Perspectives of Hydrologic Modeling in Agricultural Research

Curk, Miha; Glavan, Matjaž

doi:10.5772/intechopen.95179

Cited by 4 publications

(4 citation statements)

References 17 publications

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“…Regarding the simulations of environmental impact of different agricultural practices, the Soil and Water Assessment Tool (SWAT) is one of the most commonly used models for simulating impacts of agricultural management on hydrology and water quality in the literature [22]. It is a physical, spatially, semi-distributed hydrological model [23].…”

Section: Swat Model Input Datamentioning

confidence: 99%

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Assessing and Mapping the Environmental Impacts of Best Management Practices in Nitrate-Vulnerable Areas

Curk

Glavan

2023

Water

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This investigation explores the impact of various management practices on nitrate leaching and crop yield in two specific areas in Slovenia. The issue of nitrate leaching from agricultural land is a worldwide threat to drinking water, and despite years of research efforts, universal solutions are still unknown. The two chosen study sites are significant because of their importance for agricultural production and because groundwater aquifers beneath are main sources of drinking water, which makes imposing mitigation measures challenging. One of the areas was reported to be of “bad” status according to the Water Framework Directive criteria, while the other is at risk of reaching this status if nitrate concentrations in groundwater continue to rise. This research used the SWAT model to simulate nitrate leaching and crop yield changes under different agricultural scenarios on different soil types. It aimed to accomplish two objectives: first, to identify parts of the case study areas where the existing combination of soil conditions and agricultural practices enables a high potential for nitrate leaching; second, to identify agricultural practices that decrease nitrate leaching from various soil types while maintaining crop yields in each area. By identifying the most vulnerable locations and the most promising practices, we generated a chart of best management practices for specific soil types as a guide that extension services can use to advise farmers on potential management improvements. The main findings demonstrate that reducing fertilizer application, both organic and inorganic, in areas where the rates exceed crop requirements may not have a significant impact on crop production. However, these reductions often resulted in a noticeable decrease in nitrate exports. The results also showed that soil type is crucially important and should always be considered when evaluating the effects of agricultural management on crop yields and nitrate leaching.

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Section: Swat Model Input Datamentioning

confidence: 99%

“…Other than that, its strengths include very effective plant growth and agricultural management representations (based on EPIC model) and a large database of extant studies. This makes the model verification easier and more reliable, as well as the fact that the model is open-sourced and very well-documented [22,24].…”

Section: Swat Model Input Datamentioning

confidence: 99%

Assessing and Mapping the Environmental Impacts of Best Management Practices in Nitrate-Vulnerable Areas

Curk

Glavan

2023

Water

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“…Hydrologic models are the most popular environmental research topic in agronomy. The topics include simulating the effects of irrigation and other agricultural practices and studying the impact of extreme weather events and climate change [15], ensuring water security by the application of best management practices varying from focused sectoral measures of sustainable water use to emission regulations to protect water quality and all dependent ecosystems' chain [16]. STREAM is generally used to study and analyze the impact of land use and climate change on hydrological conditions in a watershed, specifically to estimate discharge under several climatic conditions and scenarios [17].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Climate Change Impacts on Agricultural Water Availability in Cimanuk Watershed, Indonesia

Heryani¹,

Kartiwa²,

Sosiawan³

et al. 2022

Sustainability

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Climate change has been affecting agricultural water resources dynamics spatially and temporally. This article presents analysis results of climate change impact on agricultural water availability in Cimanuk Watershed, Indonesia. STREAM was utilized to model agricultural water availability through FAO MOSAICC web application. Climate spatial data time-series were generated using 3 Global Climate Model (GCM), i.e.,: CanESM2, CNRM-CM5, and MPI-ESM-MR following two climate change scenarios of RCP4.5 and 8.5. Model inputs were split into three periods of 1981–2010 (historical), 2010–2039 (near-future), and 2040–2069 (far-future). Historical data model validation showed the efficiency coefficient of the observed and simulated discharge data ratio was 0.68. The results showed a decreasing volumetric water availability from all generated climate data and scenarios, identified by comparing the discharge normal distribution of the historical and future data periods. Whereas, trend analysis of RCP4.5 scenario showed increasing maximum discharge of Cimanuk river using CanESM2 and MPI-ESM-MR GCM’s data, with a Mann–Kendall coefficient of 3.23 and 3.57. These results indicate a different agricultural water balance status within the watershed area, particularly a “very critical” water balance in Indramayu and Majalengka, “critical” in Garut, and “close to critical” in Sumedang Regency.

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“…Water is one of the fundamental resources required for food production, and is frequently the resource that limits production, either because crop water demand exceeds water supply from rain and/or irrigation, or because agricultural activities that adversely affect water quality (e.g., effluent application) are tightly regulated (FAO, 2011;MfE, 2021). Understanding and optimizing the availability and use of water to grow crops requires accurate knowledge of water supply, use and loss that can be used to estimate water availability, particularly soil water content, at a suitable scale for management and policy decisions (Vereecken et al, 2007;Curk and Glavan, 2021). TopNet is one such tool (Bandaragoda et al, 2004;Clark et al, 2008) that has been developed by National Institute of Water and Atmospheric Research (NIWA, New Zealand) to link spatial rainfall and irrigation supply, with water use at catchment scale, to aquifer, stream, river and lake hydrology up to a national scale.…”

Section: Introductionmentioning

confidence: 99%

Upscaling point-scale soil hydraulic properties for application in a catchment model using Bayesian calibration: An application in two agricultural regions of New Zealand

Rajanayaka¹,

Woodward²,

Lilburne³

et al. 2022

Front. Water

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Hydrological modeling for landscape and catchment scale applications requires upscaling of soil hydraulic parameters which are generally only available at point scale. We present a case study where hourly root zone soil water content and drainage observations from nine flat, pastoral sites (Waikato and Canterbury regions in New Zealand) were used to develop an upscaling approach to parameterize the soil water balance module of the TopNet catchment model, based on scaling multi-layer soil profile information from the national soil data base, S-map, to the single-layer soil profile used in TopNet. Using a Bayesian calibration approach, the hydraulic behavioral parameters of TopNet's soil water balance module were identified. Of the eleven calibration parameters considered three were found to be insensitive to data (stress point, unsaturated hydraulic conductivity and infiltration rate); three were correlated and could be determined from specific soil water content observations (wilting point, field capacity and drainable water); and five were correlated and could be determined from combined specific soil water content and drainage observations (drainage rate, saturated hydraulic conductivity profile, effective soil depth, soil water holding capacity and wetting front suction). Based on the eight correlated parameters, upscaling functions were then developed to derive suitable model parameters from S-map-hydro for each site. The validity of the upscaling functions was verified at each site. The approach used in this research can be used to parameterize the TopNet model at other similar locations, and also provides a transferable framework to parameterize other catchment-scale hydrology models where point-scale soil hydraulic data available.

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Perspectives of Hydrologic Modeling in Agricultural Research

Cited by 4 publications

References 17 publications

Assessing and Mapping the Environmental Impacts of Best Management Practices in Nitrate-Vulnerable Areas

Assessing and Mapping the Environmental Impacts of Best Management Practices in Nitrate-Vulnerable Areas

Analysis of Climate Change Impacts on Agricultural Water Availability in Cimanuk Watershed, Indonesia

Upscaling point-scale soil hydraulic properties for application in a catchment model using Bayesian calibration: An application in two agricultural regions of New Zealand

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