Initial translation of app interface

docs/index.qmd

@@ -6,7 +6,7 @@ language: norsk.yml
 
 Denne nettsiden inneholder dokumentasjon for [innsjøkalkingsapplikasjonen](https://lake-liming.t.niva.no/). Modellen simulerer typiske/idealiserte endringer i innsjøers vannkjemi (kalsiumkonsentrasjon og pH) for ulike kalkingsstrategier.
 
- * For en beskrivelse av hvordan du bruker applikasjonen, se [Brukerveiledningen](https://nivanorge.github.io/lake_liming_app/user-guide.html).
+ * For en beskrivelse av hvordan du bruker applikasjonen, se [Brukerhåndboken](https://nivanorge.github.io/lake_liming_app/user-guide.html).
 
  * For å forstå hvordan modellen fungerer, se [Innsjømodellering](https://nivanorge.github.io/lake_liming_app/lake-modelling.html).
 

src/lake_modelling/utils/run_products.py

@@ -93,7 +93,7 @@ def plot_multiple_products(df, pH_lake0, pH_inflow, lib):
         g.axes[1, 0].axhline(y=pH_lake0, ls="--", c="k")
         g.axes[1, 0].axhline(y=pH_inflow, ls="--", c="k")
         g.axes[0, 0].set_ylabel("$\Ca_{ekv}$ (mg/l)")
-        g.axes[1, 0].set_ylabel("Lake pH (-)")
+        g.axes[1, 0].set_ylabel("Innsjø pH (-)")
         g.axes[1, 0].set_xlabel("")
         g.axes[0, 0].set_title("")
         g.axes[1, 0].set_title("")
@@ -118,10 +118,10 @@ def plot_multiple_products(df, pH_lake0, pH_inflow, lib):
             alt.Chart(df)
             .mark_line()
             .encode(
-                x=alt.X("date", axis=alt.Axis(title="Months", grid=True)),
+                x=alt.X("date", axis=alt.Axis(title="Måneder", grid=True)),
                 y=alt.Y(
                     "pH",
-                    axis=alt.Axis(title="Lake pH (-)"),
+                    axis=alt.Axis(title="Innsjø pH (-)"),
                     scale=alt.Scale(zero=False),
                 ),
                 color="product",

src/lake_modelling/utils/user_inputs.py

@@ -2,72 +2,97 @@
 
 
 def get_lake_params():
-    st.markdown("### Lake characteristics")
-    with st.expander("Help"):
+    st.markdown("### Innsjøegenskaper")
+    # with st.expander("Help"):
+    #     st.markdown(
+    #         """Enter the characteristics for your lake of interest using the input boxes below.
+    #         Estimates for mean monthly and annual discharge will be shown in the plot."""
+    #     )
+    with st.expander("Hjelp"):
         st.markdown(
-            """Enter the characteristics for your lake of interest using the input boxes below.
-            Estimates for mean monthly and annual discharge will be shown in the plot."""
+            """Skriv inn egenskapene for din interessante innsjø ved å bruke inntastingsboksene 
+            nedenfor. Estimert gjennomsnittlig månedlig og årlig utslipp vil bli vist i plottet."""
         )
     col1, col2 = st.columns(2)
-    area = col1.number_input("Surface area (km²)", min_value=0.01, value=0.2)
-    depth = col1.number_input("Mean depth (m)", min_value=0.01, value=5.0)
+    area = col1.number_input("Overflateareal (km²)", min_value=0.01, value=0.2)
+    depth = col1.number_input("Middeldybde (m)", min_value=0.01, value=5.0)
     tau = col1.number_input(
-        "Water residence time (years)",
+        "Vannoppholdstid (years)",
         min_value=0.1,
         value=0.7,
         step=0.1,
         format="%.1f",
     )
     flow_prof = (
-        col1.selectbox("Flow profile", ("None", "Fjell", "Kyst"), index=1)
+        col1.selectbox("Vannføringsprofil", ("Ingen", "Fjell", "Kyst"), index=1)
     ).lower()
-    pH_lake0 = col2.number_input("Initial pH", min_value=4.5, max_value=6.5, value=5.0)
-    pH_inflow = col2.number_input("Inflow pH", min_value=4.5, max_value=6.5, value=5.0)
-    toc_lake0 = col2.number_input("TOC concentration (mg/l)", min_value=0.0, value=4.0)
+    if flow_prof == "ingen":
+        flow_prof = "none"
+    pH_lake0 = col2.number_input("Start pH", min_value=4.5, max_value=6.5, value=5.0)
+    pH_inflow = col2.number_input("Innløps pH", min_value=4.5, max_value=6.5, value=5.0)
+    toc_lake0 = col2.number_input("TOC konsentrasjon (mg/l)", min_value=0.0, value=4.0)
     lake_params = (area, depth, tau, flow_prof, pH_lake0, pH_inflow, toc_lake0)
 
