2020s scenario analysis of nutrient load in the Mekong River Basin using a distributed hydrological model

被引：28

作者：

Yoshimura, Chihiro ^{[1
]}

Zhou, Maichun ^{[2
]}

Kiem, Anthony S.

Fukami, Kazuhiko

Prasantha, Hapuarachchi H. A.

Ishidaira, Hiroshi ^{[3
]}

Takeuchi, Kuniyoshi

机构：

[1] Tokyo Inst Technol, Dept Civil Engn, Tokyo 1528552, Japan

[2] S China Agr Univ, Coll Water Conservancy & Civil Engn, Guangzhou, Guangdong, Peoples R China

[3] Univ Yamanashi, Interdisciplinary Grad Sch Med & Engn, Yamanashi, Japan

来源：

SCIENCE OF THE TOTAL ENVIRONMENT | 2009年 / 407卷 / 20期

关键词：

Distributed hydrological model; Total nitrogen; Total phosphorus; Scenario analysis; NITROGEN; BIODIVERSITY; CONSERVATION; TRANSPORT; IMPACT; EXPORT;

D O I：

10.1016/j.scitotenv.2009.06.026

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

A distributed hydrological model, YHyM, was integrated with the export coefficient concept and applied to simulate the nutrient load in the Mekong River Basin. In the validation period (1992-1999). Nash-Sutcliffe efficiency was 76.4% for discharge, 65.9% for total nitrogen, and 45.3% for total phosphorus at Khong Chiam. Using the model, scenario analysis was then performed for the 2020s taking into account major anthropogenic factors: climate change, population, land cover, fertilizer use, and industrial waste water. The results show that the load at Kompong Cham in 2020s is 6.3 x 10(4) tN a(-1) (+ 13.0% compared to 1990s) and 4.3 x 10(3) tP a(-1) (+ 24.7%). Overall. the noticeable nutrient sources are cropland in the middle region and urban load in the lower region. The installation of waste water treatment plants in urban areas possibly cut 60.6%N and 19.9%P of the estimated increase in the case without any treatment. (C) 2009 Elsevier B.V. All rights reserved.

引用

页码：5356 / 5366

页数：11

共 50 条

[1] DISTRIBUTED MODEL OF HYDROLOGICAL AND SEDIMENT TRANSPORT PROCESS IN MEKONG RIVER BASIN
Suif, Zuliziana
Yoshimura, Chihiro
Ahmad, Nordila
Hul, Sengheng
[J]. INTERNATIONAL JOURNAL OF GEOMATE, 2018, 14 (42): : 134 - 139
[2] Hydrological trend analysis in the Yellow River basin using a distributed hydrological model
Cong, Zhentao
Yang, Dawen
Gao, Bing
Yang, Hanbo
Hu, Heping
[J]. WATER RESOURCES RESEARCH, 2009, 45
[3] Sobol''s sensitivity analysis for a distributed hydrological model of Yichun River Basin, China
Zhang, Chi
Chu, Jinggang
Fu, Guangtao
[J]. JOURNAL OF HYDROLOGY, 2013, 480 : 58 - 68
[4] DISTRIBUTED HYDROLOGICAL MODEL FOR FUJI RIVER BASIN
Yao, Huaxia
Terakawa, Akira
[J]. JOURNAL OF HYDROLOGIC ENGINEERING, 1999, 4 (02) : 108 - 116
[5] Improving the accuracy of a grid-based distributed hydrological model using slope and river length corrections in a large river basin: case Mekong
Lauri, Hannu
Kummu, Matti
[J]. HYDROLOGY RESEARCH, 2014, 45 (4-5): : 715 - 726
[6] Development of a Distributed Hydrological Model for the Yellow River Basin
Yang, Dawen
Li, Chong
Musiake, Katumi
Kusuda, Tetsuya
[J]. PROCEEDINGS OF THE 1ST INTERNATIONAL YELLOW RIVER FORUM ON RIVER BASIN MANAGEMENT, VOL III, 2003, : 213 - 225
[7] Evaluation of a Distributed Hydrological Model for the Guishui River Basin
Zhang, Jing
Zheng, Zhen
Gong, Huili
[J]. ADVANCES IN CIVIL AND INDUSTRIAL ENGINEERING, PTS 1-4, 2013, 353-356 : 2511 - +
[8] Scenario analysis of nutrient management at the river basin scale
Kronvang, B
Svendsen, LM
Jensen, JP
Dorge, J
[J]. HYDROBIOLOGIA, 1999, 410 (0) : 207 - 212
[9] Scenario analysis of nutrient management at the river basin scale
B. Kronvang
L. M. Svendsen
J. P. Jensen
J. Dørge
[J]. Hydrobiologia, 1999, 410 : 207 - 212
[10] Future Runoff Analysis in the Mekong River Basin under a Climate Change Scenario Using Deep Learning
Lee, Daeeop
Lee, Giha
Kim, Seongwon
Jung, Sungho
[J]. WATER, 2020, 12 (06)

← 1 2 3 4 5 →