The water demand module determines the water demand in the following sectors: agriculture, manufacturing, electricity, domestic and ecosystem. Different scenarios for different water demand and environmental flow protection are possible. The module receives information from the 17_production, [30_crop], 09_drivers and 43_water_availability modules. It passes information to the module 43_water_availability and 11_costs.
| Description | Unit | A | B | |
|---|---|---|---|---|
| im_development_state (t_all, i) |
Development state according to the World Bank definition where 0=low income country 1=high income country in high income level | \(1\) | x | x |
| im_gdp_pc_mer (t_all, i) |
Per capita income in market exchange rates | \(USD_{05MER}/cap/yr\) | x | x |
| im_pop_iso (t_all, iso) |
Population | \(10^6/yr\) | x | x |
| im_wat_avail (t, wat_src, j) |
Water availability | \(10^6 m^3/yr\) | x | x |
| sm_fix_cc | year until which all parameters affected by cc are fixed to historical values | \(year\) | x | x |
| sm_fix_SSP2 | year until which all parameters are fixed to SSP2 values | \(year\) | x | x |
| vm_area (j, kcr, w) |
Agricultural production area | \(10^6 ha\) | x | x |
| vm_prod (j, k) |
Production in each cell | \(10^6 tDM/yr\) | x | x |
| Description | Unit | |
|---|---|---|
| vm_watdem (wat_dem, j) |
Water demand from different sectors | \(10^6 m^3/yr\) |
| vm_water_cost (i) |
Cost of irrigation water | \(USD_{05MER}/m^3\) |
This realization models agricultural sector water demand endogenously, while other sectors are kept exogenous; Various settings for environmental water demand described below.
Agricultural water demand:
Water demand for agriculture is endogenously calculated based on
irrigated cropland vm_area(j,kcr,"irrigated") and livestock
production vm_prod(j2,kli).
Irrigation water demand per area for each crop category and cluster
is provided by the LPJmL model. This parameter refers to the water that
has to be applied to the field, i.e. it includes losses due to
evaporation on the field, but does not include losses during the water
transport from source to field. Livestock water demand
ic42_wat_req_k(j,kli) is derived from FAO data.
Irrigation efficiency:
Switches for different scenarios for irrigation efficiency can be chosen:
A global static value of irrigation efficiency that is defined as
the global weighted average of water losses from source to field
(“conveyance efficiency times management factor”) from Rohwer, Gerten, and
Lucht (2007). Here, irrigated area from Siebert et al. (2007) has
been used as aggregation weight. Contraction of AEI happens if a
depreciation rate is set in the switch
s41_AEI_depreciation.
A regression of country values of the “conveyance efficiency times management factor” from Rohwer, Gerten, and Lucht (2007) on GDP.
Non agricultural human water demand:
Water demand from all other sectors is treated exogenously. The
scalar s42_reserved_fraction determines how much water is
reserved for non agricultural purposes. Technically, it is assigned to
industrial use, while demand for other non-agricultural sectors is set
to 0. The default value is 0.5.
Environmental water demand
Environmental water requirements can be specified separately using
the switch s42_env_flow_scenario. The following settings
are available:
s42_env_flow_fraction is reserved for environmental
purposes and consequently not available for agricultural activities (in
addition to s42_reserved_fraction).s42_protected_fraction. In the case of the
absence of an environmental flow protection (EFP) policy, a base
protection can be specified: s42_env_flow_base_fraction.
Its default value is 5 % of available water.Whether a potential EFP policy takes effect is determined by the
parameter f42_env_flow_policy. The speed of transitioning
to full environmental flow protection is determined by specifying the
start (s42_efp_startyear) and target
(s42_efp_targetyear) year.
\[\begin{multline*} vm\_watdem("agriculture",j2) \cdot v42\_irrig\_eff(j2) = \sum_{kcr}\left( vm\_area(j2,kcr,"irrigated") \cdot ic42\_wat\_req\_k(j2,kcr)\right) + \sum_{kli}\left( vm\_prod(j2,kli) \cdot ic42\_wat\_req\_k(j2,kli) \cdot v42\_irrig\_eff(j2)\right) \end{multline*}\]
\[\begin{multline*} vm\_water\_cost(i2) = \sum_{cell(i2,j2)} vm\_watdem("agriculture",j2) \cdot ic42\_pumping\_cost(i2) \end{multline*}\]
vm_watdem is composed by irrigation and livestock demand
uses. The factor v42_irrig_eff corresponds to the amount of
water that is used inefficiently in the irrigation process.
