Penentuan hydrologic soil group untuk perhitungan debit banjir Di Daerah Aliran Sungai Brantas Hulu

2018 ◽  
Vol 13 (2) ◽  
pp. 69
Author(s):  
Anri Noor Annisa Ramadan ◽  
Wanny K Adidarma ◽  
Bambang Adi Riyanto ◽  
Kamsiyah Windianita
Keyword(s):  
Soil Group ◽  
Hydrologic Soil Group

Bendungan direncanakan dibangun untuk dimanfaatkan dalam memenuhi kebutuhan di bidang sumber daya air. Disamping manfaat yang terkandung di dalamnya, akan terdapat bahaya besar bila ada ketidakmampuan struktur bendungan dalam menahan banjir yang masuk ke dalam waduk. Pemilihan metode yang tepat untuk memperkirakan besaran banjir rencana merupakan bagian dari keamanan bendungan. Permasalahan yang terjadi di Indonesia adalah pencatatan data pada pos duga air tidak tersedia. Salah satu metode perhitungan kehilangan air (losses) pada pemodelan banjir adalah NRCS-CN. Kelebihan metode ini dapat digunakan untuk wilayah yang tidak memiliki data hidrograf banjir maupun tinggi muka air waduk, tetapi tersedia data pencatatan hujan. Dalam penentuan nilai CN, Indonesia belum memiliki peta HSG (Hydrologic Soil Group) sehingga perlu dibuat peta tanah seperti HWSD. Penelitian dilakukan dengan penentuan CN menggunakan peta tanah (HWSD), tataguna lahan (BAPPEDA). Kehilangan air dilakukan dengan model HEC-HMS. Penelitian  dilakukan di DAS Brantas Hulu dengan titik outlet Bendungan Sutami. Simulasi dilakukan dengan kalibrasi tinggi muka air. Kelompok HSG yang didapat dari peta HWSD pada DAS Brantas Hulu adalah D (lempung), B (tanah liat berlanau), dan A (pasir bertanah liat). Penentuan HSG dari peta tanah HWSD dengan metode kehilangan air NRCS-CN dan hidrograf satuan NRCS menghasilkan kalibrasi terbaik didapatkan dari RMSE dan beda tinggi pada AMC II dan λ=0,2 untuk bulan Maret 2007 (RMSE=0.55) serta AMC II dan λ=0,05 bulan Desember 2007 (RMSE=0.65).

scholarly journals Characteristics of Flood Water Level Based on Hydrologic Soil Group Analysis in Temef Watershed

2020 ◽  
Vol 437 ◽  
pp. 012005
Author(s):  
D. Frangky B. Welkis ◽  
Ferry Moun ◽  
Iki Lobo ◽  
Denik Sri Krisnayanti
Keyword(s):  
Water Level ◽  
Group Analysis ◽  
Flood Water ◽  
Soil Group ◽  
Hydrologic Soil Group

Construction of a Digital Hydrologic Soil Group Map for Argentina to Simulate Runoff Using GIS - Hydrologic Models

2008 ◽  
Author(s):  
Gabriel G Vazquez-Amabile ◽  
Pablo A Mercuri ◽  
Fernanda J Gaspari ◽  
Bernard A Engel
Keyword(s):  
Hydrologic Models ◽  
Soil Group ◽  
Hydrologic Soil Group

scholarly journals Determination of Hydrologic Soil Group from Soil Map Unit of Indonesia in Pataruman Water Catchment Area

2020 ◽  
Vol 1477 ◽  
pp. 052040
Author(s):  
Anri Noor Annisa Ramadan ◽  
Anwar Sadili ◽  
Zefri Sumardi ◽  
Rega Rizaldy Solihin
Keyword(s):  
Catchment Area ◽  
Soil Map ◽  
Soil Group ◽  
Water Catchment Area ◽  
Hydrologic Soil Group ◽  
Soil Map Unit ◽  
Water Catchment

scholarly journals Hydrologic soil group based curve number matrix modeling for Enset-Based land use system in Meki River Watershed, Western Lake Ziway Sub-Basin, Central Rift Valley of Ethiopia

2021 ◽  
Author(s):  
Alemu Beyene Woldesenbet ◽  
Sebsebe Demisew Wudmatas ◽  
Mekuria Argaw Denboba ◽  
Azage Gebreyohannes Gebremariam
Keyword(s):  
Land Use ◽  
Curve Number ◽  
Infiltration Rate ◽  
River Watershed ◽  
Soil Database ◽  
Soil Group ◽  
Matrix Modeling ◽  
Western Lake ◽  
Land Use System ◽  
Hydrologic Soil Group