     return lake_params
 
 
 def get_product(products):
-    st.markdown("## Liming products")
-    with st.expander("Help"):
+    st.markdown("## Kalkprodukter")
+    # with st.expander("Help"):
+    #     st.markdown(
+    #         """Choose a liming product from the list below to view column test results (instantaneous 
+    #         dissolution and overdosing factors) from the database."""
+    #     )
+    with st.expander("Hjelp"):
         st.markdown(
-            """Choose a liming product from the list below to view column test results (instantaneous 
-            dissolution and overdosing factors) from the database."""
+            """Velg et kalkprodukt fra listen nedenfor for å se kolonnetestresultater 
+            (momentanoppløsning og overdoseringsfaktorer) fra databasen."""
         )
-    prod_name = st.selectbox("Choose liming product", (products))
+    prod_name = st.selectbox("Velg kalkprodukt", (products))
 
     return prod_name
 
 
 def get_model_params():
-    st.markdown("### Liming parameters")
-    with st.expander("Help"):
+    st.markdown("### Kalkingsparametere")
+    # with st.expander("Help"):
+    #     st.markdown(
+    #         """
+    #     Use the input boxes below to define the **liming procedure**.
+
+    #     For each product in the database, the model will simulate changes in Ca
+    #     (equivalent) concentration and pH for the specified lake using this procedure.
+    #     """
+    #     )
+    with st.expander("Hjelp"):
         st.markdown(
             """
-        Use the input boxes below to define the **liming procedure**.
-            
-        For each product in the database, the model will simulate changes in Ca
-        (equivalent) concentration and pH for the specified lake using this procedure.
+        Bruk inndataboksene nedenfor for å definere **kalkingsprosedyren**.
+        
+        For hvert produkt i databasen vil modellen simulere endringer i Ca (ekvivalent) 
+        konsentrasjon og pH for den angitte innsjøen ved hjelp av denne prosedyren.
         """
         )
     col1, col2 = st.columns(2)
 
     lime_dose = col1.number_input(
-        "Lime dose (mg/l of product)", min_value=0.1, max_value=85.0, value=10.0
+        "Kalkdose (mg/l produkt)", min_value=0.1, max_value=85.0, value=10.0
     )
     spr_prop = col1.number_input(
-        "Proportion of lake surface area limed (-)",
+        "Andel av innsjøoverflate kalket (-)",
         min_value=0.0,
         max_value=1.0,
         value=0.5,
     )
-    spr_meth = col1.selectbox("Application method", ("Wet", "Dry"), index=0).lower()
+    spr_meth = col1.selectbox("Kalkingsmetode", ("Våt", "Tørr"), index=0).lower()
+    if spr_meth == "våt":
+        spr_meth = "wet"
+    else:
+        spr_meth = "dry"
     lime_month = col2.number_input(
-        "Application month", min_value=1, max_value=12, value=7
+        "Kalkingsmåned", min_value=1, max_value=12, value=7
     )
-    n_months = col2.number_input("Number of months to simulate", min_value=1, value=12)
+    n_months = col2.number_input("Antall måneder å simulere", min_value=1, value=12)
     # F_sol = col1.number_input(
     #     "Proportion of lake-bottom lime that remains soluble (-)",
     #     min_value=0.0,

subpages/column_test.py

@@ -6,28 +6,42 @@
 def app():
     """Main function for the 'column_test' page."""
 
