An enhanced version of the D-Risk decision support webtool for multi-scale management of water abstraction and drought risks in irrigated agriculture

Rishma Chengot; Jerry W. Knox; Gemma Coxon; George Cojocaru; Ian P. Holman

doi:10.1016/j.compag.2022.107516

An enhanced version of the D-Risk decision support webtool for multi-scale management of water abstraction and drought risks in irrigated agriculture

Rishma Chengot, Jerry W. Knox, Gemma Coxon, George Cojocaru, Ian P. Holman^*

^*Corresponding author for this work

Research output: Contribution to journal › Article (Academic Journal) › peer-review

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Abstract

Due to it having the lowest priority for water allocation during drought events and the consequent agronomic and economic impacts of abstraction restrictions, UK irrigated agriculture has been identified as a key business sector ‘at risk’. An enhanced version of the D-Risk webtool has been developed to help agricultural stakeholders and catchment water managers to evaluate the joint multi-scale risks of abstraction restrictions (voluntary and mandatory) and having insufficient irrigation volumes during drought events. The webtool uses annual maximum potential soil moisture deficit as the agroclimate index to calculate monthly and annual volumetric irrigation demand for the selected crop mix, soil available water capacity and location. Simulated river flows are used to identify days not under abstraction restrictions. Annual probability distributions of irrigation deficit and licence utilisation (headroom) are derived from a monthly time-step water balance model that calculates whether the farm irrigation demand in each month can be met, taking account of river flow-based abstraction restrictions, daily and annual volumetric licensed abstraction limits, the licenced abstraction period(s) and any on-farm reservoir storage. The enhanced D-Risk tool provides a more holistic understanding of drought risk on irrigated agriculture from individual farm to catchment scales and supports improved collaborative decision-making regarding future water sharing, water trading and on-farm reservoir investment to reduce business vulnerability to drought and regulatory change.

Original language	English
Article number	107516
Journal	Computers and Electronics in Agriculture
Volume	204
DOIs	https://doi.org/10.1016/j.compag.2022.107516
Publication status	Published - Jan 2023

Bibliographical note

Funding Information:
The authors acknowledge the support and advice from Andrew Blenkiron, Andrew Francis, Tim Jolly, Lyndsay Hargreaves Tim Darby, Paul Hammett, Melvyn Kay, Anne Ramsey, Nigel Simpson, Rory Callan, Kate Farmer, Tim Papworth and Bob Hillier. No new data were generated or analysed during this study. The D-Risk webtool is freely available at www.d-risk.eu. This work was supported by the UK Natural Environment Research Council (grant numbers NE/S013997/1; NE/N017471/1).

Funding Information:
This work was supported by the UK Natural Environment Research Council (grant numbers NE/S013997/1; NE/N017471/1).

Publisher Copyright:
© 2022 The Author(s)

Keywords

Climate change
Irrigation
Probabilistic
Reservoir
Water resources
Water scarcity

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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title = "An enhanced version of the D-Risk decision support webtool for multi-scale management of water abstraction and drought risks in irrigated agriculture",

abstract = "Due to it having the lowest priority for water allocation during drought events and the consequent agronomic and economic impacts of abstraction restrictions, UK irrigated agriculture has been identified as a key business sector {\textquoteleft}at risk{\textquoteright}. An enhanced version of the D-Risk webtool has been developed to help agricultural stakeholders and catchment water managers to evaluate the joint multi-scale risks of abstraction restrictions (voluntary and mandatory) and having insufficient irrigation volumes during drought events. The webtool uses annual maximum potential soil moisture deficit as the agroclimate index to calculate monthly and annual volumetric irrigation demand for the selected crop mix, soil available water capacity and location. Simulated river flows are used to identify days not under abstraction restrictions. Annual probability distributions of irrigation deficit and licence utilisation (headroom) are derived from a monthly time-step water balance model that calculates whether the farm irrigation demand in each month can be met, taking account of river flow-based abstraction restrictions, daily and annual volumetric licensed abstraction limits, the licenced abstraction period(s) and any on-farm reservoir storage. The enhanced D-Risk tool provides a more holistic understanding of drought risk on irrigated agriculture from individual farm to catchment scales and supports improved collaborative decision-making regarding future water sharing, water trading and on-farm reservoir investment to reduce business vulnerability to drought and regulatory change.",

keywords = "Climate change, Irrigation, Probabilistic, Reservoir, Water resources, Water scarcity",

author = "Rishma Chengot and Knox, {Jerry W.} and Gemma Coxon and George Cojocaru and Holman, {Ian P.}",

