HYDROLOGICAL MODELLING FOR KHUSHKHERA-BHIWADI-NEEMRANA INVESTMENT REGION, RAJASTHAN USING SWAT

2018 ◽  
Vol 5 (02) ◽  
Author(s):  
Praveen Kumar Shakya
Keyword(s):  
Swat Model ◽  
Alluvial Soil ◽  
Management Program ◽  
Accurate Information ◽  
Watershed Area ◽  
Total Runoff ◽  
Monthly Runoff ◽  
Set Up ◽  
Optimum Water ◽  
Total Average

In India the availability of accurate information of observed runoff is insufficient. However due to water scarcity great emphasis is now placed on preparation of proper watershed management program for conservation and development of land and water management. For the present study, watershed spanning Jaipur and Alwar districts of Rajasthan state of India, with outlet in Khushkhera-Bhiwadi-Neemrana Investment Region (KBNIR) in Rajasthan, under proposed Delhi-Mumbai freight corridor has been selected as the study area for deriving the optimum water use policies. Basic data of the study area were generated with the help of freely available remotely sensed information. Total watershed area is 2995.84 km2, in which 73.27% is agriculture area. The major soil in watershed area is older alluvial soil. On digitization, ArcSWAT created four hundred sixty four hydrological response units by defining unique combinations of the land use, soil cover and slope conditions. By providing all theinputs for model set up, SWAT model was run for the period of thirty five years (1979–2014). Result of actual evapotranspiration and discharge is validated with the output of other modelling exercises of same area. Total average annual surface runoff is calculated to be 94.79 mm out of which highest average monthly runoff is 34.79 mm in the month of July. Total average runoff for the monsoon month is 92.55 mm which is 97.63% of total runoff. Output of this model can be utilized for development of optimum water resource and agricultural management policies of newly development of KBNIR.

scholarly journals Projections of runoff in the Vistula and the Odra river basins with the help of the SWAT model

2017 ◽  
Vol 49 (2) ◽  
pp. 303-317 ◽  
Author(s):  
Mikołaj Piniewski ◽  
Mateusz Szcześniak ◽  
Shaochun Huang ◽  
Zbigniew W. Kundzewicz
Keyword(s):  
Assessment Tool ◽  
Statistical Significance ◽  
Swat Model ◽  
Climate Change Impacts ◽  
Odra River ◽  
Assess Climate Change ◽  
Rcp 8.5 ◽  
Model Set ◽  
Seasonal Runoff ◽  
Set Up

Abstract The objective of this paper is to assess climate change impacts on spatiotemporal changes in annual and seasonal runoff and its components in the basins of two large European rivers, the Vistula and the Odra, for future horizons. This study makes use of the Soil and Water Assessment Tool (SWAT) model, set up at high resolution, and driven by a multi-model ensemble (MME) of nine bias-corrected EURO-CORDEX simulations under two representative concentration pathways (RCPs), 4.5 and 8.5. This paper presents a wealth of illustrative material referring to the annual and seasonal runoff (R) in the reference period as well as projections for the future (MME mean change), with explicit illustration of the multi-model spread based on the agreement between models and statistical significance of change according to each model. Annual R increases are dominating, regardless of RCP and future horizon. The magnitude of the MME mean of spatially averaged increase varies between 15.8% (RCP 4.5, near future) and 41.6% (RCP 8.5, far future). The seasonal patterns show the highest increase in winter and the lowest in spring, whereas the spatial patterns show the highest increase in the inner, lowland part, and the lowest in the southern mountainous part of the basin.

