The Theory of SWAT Model and its Application in Heihe BasinWANG Zhong gen1, LIU Chang ming1, Huang You bo2 Author information + 文章历史 + 摘要 SWAT(SoilandWaterAssessmentTool)是一个具有很强物理机制的长时段的流域分布式水文模型。它能够利用GIS和RS提供的空间数据信息,模拟复杂大流域中多种不同的...
2000.Simulation of daily and monthly stream discharge from small watersheds using the SWAT model. Transaction of the ASAE. 43(6):1431-1439 [4]Van Liew MW,Garbrecht J.2003.Hydrologic simulation of the LittleWashitaRiver experimental watershed using SWAT. Journal of the American water resources ...
Groundwater Resources Evaluation in the Pearl River Basin Based on SWAT Model. Earth Science, 49(5): 1876-1890. doi: 10.3799/dqkx.2022.004 更多论文信息,请点击左下方(阅读原文) 加入学术交流群 备注“姓名+单位+ES” 欢 迎 扫码添...
2001. Validation of tbe swat model on a large river basin with point and nonpoint sources. 37(5):1169-1188 [3] Spruill, C ; Workman, S ; Taraba, J. 2000. Simulation of daily and monthly stream discharge from small watersheds using the SWAT model. Transaction of the ASAE. 43(6...
ArcGIS Pro interface for generating SWAT models. Contribute to swat-model/ArcSWAT3 development by creating an account on GitHub.
dir (str, optional): The target directory where the SWAT model files will be copied. If None, a temporary folder will be created (default is None). overwrite (bool, optional): If True, overwrite the content of dir; if False, create a new folder inside dir (default is False). The fu...
在农业面源污染研究中的应用。[关键词] 农业面源污染;地理信息系统(GIS );SW AT 模型 [中图分类号] TP39 [文献标识码] A [文章编号] 1006-7175(2006)10-0712-03 Study of SWAT Model on Agricultural N on -Point Source Pollution under GIS S U Dong -bin ,Y AO Qi ,DAI Feng -y ...
KeywordsSWATmodel;Hydrologicalanalysis;Nonpointsourcepollution;Environmentalchange;Bestmanagementpractices 基金项目天津市应用基础及前沿技术研究计划(重点)项目(11JCZDJC25000)。 作者简介田彦杰(1986-),女,河北衡水人,硕士研究生,研究方向:水 资源与水环境。*通讯作者,教授,从事水资源与水环境研 ...
Key words: Heihe and Baihe River Basin; SWAT model; hydrological simulation 1引言 若尔盖湿地位于青藏高原东部的黄河上游,是黄河源区的重要组成部分,每年可以为黄河提供其45%的径流量,当之无愧地成了母亲河的“蓄水池”[1]。同时,若尔盖湿地是长江支流白龙江的发源地和嘉陵江上游水源的重要涵养地,对长江、黄...
The conjunction of DDM with the SWAT Model ensued improved results during both calibration(R~2=0.96, NSE=0.95, and PBIAS=-13.49) and validation (R~2=0.97, NSE=0.96, and PBIAS=-2.87) periods on the monthly time scale. Average contribution(in percentage) of water balance components to the...