Limitations The module uses the “conveyance efficiency times management factor” for irrigation efficiency. Therefore, the management factor is accounted twice, since it is already considered in LPJmL water quantity used for irrigation (
airrig: annual irrigation). Furthermore, the module realization does not consider annual water balances but only water balances during the growing period of crops. This period differs between cells.
This realization models agricultural sector water withdrawals endogenously, as described in the first realization. Manufacturing, electricity and domestic demand are explicitly accounted for in various scenarios; Various settings (same as in previous realization) for environmental water demand described below.
Agricultural water demand:
Water demand for agriculture is endogenously calculated based on
irrigated cropland vm_area(j,kcr,"irrigated") and livestock
production vm_prod(j,kli).
Non agricultural human water withdrawals:
For manufacturing, electricity and domestic withdrawals, three scenarios of the WATERGAP model provided by Wada, Flörke, and Hanasaki (2016) are used:
Due to the fact that MAgPIE only considers available blue water
during the growing period of the plants (43_water_availability), the
fraction of this demand in the growing period is determined in the
preprocessing assuming constant demand over the whole year. The matching
of the WATERGAP scenarios to the MAgPIE scenarios can be found in the
file scenario_config.csv in the config folder of model.
Environmental water demand:
Environmental water requirements can be specified separately using
the switch s42_env_flow_scenario. The following settings
are available:
s42_env_flow_fraction is reserved for environmental
purposes and consequently not available for agricultural activities (in
addition to s42_reserved_fraction).s42_protected_fraction. In the case of the
absence of an environmental flow protection policy, a base protection
can be specified: s42_env_flow_base_fraction. It defaults
to 5 % of available water.The speed of transitioning to full environmental flow protection is
determined by specifying the start (s42_efp_startyear) and
target (s42_efp_targetyear) year.
\[\begin{multline*} vm\_watdem("agriculture",j2) \cdot v42\_irrig\_eff(j2) = \sum_{kcr}\left( vm\_area(j2,kcr,"irrigated") \cdot ic42\_wat\_req\_k(j2,kcr)\right) + \sum_{kli}\left( vm\_prod(j2,kli) \cdot ic42\_wat\_req\_k(j2,kli) \cdot v42\_irrig\_eff(j2)\right) \end{multline*}\]
\[\begin{multline*} vm\_water\_cost(i2) = \sum_{cell(i2,j2)} vm\_watdem("agriculture",j2) \cdot ic42\_pumping\_cost(i2) \end{multline*}\]
Agricultural water demand is composed by livestock water demand and
demand for irrigation water withdrawals. The factor
v42_irrig_eff accounts for irrigation efficiency.
Limitations The module uses the “conveyance efficiency times management factor” for irrigation efficiency. Therefore, the management factor is accounted twice, since it is already considered in LPJmL water quantity used for irrigation (
airrig: annual irrigation). Furthermore, the module realization does not consider annual water balances but only water balances during the growing period of crops. This period differs between cells.
