墑情診斷模型的理論分析、綜合評價和展望
發(fā)布時間:2018-05-12 12:41
本文選題:降水量 + 土壤含水量; 參考:《生態(tài)學雜志》2017年12期
【摘要】:本文基于專欄論文的全部研究結果,對墑情診斷模型進行了理論分析、綜合評價和展望,目的是建立更實用的墑情診斷模型。研究結果如下:(1)87個墑情監(jiān)測點的降水量數據可以用就近氣象站的降水量代替;(2)分別就87個墑情監(jiān)測點所建立的6個獨立模型和1個綜合模型(分時段診斷和逐日診斷2類)的診斷合格率都達到75%以上;(3)綜合模型優(yōu)于6個獨立模型的單獨使用;(4)所有模型和參數都是按監(jiān)測點建立和確定的,不存在下墊面因素的影響;(5)所有模型簡單、使用3個獨立變量(前期土壤含水量、時段降水量之和和2次監(jiān)測之間的天數)、參數容易獲得,只要有系列性的土壤含水量監(jiān)測數據和對應的降水量(監(jiān)測點降水量或就近氣象站降水量)數據就可建模。
[Abstract]:Based on all the research results of the column paper, this paper makes a theoretical analysis, comprehensive evaluation and prospect of the moisture diagnosis model. The purpose of this paper is to establish a more practical diagnosis model of soil moisture. The results are as follows: 1) the precipitation data of 87 soil moisture monitoring points can be replaced by the precipitation of nearby weather stations.) six independent models and one comprehensive model for 87 soil moisture monitoring points have been established respectively. The qualified rate of diagnosis is more than 75%.) the integrated model is superior to the 6 independent models. (4) all the models and parameters are established and determined according to the monitoring points. All the models are simple, using three independent variables (soil moisture content in the previous period, the sum of precipitation in the period and the number of days between the two monitoring periods), and the parameters are easy to be obtained. As long as there are a series of soil moisture monitoring data and corresponding precipitation data (precipitation at monitoring point or nearby weather station) data can be modeled.
【作者單位】: 農業(yè)部環(huán)境保護科研監(jiān)測所;北部灣環(huán)境演變與資源利用教育部重點實驗室(廣西師范學院)廣西地表過程與智能模擬重點實驗室(廣西師范學院);
【基金】:中央級公益性科研院所基本科研業(yè)務費專項資金(農業(yè)部環(huán)境保護科研監(jiān)測所)項目(2015-szjj-zhy) “中國農業(yè)科學院科技創(chuàng)新工程”(2016-cxgc-hyl) 天津市科技支撐計劃(15ZCZDNC00700) 全國農業(yè)技術推廣中心節(jié)水處項目(2016-hx-hyl-5)資助
【分類號】:S152.7
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本文編號:1878659
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