多维度河道生态流量监测技术判定体系研究与应用OA

Ecological flow is a key indicator for maintaining the health and sustainable development of river ecosystems.Currently,many ecological flow monitoring efforts exhibit overly simplistic indicator settings,often treating flow rate as the sole monitoring variable.Additionally,the selection of monitoring technologies lacks unified standards,and the applicability of various technical methods varies due to differences in hydrological characteristics and monitoring objectives across regions.These factors collectively affect the accuracy of monitoring results.Therefore,establishing a systematic and standardized framework for technology selection has become an urgent need to enhance the reliability of ecological flow monitoring.After comprehensively analyzing multidimensional influencing factors such as river morphology,hydrological conditions,basin's economic conditions,monitoring scenarios,frequency requirements,monitoring indicators,and precision requirements,an ecological flow monitoring technology evaluation system was developed.This system adopted a three-tier progressive technology selection process:"monitoring demand analysis,monitoring method matching,and monitoring equipment optimization".To validate the system's applicability,an ecological flow monitoring indicator management platform was developed.The platform integrated hydrographic spatial maps and long-term foundational data,featuring functions such as cross-section morphology assessment,river morphology assessment,river meandering coefficient analysis,hydrological condition analysis,and the basin's economic impact analysis.Based on databases including ecological flow monitoring parameter requirements,ecological flow monitoring method parameters,and monitoring equipment performance and operational condition parameters,the platform could match suitable monitoring methods and determine optimal monitoring equipment according to specific river conditions.The study selected the Chishui River basin for empirical application,achieving dynamic generation of river ecological flow monitoring plans.