Water and nitrogen balance assessment for Krško polje aquifer case study in Slovenia

2021 ◽  
Author(s):  
Miha Curk ◽  
Matjaž Glavan ◽  
Marina Pintar ◽  
Vesna Zupanc
Keyword(s):  
Land Use ◽  
Nitrogen Balance ◽  
Swat Model ◽  
Nitrate Pollution ◽  
Alluvial Plain ◽  
Agricultural Activities ◽  
Balance Assessment ◽  
Land Use Types ◽  
Set Up

<p>Groundwater is the main source of drinking water in Slovenia, but nitrate pollution originating from agricultural activities as well as urban sources such as faulty sewage systems is threatening its quality in several areas of the country. One of such is the Krško-brežiško polje alluvial plain in the southeast. The main aim of this study was to assess the water and nitrogen balance for three common land-use types, as well as the whole area. Three field trial sites were set up to monitor water and nitrogen balance. Gaps in data were further evaluated by SWAT model simulations. Results will contribute to the existing knowledge of nitrate pollution pathways in the area, and strengthen understanding of land use and soil type’s influence on the process.</p><p>This work was funded by the Slovenian Research Agency project L4-8221 and IAEA TCP-SLO5004.</p>

The effects of multiple factors on spring meltwater erosion on an alpine meadow slope

2021 ◽  
Author(s):  
Xiaonan Shi ◽  
Fan Zhang ◽  
Li Wang
Keyword(s):  
Soil Erosion ◽  
Sediment Yield ◽  
Alpine Meadow ◽  
Alluvial Soil ◽  
Strong Impact ◽  
The Tibetan Plateau ◽  
Slope Gradient ◽  
Multiple Factors ◽  
Total Runoff ◽  
The Impact

<p>Serious soil erosion is observed during the spring because soil thawing coincides with the period of snowmelt and low meadow coverage at this time. Studies relating to soil erosion caused by spring meltwater are limited and controversial. In this study, a field experimental study was conducted in an alpine meadow slope in the Binggou watershed on the northern edge of the Tibetan Plateau to assess the impact of multiple factors on spring meltwater erosion. The multiple factors included three flow rates, four slope gradients, and three underlying surface conditions (meadow, disturbed meadow, and alluvial soil). An equal volume of concentrated meltwater flow was used in all experiments. The results showed that rapid melting at a high flow rate could accelerate soil erosion. The influence of the slope gradient on the amount of runoff was positively linear and the influence was relatively low. However, the slope gradient had a strong impact on soil erosion. The meadow could effectively reduce soil erosion, although when the meadow was disturbed, the total runoff increased by 60% and the sediment yield by a factor of 1.5. The total runoff from the alluvial soil doubled in comparison to the meadow, while the sediment yield increased nearly 7-fold. The findings of this study could be helpful to understand the characteristics and impact of multiple controlling factors of spring meltwater erosion. It also aims to provide a scientific basis for an improved management of alpine meadows as well as water and soil conservation activities in high-altitude cold regions.</p><p> </p>

scholarly journals Predicting Rainfall and Runoff Through Satellite Soil Moisture Data and SWAT Modelling for a Poorly Gauged Basin in Iran

Water ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 594 ◽  
Author(s):  
Majid Fereidoon ◽  
Manfred Koch ◽  
Luca Brocca
Keyword(s):  
Soil Moisture ◽  
Hydrological Model ◽  
Assessment Tool ◽  
Swat Model ◽  
Rainfall Data ◽  
Coefficient Of Determination ◽  
Hydrological Models ◽  
Streamflow Prediction ◽  
Soil Moisture Data ◽  
Monthly Runoff

