tadah hujan. Metode yang digunakan dalam penelitian ini adalah metode deskriptif dengan teknik survei. Prediksi curah hujan digunakan metode analisis Fuzzy Logic berbasis ANFIS. Data yang digunakan adalah data curah hujan bulanan observasi 10 tahun yaitu dari tahun 2006–2015. Data diambil dari Stasiun Iklim Jambi. Data asimilasi diambil selama 15 tahun yaitu dari tahun 2001–2015. Hasil Penelitian ini menunjukkan pola curah hujan bulanan rata-rata di setiap kecamatan berbentuk pola ekuatorial dengan dua puncak curah hujan yaitu pada bulan April dan November. Waktu tanam dapat dilakukan dua kali dalam setahun, waktu tanam pertama dimulai pada bulan Maret dan waktu tanam kedua pada bulan Oktober. Hasil analisa dapat digunakan pemerintah Kabupaten Kerinci sebagai acuan dalam memberikan sosialisasi kepada petani mengenai pola tanam dan waktu tanam padi sehingga dapat menghasilkan panen yang optimal.Abstract The shift in the coming rainy season will cause crop failure and will harm the farmers. To overcome this study conducted to predict rice cropping pattern and appropriate planting time based on the characteristics of rainfall data for fifteen years (2001–2015) in Kerinci Regency of Jambi Province. The research area covers four districts based on the number of rainfall rice fields. The method  used a  descriptive method with the survey technique. The prediction of rainfall is used ANFIS Fuzzy Logic analysis method. The data is used  the monthly rainfall data with observation  for 10 years from 2006 to 2015. The data had taken from the Jambi Climate Station.  The assimilation data had taken for 15 years from 2001 to 2015. The results of this study showed the average monthly rainfall pattern in each sub-district in the form of equatorial pattern with two peaks rainfall that is in April and November. Planting time can be done twice a year, the first planting time begins in March and the second planting time in October. The result of analysis can be used by the Kerinci Regency government as a reference in providing socialization to farmers regarding cropping patterns and planting time of rice so that they can produce maximum crop yield.

scholarly journals PERENCANAAN POLA TANAM PADA JARINGAN IRIGASI GANGSIRAN DESA TEBEL KABUPATEN JOMBANG

EXTRAPOLASI ◽  
2021 ◽  
Vol 18 (1) ◽  
pp. 42-49
Author(s):  
Faradlillah Saves
Keyword(s):  
Water Availability ◽  
Irrigation System ◽  
Rainfall Data ◽  
System Management ◽  
Cropping Pattern ◽  
Water Requirements ◽  
Irrigation Network ◽  
Cropping Patterns ◽  
Irrigation System Management ◽  
The Village

AbstractThe availability ofiwateriin the jombang area tends to be uneven because it is influenced by the rain and dry season. This makes the implementation of the cropping pattern in the village of Tebel Bareng district not in accordance with the available water availability, to obtain maximum production a goog irrigation system management is required. By conducting an analysis to determine the value of the monthly reliable discharge with the transformation of monthly rainfall data, water requirements and cropping patterns are expectedito be able to overcome problems that occur in the existing irrigation network in Tebel village Bareng sub-district Jombang district. To find out the average rainfalliusingitheialgebraic averageimethod with 10 years of rainfall data, then to find out the evapotranspiration is calculated using the penman method and reliable discharge calculations using the FJ Mock method. From the results of the analysis on the village irrigation in Tebel the reliable discharge value is 0,0165 m³/sec. Analysis of rrigation water needs was carried out using 24 alternatives. TheiNFR value of 88,29 mm/day was converted to 0,001021875 m³/sec or 10,022 l/sec. The alternative used is the 24 th alternative with the initial planting period in December II period. The cropping pettern used is paddy-paddy-secondary crops.AbstrakKetersediaan air didaerah jombang cenderung tidak merata karena dipengaruhi oleh musim hujan dan kemarau. Hal itu membuat pelaksanaan pola tanam di desa Tebel Kecamatan Bareng tidak sesuai dengan ketersediaan air yang ada, sehinga untuk mendapatkan hasil produksi yang maksimal diperlukan sebuah pengelolahan sistem irigasi yang baik. Dengan melakukan analisis untuk mengetahui nilai debit andalan bulanan dengan transformasi data curah hujan bulanan, kebutuhan air dan pola tata tanam diharapkan mampu mengatasi masalah yang terjadi pada jaringan irigasi yang ada di Desa Tebal Kecamatan Bareng Kabupaten Jombang. Untuk mengetahui curah hujan rata-rata menggunakan metode rata-rata aljabar dengan data curah hujan 10 tahun, lalu untuk mengetahui evapotranspirasi dihitung menggunakan metode penman dan perhitungan debit andalan diperoleh dengan menggunakan metode FJ. Mock. Dari hasil analisis pada daerah irigasi desa Tebel diperoleh nilai debit andalan sebesar 0,0165 m³/detik. Analisis kebutuhan air irigasi dilakukan menggunakan 24ialternatif Didapat nilai NFR sebesar 88,29 mm/hari dikonversikan menjadi 0,001021875 m³/detik atau 10,022 lt/detik. Alternatifiyang digunakan adalah alternatifike 24 dengan masa awal tanam pada Desember priode II. Pola tanam yang digunakan adalah padi-padi-palawija.

