diff --git a/datos/base_de_datos_gis.tsv b/datos/base_de_datos_gis.tsv
index e3c342d..3e211a4 100644
--- a/datos/base_de_datos_gis.tsv
+++ b/datos/base_de_datos_gis.tsv
@@ -3112,3 +3112,14 @@ fecha	banda	reflec
 2024-01-31	B8A	0.23476
 2024-01-31	B11	0.13258
 2024-01-31	B12	0.12646500000000002
+2024-02-05	B01	0.16783499999999998
+2024-02-05	B02	0.201835
+2024-02-05	B03	0.2525
+2024-02-05	B04	0.31466
+2024-02-05	B05	0.33510500000000004
+2024-02-05	B06	0.283695
+2024-02-05	B07	0.29706
+2024-02-05	B08	0.2702
+2024-02-05	B8A	0.25909
+2024-02-05	B11	0.13232
+2024-02-05	B12	0.12617
diff --git a/datos/datos_nuevos.tsv b/datos/datos_nuevos.tsv
index 70e4bd9..f78e3c7 100644
--- a/datos/datos_nuevos.tsv
+++ b/datos/datos_nuevos.tsv
@@ -1,12 +1,12 @@
 fecha	banda	reflec
-2024-01-31	B01	0.16804000000000002
-2024-01-31	B02	0.190915
-2024-01-31	B03	0.24123000000000003
-2024-01-31	B04	0.2977
-2024-01-31	B05	0.31631
-2024-01-31	B06	0.26419000000000004
-2024-01-31	B07	0.2742
-2024-01-31	B08	0.25217
-2024-01-31	B8A	0.23476
-2024-01-31	B11	0.13258
-2024-01-31	B12	0.12646500000000002
+2024-02-05	B01	0.16783499999999998
+2024-02-05	B02	0.201835
+2024-02-05	B03	0.2525
+2024-02-05	B04	0.31466
+2024-02-05	B05	0.33510500000000004
+2024-02-05	B06	0.283695
+2024-02-05	B07	0.29706
+2024-02-05	B08	0.2702
+2024-02-05	B8A	0.25909
+2024-02-05	B11	0.13232
+2024-02-05	B12	0.12617
diff --git a/datos/turb_pred.tsv b/datos/turb_pred.tsv
index 2bb298e..8a5844a 100644
--- a/datos/turb_pred.tsv
+++ b/datos/turb_pred.tsv
@@ -101,3 +101,4 @@ fecha	.pred
 2023-08-14	151.6351736111109
 2024-01-26	403.88039375000017
 2024-01-31	392.89227158730176
+2024-02-05	349.1261446296298
diff --git a/figuras/gg_rf__001.png b/figuras/gg_rf__001.png
index 7d9965e..5e40f65 100644
Binary files a/figuras/gg_rf__001.png and b/figuras/gg_rf__001.png differ
diff --git a/figuras/gg_test_RF_001.png b/figuras/gg_test_RF_001.png
index f17eb21..7f276a0 100644
Binary files a/figuras/gg_test_RF_001.png and b/figuras/gg_test_RF_001.png differ
diff --git a/figuras/gg_turb__001.png b/figuras/gg_turb__001.png
index b00c313..8bbbbf6 100644
Binary files a/figuras/gg_turb__001.png and b/figuras/gg_turb__001.png differ
diff --git a/index.html b/index.html
index 7f1d1ed..862b4cf 100644
--- a/index.html
+++ b/index.html
@@ -2310,7 +2310,7 @@ <h4 class="author">Víctor Gauto</h4>
 </style>
 <br> <!-- última estimación de turbidez ddisponible -->
 <center style="font-size:3em; align:center">
-Turbidez = 392,9 NTU
+Turbidez = 349,1 NTU
 </center>
 <!-- pequeño espacio entre líneas -->
 <center style="font-size:.1em; align:center">
@@ -2318,15 +2318,15 @@ <h4 class="author">Víctor Gauto</h4>
 </center>
 <!-- fecha -->
 <center style="font-size:1em; color:grey; align:center">
-31/01/2024
+05/02/2024
 </center>
 <p><br></p>
 <center>
 Estimación de <span style="color:steelblue">turbidez</span> del agua en
 el ingreso a <b>La Toma</b>
 </center>
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 <p style="text-align:Right; font-size:.75em">
 Los <b style="color:#FC8D59"> puntos</b> son los valores individuales
 estimados. <br> La <b style="color:steelblue">línea</b> es la tendencia
@@ -2335,7 +2335,7 @@ <h4 class="author">Víctor Gauto</h4>
 <div class="columns">
 <p><br> <br> <br></p><div class="column" style="width:70%;">
 <p style="color:grey;">
-05/02/2024 07:05:07
+06/02/2024 07:11:35
 </p>
 <p>Ver en <a href="https://github.com/vhgauto/sameep" target="_blank"><img src="data:image/png;base64,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" width="25" /></a></p>
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