-    st.markdown("## Column tests")
+    # st.markdown("## Column tests")
+    # st.info(
+    #     """You can explore column test results for lime products that are **already
+    #     in the database** from the `Innsjømodellering` tab.""",
+    #     icon="ℹ️",
+    # )
+    # with st.expander("Help"):
+    #     st.markdown(
+    #         """Use this page to upload **new** column test data from an Excel template.
+    #     First download a blank copy of the template
+    #     [here](https://github.com/NIVANorge/lake_liming_app/raw/main/data/liming_app_data_template_v1-1.xlsx).
+    #     Then fill-in your column test results and upload the completed template
+    #     using the button in the left sidebar."""
+    #     )
+    st.markdown("## Kolonnetester")
     st.info(
-        """You can explore column test results for lime products that are **already
-        in the database** from the `Innsjømodellering` tab.""",
+        """Du kan utforske kolonnetestresultater for kalkprodukter som er **allerede i 
+        databasen** fra fanen `Innsjømodellering`.""",
         icon="ℹ️",
     )
-    with st.expander("Help"):
+    with st.expander("Hjelp"):
         st.markdown(
-            """Use this page to upload **new** column test data from an Excel template.
-        First download a blank copy of the template 
-        [here](https://github.com/NIVANorge/lake_liming_app/raw/main/data/liming_app_data_template_v1-1.xlsx).
-        Then fill-in your column test results and upload the completed template 
-        using the button in the left sidebar."""
+            """Bruk denne siden til å laste opp **nye** kolonnetestdata fra en Excel-mal. 
+            Last først ned en tom kopi av malen 
+            [her](https://github.com/NIVANorge/lake_liming_app/raw/main/data/liming_app_data_template_v1-1.xlsx). 
+            Fyll deretter ut kolonnetestresultatene og last opp den ferdige malen ved å 
+            bruke knappen i venstre sidefelt."""
         )
-    data_file = st.sidebar.file_uploader("Upload template")
+    data_file = st.sidebar.file_uploader("Last opp mal")
     if data_file:
         st.session_state["data_file"] = data_file
 
     if "data_file" in st.session_state:
         data_file = st.session_state["data_file"]
-        with st.spinner("Reading data..."):
-            st.markdown(f"**File name:** `{data_file.name}`")
+        with st.spinner("Leser data..."):
+            st.markdown(f"**Filnavn:** `{data_file.name}`")
             read_template(data_file)
 
             par_df = st.session_state["par_df"]
@@ -38,10 +52,10 @@ def app():
             par_val_dict = par_df.to_dict()["Value"]
             st.markdown(
                 f"""
-                ### Processing data for product: `{par_val_dict['lime_product_name']}`
-                **Total Ca content by mass:** {par_val_dict['lime_prod_ca_pct']} %
+                ### Behandler data for produkt: `{par_val_dict['lime_product_name']}`
+                **Totalt Ca-innhold etter masse:** {par_val_dict['lime_prod_ca_pct']} %
 
-                **Total Mg content by mass:** {par_val_dict['lime_prod_mg_pct']} %
+                **Totalt Mg-innhold etter masse:** {par_val_dict['lime_prod_mg_pct']} %
             """
             )
 
@@ -51,7 +65,7 @@ def subheader(str):
                     unsafe_allow_html=True,
                 )
 
-            subheader("Calcium results")
+            subheader("Kalsium resultater")
             left_col, right_col = st.columns(2)
             # Instantaneous test
             with left_col:
@@ -74,7 +88,7 @@ def subheader(str):
 
             # Display Mg results if data present
             if inst_df["Mg_mg/l"].sum() != 0:
-                subheader("Magnesium results")
+                subheader("Magnesium resultater")
                 left_col, right_col = st.columns(2)
                 with left_col:
                     # Instantaneous test

subpages/comparison_factors.py

@@ -6,29 +6,53 @@ def app():
     """Main function for the 'comparison_factors' page."""
 
     st.markdown("## Omregningsfaktorer")
+    # st.markdown(
+    #     """
+    # These plots show the simulated effectiveness of different lime products compared
+    # to a reference standard for lakes with various mean depths and water residence
+    # times. **Values less than one indicate the product is more effective than the
+    # standard; values greater than one imply it is less effective (per unit mass)**.
+
+    # The reference used for these plots is `Standard Kalk Kat3`.
+
+    # See the
+    # [Documentation](https://nivanorge.github.io/lake_liming_app/user-guide.html#sec-comparison-factors)
+    # for details.
+    # """
+    # )
     st.markdown(
         """
-    These plots show the simulated effectiveness of different lime products compared
-    to a reference standard for lakes with various mean depths and water residence 
-    times. **Values less than one indicate the product is more effective than the 
-    standard; values greater than one imply it is less effective (per unit mass)**. 
+    Disse plottene viser den simulerte effektiviteten til ulike kalkprodukter sammenlignet 
+    med en referansestandard for innsjøer med ulike middeldybder og vannoppholdstider. 
+    **Verdier mindre enn én indikerer at produktet er mer effektivt enn standarden; verdier 
+    større enn én betyr at den er mindre effektiv (per kilogram)**.
     
