Water quality models are important tools for facilitating assessment of the main processes occurring in an aquatic system. To this end, a water quality analysis simulation programme (WASP8) was used to assess the eutrophication process in El Pañe Reservoir. The reservoir has a useful water volume of 99.6 hm 3 and is connected to six other reservoirs located in the Chili Basin of the Arequipa Region. El Pañe Reservoir, which is the basin head, has exhibited eutrophication problems since 2014, causing water treatment problems for human consumption and a high probability of cyanotoxin releases from intensive algal blooms. Accordingly, the reservoir was divided into 11 segments, ammonia, nitrate, phosphate, total phosphate, dissolved oxygen, water temperature and chlorophyll-a being the simulated water quality parameters. The simulations were set in a steady state condition for 3 years from October 2015 to October 2018, subsequently determining aquaculture activity and benthic flux as being meaningful nutrient sources impacting the phytoplankton community. The results of the present study provide necessary evidence of the need to exhaustively quantify both sources in future research, which will aid decision makers in identifying the best management option that can help guarantee the sustainable development of the involved human activities.
<p>Peruvian Andes region has been proven in multiple studies to be one of a few regions have poor performance of many global precipitation estimations, due to its complex terrain and extreme interruption of atmospheric movement by the Andes mountain. This study provides an evaluation over two Peruvian local precipitation products PISCO and RAIN4PE, along with a regional dynamic downscaled WRF model simulation, and GPM-IMERG. The precipitation products were evaluated against local rain gauge data and used as the forcing data for CREST-VEC model to test the uncertainties of the precipitation products in a extremely dry region in Peru. This study readdress the accuracy issue of precipitation products in the Peruvian Andes region, and highlights the importance of using WRF modeling simulation to &#8216;fill-the-blank&#8217; of heterogenous rain gauge distribution, when remote-sensing technologies fail to perform in this area.</p>
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