scholarly journals Simulasi Arahan Penggunaan Lahan di DAS Limboto dalam Rangka Pengendalian Kekeringan

2019 ◽  
Vol 33 (2) ◽  
pp. 87
Author(s):  
Sri Rahayu Ayuba ◽  
Munajat Nursaputra ◽  
Tisen Tisen
Keyword(s):  
Soil Moisture ◽  
Soil Water ◽  
Input Data ◽  
Assessment Tool ◽  
Soil Moisture Deficit ◽  
Moisture Deficit ◽  
Water Assessment ◽  
Soil And Water

Perubahan penggunaan lahan bisa dibilang kekuatan sosioekonomi yang paling meluas mendorong perubahan dan degradasi ekosistem (Wu, 2008). (Kodoatie, 2010) menyatakan bahwa, terganggunya siklus hidrologi telah menimbulkan “3 T” masalah klasik air “too much (yang menimbulkan banjir), “too little (yang menimbulkan kekeringan) dan “too dirty (yang menimbulkan pencemaran air). Berdasarkan data BNPB tahun 1979-2009 terdapat 8 kejadian kekeringan di Provinsi Gorontalo. Penelitian ini bertujuan (1) mengetahui tingkat kerentanan DAS Limboto terhadap kekeringan. (2) menyusun arahan penggunaan lahan pada DAS Limboto berdasarkan penentuan tingkat kerentanan kekeringan. (3) mengsimulasikan arahan penggunaan lahan dalam rangka pengendalian kekeringan di DAS Limboto. Penelitian ini dilaksanakan pada Daerah Aliran Sungai (DAS) Limboto dengan luas DAS 86412,6 ha. Metode yang digunakan adalah Metode SWAT (Soil and Water Assessment Tool) dengan menggunakan software ArcSwat yang terintegrasi SIG. Penelitian ini termasuk dalam penellitian non-eksperimen yakni dengan menggunakan pengamatan langsung di lapangan. Input data SWAT antara lain lereng, jenis tutupan lahan, iklim, dan jenis tanah. Analisis yang digunakan dalam menentukan kerentanan DAS terhadap kekeringan adalah dengan menggunakan Soil Moisture Deficit Index (SMDI) melalui parameter Soil Water (SW). Pada penelitian ini penggunaan output model SWAT melalui ArcSwat, telah mampu menggambarkan kondisi pasokan air pada DAS Limboto, yang secara keseluruhan telah termasuk dalam kategori “Rentan”. Dengan membandingkan luas area yang mengalami kekeringan pada sebelum dan setelah dilakukan simulasi/running arahan penggunaan lahan maka dapat disimpulkan bahwa selisih luas area DAS yang mengalami kekeringan dengan klasifikasi “Rentan” diperoleh 37.513,1 ha atau secara persentasi mengalami penurunan sebesar 43,4 % dari luas DAS.

scholarly journals Evaluation of SWAT Soil Water Estimation Accuracy Using Data from Indiana, Colorado, and Texas

2020 ◽  
Vol 63 (6) ◽  
pp. 1827-1843
Author(s):  
Ahmed A. Hashem ◽  
Bernard A. Engel ◽  
Gary W. Marek ◽  
Jerry E. Moorhead ◽  
Dennis C. Flanagan ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Soil Profile ◽  
Assessment Tool ◽  
Swat Model ◽  
List Type ◽  
Water Assessment ◽  
Soil And Water

