Suitable Land-Use and Land-Cover Allocation Scenarios to Minimize Sediment and Nutrient Loads into Kwan Phayao, Upper Ing Watershed, Thailand

Human activity and land-use changes have affected the water quality of Kwan Phayao, Upper Ing watershed, due to the associated high sediment load and eutrophication. This study aims to identify suitable LULC allocation scenarios for minimizing sediment and nutrient export into the lake. For this pur...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Jiraporn Kulsoontornrat, Suwit Ongsomwang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	land-use and land-cover allocation sediment and nutrient export CLUE-S model InVEST model Kwan Phayao Upper Ing watershed Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/ae86f8759355474fadad49042c6cb0f9
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:ae86f8759355474fadad49042c6cb0f9
record_format	dspace
spelling	oai:doaj.org-article:ae86f8759355474fadad49042c6cb0f92021-11-11T15:24:11ZSuitable Land-Use and Land-Cover Allocation Scenarios to Minimize Sediment and Nutrient Loads into Kwan Phayao, Upper Ing Watershed, Thailand10.3390/app1121104302076-3417https://doaj.org/article/ae86f8759355474fadad49042c6cb0f92021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/10430https://doaj.org/toc/2076-3417Human activity and land-use changes have affected the water quality of Kwan Phayao, Upper Ing watershed, due to the associated high sediment load and eutrophication. This study aims to identify suitable LULC allocation scenarios for minimizing sediment and nutrient export into the lake. For this purpose, the LULC status and change were first assessed, based on classified LULC data in 2009 and 2019 from Landsat images, using the SVM algorithm. Later, the land requirements of three scenarios between 2020 and 2029 were estimated, based on their characteristics, and applied to predict LULC change using the CLUE-S model. Then, actual LULC data in 2019 and predicted LULC data under three scenarios between 2020 and 2029 were used to estimate sediment and nutrient export using the SDR and NDR models. Finally, the ecosystem service change index identified a suitable LULC allocation for minimizing sediment or/and nutrient export. According to the results, LULC status and change indicated perennial trees and orchards, para rubber, and rangeland increased, while forest land and paddy fields decreased. The land requirements of the three scenarios provided reasonable results, as expected, particularly Scenario II, which adopts linear programming to calculate the land requirements for maximizing ecosystem service values. For sediment and nutrient export estimation under the predicted LULC for the three scenarios, Scenario II led to the lowest yield of sediment and nutrient exports, and provided the lowest average ESCI value among the three scenarios. Thus, the LULC allocation under Scenario II was chosen as suitable for minimizing sediment or/and nutrient export into Kwan Phayao. These results can serve as crucial information to minimize sediment and nutrient loads for land-use planners, land managers, and decision makers.Jiraporn KulsoontornratSuwit OngsomwangMDPI AGarticleland-use and land-cover allocationsediment and nutrient exportCLUE-S modelInVEST modelKwan PhayaoUpper Ing watershedTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10430, p 10430 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	land-use and land-cover allocation sediment and nutrient export CLUE-S model InVEST model Kwan Phayao Upper Ing watershed Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	land-use and land-cover allocation sediment and nutrient export CLUE-S model InVEST model Kwan Phayao Upper Ing watershed Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Jiraporn Kulsoontornrat Suwit Ongsomwang Suitable Land-Use and Land-Cover Allocation Scenarios to Minimize Sediment and Nutrient Loads into Kwan Phayao, Upper Ing Watershed, Thailand
description	Human activity and land-use changes have affected the water quality of Kwan Phayao, Upper Ing watershed, due to the associated high sediment load and eutrophication. This study aims to identify suitable LULC allocation scenarios for minimizing sediment and nutrient export into the lake. For this purpose, the LULC status and change were first assessed, based on classified LULC data in 2009 and 2019 from Landsat images, using the SVM algorithm. Later, the land requirements of three scenarios between 2020 and 2029 were estimated, based on their characteristics, and applied to predict LULC change using the CLUE-S model. Then, actual LULC data in 2019 and predicted LULC data under three scenarios between 2020 and 2029 were used to estimate sediment and nutrient export using the SDR and NDR models. Finally, the ecosystem service change index identified a suitable LULC allocation for minimizing sediment or/and nutrient export. According to the results, LULC status and change indicated perennial trees and orchards, para rubber, and rangeland increased, while forest land and paddy fields decreased. The land requirements of the three scenarios provided reasonable results, as expected, particularly Scenario II, which adopts linear programming to calculate the land requirements for maximizing ecosystem service values. For sediment and nutrient export estimation under the predicted LULC for the three scenarios, Scenario II led to the lowest yield of sediment and nutrient exports, and provided the lowest average ESCI value among the three scenarios. Thus, the LULC allocation under Scenario II was chosen as suitable for minimizing sediment or/and nutrient export into Kwan Phayao. These results can serve as crucial information to minimize sediment and nutrient loads for land-use planners, land managers, and decision makers.
format	article
author	Jiraporn Kulsoontornrat Suwit Ongsomwang
author_facet	Jiraporn Kulsoontornrat Suwit Ongsomwang
author_sort	Jiraporn Kulsoontornrat
title	Suitable Land-Use and Land-Cover Allocation Scenarios to Minimize Sediment and Nutrient Loads into Kwan Phayao, Upper Ing Watershed, Thailand
title_short	Suitable Land-Use and Land-Cover Allocation Scenarios to Minimize Sediment and Nutrient Loads into Kwan Phayao, Upper Ing Watershed, Thailand
title_full	Suitable Land-Use and Land-Cover Allocation Scenarios to Minimize Sediment and Nutrient Loads into Kwan Phayao, Upper Ing Watershed, Thailand
title_fullStr	Suitable Land-Use and Land-Cover Allocation Scenarios to Minimize Sediment and Nutrient Loads into Kwan Phayao, Upper Ing Watershed, Thailand
title_full_unstemmed	Suitable Land-Use and Land-Cover Allocation Scenarios to Minimize Sediment and Nutrient Loads into Kwan Phayao, Upper Ing Watershed, Thailand
title_sort	suitable land-use and land-cover allocation scenarios to minimize sediment and nutrient loads into kwan phayao, upper ing watershed, thailand
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/ae86f8759355474fadad49042c6cb0f9
work_keys_str_mv	AT jirapornkulsoontornrat suitablelanduseandlandcoverallocationscenariostominimizesedimentandnutrientloadsintokwanphayaoupperingwatershedthailand AT suwitongsomwang suitablelanduseandlandcoverallocationscenariostominimizesedimentandnutrientloadsintokwanphayaoupperingwatershedthailand
_version_	1718435385150799872

Suitable Land-Use and Land-Cover Allocation Scenarios to Minimize Sediment and Nutrient Loads into Kwan Phayao, Upper Ing Watershed, Thailand

Ejemplares similares