Pataruman Watershed Curve Number Determination Study Based on Indonesia Land Map Unit

2021 ◽  
Vol 26 (2) ◽  
pp. 258-266
Author(s):  
Anri Noor Annisa Ramadan ◽  
Dicky Nurmayadi ◽  
Anwar Sadili ◽  
Rega Rizaldy Solihin ◽  
Zefri Sumardi

The rainfall-runoff model is commonly used in flood discharge computation. One of the most frequently employed methods to estimate the flood discharge in the ungauged basin is NRCS-CN. This study is aimed to determine the CN value with/without soil drainage capacity from the soil information in SPT Indonesia. The location used is Pataruman watershed by calibrating the simulation discharge results with the observed discharge. Soil conditions in the Pataruman watershed show that the soil texture has a fine texture (HSG D), a slightly fine texture (HSG C), and a slightly coarse texture (HSG A). The average composite CN in the Pataruman watershed without soil drainage capacity was 85.58 while soil drainage capacity was 81.01. The results of the analysis show that with/without taking into account the soil drainage capacity in the Pataruman watershed there is no significant difference in discharge with a relation coefficient of 0.734 (without soil drainage capacity) and 0.732 (with soil drainage capacity). CN calculations with/without soil drainage capacity are recommended for small watersheds.

2021 ◽  
Vol 14 (1) ◽  
pp. 73-86
Author(s):  
Asep Kurnia Hidayat ◽  
Pengki Irawan ◽  
Jaza'ul Ikhsan ◽  
Sri Atmadja ◽  
Novia Komala Sari

Abstrak. DAS Citanduy merupakan salah DAS yang terbesar di pulau Jawa dengan sungai utama adalah Cintanduy. DAS Citanduy terdiri dari beberapa sub DAS, salah satunya adalah sub DAS Citanduy Hulu. Perubahan tata guna lahan di DAS Citanduy Hulu terus terjadi, kondisi tsb telah mengakibatkan peningkatan debit banjir di sungai. Peningkatan debit di sungai diakibatkan adanya limpasan permukaan akibat hujan. limpasan permukaan dapat dianalisis menggunakan metode SCS (Soil Conservation Service). Metode SCS juga dianalisis berdasarkan kondisi tanah, sehingga dapat menentukan nilai Curve Number (CN) dari lahan. Hasil analisis tahun 2018, menunjukkan bahwa tutupan lahan 18,99% atau 13.735,97 ha berupa hutan (hutan primer, sekunder dan hutan tanaman). Sebaran jenis tanah di umumnya adalah Typic Dystrudepts (36,57%) dan Typic Hapludands (37,93%). Hydrological Soil Group (HSG) di DAS Citanduy Hulu didominasi oleh klas B sebesar 76, 92 %. Hasil analisis didapatkan bahwa DAS Citanduy Hulu tebal runoff maksimum pada PUH 2, 5, 10, 25, dan 50 tahun secara berurutan adalah 104 mm, 133 mm, 147 mm, 171 mm dan 187 mm. Tebal limpasan permukaan minimum dengan PUH 2, 5, 10, 25 dan 50 tahun secara berurutan adalah 17 mm, 31 mm, 39 mm, 53 mm dan 64 mm. Tebal limpasan permukaan menunjukkan potensi peningkatan debit banjir.Analysis And Mapping Runoff In Watershed Upper Citanduy With SCSN MethodAbstract. Citanduy watershed is one of the largest watersheds on the island of Java with the main river being Cintanduy. The Citanduy watershed consists of several sub-watersheds, one of which is the Upper Citanduy sub-watershed. Changes in land use in the Upper Citanduy watershed continue to occur, this condition has resulted in an increase in flood discharge in the river. The increase in discharge in the river is caused by surface runoff due to rain. Surface runoff can be analyzed using the SCS (Soil Conservation Service) method. The SCS method is also analyzed based on soil conditions so that it can determine the Curve Number (CN) value of the land. The results of the 2018 analysis show that 18.99% or 13,735.97 ha of land cover is forest (primary, secondary and plantation forests). The distribution of soil types, in general, is Typic Dystrudepts (36.57%) and Typic Hapludands (37.93%). Hydrological Soil Group (HSG) in the Upper Citanduy watershed is dominated by class B by 76.92%. The results of the analysis showed that the maximum runoff thickness of the Upper Citanduy Watershed at PUH 2, 5, 10, 25, and 50 years respectively was 104 mm, 133 mm, 147 mm, 171 mm, and 187 mm. The minimum surface runoff thickness with PUH 2, 5, 10, 25, and 50 years respectively is 17 mm, 31 mm, 39 mm, 53 mm, and 64 mm. The thickness of the surface runoff indicates the potential for increased flood discharge.


