| This article has been：Browse 1480Times Download 1082Times |
|
|
|
| DOI：10.13522/j.cnki.ggps.2017.12.015 |
|
| Assessing the Health of Plain Reservoirs Using Variable Fuzzy System: Theory and Case Study |
|
WANG Yaping, YUE Qiang, REN Chenxi, ZHANG Qingzhu, QIU Qingtai, DIAO Yanfang, WANG Gang
|
|
School of Water Conservancy and Civil Engineering, Shandong Agricultural University, Taian 271018, China; Huaihe River Basin Water Management Bureau of Shandong Province, Ji’nan 250100, China; China Institute of Water Resources and Hydropower Research, Beijing 100038, China;Shandong Bureau of Hydrology and Water Resources，YRCC， Ji’nan 250100, China
|
| Abstract: |
| Agriculture is an important industry in the plain regions in China, but is affected by frequent occurrences of drought and flooding . Building reservoirs in the plain regions offers an effective way to ameliorate these detrimental effects. Assessing the health of these reservoirs is essential to ensure their operation and safeguard agricultural production, but theories and methods for doing so are lack compared with those for hilly reservoirs. To bridge this gap, we proposed the concept of health plain reservoirs by considering various factors which affect the health of plain reservoirs. Based on this concept, the health assessment index system for the plain reservoirs was constructed, which included four first-grade indexes, namely, structural safety, functional benefits, ecological environment, health persistence, and 14 second-grade indexes. The health assessment index system was divided into four grades: health, sub-health, unhealthy and sick. Finally, using the fuzzy characteristics of the health assessment of the plain reservoirs, the variable fuzzy assessment method was chosen. Application of the model to Dingdong Reservoir showed that the health assessment index system for the lain reservoirs based on variable fuzzy was easy to understand, convenient to operate, be highly reliable. |
| Key words: plain reservoir; health assessment; index system; variable fuzzy |
|
|
