Country-level summary of results of the Delphi survey with water resources professionals
Topic . | Ghana . | Jamaica . | UK . |
---|---|---|---|
Abilities | Strong abilities in modelling and weak in data/databases and decision making | Lowest ability in modelling | Strong abilities in databases and modelling, weak in data collection/decision making |
Data types | All data types rated high. Demand, effective rainfall and groundwater deemed least important | All data types rated high. Infiltration data rated high | All data types rated high. River level least important |
Data access | Highest for river flow, lowest for infiltration | Lowest for infiltration | Highest for reservoirs, lowest for infiltration |
Tools | High use of GIS and MCA | High use of GIS and Excel-based | GIS plus some proprietary (most variety) |
Trying new tools | Preference for decision making (R1) shifted to models (R2) | Preference for data collection, then models | Preference for data, then models (R1) shifted to models, then data (R2) |
Impact of data access | Affects future capacity assessment most, but all functions affected | Affects policy, future capacity and planning for uncertainty | Affects future capacity and planning for uncertainty |
Impact of model access | Affects planning for uncertainty, then policy. Poverty reduction least affected | Affects all functions – links between data and models required further consideration | Affects planning for uncertainty and food security |
Impact of decision making access | Affects policy and conflict resolution, then planning, food and poverty | Affects current and future capacity | Affects planning for uncertainty, least affects current capacity and public health |
Biggest threats | Climate change, infrastructure lack, population growth | Funding of basic and complex water resources functions | Lack of political will, then climate change and population growth |
Interventions – highest priority | Collaborative research | Review existing and develop new policy | Review existing and develop new policy; Collaborative research |
Topic . | Ghana . | Jamaica . | UK . |
---|---|---|---|
Abilities | Strong abilities in modelling and weak in data/databases and decision making | Lowest ability in modelling | Strong abilities in databases and modelling, weak in data collection/decision making |
Data types | All data types rated high. Demand, effective rainfall and groundwater deemed least important | All data types rated high. Infiltration data rated high | All data types rated high. River level least important |
Data access | Highest for river flow, lowest for infiltration | Lowest for infiltration | Highest for reservoirs, lowest for infiltration |
Tools | High use of GIS and MCA | High use of GIS and Excel-based | GIS plus some proprietary (most variety) |
Trying new tools | Preference for decision making (R1) shifted to models (R2) | Preference for data collection, then models | Preference for data, then models (R1) shifted to models, then data (R2) |
Impact of data access | Affects future capacity assessment most, but all functions affected | Affects policy, future capacity and planning for uncertainty | Affects future capacity and planning for uncertainty |
Impact of model access | Affects planning for uncertainty, then policy. Poverty reduction least affected | Affects all functions – links between data and models required further consideration | Affects planning for uncertainty and food security |
Impact of decision making access | Affects policy and conflict resolution, then planning, food and poverty | Affects current and future capacity | Affects planning for uncertainty, least affects current capacity and public health |
Biggest threats | Climate change, infrastructure lack, population growth | Funding of basic and complex water resources functions | Lack of political will, then climate change and population growth |
Interventions – highest priority | Collaborative research | Review existing and develop new policy | Review existing and develop new policy; Collaborative research |
GIS, geographical information systems; MCA, multi-criteria analysis; R1, round 1; R2, round 2.