Evidence map›Paper›PMID 29687287›Full record

ArticleEnvironmental monitoring and assessment2018

Quantifying the connections-linkages between land-use and water in the Kathmandu Valley, Nepal.

Jeffrey C Davids, Martine M Rutten, Ram Devi T Shah, Deep N Shah, Nischal Devkota, Petra Izeboud, Anusha Pandey, Nick van de Giesen

Abstract read
In one paragraph

Article in Environmental monitoring and assessment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jeffrey C DavidsWater Management, Delft University of Technology, TU Delft Building 23, Stevinweg 1, 2628, Delft, CN, Netherlands. j.c.davids@tudelft.nl.
Martine M RuttenWater Management, Delft University of Technology, TU Delft Building 23, Stevinweg 1, 2628, Delft, CN, Netherlands.
Ram Devi T ShahAquatic Ecology Center, Kathmandu University, Dhulikhel, Nepal.
Deep N ShahHimalayan Biodiversity and Climate Center (HimBioCliC), Bhaktapur, 44800, Nepal.
Nischal DevkotaSmartPhones4Water-Nepal (S4W-Nepal), Thusikhel, Lalitpur, Nepal.
Petra IzeboudWater Management, Delft University of Technology, TU Delft Building 23, Stevinweg 1, 2628, Delft, CN, Netherlands.
Anusha PandeySmartPhones4Water-Nepal (S4W-Nepal), Thusikhel, Lalitpur, Nepal.
Nick van de GiesenWater Management, Delft University of Technology, TU Delft Building 23, Stevinweg 1, 2628, Delft, CN, Netherlands.

Funding

Styrelsen för Internationellt Utvecklingssamarbete 2016-05801
6 · The paper itself

Abstract

Land development without thoughtful water supply planning can lead to unsustainability. In practice, management of our lands and waters is often unintegrated. We present new land-use, ecological stream health, water quality, and streamflow data from nine perennial watersheds in the Kathmandu Valley, Nepal, in the 2016 monsoon (i.e., August and September) and 2017 pre-monsoon (i.e., April and May) periods. Our goal was to improve understanding of the longitudinal linkages between land-use and water. At a total of 38 locations, the Rapid Stream Assessment (RSA) protocol was used to characterize stream ecology, basic water quality parameters were collected with a handheld WTW multi-parameter meter, and stream flow was measured with a SonTek FlowTracker Acoustic Doppler Velocimeter. A pixel-based supervised classification method was used to create a 30-m gridded land use coverage from a Landsat 8 image scene captured in the fall of 2015. Our results indicated that land-use had a statistically significant impact on water quality, with built land-uses (high and low) having the greatest influence. Upstream locations of six of the nine watersheds investigated had near natural status (i.e., river quality class (RQC) 1) and water could be used for all purposes (after standard treatments as required). However, downstream RSA measurements for all nine watersheds had RQC 5 (i.e., most highly impaired). Generally, water quality deteriorated from monsoon 2016 to pre-monsoon 2017. Our findings reinforce the importance of integrated land and water management and highlight the urgency of addressing waste management issues in the Kathmandu Valley.

Indexed as

Conservation of Natural ResourcesRiversEnvironmental MonitoringHumansNepalWater QualityWater SupplyKathmandu ValleyLand-useLand-water linkagesRapid stream assessment (RSA)Water quality

Identifiers

PMID29687287
PMCPMC5913389

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.