فصلنامه نقشه و اطلاعات مکانی گیلان
سال چهارم شماره 2 (پیاپی 11، تابستان 1398)

Much of Iran is dry and poor water, and the water required by villages, industries and cities is used by groundwater sources. Excessive groundwater harvesting in many parts of the world has caused a severe drop in groundwater levels. Therefore, this study was conducted to investigate the spatial and temporal variations of groundwater level in Khorramabad plain over a ten year statistical period (2004-2014) using the best method, geostatistical estimator. In this regard, firstly, the available groundwater statistical data were collected and various conventional and simple kriging and IDW (RBF) methods with Gaussian, exponential and circular models were used. The mediation method was performed using two criteria (ME, RMSE). Then their location maps were plotted in Arcmap 10.3. The results showed that the multi-quadratic photo-distance method (RBF) is the best groundwater interpolation method in 2004 and 2014.

Optimizing the use of spatial data for macro planning, making the right decisions, better identifying patterns, and managing data are essential to helping communities excel. Spatial Data Infrastructure (SDI) is a cohesive infrastructure that facilitates the optimal use of spatial data. This infrastructure offers new ways to optimize data management by providing the conditions for data sharing. The use of electric cars due to their high efficiency, low power consumption and low emissions as a development criterion in societies is expanding. SDI exchanges location data with AVL technology by providing convenient data sharing and data sharing. Moving Detection and Navigation System (AVL) is a combination of hardware and software that utilizes satellite technology and GIS-based technology to enable tracking of motions with the aim of knowing whereabouts and optimal management capabilities. The charging process is connected to the grid and charges the battery to the nearest charging station.

Quick turn-based geo-reference information is a new technology that has a positive impact on the performance and efficiency of facility systems including Heating, Ventilating, Air-Conditioning & Refrigeration (HVAC&R's). The technology of signal detection through remote reading system, provide the management of facility HVAC&R through the geo-reference world area network (Web-based GIS) based on geographic information system (GIS). This method as a new concept in the control science and optimize energy consumption can be an effective factor in design, maintenance, energy consumption management, and commissioning of the facilities and building industry. Also, this method provides online control of energy consumption of the facilities and building industry. So in this work, the model of control of HVAC&R in the context with GIS and Web-based GIS were investigated. The empirical results besides the regression mathematical analysis show that this model is able to predict and evaluate energy consumption.