scholarly journals Pemetaan Curah Hujan Dalam Upaya Mengurangi Resiko Bencana Hidrometeorologi Dengan Sistem Informasi Geografis (SIG) Untuk Wilayah Kalimantan Utara

2020 ◽  
Vol 3 (2) ◽  
pp. 129-142
Author(s):  
Rachel Zandra Singal ◽  
Noptri Jumario
Keyword(s):  
Monthly Rainfall ◽  
Rainfall Data ◽  
Maximum Rainfall ◽  
Rainfall Analysis ◽  
High Rainfall ◽  
The North ◽  
Spatial Analyst ◽  
Average Monthly Rainfall ◽  
Rainfall Map ◽  
Source Of Information

North Kalimantan is one of the regions in Indonesia which is prone to hydrometeorological disasters. The purpose of this study was to determine the rainfall analysis of the North Kalimantan Region as a basis in finding rainfall levels in areas that do not have climatological stations, knowing the rainfall maps of the North Kalimantan Region and knowing the conditions of high rainfall causing flood prone in the North Kalimantan region. Rainfall data collection locations are climatology stations Tanjung Harapan, Juwata, Tuvai Semaring, Kalimarau and R.A. Bessing. Rainfall data is taken from OGIMET for 10 years. The result of rainfall analysis is the average monthly rainfall, which is from January to December. The method used to determine the monthly rainfall value in the North Kalimantan region is the Spatial Analyst Interpolation -Kriging method. The results are in the form of monthly rainfall maps, from January to December. Monthly rainfall map is a source of information on the value of rainfall in the region in North Kalimantan. Maximum rainfall is found in the areas of Tanjung Selor and Tarakan, namely January 313,368 mm, May 366,238 mm, July 358,868 mm and December 324,513 mm. Map of monthly rainfall in January, May, July and December is a parameter to see the condition of high rainfall causing hydrometeorological disasters. Through this research it is expected to anticipate the risk of disasters caused by the weather.

scholarly journals Analysis and Prediction of Meteorological Drought Area by Using Standardized Precipitation Index in Northeast, Thailand

2021 ◽  
Vol 12 (12) ◽  
pp. 372-376
Author(s):  
Sirimanee Kornkosa ◽  
◽  
Nutthakarn Phumkokrux ◽  
Patiya Pattanasak ◽  
Supaporn Manajitprasert
Keyword(s):  
Rice Field ◽  
Standardized Precipitation Index ◽  
Meteorological Drought ◽  
Precipitation Index ◽  
Monthly Rainfall ◽  
Rainfall Data ◽  
Drought Risk ◽  
Northeast Thailand ◽  
Risk Area ◽  
Average Monthly Rainfall

The objectives of this work are: 1) to monitor the trend of rainfall data in in-season rice field period of Thailand (April to August). 2) to analyze meteorological drought by Standardized Precipitation Index : SPI in Northeast Thailand in in-season rice field period of Thailand and 3) to predict the rainfall data in in-season rice field period of Thailand of 2021. The average monthly rainfall data in April to August of 1990 – 2020 were gathered from 31 meteorological stations covered Northeast area of Thailand by Meteorological Department of Thailand. The data were used to draw trend of monthly average rainfall to track a change of rainfall in the period. Then, these were used to create distribution of meteorological drought characteristics maps under SPI criteria. Moreover, Single Moving Average model is used to predict the rainfall data with the lowest MAPE at 11.13 percentage. The results show that the higher meteorological drought risk area was always found in south-west side of the region in June to August. Moreover, average monthly rainfall increases from April and hit the peak in July and August. The trend of total monthly rainfall in in-season rice field period fluctuates along the study period with average value at 977.98 millimeters and its trend tends to be decreased at 0.1052 millimeters per year.

scholarly journals Afforestation of Degraded Croplands as a Water-Saving Option in Irrigated Region of the Aral Sea Basin

Water ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 1433
Author(s):  
Navneet Kumar ◽  
Asia Khamzina ◽  
Patrick Knöfel ◽  
John P. A. Lamers ◽  
Bernhard Tischbein
Keyword(s):  
Land Use ◽  
Water Balance ◽  
Water Supply ◽  
Water Availability ◽  
Irrigation Water ◽  
Water Saving ◽  
Aral Sea ◽  
Water Balance Components ◽  
Study Region ◽  
Trade Offs