Abstract Background Enset-Based land use system (EBLUS) exhibits good carbon stock and infiltration rate equivalent to forest covered areas, which enhances infiltration and water holding capacity and it can reduce the curve number (CN) of the watersheds but it was not considered in former studies. Therefore, this study is planned to model the hydrologic soil group (HSG) based CN matrix of EBLUS relative to other LUSs with established hydrological characteristics in the Meki river watershed. The soil data is used to determine the HSG of the watershed collected from Ministry of Water, Irrigation and Energy (MOWIE) and verified by Harmonized World Soil Database (HWSD). A Model is developed for CN of EBLUS relative to other LUSs (Alemu’s formula). The model considers both infiltration rate measured using Amozi-meter and carbon stoke of soil weighed as 85% and 15% respectively. HEC-GEO-HMS model is used to consider the CN of EBLUS as a separate LUS to verify the developed CN matrix model to generate CN of the sub-watersheds. Result The field measurement results show that an infiltration rate of 12.9675,11.1875,10.375,7.065 and 12.8125mm hr -1 for Natural Forest, Grassland and plantation, cultivated, built-up and EBLUS respectively. The model is: and the resulting CN matrix of EBLUS is 39,51.5,58.3 and 61.6 for HSG of A,B,C and D respectively. Conclusion Significant reduction in mean CN of the watershed that shows the role of EBLUS in managing the water resources and flood is high. Therefore, escalating EBLUS will reduce the CN of the watershed which reduces runoff volume in the watershed and it ensures the sustainability of Lake Ziway by reducing sedimentation.

Penentuan hydrologic soil group untuk perhitungan debit banjir Di Daerah Aliran Sungai Brantas Hulu

2018 ◽  
Vol 13 (2) ◽  
pp. 69-82 ◽  
Author(s):  
Anri Noor Annisa Ramadan ◽  
Wanny K Adidarma ◽  
Bambang Adi Riyanto ◽  
Kamsiyah Windianita
Keyword(s):  
Reservoir Water ◽  
Soil Map ◽  
Soil Group ◽  
Flood Hydrograph ◽  
Record Data ◽  
Hydrologic Soil Group ◽  
Loss Method ◽  
The Right ◽  
Great Danger

Dams are planned and built to be used for water resources activities. Besides the benefits, there were a great danger if the inability of the dam structure to holding the flood is available. The choice of the right method for the magnitude of the plan flood is part of the dam security. Problems that occurred in Indonesia former record data from AWLR is not available. One method of losses flood modeling is NRCS-CN. Moreover, this method can be used for areas without flood hydrograph or reservoir water leveldata, however rainfall record data is available. In CN's determination, Indonesia does not have a HSG (Hydrologic Soil Group) map that needs to be made from another soil map like HWSD. The research was conducted using CN method using land map (HWSD), land use (BAPPEDA). Losses were carried out with HEC-HMS model. The study was conducted in the Upper Brantas basin withSutai Dam outlet. The simulation was done by calibrating the water level. HSG groups obtained from HWSD maps in Upper Brantas basin are A (loamy sand), B (loam), and D (clay). Determination of HSG from HWSD soil map with NRCS-CN loss method and NRCS UH resulted the best calibration of AMC II and ? = 0.2 in March 2007 (RMSE = 0,55) and AMC II and ? = 0.05 December 2007 (RMSE = 0.65).

scholarly journals Effect of Soil Diversity on Forest Plant Species Abundance: A Case Study from Central-European Highlands

Forests ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 534
Author(s):  
Pavel Samec ◽  
Jiří Volánek ◽  
Miloš Kučera ◽  
Pavel Cudlín
Keyword(s):  
Soil Properties ◽  
Plant Species ◽  
Plant Diversity ◽  
Species Abundance ◽  
Plant Distribution ◽  
Soil Diversity ◽  
Abiotic Environment ◽  
Soil Group ◽  
Biogeographical Regions ◽  
Forest Distribution

Plant distribution is most closely associated with the abiotic environment. The abiotic environment affects plant species’ abundancy unevenly. The asymmetry is further deviated by human interventions. Contrarily, soil properties preserve environmental influences from the anthropogenic perturbations. The study examined the supra-regional similarities of soil effects on plant species’ abundance in temperate forests to determine: (i) spatial relationships between soil property and forest-plant diversity among geographical regions; (ii) whether the spatial dependencies among compared forest-diversity components are influenced by natural forest representation. The spatial dependence was assessed using geographically weighted regression (GWR) of soil properties and plant species abundance from forest stands among 91 biogeographical regions in the Czech Republic (Central Europe). Regional soil properties and plant species abundance were acquired from 7550 national forest inventory plots positioned in a 4 × 4 km grid. The effect of natural forests was assessed using linear regression between the sums of squared GWR residues and protected forest distribution in the regions. Total diversity of forest plants is significantly dependent on soil-group representation. The soil-group effect is more significant than that of bedrock bodies, most of all in biogeographical regions with protected forest representation >50%. Effects of soil chemical properties were not affected by protected forest distribution. Spatial dependency analysis separated biogeographical regions of optimal forest plant diversity from those where inadequate forest-ecosystem diversity should be increased alongside soil diversity.

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