Potable water production in Lima Metropolitan area increased by 5.2% in April of 2023
Nota de prensa
25 de May de 2023 - 10:05 a. m.
The National Institute of Statistics and Informatics (INEI) informed that during the month of April of 2023 according to the information provided by the National Service of Potable Water and Sewerage Service of Lima (SEDAPAL) the potable water production of Lima Metropolitan area reached 68 million 596 thousand cubic meters. This is a higher figure in 5.2% compared that registered in the same month of 2022.
Rimac and Chillon rivers flow decrease
In the technical report Environmental Statistics and according with the information provided by the National Service of Meteorology and Hydrology (SENAMHI), in April of 2023, the Rimac River average flow totalized 27.52 m3/s, lower by 31.5% and 35.7% compared to the same month of 2022 and to its historic average respectively.
Likewise, the Chillon River average flow reached 5.19 m3/s, a lower result in 31.8% and 32.3% compared with the month of April of 2022 and to its historic average, respectively.
Lima Metropolitan area reported high levels of ultraviolet radiation
During the fourth month of the current year and according to SENAMHI information of the average rate of ultraviolet radiation for Lima Metropolitan area reached the level 6, high-risk category for health, a result that did not showed variation compared to the month of April of 2022. While, the maximum value reached the level 7, high-risk category for health.
Puno, Arequipa and Tacna registered the lowest temperatures
According to the SENAMHI’s information during the month of April of 2023 and according to the monitoring of 35 stations, the departments of Puno, Arequipa and Tacna registered the lowest temperatures. In Puno, the stations of Mazo Cruz (-14,0 °C), Cojata (-10,5 °C), Desaguadero (-8,3 °C), Chuquibambilla (-8,0 °C), Laraqueri (-7,8 °C), Pizacoma (-7,2 °C), Macusani (-6,4 °C), Crucero (-6,3 °C), Pampahuta (-6,0°C), Santa Rosa and Santa Lucía (-5,6 °C in each one), Ananea (-5,4 °C), Putina (-5,3 °C), Crucero Alto (-5,2 °C), Lampa (-4,8 °C), Juliaca, Pucará, Taraco and Llally (-4,4 °C in each one), Ayaviri (-4,2 °C), Capachica (-3,2 °C), Arapa (-3,0 °C) and Ilave (-2,2 °C).
In Arequipa, in the stations of Tisco (-9,8 °C), Pillones (-9,2 °C), Imata (-8,8 °C), Las Salinas (-8,4 °C), Porpera (-4,8 °C), Caylloma (-4,4 °C), Pampa de Arrieros (-2,9 °C) and Orcopampa (-1,9 °C); in Tacna, in the stations of Bocatoma (-9,8 °C), Paucarani (-9,6 °C) and Chuapalca (-8,4 °C); an in the department of Junín, in the station of Junín (-2,4 °C).
Emergencies at national level decreased by 16.8%
Finally, the INEI informed that during the month of April of 2023 according to the information provided by the National Institute of Civil Defense (INDECI), at national level there were reported 839 emergencies, inferior quantity in 16.8% compared with the same month of 2022. The emergencies left 8 913 affected people, 21 355 affected homes, 569 destroyed homes and 6 202 hectares of crops destroyed.
The greater number of emergencies were registered in the departments of Cajamarca (131), Huancavelica (106), Ancash (91), Ayacucho (90), Piura (62), Apurímac (52), La Libertad (46), Lima (38), Amazonas (37), Huánuco (32), San Martin (28), Cusco (27), Pasco (19), Junín (18), Ica (15), Lambayeque, Loreto and Arequipa (9 in each one), Ucayali (6), Moquegua (4), Tacna and the Constitutional Province of Callao (3), Tumbes and Puno (2), Madre de Dios did not register emergencies.
The emergencies were caused mainly by heavy rains (503), urban fires (79), landslides (40), temporal (winds and rains) (36), strong winds (30), hailstorms and collapsing house (26 in each case), flood by river over flood (23), huaycos (22), hills collapse (12), flood by channels over flood and general structural collapse (7 in each case), collapse by antiquity (6), frosts and electric storms (4 in each case), snowfalls, pests, reptation, bank erosion and explosions (2 in each case), floods, earthquakes, inland transport accidents and e flood by over flood dam (1 in each case).