note = "Funding Information: The authors acknowledge the support and advice from Andrew Blenkiron, Andrew Francis, Tim Jolly, Lyndsay Hargreaves Tim Darby, Paul Hammett, Melvyn Kay, Anne Ramsey, Nigel Simpson, Rory Callan, Kate Farmer, Tim Papworth and Bob Hillier. No new data were generated or analysed during this study. The D-Risk webtool is freely available at www.d-risk.eu. This work was supported by the UK Natural Environment Research Council (grant numbers NE/S013997/1; NE/N017471/1). Funding Information: This work was supported by the UK Natural Environment Research Council (grant numbers NE/S013997/1; NE/N017471/1). Publisher Copyright: {\textcopyright} 2022 The Author(s)",

year = "2023",

month = jan,

doi = "10.1016/j.compag.2022.107516",

language = "English",

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AU - Knox, Jerry W.

AU - Coxon, Gemma

AU - Cojocaru, George

AU - Holman, Ian P.

N1 - Funding Information: The authors acknowledge the support and advice from Andrew Blenkiron, Andrew Francis, Tim Jolly, Lyndsay Hargreaves Tim Darby, Paul Hammett, Melvyn Kay, Anne Ramsey, Nigel Simpson, Rory Callan, Kate Farmer, Tim Papworth and Bob Hillier. No new data were generated or analysed during this study. The D-Risk webtool is freely available at www.d-risk.eu. This work was supported by the UK Natural Environment Research Council (grant numbers NE/S013997/1; NE/N017471/1). Funding Information: This work was supported by the UK Natural Environment Research Council (grant numbers NE/S013997/1; NE/N017471/1). Publisher Copyright: © 2022 The Author(s)

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N2 - Due to it having the lowest priority for water allocation during drought events and the consequent agronomic and economic impacts of abstraction restrictions, UK irrigated agriculture has been identified as a key business sector ‘at risk’. An enhanced version of the D-Risk webtool has been developed to help agricultural stakeholders and catchment water managers to evaluate the joint multi-scale risks of abstraction restrictions (voluntary and mandatory) and having insufficient irrigation volumes during drought events. The webtool uses annual maximum potential soil moisture deficit as the agroclimate index to calculate monthly and annual volumetric irrigation demand for the selected crop mix, soil available water capacity and location. Simulated river flows are used to identify days not under abstraction restrictions. Annual probability distributions of irrigation deficit and licence utilisation (headroom) are derived from a monthly time-step water balance model that calculates whether the farm irrigation demand in each month can be met, taking account of river flow-based abstraction restrictions, daily and annual volumetric licensed abstraction limits, the licenced abstraction period(s) and any on-farm reservoir storage. The enhanced D-Risk tool provides a more holistic understanding of drought risk on irrigated agriculture from individual farm to catchment scales and supports improved collaborative decision-making regarding future water sharing, water trading and on-farm reservoir investment to reduce business vulnerability to drought and regulatory change.

AB - Due to it having the lowest priority for water allocation during drought events and the consequent agronomic and economic impacts of abstraction restrictions, UK irrigated agriculture has been identified as a key business sector ‘at risk’. An enhanced version of the D-Risk webtool has been developed to help agricultural stakeholders and catchment water managers to evaluate the joint multi-scale risks of abstraction restrictions (voluntary and mandatory) and having insufficient irrigation volumes during drought events. The webtool uses annual maximum potential soil moisture deficit as the agroclimate index to calculate monthly and annual volumetric irrigation demand for the selected crop mix, soil available water capacity and location. Simulated river flows are used to identify days not under abstraction restrictions. Annual probability distributions of irrigation deficit and licence utilisation (headroom) are derived from a monthly time-step water balance model that calculates whether the farm irrigation demand in each month can be met, taking account of river flow-based abstraction restrictions, daily and annual volumetric licensed abstraction limits, the licenced abstraction period(s) and any on-farm reservoir storage. The enhanced D-Risk tool provides a more holistic understanding of drought risk on irrigated agriculture from individual farm to catchment scales and supports improved collaborative decision-making regarding future water sharing, water trading and on-farm reservoir investment to reduce business vulnerability to drought and regulatory change.

KW - Climate change

KW - Irrigation

KW - Probabilistic

KW - Reservoir

KW - Water resources

KW - Water scarcity

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DO - 10.1016/j.compag.2022.107516

M3 - Article (Academic Journal)

AN - SCOPUS:85142777286

SN - 0168-1699

VL - 204

JO - Computers and Electronics in Agriculture

JF - Computers and Electronics in Agriculture

M1 - 107516

ER -

An enhanced version of the D-Risk decision support webtool for multi-scale management of water abstraction and drought risks in irrigated agriculture

Abstract

Bibliographical note

Keywords

UN SDGs

Access to Document

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