HighlightsSWAT soil water assessment was performed using soil water measurements.Dryland SWAT model soil water content was greater than the irrigated SWAT model.Using SWAT soil water estimates for real-time (daily) irrigation management purposes with the existing SWAT soil water subroutines and available soils data is considered risky.The surface layer showed the greatest soil water variability compared to deeper layers.Abstract. Soil water content (SWC) is a challenging measurement at the field, watershed, and regional scales. Soil and Water Assessment Tool (SWAT) soil water estimates were evaluated at three locations: the St. Joseph River watershed (SJRW) in northeast Indiana, the USDA-ARS Conservation and Production Research Laboratory (CPRL) at Bushland, Texas, and the USDA-ARS Limited Irrigation Research Farm (LIFR) at Greeley, Colorado. The soil water estimates were evaluated under two scenarios: (1) for the defined soil profile, and (2) by individual layer. Each site’s soil water assessment was performed based on the existing management conditions during each experiment, whether dryland or irrigated, and for various periods depending on SWC measurement availability at each site. The SWAT soil water was evaluated as follows: the Indiana site was evaluated under dryland conditions using daily soil water observations for one year; the Texas site was evaluated for a ten-year period under irrigated and dryland conditions using weekly soil water observations from four lysimeters; and the Colorado site was evaluated under irrigated conditions for a four-year period. The simulated soil water was evaluated by comparing the model simulations with observed daily and weekly soil water measurements at the three sites. Based on the results, even though all the SWAT models were considered to perform as good models following calibration (streamflow, ET, etc.), the soil water simulations were unacceptable for the defined soil profile and for individual layers at the three sites. Deeper soil layers had observations greater than field capacity values, indicating poor soil parameterization. The dryland model had greater water content than the irrigated model, contradicting the soil water measurements. This greater soil water simulation with the dryland model is a result of SWAT model uncertainties with ET reduction under dryland conditions due to water stress. This study indicated that soil water estimation using the default SWAT soil water equations has many sources of uncertainties. Two apparent sources resulted in the SWAT model’s poor performance: (1) SWAT soil water routines that do not fully represent soil water moving between layers to meet plant demand and (2) uncertainty in soil parameterization. Keywords: Hydrologic modeling, Soil moisture, Soil moisture sensor, Soil water, Soil and Water Assessment Tool.

Evaluation of SWAT Soil Water Estimation Accuracy Using Data from Indiana, Colorado, and Texas

2020 ◽  
Vol 63 (6) ◽  
pp. 1827-1843
Author(s):  
Ahmed A. Hashem ◽  
Bernard A. Engel ◽  
Gary W. Marek ◽  
Jerry E. Moorhead ◽  
Dennis C. Flanagan ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Soil Profile ◽  
Assessment Tool ◽  
Swat Model ◽  
List Type ◽  
Water Assessment ◽  
Soil And Water

HighlightsSWAT soil water assessment was performed using soil water measurements.Dryland SWAT model soil water content was greater than the irrigated SWAT model.Using SWAT soil water estimates for real-time (daily) irrigation management purposes with the existing SWAT soil water subroutines and available soils data is considered risky.The surface layer showed the greatest soil water variability compared to deeper layers.Abstract. Soil water content (SWC) is a challenging measurement at the field, watershed, and regional scales. Soil and Water Assessment Tool (SWAT) soil water estimates were evaluated at three locations: the St. Joseph River watershed (SJRW) in northeast Indiana, the USDA-ARS Conservation and Production Research Laboratory (CPRL) at Bushland, Texas, and the USDA-ARS Limited Irrigation Research Farm (LIFR) at Greeley, Colorado. The soil water estimates were evaluated under two scenarios: (1) for the defined soil profile, and (2) by individual layer. Each site’s soil water assessment was performed based on the existing management conditions during each experiment, whether dryland or irrigated, and for various periods depending on SWC measurement availability at each site. The SWAT soil water was evaluated as follows: the Indiana site was evaluated under dryland conditions using daily soil water observations for one year; the Texas site was evaluated for a ten-year period under irrigated and dryland conditions using weekly soil water observations from four lysimeters; and the Colorado site was evaluated under irrigated conditions for a four-year period. The simulated soil water was evaluated by comparing the model simulations with observed daily and weekly soil water measurements at the three sites. Based on the results, even though all the SWAT models were considered to perform as good models following calibration (streamflow, ET, etc.), the soil water simulations were unacceptable for the defined soil profile and for individual layers at the three sites. Deeper soil layers had observations greater than field capacity values, indicating poor soil parameterization. The dryland model had greater water content than the irrigated model, contradicting the soil water measurements. This greater soil water simulation with the dryland model is a result of SWAT model uncertainties with ET reduction under dryland conditions due to water stress. This study indicated that soil water estimation using the default SWAT soil water equations has many sources of uncertainties. Two apparent sources resulted in the SWAT model’s poor performance: (1) SWAT soil water routines that do not fully represent soil water moving between layers to meet plant demand and (2) uncertainty in soil parameterization. Keywords: Hydrologic modeling, Soil moisture, Soil moisture sensor, Soil water, Soil and Water Assessment Tool.

