Integrated management of water resources demand and supply in irrigated  agriculture from plot to regional scale

Schütze, Niels; Wagner, Michael

doi:10.5194/piahs-373-51-2016

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…Crop water production function (CWPF) is the highest possible crop yield achievable under a given water application (Schütze & Schmitz, 2010). Stochastic crop water production function (SCWPF), generated from stochastic weather behavior, aids in decision-making on a local scale by having a thorough understanding of modeling and implementation of IWD management (Schütze & Wagner, 2016). SCWPF only generated information for the deficit IWD strategies, giving perfect information on IWD and corresponding yields.…”

Section: Crop Water Production Function (Cwpf)mentioning

confidence: 99%

Modeling deficit irrigation water demand of maize and potato in Eastern Germany using ERA5-Land reanalysis climate time series

Ogunsola,

Bankole,

Soboyejo

et al. 2024

Irrig Sci

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ERA5-Land reanalysis (ELR) climate time series has proven useful in (hydro)meteorological studies, however, its adoption for local studies is limited due to accuracies constraints. Meanwhile, local agricultural use of ELR could help data-scarce countries by addressing gaps in (hydro)meteorological variables. This study aimed to evaluate the first applicability of the ELR climate time series for modeling maize and potato irrigation water demand (IWD) at field scale and examined the performance of ELR precipitation with bias correction (DBC) and without bias correction (WBC). Yield, actual evapotranspiration (ETa), irrigation, water balance, and crop water productivity (CWP) were evaluated using the deficit irrigation toolbox. The study found that maize (13.98-14.49 ton/ha) and potato (6.84-8.20 tons/ha) had similar mean seasonal yield under different irrigation management strategies (IMS). The Global Evolutionary Technique for OPTimal Irrigation Scheduling (GET-OPTIS_WS) IMS had the highest mean seasonal yields under DBC and WBC, while rainfall and constant IMS had the most crop failures. DBC had a higher mean seasonal ETa than WBC, except for the potato FIT and rainfall IMS. Global Evolutionary Technique for OPTimal Irrigation Scheduling: one common schedule per crop season (GET-OPTIS_OS) and GET-OPTIS_WS IMS outperformed conventional IMS in IWD by 44%. Overall, GET-OPTIS_OS and GET-OPTIS_WS performed best for maize and potato CWP in terms of IWD, scheduling, and timing. Therefore, adoption of ELR climate time series and advanced irrigation optimization strategies such as GET-OPTIS_OS and GET-OPTIS_WS can be beneficial for effective and efficient management of limited water resources, where agricultural water allocation/resource is limited.

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Section: Crop Water Production Function (Cwpf)mentioning

confidence: 99%

Modeling deficit irrigation water demand of maize and potato in Eastern Germany using ERA5-Land reanalysis climate time series

Ogunsola,

Bankole,

Soboyejo

et al. 2024

Irrig Sci

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Modeling Deficit Irrigation Water Demand of Maize and Potato in Eastern Germany using ERA5-Land Reanalysis Climate Time Series

Ogunsola,

Bankole,

Soboyejo

et al. 2024

Preprint

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ERA5-Land reanalysis (ELR) climate time series has proven useful in (hydro)meteorological studies, however, its adoption for local studies is limited due to accuracies constraints. Meanwhile, local agricultural use of ELR could help data-scarce countries by addressing gaps in (hydro)meteorological variables. This study aimed to evaluate the first applicability of the ELR climate time series for modeling maize and potato irrigation water demand (IWD) at field scale and examined the performance of ELR precipitation with bias correction (DBC) and without bias correction (WBC). Yield, actual evapotranspiration (ETa), irrigation, water balance, and crop water productivity (CWP) were evaluated using the deficit irrigation toolbox. The study found that maize (13.98–14.49 ton/ha) and potato (6.84–8.20 tons/ha) had similar mean seasonal yield under different irrigation management strategies (IMS). The Global Evolutionary Technique for OPTimal Irrigation Scheduling (GET-OPTIS_WS) IMS had the highest mean seasonal yields under DBC and WBC, while rainfall and constant IMS had the most crop failures. DBC had a higher mean seasonal ETa than WBC, except for the potato FIT and rainfall IMS. Global Evolutionary Technique for OPTimal Irrigation Scheduling: one common schedule per crop season (GET-OPTIS_OS) and GET-OPTIS_WS IMS outperformed conventional IMS in IWD by 44%. Overall, GET-OPTIS_OS and GET-OPTIS_WS performed best for maize and potato CWP in terms of IWD, scheduling, and timing. Therefore, adoption of ELR climate time series and advanced irrigation optimization strategies such as GET-OPTIS_OS and GET-OPTIS_WS can be beneficial for effective and efficient management of limited water resources, where agricultural water allocation/resource is limited.

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Investigation and evaluation of agricultural water use in a least developed country – a case study in Koshi River basin, Nepal

et al. 2019

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Water availability plays a key role in securing agricultural production and sustaining the income of farming households. Nepal is one of the countries most dependent on agriculture; more than 80% of the population works in agriculture, contributing to 35% of its total gross domestic product (GDP). As one of the longest rivers in Nepal, Koshi River is one of the main water supplies for agricultural activities. In recent years, due to the population growth and the climate change, there has been increasing stress on the water resources in Koshi River basin. Therefore, a comprehensive investigation of water availability in the basin area is required, prior to an effective strategy for water resources allocation and management. In this study, we provide a quantitative assessment of available water resources in Koshi River basin and highlight the trend of water availability for agricultural use. Moreover, we discuss the potential water-related risks for farming households in the basin area. The contribution of this study is to provide the basis for efficient water management strategies in Koshi River basin.

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Integrated management of water resources demand and supply in irrigated agriculture from plot to regional scale

Cited by 3 publications

References 6 publications

Modeling deficit irrigation water demand of maize and potato in Eastern Germany using ERA5-Land reanalysis climate time series

Modeling deficit irrigation water demand of maize and potato in Eastern Germany using ERA5-Land reanalysis climate time series

Modeling Deficit Irrigation Water Demand of Maize and Potato in Eastern Germany using ERA5-Land Reanalysis Climate Time Series

Investigation and evaluation of agricultural water use in a least developed country – a case study in Koshi River basin, Nepal

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