Agricultural Water Optimal Allocation Using Minimum Cross-Entropy and Entropy-Weight-Based TOPSIS Method in Hetao Irrigation District, Northwest China

Affected by the temporal and spatial changes of natural resources, human activities, social economic system policies, there are many uncertainties in development, utilization, management process irrigation district agricultural water which will increase complexity use resources. Decision makers find it challenging to cope with fluctuating supplies demands that critical for resources’ allocation. In response these issues, this paper presents an optimization modeling approach allocation at scale, considering supply demand. The minimum cross-entropy method was used estimate parameters hydrologic frequency distribution functions demand, basis optimal evaluation carrying capacity Hetao Irrigation District. Interval Linear Fractional Programming availability, shortage, efficiency different areas District (HID) under scenarios. denominator fractional planning is environmental goal, numerator goal; so, objective function programming utility rate required post-optimization analysis. Future availability shortage scenarios adopted consistent Representative Concentration Pathways’ (RCPs’) framework, future developed using Shared Socioeconomic (SSPs’) framework. Results revealed SSP1, annual consumption increased from 30 billion m3 60 m3, almost doubling Urad. SSP2 SSP3 slightly, about 50 m3. amount available well Urad decreased 300 250 while canal remained 270 2010 s 2030 s, only dropping 240 2040 s. entropy-weight-based Technique Order Preference Similarity Ideal Solution (TOPSIS) applied evaluate schemes because can avoid subjectivity weight determination reflect dynamic changing trend capacity. applicable most regions, such as Upper Yellow River Basi limited precipitation, determine strategies environment.