scholarly journals Application of the SWAT (Soil and Water Assessment Tool) model in the Ronnea catchment of Sweden

2013 ◽  
Vol 7 (3) ◽  
pp. 252-257
Keyword(s):  
Input Data ◽  
Management Practices ◽  
Assessment Tool ◽  
Swat Model ◽  
Soil Parameters ◽  
Daily Step ◽  
Calibration And Validation ◽  
The Impact ◽  
Water Assessment ◽  
Soil And Water

The subject of this article is the estimation of quantitative (hydrological) and qualitative parameters in the catchment of Ronnea (1800 Km2, located in south western Sweden) through the application of the Soil and Water Assessment Tool (SWAT). SWAT is a river basin model that was developed for the U.S.D.A. Agricultural Research Service, by the Blackland Research Center in Texas. The SWAT model is a widely known tool that has been used in several cases world-wide. It has the ability to predict the impact of land management practices on water, sediment and agricultural chemical yield in large complex watersheds. The present work investigates certain capabilities of the SWAT model which have not identified up to now. More in specific, the main targets of the work carried out are the following: • Identification of the existing hydrological and qualitative conditions • Preparation - Processing of data required to be used as input data of the model • Hydrological calibration - validation of the model, in 7 subbasins of the Catchment of Ronnea • Estimation and evaluation of the simulated qualitative parameters of the model All available data were offered by the relevant Institutes of Sweden, in the framework of the European program EUROHARP. The existing conditions in the catchment of Ronnea, are described in detail including topography, land uses, soil types, pollution sources, agricultural management practices, precipitation, temperature, wind speed, humidity, solar radiation as well as observed discharges and Nitrogen and Phosphorus substances concentrations. Most of the above data were used as input data for the application of SWAT model. Adequate methods were also used to complete missing values in time series and estimate additional parameters (such as soil parameters) required by the model. Hydrological calibration and validation took place for each outlet of the 7 subbasins of Ronnea catchment in an annual, monthly and daily step. The calibration was achieved by estimating parameters related to ground water movement and evaluating convergence between simulated and observed discharges by using mainly the Nash & Sutcliffe coefficient (NTD). Through the sensitivity analysis, main parameters of the hydrological simulation, were detected. According to the outputs of the SWAT model, the water balance of Ronnea catchment was also estimated. Hydrological calibration and validation is generally considered sufficient in an annual and monthly step. Hydrological calibration – validation in daily step, generally does not lead to high values of the NTD indicator. However, when compared to results obtained by the use of SWAT in Greece, a relatively high value of NTD is achieved in one subbasin. Finally, a comparison between the simulated and observed concentrations of total Phosphorus and Nitrogen was carried out.

