Coverage for C:\src\imod-python\imod\mf6\rch.py: 100%

28 statements  

« prev     ^ index     » next       coverage.py v7.4.4, created at 2024-04-08 13:27 +0200

1from typing import Optional, Tuple 

2 

3import numpy as np 

4 

5from imod.logging import init_log_decorator 

6from imod.mf6.boundary_condition import BoundaryCondition 

7from imod.mf6.interfaces.iregridpackage import IRegridPackage 

8from imod.mf6.utilities.regrid import RegridderType 

9from imod.mf6.validation import BOUNDARY_DIMS_SCHEMA, CONC_DIMS_SCHEMA 

10from imod.schemata import ( 

11 AllInsideNoDataSchema, 

12 AllNoDataSchema, 

13 AllValueSchema, 

14 CoordsSchema, 

15 DimsSchema, 

16 DTypeSchema, 

17 IdentityNoDataSchema, 

18 IndexesSchema, 

19 OtherCoordsSchema, 

20) 

21 

22 

23class Recharge(BoundaryCondition, IRegridPackage): 

24 """ 

25 Recharge Package. 

26 Any number of RCH Packages can be specified for a single groundwater flow 

27 model. 

28 https://water.usgs.gov/water-resources/software/MODFLOW-6/mf6io_6.0.4.pdf#page=79 

29 

30 Parameters 

31 ---------- 

32 rate: array of floats (xr.DataArray) 

33 is the recharge flux rate (LT −1). This rate is multiplied inside the 

34 program by the surface area of the cell to calculate the volumetric 

35 recharge rate. A time-series name may be specified. 

36 concentration: array of floats (xr.DataArray, optional) 

37 if this flow package is used in simulations also involving transport, then this array is used 

38 as the concentration for inflow over this boundary. 

39 concentration_boundary_type: ({"AUX", "AUXMIXED"}, optional) 

40 if this flow package is used in simulations also involving transport, then this keyword specifies 

41 how outflow over this boundary is computed. 

42 print_input: ({True, False}, optional) 

43 keyword to indicate that the list of recharge information will be 

44 written to the listing file immediately after it is read. 

45 Default is False. 

46 print_flows: ({True, False}, optional) 

47 Indicates that the list of recharge flow rates will be printed to the 

48 listing file for every stress period time step in which "BUDGET PRINT"is 

49 specified in Output Control. If there is no Output Control option and 

50 PRINT FLOWS is specified, then flow rates are printed for the last time 

51 step of each stress period. 

52 Default is False. 

53 save_flows: ({True, False}, optional) 

54 Indicates that recharge flow terms will be written to the file specified 

55 with "BUDGET FILEOUT" in Output Control. 

56 Default is False. 

57 observations: [Not yet supported.] 

58 Default is None. 

59 validate: {True, False} 

60 Flag to indicate whether the package should be validated upon 

61 initialization. This raises a ValidationError if package input is 

62 provided in the wrong manner. Defaults to True. 

63 repeat_stress: Optional[xr.DataArray] of datetimes 

64 Used to repeat data for e.g. repeating stress periods such as 

65 seasonality without duplicating the values. The DataArray should have 

66 dimensions ``("repeat", "repeat_items")``. The ``repeat_items`` 

67 dimension should have size 2: the first value is the "key", the second 

68 value is the "value". For the "key" datetime, the data of the "value" 

69 datetime will be used. Can also be set with a dictionary using the 

70 ``set_repeat_stress`` method. 

71 """ 

72 

73 _pkg_id = "rch" 

74 _period_data = ("rate",) 

75 _keyword_map = {} 

76 

77 _init_schemata = { 

78 "rate": [ 

79 DTypeSchema(np.floating), 

80 IndexesSchema(), 

81 CoordsSchema(("layer",)), 

82 BOUNDARY_DIMS_SCHEMA, 

83 ], 

84 "concentration": [ 

85 DTypeSchema(np.floating), 

86 IndexesSchema(), 

87 CoordsSchema( 

88 ( 

89 "species", 

90 "layer", 

91 ) 

92 ), 

93 CONC_DIMS_SCHEMA, 

94 ], 

95 "print_flows": [DTypeSchema(np.bool_), DimsSchema()], 

96 "save_flows": [DTypeSchema(np.bool_), DimsSchema()], 

97 } 

98 _write_schemata = { 

99 "rate": [ 

100 OtherCoordsSchema("idomain"), 

101 AllNoDataSchema(), # Check for all nan, can occur while clipping 

102 AllInsideNoDataSchema(other="idomain", is_other_notnull=(">", 0)), 

103 ], 

104 "concentration": [IdentityNoDataSchema("rate"), AllValueSchema(">=", 0.0)], 

105 } 

106 

107 _template = BoundaryCondition._initialize_template(_pkg_id) 

108 _auxiliary_data = {"concentration": "species"} 

109 

110 _regrid_method = { 

111 "rate": (RegridderType.OVERLAP, "mean"), 

112 "concentration": (RegridderType.OVERLAP, "mean"), 

113 } 

114 

115 @init_log_decorator() 

116 def __init__( 

117 self, 

118 rate, 

119 concentration=None, 

120 concentration_boundary_type="auxmixed", 

121 print_input=False, 

122 print_flows=False, 

123 save_flows=False, 

124 observations=None, 

125 validate: bool = True, 

126 repeat_stress=None, 

127 ): 

128 dict_dataset = { 

129 "rate": rate, 

130 "concentration": concentration, 

131 "concentration_boundary_type": concentration_boundary_type, 

132 "print_input": print_input, 

133 "print_flows": print_flows, 

134 "save_flows": save_flows, 

135 "observations": observations, 

136 "repeat_stress": repeat_stress, 

137 } 

138 super().__init__(dict_dataset) 

139 self._validate_init_schemata(validate) 

140 

141 def _validate(self, schemata, **kwargs): 

142 # Insert additional kwargs 

143 kwargs["rate"] = self["rate"] 

144 errors = super()._validate(schemata, **kwargs) 

145 

146 return errors 

147 

148 def get_regrid_methods(self) -> Optional[dict[str, Tuple[RegridderType, str]]]: 

149 return self._regrid_method