-    The reference used for these plots is `Standard Kalk Kat3`.
-
-    See the 
-    [Documentation](https://nivanorge.github.io/lake_liming_app/user-guide.html#sec-comparison-factors) 
-    for details.
+    Referansen som brukes for disse plottene er `Standard Kalk Kat3`.
+    
+    Se [Dokumentasjon](https://nivanorge.github.io/lake_liming_app/user-guide.html#sec-comparison-factors)
+    for detaljer.
     """
     )
-    with st.expander("Help"):
+    # with st.expander("Help"):
+    #     st.markdown(
+    #         """
+    #     The plots are interactive:
+    #      * Click on the series names in the legend to turn curves on/off.
+    #      * Use `SHIFT + Click` to select multiple curves.
+    #      * Use your mouse wheel to zoom in/out.
+    #      * Double-click to return to the full extent.
+    #      * Hover on any line to see details as "tooltips".
+    #     """
+    #     )
+    with st.expander("Hjelp"):
         st.markdown(
             """
-        The plots are interactive:
-         * Click on the series names in the legend to turn curves on/off.
-         * Use `SHIFT + Click` to select multiple curves.
-         * Use your mouse wheel to zoom in/out.
-         * Double-click to return to the full extent.
-         * Hover on any line to see details as "tooltips".
+        Plottene er interaktive:
+         * Klikk på serienavnene i forklaringen for å slå kurver på/av.
+         * Bruk `SHIFT + Klikk` for å velge flere kurver.
+         * Bruk musehjulet til å zoome inn/ut.
+         * Dobbeltklikk for å gå tilbake til hele omfanget.
+         * Hold musepekeren på en linje for å se detaljer som "verktøytips".
         """
         )
     chart = plot_factors()

subpages/lake_modelling.py

@@ -20,24 +20,37 @@ def app():
     prod = LimeProduct(name)
     prod.plot_column_data(plot_lib)
 
-    st.markdown("## Lake modelling")
+    st.markdown("## Innsjømodellering")
     area, depth, tau, flow_prof, pH_lake0, pH_inflow, toc_lake0 = get_lake_params()
     lake = Lake(area, depth, tau, flow_prof, pH_lake0, pH_inflow, toc_lake0)
     lake.plot_flow_profile(plot_lib)
 
     res_df = run_multiple_products(lake, products)
-    st.markdown("### Model results")
-    with st.expander("Help"):
+    st.markdown("### Modell resultater")
+    # with st.expander("Help"):
+    #     st.markdown(
+    #         """
+    #     The plots are interactive:
+    #      * Click on the series names in the legend to turn curves on/off.
+    #      * Use `SHIFT + Click` to select multiple curves.
+    #      * Use your mouse wheel to zoom in/out.
+    #      * Double-click to return to the full extent.
+    #      * Hover on any line to see details as "tooltips".
+
+    #     Dashed horizontal lines on the pH plot mark the lake's initial and inflow pH.
+    #     """
+    #     )
+    with st.expander("Hjelp"):
         st.markdown(
             """
-        The plots are interactive:
-         * Click on the series names in the legend to turn curves on/off.
-         * Use `SHIFT + Click` to select multiple curves.
-         * Use your mouse wheel to zoom in/out.
-         * Double-click to return to the full extent.
-         * Hover on any line to see details as "tooltips".
-
-        Dashed horizontal lines on the pH plot mark the lake's initial and inflow pH.
+        Plottene er interaktive:
+         * Klikk på serienavnene i forklaringen for å slå kurver på/av.
+         * Bruk `SHIFT + Klikk` for å velge flere kurver.
+         * Bruk musehjulet til å zoome inn/ut.
+         * Dobbeltklikk for å gå tilbake til hele omfanget.
+         * Hold musepekeren på en linje for å se detaljer som "verktøytips".
+        
+        Stiplede horisontale linjer på pH-plottet markerer innsjøens start- og innløps-pH.
         """
         )
     plot_multiple_products(res_df, pH_lake0, pH_inflow, plot_lib)