Soil Moisture Deficit as a predictor of the trend in soil water status of grass fields

2013 ◽  
Vol 29 (3) ◽  
pp. 419-431 ◽  
Author(s):  
A. Kerebel ◽  
R. Cassidy ◽  
P. Jordan ◽  
N. M. Holden
Keyword(s):  
Soil Moisture ◽  
Soil Water ◽  
Water Status ◽  
Soil Moisture Deficit ◽  
Soil Water Status ◽  
Moisture Deficit

scholarly journals Modelling Hydrological Ecosystem Services – A state of the art model comparison

2017 ◽  
Author(s):  
Anna Lüke ◽  
Jochen Hack
Keyword(s):  
Decision Making ◽  
Ecosystem Services ◽  
Ecosystem Service ◽  
Service Provision ◽  
Input Data ◽  
Assessment Tool ◽  
Simulation Models ◽  
Service Models ◽  
Water Assessment ◽  
Soil And Water

Abstract. Different simulation models are used in science and practice in order to incorporate hydrological ecosystem services in decision-making processes. This contribution compares three simulation models, the Soil and Water Assessment Tool, a traditional hydrological model, and two ecosystem services models, the Integrated Valuation of Ecosystem Services and Trade-offs model and the Resource Investment Optimization System model. The three models are compared on a theoretical and conceptual basis as well in a comparative case study application. The application of the models to a study area in Nicaragua reveals that a practical benefit to apply these models for different questions in decision-making generally exists. However, modelling of hydrological ecosystem services is associated with a high application effort and requires input data that may not always be available. The degree of detail in temporal and spatial variability in ecosystem service provision is higher when using the Soil and Water Assessment Tool compared to the two ecosystem service models. In contrast, the ecosystem service models have lower requirements on input data and process knowledge. A relationship between service provision and beneficiaries is readily produced and can be visualized as a model output. The latter is especially useful for a practical decision-making context.

scholarly journals Comparing the Applicability of Commonly Used Hydrological Ecosystem Services Models for Integrated Decision-Support

2018 ◽  
Vol 10 (2) ◽  
pp. 346 ◽  
Author(s):  
Anna Lüke ◽  
Jochen Hack
Keyword(s):  
Decision Making ◽  
Ecosystem Services ◽  
Ecosystem Service ◽  
Service Provision ◽  
Input Data ◽  
Assessment Tool ◽  
Simulation Models ◽  
Service Models ◽  
Water Assessment ◽  
Soil And Water

Different simulation models are used in science and practice in order to incorporate hydrological ecosystem services in decision-making processes. This contribution compares three simulation models, the Soil and Water Assessment Tool, a traditional hydrological model and two ecosystem services models, the Integrated Valuation of Ecosystem Services and Trade-offs model and the Resource Investment Optimization System model. The three models are compared on a theoretical and conceptual basis as well in a comparative case study application. The application of the models to a study area in Nicaragua reveals that a practical benefit to apply these models for different questions in decision-making generally exists. However, modelling of hydrological ecosystem services is associated with a high application effort and requires input data that may not always be available. The degree of detail in temporal and spatial variability in ecosystem service provision is higher when using the Soil and Water Assessment Tool compared to the two ecosystem service models. In contrast, the ecosystem service models have lower requirements on input data and process knowledge. A relationship between service provision and beneficiaries is readily produced and can be visualized as a model output. The visualization is especially useful for a practical decision-making context.

scholarly journals Soil water content, runoff and soil loss prediction in a small ungauged agricultural basin in the Mediterranean region using the Soil and Water Assessment Tool

2014 ◽  
Vol 153 (3) ◽  
pp. 481-496 ◽  
Author(s):  
M. C. RAMOS ◽  
J. A. MARTÍNEZ-CASASNOVAS
Keyword(s):  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Soil Loss ◽  
Assessment Tool ◽  
Moderate Intensity ◽  
Daily Weather Data ◽  
Runoff And Soil Loss ◽  
Water Assessment ◽  
Soil And Water

