Regional analysis and evaluation of the rain-gauge and hydrometric station networks of Jarrahi- Zohre Basin using discrete transinformation entropy

Subject Areas :

Seyed Morteza Tabatabae ¹ , Seyed Amir Shamsnia ² , Alireza Valipour ³

1 - Shiraz Branch, Islamiz Azad University, Shiraz, Iran.
2 - GIS &RS Department, Shiraz Branch, Islamic Azad University, Shiraz, Iran.
3 - Shiraz Branch, Islamic Azad University, Shiraz. Iran

Received: 2022-11-19 Accepted : 2023-03-12 Published : 2023-02-20

Keywords: rainfall, Discrete entropy, Rain-gauge, Hydrometric network,

Abstract :

Assess the quality of rainfall and stream flow information have an important role in improving the efficiency and correct their deficiencies. For an optimal monitoring network design, they should be reviewed periodically based on the information needs and future water resources development plans. In this study evaluates regional values of rain-gauges and stream-gauges in Jarrahi- Zohre basin using the discrete entropy. To determine the regional value of each station within a region, several information parameters, were calculated to identify essential rain gauge and critical area. Based on the obtained results, 39.7% of the area of the area does not have a rain-gauge station, while nearly 53% of the area of the area is in the class of lack, severe lack and lack of information exchange, and 40% of the area of the area is in the middle class. Therefore, the density of the 42 selected stations of the rain gauge network in Jarrahi - Zohre basin is not acceptable and it is necessary to seriously reconsider the distribution and layout of the rain-gauge stations in the area. Also, 21.16% of the area of the area does not have a water measuring station. While more than 5.7% of the district area is in the class of deficiency, severe deficiency and lack of information exchange, and more than 73% of the area of the district is in the middle, upper middle and surplus class. Therefore, the density of the 16 selected stations of the water measurement network is optimal and other active water measurement stations can be removed from the monitoring network of the area.