CAJ | 학술논문

Van Genuchten模型（简称VG模型）是目前运用最为广泛的土壤水分特征曲线模型，提出适宜的优化算法进行模型参数识别也是一个非常重要的研究方向。针对标准的粒子群算法易陷入局部最优的缺点，给出了一种多邻域粒子群算法，可以有效地克服粒子群算法易陷入局部最优的缺点，并利用该算法对VG模型参数进行识别，最后用所求解的参数对不同类型土壤持水性能进行了试验。数值实验结果表明，多邻域粒子群算法能够有效地应用于VG模型的参数识别，与其它算法相比在性能和精度上都有所提高，而且对参数的取值范围也可以较大地放宽。因此，多邻域粒子群算法可以作为VG模型参数识别的一种新方法。
Van Genuchten모형（간칭VG모형）시목전운용최위엄범적토양수분특정곡선모형，제출괄의적우화산법진행모형삼수식별야시일개비상중요적연구방향。침대표준적입자군산법역함입국부최우적결점，급출료일충다린역입자군산법，가이유효지극복입자군산법역함입국부최우적결점，병이용해산법대VG모형삼수진행식별，최후용소구해적삼수대불동류형토양지수성능진행료시험。수치실험결과표명，다린역입자군산법능구유효지응용우VG모형적삼수식별，여기타산법상비재성능화정도상도유소제고，이차대삼수적취치범위야가이교대지방관。인차，다린역입자군산법가이작위VG모형삼수식별적일충신방법。
The Van Genuchten model (hereinafter refer to as VG model ) is the most wide use model for soil water characteristic curve at present ,put forward the feasible optimization algorithm to identify the model parameters is also a very important research direction .In this paper ,pointed to the disadvantage of the standard particle swarm algorithm was easy to fall into local optimum ,presented a multiple neighborhood particle swarm algorithm which can be effectively over-come the shortcoming of local optimum ,also can use this algorithm to identify the parameters of the VG model ,finally different type of soil moisture performances are tested by these parameters .The numerical experiment results showed that :The multiple neighborhood particle swarm algorithm can be effectively applied to identify the parameters of the VG model , compared with other algorithms in terms of performance and precision are improved ,also the scope of parameters can be larger .As a result ,The multiple neighborhood particle swarm algorithm can be used as a new kind of method for identifi-cation of the VG model parameters .