Hydrological models are widely used for many purposes in water sector projects, including streamflow prediction and flood risk assessment. Among the input data used in such hydrological models, the spatial-temporal variability of rainfall datasets has a significant role on the final discharge estimation. Therefore, accurate measurements of rainfall are vital. On the other hand, ground-based measurement networks, mainly in developing countries, are either nonexistent or too sparse to capture rainfall accurately. In addition to in-situ rainfall datasets, satellite-derived rainfall products are currently available globally with high spatial and temporal resolution. An innovative approach called SM2RAIN that estimates rainfall from soil moisture data has been applied successfully to various regions. In this study, first, soil moisture content derived from the Advanced Microwave Scanning Radiometer for the Earth observing system (AMSR-E) is used as input into the SM2RAIN algorithm to estimate daily rainfall (SM2R-AMSRE) at different sites in the Karkheh river basin (KRB), southwest Iran. Second, the SWAT (Soil and Water Assessment Tool) hydrological model was applied to simulate runoff using both ground-based observed rainfall and SM2R-AMSRE rainfall as input. The results reveal that the SM2R-AMSRE rainfall data are, in most cases, in good agreement with ground-based rainfall, with correlations R ranging between 0.58 and 0.88, though there is some underestimation of the observed rainfall due to soil moisture saturation not accounted for in the SM2RAIN equation. The subsequent SWAT-simulated monthly runoff from SM2R-AMSRE rainfall data (SWAT-SM2R-AMSRE) reproduces the observations at the six gauging stations (with coefficient of determination, R² > 0.71 and NSE > 0.56), though with slightly worse performances in terms of bias (Bias) and root-mean-square error (RMSE) and, again, some systematic flow underestimation compared to the SWAT model with ground-based rainfall input. Additionally, rainfall estimates of two satellite products of the Tropical Rainfall Measuring Mission (TRMM), 3B42 and 3B42RT, are used in the calibrated SWAT- model after bias correction. The monthly runoff predictions obtained with 3B42- rainfall have 0.42 < R2 < 0.72 and−0.06 < NSE < 0.74 which are slightly better than those obtained with 3B42RT- rainfall, but not as good as the SWAT-SM2R-AMSRE. Therefore, despite the aforementioned limitations, using SM2R-AMSRE rainfall data in a hydrological model like SWAT appears to be a viable approach in basins with limited ground-based rainfall data.

Impact of landscape pattern change on runoff processes in catchment area of the Ulungur River Basin

2020 ◽  
Vol 20 (3) ◽  
pp. 1046-1058
Author(s):  
Fan Gao ◽  
Bing He ◽  
Songsong Xue ◽  
Yizhen Li
Keyword(s):  
Land Use ◽  
River Basin ◽  
Landscape Pattern ◽  
Water Conservation ◽  
Catchment Area ◽  
Positive Impact ◽  
Swat Model ◽  
Land Use Types ◽  
Monthly Runoff ◽  
Better Than

Abstract Based on the Soil and Water Assessment Tool (SWAT) model, the monthly runoff processes of two land-use types in 2000 and 2015 were simulated in this paper. The relationship between runoff and landscape pattern was analyzed, and the spatial correlation between runoff and landscape pattern analyzed using the geographic weighted regression model combined with the change of landscape pattern in the study area from 2000 to 2015. The results show the following. (1) The SWAT model can simulate the monthly runoff processes in the catchment area of the Ulungur River Basin (URB) under different land-use types for 2000 and 2015, but the simulation effect in 2000 was found to be better than that in 2015. (2) From 2000 to 2015, the area of woodland and grassland decreased. Runoff was positively correlated with woodland, grassland, largest patch index, mean patch area (AREA_MN), and contagion index, and negatively correlated with others. This indicates that the landscape fragmentation of URB was aggravated in 2000–2015, the landscape balance was destroyed, and the ability of rainfall interception and water conservation was weakened. (3) Landscape pattern indicators of grassland had a negative spatial impact on URB runoff, and the northern region of URB was more severely affected in 2015 than in 2000. AREA_MN landscape pattern index had a positive impact on runoff in the northern part of URB, and the positive impact in northern URB in 2000 was better than that in 2015.

Development of Risk-Based Inspection Methodology in River Crossings

2017 ◽  
Author(s):  
Eduardo Lopes de Paula ◽  
Markus Moratti ◽  
Eduardo Henrique da Silva Rodrigues ◽  
Elivelton Pinheiro Scherrer
Keyword(s):  
Oil And Gas ◽  
Management Program ◽  
Third Party ◽  
Evaluation Methodology ◽  
Control Actions ◽  
Hydrological Hazards ◽  
Static And Dynamic Loads ◽  
Set Up ◽  
Definition Of ◽  
Survey Evaluation

