Resources Environment and Information Engineering https://www.syncsci.com/journal/REIE <p><a title="Registered Journal" href="https://www.reviewercredits.com/user/resour-environ-inf-eng" target="_blank" rel="noopener"><img src="/journal/public/site/images/jasongong/Logo_ReviewerCredits-journal.jpg" alt="" width="17%" align="right"></a><strong>Resources Environment and Information Engineering (REIE)</strong> (ISSN: 2661-3131) is an open access, continuously published, international, refereed&nbsp; journal which mainly studies the interdisciplinary and comprehensive fields of geospatial information science, resource science and environmental science. REIE publishes high quality special report, investigations, techniques and methods, original research work etc.</p> <p><strong>REIE</strong> will accept high-profile submissions including but not limited to: <br>--Environmental engineering<br>--Environmental Science <br>--Environmental monitoring and evaluation <br>--Improvement of ecological environment and pollution control <br>--Water pollution control theory and technology <br>--Air pollution control and catalytic technology <br>--Environmental planning and management <br>--Surveying and Mapping Engineering <br>--Geographic information system <br>--Remote sensing science and technology</p> SyncSci Publishing Pte Ltd, Singapore en-US Resources Environment and Information Engineering 2661-3131 <p>Authors contributing to&nbsp;<em>Resources Environment and Information Engineering</em>&nbsp;agree to publish their articles under the&nbsp;<a href="http://creativecommons.org/licenses/by-nc/4.0">Creative Commons Attribution-Noncommercial 4.0 International License</a>, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit, that the work is not used for commercial purposes, and that in the event of reuse or distribution, the terms of this license are made clear.</p> Investigation of water quality in wet and dry seasons under climate change https://www.syncsci.com/journal/REIE/article/view/REIE.2021.01.002 <p>Providing fresh water suitable for drinking and farming and living organisms in the ecosystem is essential. To evaluate water quality, qualitative indicators are often employed for managing water resources and water quality protection and pollution abatement. This study evaluated the quality of Borkhar basin water resources using three different water quality indices, including National Institutes of Health Water Quality Index (NIHWQI) having nine parameters, the Oregon Water Quality Index (OWQI) having eight parameters, and the Canadian Water Quality Indices (CWQI) with 22 main parameters. Using data for a period of 30 years, NIHWQI, OWQI and CWQI were used. To analyze water quality of the entire basin for current and future time. Results showed that water quality of the basin was in a very moderate range according to NSFWQI, and was in a very bad range accordingly to OWQI. Water quality forecasts showed that future water quality would be bad, based on OWQI and moderate based on NSFWQI, whereas based on CWQI, it will be good for drinking, and bad for aquatic animals, recreation, irrigation, and livestock use.</p> Safieh Javadinejad Rebwar Dara Masoud Hussein Hamed Mariwan Akram Hamah Saeed Forough Jafary ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 2021-05-31 2021-05-31 3 1 111 123 10.25082/REIE.2021.01.002 Climate change simulation and impacts on extreme events of rainfall and storm water in the Zayandeh Rud Catchment https://www.syncsci.com/journal/REIE/article/view/REIE.2021.01.001 <p>Nowadays, one of the most significant problems is that to recognize how the severity of heavy precipitation and floods may alter in future time in comparison with the current period. The purpose of this research is to understand the impact of future climate change on storm water and probability of maximum flood for future time period. Zayandeh rud river basin in Iran is selected as a case study. Forecast of future climatic parameters based on temperature and precipitation of the upcoming period (2006-2040) is completed with using the HadCM3 model and based on RCP 2.6, 4.5, and 8.5 emission patterns. Also, climate change model is downscaled statistically with applying LARS-WG. In the next step, the probable of maximum precipitation is measured through synoptic method and then, in order to model maximum storm water under the climate change effects, the HEC-HMS for simulating rainfall-runoff model is used. Also, the Snowmelt Runoff Model (SRM) is applied to model snow melting. The results of this research indicate the maximum of probable precipitation in the basin for the period of 2006-2040 under the scenario RCP 2.6, can rise by 5% and by the scenarios of RCP 4.5 and RCP 8.5 can decrease by 5% and 10%, respectively in comparison with the current period 1970-2005.</p> Safieh Javadinejad Rebwar Dara Forough Jafary ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 2021-04-22 2021-04-22 3 1 100 110 10.25082/REIE.2021.01.001 A review on homogeneity across hydrological regions https://www.syncsci.com/journal/REIE/article/view/REIE.2021.01.004 <p>Hydrologic classification is the method of scientifically arranging streams, rivers or catchments into groups with the most similarity of flow regime features and use it to recognize hydrologically homogenous areas. Previous homogeneous attempts were depended on&nbsp; overabundance of hydrologic metrics that considers features of variability of flows that are supposed to be meaningful in modelling physical progressions in the basins. This research explains the techniques of hydrological homogeneity through comparing past and existing methods; &nbsp;in addition it provides a practical framework for hydrological homogeneity that illustrates serious elements of the classification process.</p> Safieh Javadinejad ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 2021-10-15 2021-10-15 3 1 124 137 10.25082/REIE.2021.01.004