A comprehensive modeling framework to evaluate soil erosion by water and tillage

WEPP公司 耕作 环境科学 分水岭 腐蚀 水文学(农业) 通用土壤流失方程 沉积物 水土保持 土壤科学 农业 土壤流失 地质学 计算机科学 地理 岩土工程 生物 机器学习 生态学 古生物学 考古
作者
SangHyun Lee,Maria L. Chu,Jorge A. Guzman,Alejandra Botero-Acosta
出处
期刊:Journal of Environmental Management [Elsevier BV]
卷期号:279: 111631-111631 被引量:9
标识
DOI:10.1016/j.jenvman.2020.111631
摘要

Soil erosion is significantly increased and accelerated by unsustainable agricultural activities, resulting in one of the major threats to soil health and water quality worldwide. Quantifying soil erosion under different conservation practices is important for watershed management and a framework that can capture the spatio-temporal dynamics of soil erosion by water is required. In this paper, a modeling framework that coupled physically based models, Water Erosion Prediction Project (WEPP) and MIKE SHE/MIKE 11, was presented. Daily soil loss at a grid-scale resolution was determined using WEPP and the transport processes were simulated using a generic advection dispersion equation in MIKE SHE/MIKE 11 models. The framework facilitated the physical simulation of sediment production at the field scale and transport processes across the watershed. The coupled model was tested using an intensively managed agricultural watershed in Illinois. The impacts of no-till practice on both sediment production and sediment yield were evaluated using scenario-based simulations with different fractions of no-till and conventional tillage combinations. The results showed that if no-till were implemented for all fields throughout the watershed, 76% and 72% reductions in total soil loss and sediment yield, respectively, can be achieved. In addition, if no-till practice were implemented in the most vulnerable areas to sediment production across the watershed, a 40% no-till implementation can achieve almost the same reduction as 100% no-till implementation. Based on the simulation results, the impacts of no-till practice are more prominent if implemented where it is most needed. • A modeling framework for estimating soil loss and sediment transport was presented. • The impacts of no-till on soil loss and sediment yield were examined. • Implementing no-till in areas of high soil loss was key in reducing soil erosion.

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
ZB发布了新的文献求助10
1秒前
QiongYin_123发布了新的文献求助10
2秒前
11111发布了新的文献求助10
2秒前
清脆的迎松完成签到,获得积分10
2秒前
3秒前
sanvva应助蓝天采纳,获得50
4秒前
Theprisoners发布了新的文献求助10
4秒前
瓜了个瓜发布了新的文献求助10
5秒前
5秒前
5秒前
ZYJ完成签到,获得积分10
6秒前
7秒前
8秒前
plh完成签到,获得积分10
9秒前
嘉心糖应助daomaihu采纳,获得100
11秒前
嘉心糖应助daomaihu采纳,获得100
11秒前
11秒前
DcQiu科研小白完成签到,获得积分10
12秒前
聪明的醉卉完成签到,获得积分10
12秒前
上官若男应助zimi采纳,获得10
12秒前
轻念完成签到,获得积分10
13秒前
86发布了新的文献求助10
13秒前
可爱的坤发布了新的文献求助10
13秒前
14秒前
小马甲应助OpalLi采纳,获得10
14秒前
15秒前
852应助QiongYin_123采纳,获得10
15秒前
wanci应助ZB采纳,获得10
16秒前
23421完成签到,获得积分10
16秒前
从容乌发布了新的文献求助10
16秒前
hh发布了新的文献求助10
18秒前
19秒前
19秒前
cdercder应助2423采纳,获得10
20秒前
20秒前
壹贰叁发布了新的文献求助10
21秒前
上单马冬梅完成签到 ,获得积分10
22秒前
22秒前
23秒前
zhang发布了新的文献求助10
23秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
The Resilient Mindset 400
Impact of Storage Orientation and Duration on Prefilled Syringe Performance: Break-Loose and Glide Forces, and Injection Time Across Multiple Time Points 360
Programming for Chemical Engineers Using C, C++, and MATLAB 300
Upland Kenya wild flowers and ferns: a flora of the flowers, ferns, grasses, and sedges of highland Kenya 300
Disturbing the Quiet Life? Competition and CEO Incentives 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6653204
求助须知:如何正确求助?哪些是违规求助? 8406963
关于积分的说明 17975854
捐赠科研通 5849207
什么是DOI,文献DOI怎么找? 2971933
邀请新用户注册赠送积分活动 1947529
关于科研通互助平台的介绍 1868288