The transportation system for hydrocarbons consists of an important and complex network of pipelines used by oil and gas logistics companies, designed to quickly and efficiently transport oil and gas from its origin, to areas of some demand along territory where operates. Currently Brazil has 15,000 km of transportation pipelines within about 7,500 km of right-of-way pipelines. Along its territorial extension it faces several influences along its route, being the main ones influenced by the external hazards from nature and by third party actions. TRANSPETRO has about 450 water crossings in cataloged water bodies currently. These crossings are currently characterized only according to their geometric characteristics, not considering several aspects inherent to them. The inspections at these crossings are laborious and have a high cost due to necessity of divers and bathymetry in some cases. To monitor the condition of all pipeline water crossings it is important to ensure the pipeline integrity. Depending on hydraulic phenomena, it is possible result in an exposure of the pipelines, free spans, changes in the original pipeline or excessive vibration. These changes can generate high mechanical stresses with both static and dynamic loads. The present study was characterized by the development of a methodology for assessing the susceptibility to the exposure of pipelines as a result of the hydrological hazards present at the crossings in which they are found. Moreover, this evaluation methodology offers a tool to define inspection extent and frequency, as well as the corresponding risk control actions. For this purpose, a pipeline management program has been set up, which consists in the definition of water crossings that constitute a potential hydrological hazard and where they can interact with the pipeline considering the probability of a specific hydrotechnical hazard leading the pipeline the exposure. As a result of this research it was defined a methodology to characterize pipeline crossing areas as well as field survey, evaluation of the susceptibility of pipeline exposure at crossings and the programming of control actions were defined according to the susceptibility found. Finally, the study has also presented a cost analysis of crossings inspections comparing the traditional method to the new premises adopted in this project.

scholarly journals Assessing the long-term hydrologic response to wildfires in mountainous regions

2017 ◽  
Author(s):  
Aaron Havel ◽  
Ali Tasdighi ◽  
Mazdak Arabi
Keyword(s):  
Assessment Tool ◽  
Spatial Scales ◽  
Swat Model ◽  
Hydrologic Response ◽  
Mountainous Regions ◽  
Total Runoff ◽  
Streamflow Statistics ◽  
Flow Duration Curves ◽  
Hydrologic Responses

Abstract. This study aims to understand the long-term hydrologic responses to wildfires in mountainous regions at various spatial scales. The Soil and Water Assessment Tool (SWAT) was used to evaluate hydrologic response of the upper Cache la Poudre watershed in Colorado to the 2012 High Park and Hewlett wildfire events. A baseline SWAT model was established to simulate the hydrology of the study area between the years 2000 and 2014. The effects of wildfires on land cover were accounted for in the model using the SWAT land use update module. The wildfire effects on curve numbers were determined comparing the probability distribution of curve numbers after calibrating the model for pre and post wildfire conditions. Daily calibration and testing of the model produced very good results. No-wildfire and wildfire scenarios were created and compared to quantify changes in average annual total runoff volume, water budgets, and full streamflow statistics at different spatial scales. At the watershed scale, wildfire conditions showed little impact on the hydrologic responses. However, a runoff increase up to 75 percent was observed between the scenarios in sub-watersheds with high burn intensity. Generally, higher surface runoff and decreased subsurface flow were observed under post-wildfire conditions. Flow-duration curves developed for burned sub-basins using full streamflow statistics showed that less frequent streamflows become greater in magnitude. A strong (R2 > 0.8) and significant (p 

scholarly journals Application of the SWAT model in the Pinios river basin under different land-use scenarios

2013 ◽  
Vol 5 (2) ◽  
pp. 71-79 ◽  
Keyword(s):  
Land Use ◽  
Urban Areas ◽  
Agricultural Land ◽  
Swat Model ◽  
Land Use Changes ◽  
Time Step ◽  
Pinios River ◽  
Monthly Runoff ◽  
The One ◽  
Main Components

This paper investigates the hydrological effects of specific land use changes in a catchment of the river Pinios in Thessaly (Ali Efenti catchment), through the application of the Soil and Water Assessment Tool (SWAT) on a monthly time step. The model's calibration efficiency is verified by comparing the simulated and observed discharge time series at the outlet of the watershed, where long series of hydrometrical data exist. The model is used to simulate the main components of the hydrologic cycle, in order to study the effects of land use changes. Three land use change scenarios are examined, namely (A) expansion of agricultural land, (B) complete deforestation of the Trikala sub-basin and (C) expansion of urban areas in the Trikala sub-basin. All three scenarios resulted in an increase in discharge during wet months and a decrease during dry periods. The deforestation scenario was the one that resulted in the greatest modification of total monthly runoff.