Climate change is likely to decrease surface water availability in Central Asia, thereby necessitating land use adaptations in irrigated regions. The introduction of trees to marginally productive croplands with shallow groundwater was suggested for irrigation water-saving and improving the land’s productivity. Considering the possible trade-offs with water availability in large-scale afforestation, our study predicted the impacts on water balance components in the lower reaches of the Amudarya River to facilitate afforestation planning using the Soil and Water Assessment Tool (SWAT). The land-use scenarios used for modeling analysis considered the afforestation of 62% and 100% of marginally productive croplands under average and low irrigation water supply identified from historical land-use maps. The results indicate a dramatic decrease in the examined water balance components in all afforestation scenarios based largely on the reduced irrigation demand of trees compared to the main crops. Specifically, replacing current crops (mostly cotton) with trees on all marginal land (approximately 663 km2) in the study region with an average water availability would save 1037 mln m3 of gross irrigation input within the study region and lower the annual drainage discharge by 504 mln m3. These effects have a considerable potential to support irrigation water management and enhance drainage functions in adapting to future water supply limitations.

scholarly journals Risk Assessment of Future Climate and Land Use/Land Cover Change Impacts on Water Resources

Hydrology ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 38
Author(s):  
Nick Martin
Keyword(s):  
Risk Assessment ◽  
Land Use ◽  
Water Resources ◽  
Land Cover ◽  
Water Balance ◽  
Water Availability ◽  
Reference Conditions ◽  
Weather Generator ◽  
Future Climate ◽  
Lulc Change

Climate and land use and land cover (LULC) changes will impact watershed-scale water resources. These systemic alterations will have interacting influences on water availability. A probabilistic risk assessment (PRA) framework for water resource impact analysis from future systemic change is described and implemented to examine combined climate and LULC change impacts from 2011–2100 for a study site in west-central Texas. Internally, the PRA framework provides probabilistic simulation of reference and future conditions using weather generator and water balance models in series—one weather generator and water balance model for reference and one of each for future conditions. To quantify future conditions uncertainty, framework results are the magnitude of change in water availability, from the comparison of simulated reference and future conditions, and likelihoods for each change. Inherent advantages of the framework formulation for analyzing future risk are the explicit incorporation of reference conditions to avoid additional scenario-based analysis of reference conditions and climate change emissions scenarios. In the case study application, an increase in impervious area from economic development is the LULC change; it generates a 1.1 times increase in average water availability, relative to future climate trends, from increased runoff and decreased transpiration.

Hydrological regime, water availability and land use/land cover change impact on the water balance in a large agriculture basin in the Southern Brazilian Amazon

2021 ◽  
Vol 108 ◽  
pp. 103224
Author(s):  
Tárcio Rocha Lopes ◽  
Cornélio Alberto Zolin ◽  
Rafael Mingoti ◽  
Laurimar Gonçalves Vendrusculo ◽  
Frederico Terra de Almeida ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Water Balance ◽  
Land Cover Change ◽  
Water Availability ◽  
Hydrological Regime ◽  
Brazilian Amazon ◽  
Land Use Land Cover ◽  
Change Impact

scholarly journals Evaluation of the status of land use/land cover change using remote sensing and GIS in Jewha Watershed, Northeastern Ethiopia

2021 ◽  
Vol 3 (4) ◽  
Author(s):  
Dereje Gebrie Habte ◽  
Satishkumar Belliethathan ◽  
Tenalem Ayenew
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Change Detection ◽  
Catchment Area ◽  
Environmental Conservation ◽  
Land Use Land Cover ◽  
Cultivated Land ◽  
Plantation Forest ◽  
Bare Land

AbstractEvaluation of land use/land cover (LULC) status of watersheds is vital to environmental management. This study was carried out in Jewha watershed, which is found in the upper Awash River basin of central Ethiopia. The total catchment area is 502 km2. All climatic zones of Ethiopia, including lowland arid (‘Kola’), midland semi-arid (‘Woinadega’), humid highland (Dega) and afro alpine (‘Wurch’) can be found in the watershed. The study focused on LULC classification and change detection using GIS and remote sensing techniques by analyzing satellite images. The data preprocessing and post-process was done using multi-temporal spectral satellite data. The images were used to evaluate the temporal trends of the LULC class by considering the years 1984, 1995, 2005 and 2015. Accuracy assessment and change detection of the classification were undertaken by accounting these four years images. The land use types in the study area were categorized into six classes: natural forest, plantation forest, cultivated land, shrub land, grass land and bare land. The result shows the cover classes which has high environmental role such as forest and shrub has decreased dramatically through time with cultivated land increasing during the same period in the watershed. The forest cover in 1984 was about 6.5% of the total catchment area, and it had decreased to 4.2% in 2015. In contrast, cultivated land increased from 38.7% in 1984 to 51% in 2015. Shrub land decreased from 28 to 18% in the same period. Bare land increased due to high gully formation in the catchment. In 1984, it was 1.8% which turned to 0.6% in 1995 then increased in 2015 to 2.7%. Plantation forest was not detected in 1984. In 1995, it covers 1.5% which turned to be the same in 2015. The study clearly demonstrated that there are significant changes of land use and land cover in the catchment. The findings will allow making informed decision which will allow better land use management and environmental conservation interventions.

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