| Description | Unit | A | B | |
|---|---|---|---|---|
| f42_env_flows (t_all, j) |
Environmental flow requirements from LPJ and Smakhtin algorithm | \(10^6 m^3\) | x | x |
| f42_pumping_cost (t_all, i) |
Cost of pumping irrigation water | \(USD_{05MER}/m^3\) | x | x |
| f42_wat_req_kli (kli) |
Average water requirements of livestock commodities per region per tDM per year | \(m^3\) | x | x |
| f42_wat_req_kve (t_all, j, kve) |
LPJmL annual water demand for irrigation per ha | \(m^3/yr\) | x | x |
| f42_watdem_ineldo (t_all, j, scen_watdem_nonagr, watdem_ineldo, wtype) |
Manufacturing electricity and domestic water demand under different socioeconomic scenarios in the growing period | \(10^6 m^3\) | x | |
| f42_watdem_ineldo_total (t_all, j, scen_watdem_nonagr, watdem_ineldo, wtype) |
Manufacturing electricity and domestic water demand under different socioeconomic scenarios in the entire year | \(10^6 m^3\) | x | |
| i42_env_flow_policy (t, i) |
Determines whether environmental flow protection is enforced | \(1\) | x | x |
| i42_env_flows (t, j) |
Environmental flow requirements if a protection policy is in place | \(10^6 m^3\) | x | x |
| i42_env_flows_base (t, j) |
Environmental flow requirements if no protection policy is in place | \(10^6 m^3\) | x | x |
| i42_wat_req_k (t, j, k) |
LPJmL annual water demand for irrigation per ha per year (m^3) + Livestock demand per ton | \(m^3\) | x | x |
| i42_watdem_total (t, j, watdem_ineldo, wtype) |
Non-agricultural water demand for entire year used in post-processing | \(10^6 m^3/yr\) | x | x |
| ic42_env_flow_policy (i) |
Determines whether environmental flow protection is enforced in the current time step | \(1\) | x | x |
| ic42_pumping_cost (i) |
Parameter to capture values for pumping costs in a particular time step | \(USD_{05MER}/m^3\) | x | x |
| ic42_wat_req_k (j, k) |
LPJmL annual water demand for irrigation per ha per year (m^3) + Livestock demand per ton | \(m^3\) | x | x |
| p42_country_dummy (iso) |
Dummy parameter indicating whether country is affected by EFP | \(1\) | x | x |
| p42_efp (t_all, scen42) |
Determines whether environmental flow protection is enforced and its fading in of environmental flow policy | \(1\) | x | x |
| p42_efp_fader (t_all) |
Determines the fading in of environmental flow policy | \(1\) | x | x |
| p42_EFP_region_shr (t_all, i) |
Weighted share of region with regards to EFP | \(1\) | x | x |
| q42_water_cost (i) |
Total cost of pumping irrigation water | \(USD_{05MER}/yr\) | x | x |
| q42_water_demand (wat_dem, j) |
Water withdrawals of different sectors | \(10^6 m^3/yr\) | x | x |
| s42_efp_startyear | Environmental flow policy start year | x | x | |
| s42_efp_targetyear | Environmental flow policy target year | x | x | |
| s42_env_flow_base_fraction | Fraction of available water that is reserved for the environment where no EFP policy is implemented | \(1\) | x | x |
| s42_env_flow_fraction | Fraction of available water that is reserved for under protection policies | \(1\) | x | x |
| s42_env_flow_scenario | EFP scenario. | \(1\) | x | x |
| s42_irrig_eff_scenario | Scenario for irrigation efficiency | \(1\) | x | x |
| s42_irrigation_efficiency | Value of irrigation efficiency | \(1\) | x | x |
| s42_multiplier | multiplier to change pumping costs for sensitivity analysis takes numeric values | \(1\) | x | x |
| s42_multiplier_startyear | Year from which pumping costs multiplier will be implemented | \(1\) | x | x |
| s42_pumping | Switch to activate pumping cost settings | \(1\) | x | x |
| s42_reserved_fraction | Fraction of available water that is reserved for manufacturing electricity and domestic use | \(1\) | x | |
| s42_watdem_nonagr_scenario | Scenario for non agricultural water demand from WATERGAP | \(1\) | x | |
| v42_irrig_eff (j) |
Irrigation efficiency | \(1\) | x | x |
| description | |
|---|---|
| cell(i, j) | number of LPJ cells per region i |
| dev | Economic development status |
| EFP_countries(iso) | countries to be affected by EFP |
| i | all economic regions |
| i_to_iso(i, iso) | mapping regions to iso countries |
| i2(i) | World regions (dynamic set) |
| iso | list of iso countries |
| j | number of LPJ cells |
| j2(j) | Spatial Clusters (dynamic set) |
| k(kall) | Primary products |
| kcr(kve) | Cropping activities |
| kli(kap) | Livestock products |
| kve(k) | Land-use activities |
| scen_watdem_nonagr | Scenarios for non agricultural water demand |
| scen42 | Environmental Flow Policy (EFP) |
| scen42_to_dev(scen42, dev) | Mapping between EFP and economic development status |
| t_all(t_ext) | 5-year time periods |
| t(t_all) | Simulated time periods |
| type | GAMS variable attribute used for the output |
| w | Water supply type |
| wat_dem | Water demand sectors |
| wat_src | Type of water source |
| watdem_exo(wat_dem) | Exogenous water demands |
| watdem_ineldo(wat_dem) | Exogenous water demand subset covering humanly induced demands |
| wtype | Water abstraction type |
Anne Biewald, Markus Bonsch
09_drivers, 11_costs, 17_production, 30_croparea, 42_water_demand, 43_water_availability