SUMMARYThe aim of the present work was to evaluate the possibilities of using sub-basin data for calibration of the Soil and Water Assessment Tool (SWAT) model in a small (46 ha) ungauged basin (i.e. where the water flow is not systematically measured) and its response. This small basin was located in the viticultural Anoia-Penedès region (North-east Spain), which suffers severe soil erosion. The data sources were: daily weather data from an observatory located close to the basin; a detailed soil map of Catalonia; a 5-m resolution digital elevation model (DEM); a crop/land use map derived from orthophotos taken in 2010 and an additional detailed soil survey (40 points) within the basin, which included properties such as texture, soil organic carbon, electrical conductivity, bulk density and water retention capacity at −33 and −1500 kPa. A sensitivity analysis was performed to identify and rank the sensitive parameters that affect the hydrological response and sediment yield to changes of model input parameters. A 1-year calibration and 1-year validation were carried out on the basis of soil moisture measured at 0·20-m intervals from depths of 0·10 to 0·90 m in two selected sub-basins, and data related to estimations of runoff and sediment concentrations in runoff collected in the same sub-basins. The present paper shows a methodological approach for calibrating SWAT in small ungauged basins using soil water content measurements and runoff samples collected within the basin. The SWAT satisfactorily predicted the average soil water content, runoff and soil loss for moderate intensity events recorded during the study periods. However, it was not satisfactory for high-intensity events which would require exploring the possibilities of using sub-daily information as an input model parameter.

Assessing the performance of a physically-based soil moisture module integrated within the Soil and Water Assessment Tool

2018 ◽  
Vol 109 ◽  
pp. 329-341 ◽  
Author(s):  
Junyu Qi ◽  
Xuesong Zhang ◽  
Gregory W. McCarty ◽  
Ali M. Sadeghi ◽  
Michael H. Cosh ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Assessment Tool ◽  
Physically Based ◽  
Water Assessment ◽  
Soil And Water

scholarly journals PENGGUNAAN MODEL HIDROLOGI DI SUB DAS CILIWUNG HULU

2016 ◽  
Vol 23 (2) ◽  
pp. 197
Author(s):  
Rahmah Dewi Yustika
Keyword(s):  
Sustainable Agriculture ◽  
Input Data ◽  
Assessment Tool ◽  
Swat Model ◽  
Hydrological Processes ◽  
Discharge Flow ◽  
Calibration Methods ◽  
Daily Discharge ◽  
Water Assessment ◽  
Soil And Water

A watershed has complex hydrological components and may be difficult to understand comprehensively. Modelling can be used to simplify and predict the processes which will happen. SWAT (Soil and Water Assessment Tool) is a model which can predict hydrology and simulate various processes in watershed.The objective of this research was: to analyse performance of SWAT model which predict discharge flow in upper Ciliwung watershed through calibration. Methods applied included analysis of the input data and calibration. The research was conducted in the period of June 2011 until June 2012. Based on the data of daily discharge flow in February and March 2008 and 2009, the calibration results showed values of R 0,80 and NSE 0,55. These results described that SWAT model can be used to predict hydrological processes in upper Ciliwung watershed.Prediction of hydrology could be used as the base to manage land agriculture towards sustainable agriculture.

scholarly journals SWAT modeling of the soil properties in GIS-environment: initial calculations

2019 ◽  
Vol 265 ◽  
pp. 04014 ◽  
Author(s):  
Ielizaveta Dunaieva ◽  
Valentina Popovych ◽  
Aleksandr Melnichuk ◽  
Wilfried Mirschel ◽  
Vitaly Terleev ◽  
...  
Keyword(s):  
Input Data ◽  
Moisture Absorption ◽  
Assessment Tool ◽  
Soil Characteristics ◽  
Soil Parameters ◽  
Data Preparation ◽  
Gis Environment ◽  
Water Assessment ◽  
Soil And Water ◽  
Made In

The problem of soil parameters modeling and input data preparation are considered in the article. The use of Soil and Water Assessment Tool was analyzed. The question of the soil water content and basic soil agronomic characteristics was considered. The SWAT project was created for the period of 2014-2017 years and could be prolonged. A soil map and cartographic information were digitized for the analysis of soil characteristics. An assessment of soils moisture absorption in different key areas was made in the course of the research.

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