Optimization of soil sampling layout of Urban Landscape Planning site based on Spatial simulated annealing algorithm

Bing Xia
Department of Environmental Art and Engineering, Henan Polytechnic, Zhengzhou,China, 450046
Pengyu Ma
CECEP Techand Ecology & Environment Co.,LTD, Beijing, China, 100083

Abstract:

Integrated nutrient management is an important means to improve crop yield in urban landscape planning sites, and correct and scientific soil sampling methods are the key to the success of precise nutrient management. The application of geostatistical theory in soil sampling can guide the sampling layout of soil properties, but cannot solve the problem of regional sampling constraints. In this study, the spatial simulated annealing algorithm is introduced into the soil sampling layout of urban landscape planning site, and the soil sampling scheme of urban landscape planning site under unconstrained and constrained conditions is discussed. The results show that in the process of soil sampling in urban landscape planning sites, if the study area has neither a priori variance nor early observation points, the layout can be optimized based on the minimum mean distance criterion when a certain sampling number is given; if there are early observation points or a priori variance in similar areas, the sampling layout can be guided by the prior variance knowledge and the minimum Kriging variance criterion. Spatial simulated annealing algorithm has practical significance in dealing with regional obstacles of soil sampling in urban landscape planning sites and making full use of prior knowledge.