scholarly journals Representation of seasonal land-use dynamics in SWAT+ for improved assessment of blue and green water consumption

2021 ◽  
Author(s):  
Anna Msigwa ◽  
Celray James Chawanda ◽  
Hans Charles Komakech ◽  
Albert Nkwasa ◽  
Ann van Griensven
Keyword(s):  
Land Use ◽  
Water Consumption ◽  
Agricultural Land ◽  
Mean Squared Error ◽  
Swat Model ◽  
Green Water ◽  
Small Catchment ◽  
Growing Seasons ◽  
Land Use Dynamics ◽  
Set Up

Abstract. In most (sub)-tropical African cultivated regions, more than one cropping cycle exists following the (one or two) rainy seasons. During the dry season, an additional cropping cycle is possible when irrigation is applied, which could result in 3 cropping seasons. In most agro-hydrological model applications such as SWAT+ in Africa, only one cropping season per year is represented. In this paper, we derived dynamic and static trajectories from seasonal land-use maps to represent the land- use dynamics following the major growing seasons, for the purpose of improving simulated blue and green water consumption from simulated evapotranspiration (ET) in SWAT+. This study builds upon earlier research that proposed an approach on how to incorporate seasonal land use dynamics in the SWAT+ model but mainly focused on the temporal pattern of LAI and tested the approach in a small catchment (240 km2). Together with information obtained from the cropping calendar, we implemented agricultural management operations for the dominant trajectory of each agricultural land-use class for the Kikuletwa basin (6650 km2 area coverage) in Tanzania. A comparison between the default SWAT+ (with static land use representation) set up, and a dynamic SWAT+ model (with seasonal land use representation) is done by spatial mapping of the evapotranspiration (ET) results. The results show that ET with seasonal representation is closer to remote sensing estimations, giving higher performance than default: the Root Mean Squared Error decreased from 181 to 69 mm/year; the percent bias decreased from 20 % to 13 % and Nash Sutcliffe Efficiency increased from −0.46 to 0.4. It is concluded that representation of seasonal land-use dynamics produces better ET results which provide better estimations of blue and green agricultural water consumption.

scholarly journals Simulation Of Surface runoff For Upper Tapi Subcatchment Area (Burhanpur Watershed) Using SWAT

2014 ◽  
Vol XL-8 ◽  
pp. 391-397 ◽  
Author(s):  
V. Shivhare ◽  
M. K. Goel ◽  
C. K. Singh
Keyword(s):  
Surface Runoff ◽  
Swat Model ◽  
Coefficient Of Determination ◽  
Temperature And Precipitation ◽  
Digital Elevation ◽  
Arc Gis ◽  
Monthly Runoff ◽  
Hydrologic Unit ◽  
Water Surplus ◽  
Elevation Model

Water related activity that takes place in one part of a river basin may have consequence in the other part. Any plan related to inter basin transfer of water from a water surplus basin to a deficit basin has to take into account the water availability and demands under the present and future scenarios of water use. Watershed is a hydrologic unit where all stream exit from the common outlet. In the present study, Tapi subcatchment area (Burhanpur watershed) located in inter-state basin of Madhya Pradesh and Maharashtra, India, is selected for the estimation of surface runoff using SWAT model. The SWAT works in conjunction with Arc GIS 9.3. Various parameters Digital Elevation Model (DEM), slope derived from DEM, Landuse/Landcover (LULC) and NBSSLUP soil data and temporal data for temperature and precipitation was used as input for the model to predict runoff at the catchment outlet. The model was run from the year 1992 to 1997. The performance of the model in terms of simulated runoff was evaluated using statistical method and compared simulated monthly flow with the observed monthly flow values from 1992 to 1996 to a significant extent. The coefficient of determination (R<sup>2</sup>) for the monthly runoff values for 1992 to 1996 was observed to be 0.82, 0.68, 0.92, 0.69.

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