2019 ◽  
Vol 1 (1) ◽  
pp. 33
Author(s):  
M Welly

Many people in Indonesia calculate design rainfall before calculating the design flooddischarge. The design rainfall with a certain return period will eventually be convertedinto a design flood discharge by combining it with the characteristics of the watershed.However, the lack of a network of rainfall recording stations makes many areas that arenot hydrologically measured (ungauged basin), so it is quite difficult to know thecharacteristics of rain in the area concerned. This study aims to analyze thecharacteristics of design rainfall in Lampung Province. The focus of the analysis is toinvestigate whether geographical factors influence the design rainfall that occurs in theparticular area. The data used in this study is daily rainfall data from 15 rainfallrecording stations spread in Lampung Province. The method of frequency analysis usedin this study is the Gumbel method. The research shows that the geographical location ofan area does not have significant effect on extreme rainfall events. The effect of risingearth temperatures due to natural exploitation by humans tends to be stronger as a causeof extreme events such as extreme rainfall.Keywords: Influence, geographical, factors, extreme, rainfall.


Plant Methods ◽  
2021 ◽  
Vol 17 (1) ◽  
Author(s):  
M. Musse ◽  
G. Hajjar ◽  
N. Ali ◽  
B. Billiot ◽  
G. Joly ◽  
...  

Abstract Background Drought is a major consequence of global heating that has negative impacts on agriculture. Potato is a drought-sensitive crop; tuber growth and dry matter content may both be impacted. Moreover, water deficit can induce physiological disorders such as glassy tubers and internal rust spots. The response of potato plants to drought is complex and can be affected by cultivar type, climatic and soil conditions, and the point at which water stress occurs during growth. The characterization of adaptive responses in plants presents a major phenotyping challenge. There is therefore a demand for the development of non-invasive analytical techniques to improve phenotyping. Results This project aimed to take advantage of innovative approaches in MRI, phenotyping and molecular biology to evaluate the effects of water stress on potato plants during growth. Plants were cultivated in pots under different water conditions. A control group of plants were cultivated under optimal water uptake conditions. Other groups were cultivated under mild and severe water deficiency conditions (40 and 20% of field capacity, respectively) applied at different tuber growth phases (initiation, filling). Water stress was evaluated by monitoring soil water potential. Two fully-equipped imaging cabinets were set up to characterize plant morphology using high definition color cameras (top and side views) and to measure plant stress using RGB cameras. The response of potato plants to water stress depended on the intensity and duration of the stress. Three-dimensional morphological images of the underground organs of potato plants in pots were recorded using a 1.5 T MRI scanner. A significant difference in growth kinetics was observed at the early growth stages between the control and stressed plants. Quantitative PCR analysis was carried out at molecular level on the expression patterns of selected drought-responsive genes. Variations in stress levels were seen to modulate ABA and drought-responsive ABA-dependent and ABA-independent genes. Conclusions This methodology, when applied to the phenotyping of potato under water deficit conditions, provides a quantitative analysis of leaves and tubers properties at microstructural and molecular levels. The approaches thus developed could therefore be effective in the multi-scale characterization of plant response to water stress, from organ development to gene expression.


Water ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1669 ◽  
Author(s):  
Nam Kim ◽  
Mun-Ju Shin

Hourly flood flow estimation for gauged and ungauged catchments is a prerequisite for planning and water management. Various methods have been applied in a multitude of studies to calculate the peak flow for ungauged catchments. However, it is not simple for engineers to use the existing methods in practical applications. An easier method is suggested for this purpose in this study. The authors estimated the relationship between the runoff coefficient, intensity of rainfall, and curve number, and then utilized the relationship to calculated the peak flow using the rational method for ungauged catchments. Rainfall and flood time series for ungauged study catchments were generated by a simple data generation method and a distributed rainfall–runoff model. Results showed that the runoff coefficients simulated using the estimated relationship reasonably agree with the runoff coefficients in the studied ungauged catchments. In addition, the peak flow simulated using the rational method and the relationship highly agree with the peak flow in the ungauged catchments. Therefore, the peak flow in ungauged catchments can be easily calculated by this method, which is more pragmatic for engineers.


