Impact of land-use/land-cover and landscape pattern on seasonal in-stream water quality in small watersheds

Zhang, Fei; Chen, Yun; Wang, Weiwei; Jim, Chi Yung; Zhang, Zhimin; Tan, Mou Leong; Liu, Changjiang; Chan, Ngai Weng; Wang, Di; Wang, Zheng; Rahman, Haliza Abdul

doi:10.1016/j.jclepro.2022.131907

Cited by 40 publications

(15 citation statements)

References 71 publications

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“…The Canadian Water Quality Index (CWQI) method calculates whether the waterquality monitoring data exceed the water quality standard limit in three aspects: scope, frequency, and amplitude [5]. The index provides a mathematical framework for assessing environmental water quality conditions associated with water quality objectives [41,42] (Table S4).…”

Section: Canadian Water Quality Index (Cwqi)mentioning

confidence: 99%

“…Water quality is important for ensuring the safety of drinking water, a healthy living environment, and the sustainable development of surrounding areas [1][2][3]. Studies have shown that hundreds of river systems worldwide are severely polluted and degraded by changes in land use/land cover (LULC) and associated anthropogenic activities [4][5][6]. LULC and landscape patterns, which are a combination of natural and human disturbances, profoundly affect regional hydrological processes and water quality [7,8].…”

Section: Introductionmentioning

confidence: 99%

“…LULC and landscape patterns, which are a combination of natural and human disturbances, profoundly affect regional hydrological processes and water quality [7,8]. The relationship between water quality and the surrounding land's landscape characteristics is often affected by temporal and spatial changes [5,9]. As the main carrier of non-point source pollution, land affects changes in water quality through various complex processes driven by rainfall and runoff.…”

Section: Introductionmentioning

confidence: 99%

“…Various studies have established a nexus between human activity and increases in edge density (and hence in Shannon's diversity index (SHDI)) with decreases in water quality [19]. Other studies have correlated the patch index and patch density with surface water quality [5,9,20], showing the loss of filtering capacity of fragmented forests relative to non-fragmented forests [21]. Therefore, LULC and landscape pattern analysis can provide important indicators of water quality fluctuations, indirectly reflecting human activity and pollutant transmission [5,22].…”

Section: Introductionmentioning

confidence: 99%

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Impact of Land Use/Land Cover and Landscape Pattern on Water Quality in Dianchi Lake Basin, Southwest of China

Zhang

et al. 2023

Sustainability

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The water quality of a basin is pronouncedly affected by the surrounding types of land use. Analyzing the impact of LULC and landscape patterns on water quality is critical for identifying potential drivers. To further study how LUCC affects the water quality in a typical plateau lake basin, this study investigated the impacts of land-use types on water quality in the Dianchi Lake Basin in Southwest China. We analyzed changes in land-use types and the landscape pattern of the Dianchi basin, calculated the CWQI (Canadian Water Quality Index) value based on the water quality indexes (PH, total phosphorus (TP), total nitrogen (TN), chemical oxygen demand (COD), dissolved oxygen (DO), permanganate index (CODMn), five-day biochemical ox-ygen demand (BOD5), ammonia nitrogen (NH3-N), turbitidy, and chlorophyll-a (Chla)), used the RDA (Redundancy Analysis) and SMLR (Stepwise multiple linear regression) methods, the coupling degree, coupling coordination degree, and the geographical detector model to explore the relationship between water quality and changes in the land-use type. The results show that (1) changes in the land-use types were obvious: the majority of the land, which was originally forest land, became built land in 2020 and farmland in 1990 (except for the Dianchi water). Landscape pattern indexes indicated that almost all land-use types were first scattered, then gathered from 1990 to 2020. (2) Changes in the water quality of Dianchi Lake lagged behind the changes in land-use types, and the variation trends were similar to the landscape pattern variation trends. The CWQI value decreased in a nearly linear fashion from 1990 to 1998, exhibited a slight change from 1999 to 2013, and quickly increased from 2013. (3) Land-use types demonstrated a tight correlation with the Dianchi water quality, and LPI was the most dominant factor in both Caohai Lake and Waihai Lake. (4) There were different indexes affecting the coupling coordination degrees of Caohai Lake and Waihai Lake.

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Section: Canadian Water Quality Index (Cwqi)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Impact of Land Use/Land Cover and Landscape Pattern on Water Quality in Dianchi Lake Basin, Southwest of China

Zhang

et al. 2023

Sustainability

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“…At present, the research on amplitude effect mostly appears in the analysis of landscape patterns. And the relevant methods involve grid research (Peng and Xu, 2019), buffer zone research (Zhang et al, 2023), different geographical units research (Wei et al, 2023), different administrative units research (Chen et al, 2023), etc. Due to the geographic scope of ecosystems, the functions provided by ecosystems will inevitably have a scaling effect from an ecological point of view (Winfree et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

The impact of landscape pattern changes on ecosystem services under optimal amplitude

Fan,

Li,

et al. 2024

Preprint

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Ecosystem services are generated by surface landscapes. Analyzing the impacts of ecosystem services on the changes in landscape patterns is conducive to the management of ecosystem services. Utilizing the optimal amplitude, spatially and temporally geographically weighted analysis was employed to assess the impact of landscape patterns on the alteration of ecosystem services in Zhengzhou from 2010 to 2020. The results show that : (1)The optimal amplitude of the landscape pattern analysis of Zhengzhou central urban area is 2km* 2km. (2) From 2010 to 2020, the transfer of landscape types in the central urban area of Zhengzhou mainly occurred among five types of landscapes (building land, cultivated land, water, grassland, and forest land). The degree of fragmentation in different landscape types is on the rise, and their shapes are becoming increasingly intricate. (3) From 2010 to 2020, the landscape pattern index of the central urban area of Zhengzhou had a significant impact on ecosystem services, and the impact intensity was different in different regions. In general, PD, LPI, LSI, CONTAG, and SHDI had negative effects on food production, water supply, climate regulation, and soil conservation, while LSI had positive effects on climate regulation and soil conservation. This study can provide a theoretical basis and case reference for regional planning.

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Ecological effects of land use and land cover changes on lakes in urban environments

Krishnan,

Shanthi Priya,

Senthil

2024

Sustainable Development

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Urban lakes confront significant threats due to changes in land use and land cover (LULC) resulting from urbanization and subsequent climate change. This review discusses the intricate effects of the urban heat island phenomenon on lakes, specifically attributed to LULC changes. Utilizing the Scopus and Web of Science databases, this study gathers the most pertinent earlier research in the LULC and water bodies. This study systematically categorizes variables into five distinct groups and scrutinizes the drivers, parameters, tools, and management strategies influencing the LULC dynamics on lakes. A research gap is identified in understanding the conjoined impacts of LULC and urban heat island effects within urban lake environments. The review further investigates diverse ways in which LULC impacts lakes, intersecting with multiple United Nations sustainable development goals (SDGs), notably SDGs 6, 11, 13, and 15. Consequently, this review serves as a valuable contribution to the understanding of LULC to provide substantial benefits to the urban climate research toward meeting SDGs.

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Impact of land-use/land-cover and landscape pattern on seasonal in-stream water quality in small watersheds

Cited by 40 publications

References 71 publications

Impact of Land Use/Land Cover and Landscape Pattern on Water Quality in Dianchi Lake Basin, Southwest of China

Impact of Land Use/Land Cover and Landscape Pattern on Water Quality in Dianchi Lake Basin, Southwest of China

The impact of landscape pattern changes on ecosystem services under optimal amplitude

Ecological effects of land use and land cover changes on lakes in urban environments

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