Soil and Water Assessment Tool (SWAT) Model: A Systemic Review

SWAT模型 水土评价工具 环境科学 地表径流 水文学(农业) 水资源 适应性 仿真建模 水资源管理 水流 地理 工程类 流域 地图学 生态学 生物 经济 微观经济学 岩土工程
作者
Yinping Wang,Rengui Jiang,Jiancang Xie,Yong Zhao,Dongfei Yan,Siyu Yang
出处
期刊:Journal of Coastal Research [BioOne (Coastal Education and Research Foundation)]
卷期号:93 (sp1): 22-22 被引量:70
标识
DOI:10.2112/si93-004.1
摘要

Wang, Y.; Jiang, R.; Xie, J.; Zhao, Y.; Yan, D., and Yang, S., 2019. Soil and water assessment tool (SWAT) model: A systemic review. In: Guido-Aldana, P.A. and Mulahasan, S. (eds.), Advances in Water Resources and Exploration. Journal of Coastal Research, Special Issue No. 93, pp. 22–30. Coconut Creek (Florida), ISSN 0749-0208.Under the influences of climate change and human activities, the water cycle under changing environment and distributed hydrological model based on physical mechanism have become the focus of hydrology research. Soil & Water Assessment Tool (SWAT) model is one of typical distributed models, and it has been widely used in testing and forecasting the water and sediment circulation and agriculture production with chemicals. The paper used CiteSpace to analyze the research progress based on previous literatures. The results of high frequency keywords and co-word analysis show that the research hotspots of SWAT model include water quality problem, sediment yield, model calibration, uncertainty analysis and sensitivity analysis. The literatures related to SWAT were divided into model application, model accuracy and model coupling. The paper mainly focused on the literature related to model application. The domestic and abroad research processes were reviewed from three hot application fields such as runoff simulation, hydrological impacts under changing environment (HIUCE) and non-point source (NPS) pollution. The results show that: (1) the research content of runoff simulation mainly focused on the adaptability and accuracy of the model; (2) the research content of HIUCE mainly concentrated on analysis of historical changes in hydrological effects and prediction of future changes using the scenario analysis; (3) the research content of NPS pollution mainly focused on the spatial and temporal distribution of nutrients, the influencing factors and degree of nutrients, and the prediction of future to select Best Management Practices (BMPs). The paper pointed out some existing problems, prospected the future research, and proposed research idea of model improvement to adapt to the domestic changing environment. This study should be beneficial to systematically understand the structure, principle, application fields and future development trends of SWAT model, and thus provide references for users of SWAT model in related subjects.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
鱼瓜强发布了新的文献求助10
刚刚
刚刚
Pluto完成签到 ,获得积分10
刚刚
1秒前
千空发布了新的文献求助10
2秒前
成功的强发布了新的文献求助10
2秒前
myy完成签到,获得积分10
2秒前
CTH发布了新的文献求助30
3秒前
000完成签到,获得积分10
3秒前
咕噜仔完成签到,获得积分10
3秒前
大福发布了新的文献求助10
4秒前
chen01hang应助doudou采纳,获得10
5秒前
estrella发布了新的文献求助10
5秒前
zhangqiqi发布了新的文献求助10
5秒前
6秒前
6秒前
6秒前
Leah发布了新的文献求助30
7秒前
ning完成签到 ,获得积分10
7秒前
刻苦若冰完成签到,获得积分20
7秒前
8秒前
Jeffrey完成签到,获得积分10
8秒前
9秒前
shy完成签到,获得积分10
10秒前
11秒前
zf发布了新的文献求助10
11秒前
传奇3应助LGZ采纳,获得10
11秒前
坚定雁桃完成签到,获得积分10
12秒前
jackie完成签到,获得积分20
12秒前
12秒前
ganjqly完成签到,获得积分10
12秒前
12秒前
lhy发布了新的文献求助10
13秒前
SciGPT应助刻苦若冰采纳,获得30
13秒前
做好人难完成签到,获得积分10
13秒前
14秒前
15秒前
fifi关注了科研通微信公众号
15秒前
汉堡包应助明朗采纳,获得10
15秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Feldspar inclusion dating of ceramics and burnt stones 1000
What is the Future of Psychotherapy in a Digital Age? 801
The Psychological Quest for Meaning 800
Digital and Social Media Marketing 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5982854
求助须知:如何正确求助?哪些是违规求助? 7379224
关于积分的说明 16029500
捐赠科研通 5123126
什么是DOI,文献DOI怎么找? 2749301
邀请新用户注册赠送积分活动 1719404
关于科研通互助平台的介绍 1625603