2015 ◽  
Vol 33 (1) ◽  
pp. 20-28 ◽  
Author(s):  
Juan De la Cruz Jiménez ◽  
Juan Andrés Cardoso ◽  
David Arango-Londoño ◽  
Gerhard Fischer ◽  
Idupulapati Rao

As a consequence of global warming, rainfall is expected to increase in several regions around the world. This, together with poor soil drainage, will result in waterlogged soil conditions. <em>Brachiaria</em> grasses are widely sown in the tropics and, these grasses confront seasonal waterlogged conditions. Several studies have indicated that an increase in nutrient availability could reduce the negative impact of waterlogging. Therefore, an outdoor study was conducted to evaluate the responses of two <em>Brachiaria</em> sp. grasses with contrasting tolerances to waterlogging, <em>B. ruziziensis </em>(sensitive) and <em>B. humidicola</em> (tolerant), with two soil fertility levels. The genotypes were grown with two different soil fertilization levels (high and low) and under well-drained or waterlogged soil conditions for 15 days. The biomass production, chlorophyll content, photosynthetic efficiency, and macro- (N, P, K, Ca, Mg and S) and micronutrient (Fe, Mn, Cu, Zn and B) contents in the shoot tissue were determined. Significant differences in the nutrient content of the genotypes and treatments were found. An increase of redoximorphic elements (Fe and Mn) in the soil solution occurred with the waterlogging. The greater tolerance of <em>B. humidicola</em> to waterlogged conditions might be due to an efficient root system that is able to acquire nutrients (N, P, K) and potentially exclude phytotoxic elements (Fe and Mn) under waterlogged conditions.  A high nutrient availability in the waterlogged soils did not result in an improved tolerance for <em>B. ruziziensis</em>. The greater growth impairment seen in the <em>B. ruziziensis</em> with high soil fertility and waterlogging (as opposed to low soil fertility and waterlogging) was possibly due to an increased concentration of redoximorphic elements under these conditions.


2014 ◽  
Vol 16 (1) ◽  
pp. 188-203 ◽  

<div> <h1 style="text-align: justify;"><span style="font-size:11px;"><span style="font-family:arial,helvetica,sans-serif;">In this paper, the application of a continuous rainfall-runoff model to the basin of Kosynthos River (district of Xanthi, Thrace, northeastern Greece), as well as the comparison of the computational runoff results with field discharge measurements are presented. The rainfall losses are estimated by the widely known Soil Conservation Service-Curve Number model, while the transformation of rainfall excess into direct runoff hydrograph is made by using the dimensionless unit hydrograph of Soil Conservation Service. The baseflow is computed by applying an exponential recession model. The routing of the total runoff hydrograph from the outlet of a sub-basin to the outlet of the whole basin is achieved by the Muskingum-Cunge model. The application of this complex hydrologic model was elaborated with the HEC-HMS 3.5 Hydrologic Modeling System of the U.S. Army Corps of Engineers. The results of the comparison between computed and measured discharge values are very satisfactory.</span></span></h1> </div> <p>&nbsp;</p>


2014 ◽  
Vol 60 (No. 1) ◽  
pp. 36-42 ◽  
Author(s):  
Z. Kvíz ◽  
M. Kroulik ◽  
J. Chyba

Machines without satellite navigation in fields have a tendency to pass-to-pass errors, especially unwanted overlaps, resulting in waste of fuel and pesticides, longer working times and also environmental damage. This paper evaluates the accuracy of individual machinery passes in fields. Real pass-to-pass errors (omissions and overlaps) in a field were measured on different tractor-implement units with and without guidance system utilization and a comparison between observed guidance arrangements was made regarding final working accuracy and possible benefits from navigation utilization. Additionally, intensity of machinery passes, and repeated passes on soil, as a possible risk for soil compaction in fields, were monitored. The outcomes from our measurements revealed a statistically significant difference between the total area treated by machinery without any guidance system and machinery using precise guidance systems. Concerning the intensity of traffic in fields, it was found out that more than 86% of the total field area was run-over at least once during one cropping season when using conventional tillage practice. The usage of guidance systems can reduce machinery traffic in field to some extent as well and thus improve soil conditions.


Soil Research ◽  
2004 ◽  
Vol 42 (3) ◽  
pp. 289 ◽  
Author(s):  
Dieter Geesing ◽  
Martin Bachmaier ◽  
Urs Schmidhalter

Soil water research requires methods to perform accurate measurements. A capacitance probe gauge has characteristics that seem to make it an attractive replacement for neutron scatter gauges to measure soil water content, but there is evidence that capacitance systems should be calibrated for individual soils. Laboratory calibrations and many field calibration methods are costly and time-consuming, and controlled conditions and disturbed soil samples do not always reflect field conditions, and thus, they are inadequate for practical use. The objectives of the present study were (i) to test a simple field calibration method for a recently developed capacitive sensor even under highly variable soil texture conditions, and (ii) to validate this approach under various soil moisture conditions. Soil samples were taken 0.5 m from the access tube of the sensor and a whole field calibration and several site-specific calibrations were developed using 10–142 observations per site under different soil water regimes. A regression of soil water content estimated by sensor reading on water content obtained by core sampling showed no significant difference in the slope and intercept of the 1:1 line when the field calibration was applied. However, the precision of the calibration was only considerably increased if the estimations were based on site-specific calibrations developed on at least 35 observations per site. The precision and accuracy of the calibration equations were not affected when data were obtained only under wet or dry soil conditions. The method presented in this paper is a speedy and cheap way to calibrate capacitance probe sensors.


2010 ◽  
Vol 148 (3) ◽  
pp. 303-317 ◽  
Author(s):  
H. JONES ◽  
S. CLARKE ◽  
Z. HAIGH ◽  
H. PEARCE ◽  
M. WOLFE

SUMMARYNineteen wheat cultivars, released from 1934 to 2000, were grown at two organic and two non-organic sites in each of 3 years (2004–05, 2005–06 and 2006–07). Assessments included grain yield, grain protein concentration, protein yield, disease incidence and green leaf area (GLA). The superiority of each cultivar (the sum of the squares of the differences between its mean in each environment and the mean of the best cultivar there, divided by twice the number of environments; CS) was calculated for yield, grain protein concentration and protein yield, and ranked in each environment. The yield and grain protein concentration CS were more closely correlated with cultivar release date at the non-organic sites than at organic sites. This difference may be attributed to higher yield levels with larger differences among cultivars at the non-organic sites, rather than to improved stability (i.e. similar ranks) across sites. The significant difference in the correlation of protein yield CS and cultivar age between organic and non-organic sites would support evidence that the ability to take up mineral nitrogen (N) compared to soil N has been a component of the selection conditions of more modern cultivars (released after 1989). This is supported by assessment of GLA, where more modern cultivars in the non-organic systems had greater late-season GLA, a trend that was not identified in organic conditions. This effect could explain the poor correlation between age and protein yield CS in organic compared to non-organic conditions where modern cultivars are selected to benefit from later nitrogen (N) availability which includes the spring nitrogen applications tailored to coincide with peak crop demand. Under organic management, N release is largely based on the breakdown of fertility-building crops incorporated (ploughed-in) in the previous autumn. The release of nutrients from these residues is dependent on the soil conditions, which includes temperature and microbial populations, in addition to the potential leaching effect of high winter rainfall in the UK. In organic cereal crops, early resource capture is a major advantage for maximizing the utilization of nutrients from residue breakdown. It is concluded that selection of cultivars under conditions of high agrochemical inputs selects for cultivars that yield well under maximal conditions in terms of nutrient availability and pest, disease and weed control. The selection conditions for breeding have a tendency to select cultivars which perform relatively better in non-organic compared to organic systems.


Land ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1166
Author(s):  
Bruno Gianmarco Carra ◽  
Giuseppe Bombino ◽  
Manuel Esteban Lucas-Borja ◽  
Pietro Denisi ◽  
Pedro Antonio Plaza-Álvarez ◽  
...  

The SCS-CN, Horton, and USLE-family models are widely used to predict and control runoff and erosion in forest ecosystems. However, in the literature there is no evidence of their use in Mediterranean forests subjected to prescribed fire and soil mulching. To fill this gap, this study evaluates the prediction capability for runoff and soil loss of the SCS-CN, Horton, MUSLE, and USLE-M models in three forests (pine, chestnut, and oak) in Southern Italy. The investigation was carried out at plot and event scales throughout one year, after a prescribed fire and post-fire soil mulching with fern. The SCS-CN and USLE-M models were accurate in predicting runoff volume and soil loss, respectively. In contrast, poor predictions of the modelled hydrological variables were provided by the models in unburned plots, and by the Horton and MUSLE models for all soil conditions. This inaccuracy may have been due to the fact that the runoff and erosion generation mechanisms were saturation-excess and rainsplash, while the Horton and MUSLE models better simulate infiltration-excess and overland flow processes, respectively. For the SCS-CN and USLE-M models, calibration was needed to obtain accurate predictions of surface runoff and soil loss; furthermore, different CNs and C factors must be input throughout the year to simulate the variability of the hydrological response of soil after fire. After calibration, two sets of CNs and C-factor values were suggested for applications of the SCS-CN and USLE-M models, after prescribed fire and fern mulching in Mediterranean forests. Once validated in a wider range of environmental contexts, these models may support land managers in controlling the hydrology of Mediterranean forests that are prone to wildfire risks.


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